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In a model with multiple Pareto-ranked equilibria we add trade in assets that pay based on the realization of a sunspot. Asset trading restricts the equilibrium set in a way that raises welfare by eliminating equilibria with a high likelihood of disasters. When the probability of a disaster is high enough, the coordination game becomes like a prisoner’s dilemma situation in which the high-output equilibrium disappears because the portfolios that agents choose induce them to produce less. We derive an upper bound on the disaster probability, we derive asset pricing implications including the disaster premium, and we study the effect on stock prices of news shocks to beliefs.

This paper examines how news coverage of the European Central Bank (ECB) affects consumer inflation expectations in the four largest euro area countries. Utilizing a unique dataset of multilingual European news articles, we measure the impact of ECB-related inflation news on inflation expectations. Our results indicate that German and Italian consumers are more attentive to this news, whereas in Spain and France, we observe no significant response. The research underscores the role of national media in disseminating ECB messages and the diverse reactions among consumers in different euro area countries.

We consider a matching model of employment with wages that are flexible for new hires, but sticky within matches. We depart from standard treatments of sticky wages by allowing worker effort to respond to the wage being too high or low, rendering the effective wage (wage divided by output) more flexible. Shimer (2004), Pissarides (2009), and others have illustrated that employment in the Mortensen-Pissarides model does not depend on the degree of wage flexibility in existing matches. But this is not true in our model. If wages of matched workers are stuck too high in a recession, then firms will require they provide more effort. In turn, this lowers the value of additional labor, reducing new hiring.

We study the importance of financial markets for (un)employment fluctuations in a model with searching and matching frictions where firms issue debt under limited enforcement. Higher debt allows employers to bargain lower wages which in turn increases the incentive to create jobs. The transmission mechanism of 'credit shocks' is fundamentally different from the typical credit channel and the model can explain why firms cut hiring after a credit contraction even if they have not shortage of funds for hiring workers. The theoretical predictions are consistent with the estimation of a structural VAR whose identifying restrictions are derived from the theoretical model.

We propose a multicountry quantile factor augmeneted vector autoregression (QFAVAR) to model heterogeneities both across countries and across characteristics of the distributions of macroeconomic time series. The presence of quantile factors allows for summarizing these two heterogeneities in a parsimonious way. We develop two algorithms for posterior inference that feature varying level of trade-off between estimation precision and computational speed. Using monthly data for the euro area, we establish the good empirical properties of the QFAVAR as a tool for assessing the e ects of global shocks on country-level macroeconomic risks. In particular, QFAVAR short-run tail forecasts are more accurate compared to a FAVAR with symmetric Gaussian errors, as well as univariate quantile autoregressions that ignore comovements among quantiles of macroeconomic variables. We also illustrate how quantile impulse response functions and quantile connectedness measures, resulting from the new model, can be used to implemennt joint risk scenario analysis.

Financial shocks represent a major driver of fluctuations in tail risk, defined as the 5th percentile of the forecast distributions of output and inflation. Since the variance and the asymmetry of the forecast distributions are largely driven by the left tail, financial shocks turn out to play a prominent role for distribution dynamics. Monetary policy shocks also play a role in shaping risk, although its effects are smaller than those of financial shocks. These findings are obtained using a novel econometric approach which combines quantile regressions and Structural VARs.

In the following paper a simultaneous unobserved components model is applied to USAmerican and Canadian output data in order to examine the causal structure of trend and cycle shocks and the way it changes over time. The main focus is placed on the analysis of the subprime crisis impact on the trend and cycle components. The structural model is identified by means of heteroscedasticity. During the subprime crisis for both countries we determine the strong increase of the structural trend variance compared to the previous period. This underlines the permanent effect and, thus, structural problems as a potential cause. Moreover, the both components are more volatile in the Canada than in USA. A further similarity between both countries is the complete disappearance of the structural cycle shock volatility.

The literature has not yet resolved whether the effect of macroeconomic fluctuations on training decisions is positive or negative. On the one hand, the opportunity cost to train is lower during downturns, and thus training should be counter-cyclical. On the other hand, a positive shock may be related to the adoption of new technologies and increased returns to skill, making training incidence pro-cyclical. Using the Canadian panel of Workplace and Employee Survey (WES), we document another important channel at work: the relative position of a sector also matters. We find not only that training moves counter-cyclically with the aggregate business cycle (more training during downturns), but also that the idiosyncratic sectoral shocks have a positive impact on training incidence (more training in sectors doing relatively better). These findings help us better understand training decisions by firms.

Despite the distinctive character of the Austrian approach to «microfoundations for macroeconomics», the literature on free banking contains a number of arguments which make use of game-theoretic concepts and models such as the well-known Prisoner’s Dilemma model. While there can be no general a priori presumption against the possible usefulness of game-theoretic concepts for Austrian theorizing, in the context of the debate on free banking such concepts and models have been used with varying degrees of perspicacity. One example which is elaborated in the paper is concerned with the interaction configuration between independent banks in a fractional-reserve free banking system, which has sometimes been modeled as a One-Shot Prisoner’s Dilemma game. This conceptualization does not provide a sufficient argument for the in-concert overexpansion thesis, nor for the thesis that fractional-reserve free banking will tend to lead to the establishment of a central bank. The author drops the implicit assumption that there exists a one-to-one correspondence between the outcome matrix and the utility matrix. When it is acknowledged that banks in a fractional-reserve free banking system need not necessarily adopt a «myopic», self-regarding perspective but may recognize the long-run harmony of interests between the banking sector and society at large, a different conceptualization and a different matrix representation emerge. Key words: Economic Mechanism Design; Business Cycle Theory; Prisoner’s Dilemma; Free Banking. JEL codes: D01, E31, E32, E42, E52, E58, E66, G18, K39. Resumen: A pesar del carácter distintivo del enfoque austríaco de las «microfundaciones para la macroeconomía», la literatura sobre la banca libre contiene algunos argumentos que recurren a los conceptos y modelos de la teoría de juegos tales como el conocido modelo Dilema del Prisionero. A pesar de que no puede existir una presunción a priori sobre la posible utilidad de conceptos de la teoría de juegos para las teorías austríacas, en el contexto del debate sobre la banca libre tales conceptos y modelos han sido manejados con distintos grados de perspicacia. Un ejemplo elaborado en el documento comenta la configuración de interacción entre los bancos independientes en un sistema de banca libre con reserva fraccionaria, que a veces ha sido modelado como un juego de Dilema del Prisionero One-Shot. Esta conceptualización no ofrece suficientes argumentos para la tesis de la sobreexpansión in-concert, ni para la tesis de que un sistema de banca libre con reserva fraccionaria tendería a la creación de un banco central. El autor abandona la asunción implícita de que existe una correspondencia de uno a uno entre la matriz de resultado y la matriz de utilidad. Al reconocerse que los bancos en un sistema de banca libre con reserva fraccionaria no deben adoptar necesariamente una perspectiva «miope» y egoísta, pero pueden reconocer la armonía de intereses a largo plazo entre el sector bancario y la sociedad en general, surgen una conceptualización y representación de la matriz distintas. Palabras clave: Diseño de mecanismo económico; Teoría del ciclo económico; Dilema del Prisionero; Banca libre. Códigos JEL: D01, E31, E32, E42, E52, E58, E66, G18, K39.

We build a dynamic capital structure model to study the link between firms' systematic risk exposures and their time-varying debt maturity choices, as well as its implications for the term structure of credit spreads. Compared to short-term debt, long-term debt helps reduce rollover risks, but its illiquidity raises the costs of financing. With both default risk and liquidity costs changing over the business cycle, our calibrated model implies that debt maturity is pro-cyclical, firms with high systematic risk favor longer debt maturity, and that these firms will have more stable maturity structures over the cycle. Moreover, pro-cyclical maturity variation can significantly amplify the impact of aggregate shocks on the term structure of credit spreads, especially for firms with high beta, high leverage, or a lumpy maturity structure. We provide empirical evidence for the model predictions on both debt maturity and credit spreads.

This paper exploits information from the term structure of survey expectations to identify news shocks in a DSGE model with rational expectations. We estimate a structural business-cycle model with price and wage stickiness. We allow for both unanticipated and anticipated components (“news”) in each structural disturbance: neutral and investment-specific technology shocks, government spending shocks, risk premium, price and wage markup shocks, and monetary policy shocks. We show that the estimation of a standard DSGE model with realized data obfuscates the identification of news shocks and yields weakly or non-identified parameters pertaining to such shocks. The identification of news shocks greatly improves when we re-estimate the model using data on observed expectations regarding future output, consumption, investment, government spending, inflation, and interest rates - at horizons ranging from one-period to five-periods ahead. The news series thus obtained largely differ from their counterparts that are estimated using only data on realized variables. Moreover, the results suggest that the identified news shocks explain a sizable portion of aggregate fluctuations. News about investment-specific technology and risk premium shocks play the largest role, followed by news about labor supply (wage markup) and monetary policy.

What do firms learn from their interactions in markets, and what are the implications for aggregate dynamics? We address this question in a multi-sector real-business cycle model with a sparse input-output structure. In each sector, firms observe their own productivity, along with the prices of their inputs and the price of their output. We show that general equilibrium market-clearing conditions place heavy constraints on average expectations, and characterize a set of cases where average expectations (and average dynamics) are exactly those of the full-information model. This "aggregate irrelevance" of information can occur even when sectoral expectations and dynamics are quite different under partial information, and despite the fact that each sector represents a non-negligible portion of the overall economy. In numerical examples, we show that even when the conditions for aggregate irrelevance of information are not met, aggregate dynamics remain nearly identical to the full-information model under reasonable calibrations.

We study optimal monetary policy in an environment in which firms' pricing and production decisions are subject to informational frictions. Our framework accommodates multiple formalizations of these frictions, including dispersed private information, sticky information, and certain forms of inattention. An appropriate notion of constrained efficiency is analyzed alongside the Ramsey policy problem. Similarly to the New-Keynesian paradigm, efficiency obtains with a subsidy that removes the monopoly distortion and a monetary policy that replicates flexible-price allocations. Nevertheless, "divine coincidence" breaks down and full price stability is no more optimal. Rather, the optimal policy is to "lean against the wind", that is, to target a negative correlation between the price level and real economic activity.

Focusing on a very rich panel of exchange rate regimes in transition countries, this Paper asks the question of the appropriate exchange rate regime for countries aiming at joining the EU, that is, subsequently, the EMU. Four arguments plead in favour of the adoption of a fixed exchange rate regime: (i) countries sharing the same currency inside a Currency Union (CU hereafter) trade well above the average, because of lower transaction costs; (ii) emerging countries are not able to manage counter-cyclical policies; (iii) in a world of increasing financial instability, only corner solutions are feasible; (iv) last, but not least, fixing CEECs currencies could be a necessary step in a global strategy of entering the EU, that is, subsequently, the EMU. This Paper examines the first of these four arguments, that is, the fostering of trade, and provides evidence that the extra trade implied by fixing the currency is in fact close to nil, as in Padko and Wall [2000]. One corollary is that the benefit from membership into the EMU, if any, cannot be explained by the transaction cost argument only. Besides fixed effects, the explanation of the level of trade integration is to be found in the external constraint. The latter is affected by trade (positively if intra-industry trade dominates), and by monetary and fiscal policy. Increasing government spending and manipulating the exchange rate or moving towards more floating regimes might make business cycles more symmetric, relax the external constraint, and finally favour further trade integration. Given that the co-variation of East-West business cycles is already dominated by intra- industry trade, one can conclude that joining the EU, that is, two years later, the EMU, is realistic and compatible with any exchange rate regime. Empirical evidence from Transition Countries shows that the exchange rate regime is not correlated with any fundamentals – better macro-economic performance, higher growth, or deeper trade integration – and should not allow to discriminate between candidate countries for entering the EU (as for other nominal criteria).

The authors study the impact of dissent in the ECB‘s Governing Council on uncertainty surrounding households‘ inflation expectations. They conduct a randomized controlled trial using the Bundesbank Online Panel Households. Participants are provided with alternative information treatments concerning the vote in the Council, e.g. unanimity and dissent, and are asked to submit probabilistic inflation expectations. The results show that the vote is informative. Households revise their subjective inflation forecast after receiving information about the vote. Dissenting votes cause a wider individual distribution of future inflation. Hence, dissent increases households‘ uncertainty about inflation. This effect is statistically significant once the authors allow for the interaction between the treatments and individual characteristics of respondents. The results are robust with respect to alternative measures of forecast uncertainty and hold for different model specifications. The findings suggest that providing information about dissenting votes without additional information about the nature of dissent is detrimental to coordinating household expectations.

Financial shocks generate a protracted and quantitatively important effect on real economic activity and financial markets only if the shocks are both negative and large. Otherwise, their role is quite modest. Financial shocks have become more important for economic fluctuations after the 2000 and have contributed substantially to deepening the recessions of 2001 and 2008. The evidence is obtained using a new econometric procedure based on a Vector Moving Average representation that includes a nonlinear function of the financial shock.

We study the dynamic link between economic news coverage and the macroeconomy. We construct two measures of media coverage of bad and good unemployment figures based on three major US newspapers. Using nonlinear time series techniques, we document three facts: (i) there is no significant negativity bias in economic news coverage. Newspapers’ asymmetric responsiveness to positive and negative unemployment shocks is entirely explained by their asymmetric effects on unemployment; (ii) consumption reacts to bad news, but not to good news; (iii) bad news is more informative to the agents and modifies their expectations more than good news.

Despite its stability over time, as for any statistical relationship, Okun’s law is subject to deviations that can be large at times. In this paper, we provide a mapping between residuals in Okun’s regressions and structural shocks identified using a SVAR model by inspecting how unemployment responds to the state of the economy. We show that deviations from Okun’s law are a natural and expected outcome once one takes a multi-shock perspective, as long as shocks to automation, labor supply and structural factors in the labor market are taken into account. Our simple recipe for policy makers is that, if a positive deviation from Okun’s law arises, it is likely to be generated by either positive labor supply or automation shocks or by negative structural factors shocks.

This paper uses historical monthly temperature level data for a panel of 114 countries to identify the effects of within year temperature level variability on productivity growth in five different macro regions, i.e., (1) Africa, (2) Asia, (3) Europe, (4) North America and (5) South America. We find two primary results. First, higher intra-annual temperature variability reduces (increases) productivity in Europe and North America (Asia). Second, higher intra-annual temperature variability has no significant effects on productivity in Africa and South America. Additional empirical tests indicate also the following: (1) rising intra-annual temperature variability reduces productivity (even thought less significantly)in both tropical and non-tropical regions, (2) inter-annual temperature variability reduces (increases) productivity in North America (Europe) and (3) winter and summer inter-annual temperature variability generates a drop in productivity in both Europe and North America. Taken together, these findings indicate that temperature variability shocks tend to have stronger adverse economic effects among richer economies. In a production economy featuring long-run productivity and temperature volatility shocks, we quantify these negative impacts and find welfare losses of 2.9% (1%) in Europe (North America).

Recent studies attempt to quantify the empirical importance of news shocks (ie., anticipated future shocks) in business cycle fluctuations. This paper identifies news shocks in a dynamic stochastic general equilibrium model estimated with not only actual data but also forecast data. The estimation results show new empirical evidence that anticipated future technology shocks are the most important driving force of U.S. business cycles. The use of the forecast data makes the anticipated shocks play a much more important role in fitting model-implied expectations to this data, since such shocks have persistent effects on the expectations and thereby help to replicate the observed persistence of the forecasts.

We use detailed micro data to document a causal response of local retail prices to changes in local house prices, with elasticities of 15%-20% across housing booms and busts. Notably, these price responses are largest in zip codes with many homeowners, and non-existent in zip codes with mostly renters. We provide evidence that these retail price responses are driven by changes in markups rather than by changes in local costs. We then argue that markups rise with house prices, particularly in high homeownership locations, because greater housing wealth reduces homeowners' demand elasticity, and firms raise markups in response. Consistent with this explanation, shopping data confirms that house price changes affect the price sensitivity of homeowners, but not that of renters. Our evidence suggests a new source of markup variation in business cycle models.

The present work applies several advanced spectral methods to the analysis of macroeconomic fluctuations in three countries of the European Union: Italy, The Netherlands, and the United Kingdom. We focus here in particular on singular-spectrum analysis (SSA), which provides valuable spatial and frequency information of multivariate data and that goes far beyond a pure analysis in the time domain. The spectral methods discussed here are well established in the geosciences and life sciences, but not yet widespread in quantitative economics. In particular, they enable one to identify and describe nonlinear trends and dominant cycles | including seasonal and interannual components that characterize the deterministic behavior of each time series. These tools have already proven their robustness in the application on short and noisy data, and we demonstrate their usefulness in the analysis of the macroeconomic indicators of these three countries. We explore several fundamental indicators of the countries' real aggregate economy in a univariate, as well as a multivariate setting. Starting with individual single-channel analysis, we are able to identify similar spectral components among the analyzed indicators. Next, we consider combinations of indicators and countries, in order to take different effects of comovements into account. Since business cycles are cross-national phenomena, which show common characteristics across countries, our aim is to uncover hidden global behavior across the European economies. Results are compared with previous findings on the U.S. indicators (Groth et al., 2012). Finally, the analysis is extended to include several indicators from the U.S. economy, in order to examine its influence on the European market.

The recently observed disconnect between inflation and economic activity can be explained by the interplay between the zero lower bound (ZLB) and the costs of external financing. In normal times, credit spreads and the nominal interest rate balance out; factor costs dominate firms' marginal costs. When nominal rates are constrained, larger spreads can more than offset the effect of lower factor costs and induce only moderate inflation responses. The Phillips curve is hence flat at the ZLB, but features a positive slope in normal times and thus a hockey stick shape. Via this mechanism, forward guidance may induce deflationary effects.

The purpose of the “counter-cyclical capital buffer” (buffer) is to dampen procyclicality in the financial system, absorb capital losses and prevent a credit crunch during recessions. In this paper, a stylized analytical expression for optimal buffer policy is presented. Results are derived within a minimalist model framework, useful for a transparent presentation of how authorities’ preferences and structural parameters have implications for optimal buffer policy. In the model, there is a risk of a financial crisis, and an ex ante higher buffer may counteract the effects of it on the economy. The buffer also affects output in the short term, and here the difference between banks’ actual capital coverage ratio and capital requirements plays a role. Under quite general conditions, authorities will want to lower the buffer and allow banks to be less well capitalized today if the output gap is negative. The model illustrates that unless authorities care also about a stable bank capital coverage ratio (in addition to output stabilization and the costs of crisis), optimal policy may prescribe a very volatile buffer. In particular, that is the case if the effect of the buffer on output is weak. This result highlights the importance of learning more about the effects of buffer policy in order to achieve good policy design.

Since the 1970s, exports and imports of manufactured goods have been the engine of international trade and much of that trade relies on container shipping. This paper introduces a new monthly index of the volume of container trade to and from North America. Incorporating this index into a structural macroeconomic VAR model facilitates the identification of shocks to domestic U.S. demand as well as foreign demand for U.S. manufactured goods. We show that, unlike in the Great Recession, the primary determinant of the U.S. economic contraction in early 2020 was a sharp drop in domestic demand. Although detrended data for personal consumption expenditures and manufacturing output suggest that the U.S. economy has recovered to near 90% of pre-pandemic levels as of March 2021, our structural VAR model shows that the component of manufacturing output driven by domestic demand had only recovered to 57% of pre-pandemic levels and that of real personal consumption only to 78%. The difference is mainly accounted for by unexpected reductions in frictions in the container shipping market.

The secular decline in the equilibrium real interest rate observed over the past decades has materially limited the room for policy-rate reductions in recessions, and has led to a marked increase in the incidence of episodes where policy rates are likely to be at, or near, the effective lower bound on nominal interest rates. Using the ECB's New Area-Wide Model, we show that, if unaddressed, the effective lower bound can cause substantial costs in terms of worsened macroeconomic performance, as rejected in negative biases in inflation and economic activity, as well as heightened macroeconomic volatility. These costs can be mitigated by the use of nonstandard instruments, notably the joint use of interest-rate forward guidance and large-scale asset purchases. When considering alternatives to inflation targeting, we find that make-up strategies such as price-level targeting and average-inflation targeting can, if they are well-understood by the private sector, largely undo the negative biases and heightened volatility induced by the effective lower bound.

The authors examine the effectiveness of labor cost reductions as a means to stimulate economic activity and assesses the differences which may occur with the prevailing exchange rate regime. They develop a medium-scale three-region DSGE model and show that the impact of a cut in the employers’ social security contributions rate does not vary significantly under different exchange rate regimes. They find that both the interest rate and the exchange rate channel matters. Furthermore, the measure appears to be effective even if it comes along with a consumption tax increase to preserve long-term fiscal sustainability. Finally, they assess whether obtained theoretical results hold up empirically by applying the local projection method. Regression results suggest that changes in employers’ social security contributions rates have statistically significant real effects – a one percentage point reduction leads to an average cumulative rise in output of around 1.3 percent in the medium term. Moreover, the outcome does not differ significantly across the different exchange rate regimes.

Can boundedly rational agents survive competition with fully rational agents? The authors develop a highly nonlinear heterogeneous agents model with rational forward looking versus boundedly rational backward looking agents and evolving market shares depending on their relative performance. Their novel numerical solution method detects equilibrium paths characterized by complex bubble and crash dynamics. Boundedly rational trend-extrapolators amplify small deviations from fundamentals, while rational agents anticipate market crashes after large bubbles and drive prices back close to fundamental value. Overall rational and non-rational beliefs co-evolve over time, with time-varying impact, and their interaction produces complex endogenous bubble and crashes, without any exogenous shocks.

Promoting the decarbonization of economic activity through climate policies raises many questions. From a macroeconomic perspective, it is important to understand how these policies perform under uncertainty, how they affect short-run dynamics and to what extent they have distributional effects. In addition, uncertainties directly associated with climate policies, such as uncertainty about the carbon budget or emission intensities, become relevant aspects. We study the implications of emission reduction schemes within a Two-Agent New-Keynesian (TANK) model. This quantitative exercise, based on data for the German economy, provides various insights. In the light of frictions and fluctuations, compared to other instruments, a carbon price (i.e. tax) is associated with lower volatility in output and consumption. In terms of aggregate welfare, price instruments are found to be preferable. Conditional on the distribution of revenues from climate policies, quantity instruments can exert regressive effects, posing a larger economic loss on wealth-poor households, whereas price instruments are moderately progressive. Finally, we find that unexpected changes in climate policies can induce substantial aggregate adjustments. With uncertainty about the carbon budget, the costs of adjustment are larger under quantity instruments., CEPA Discussion Papers; 33

We analyse the implications of asymmetric monetary policy rules by estimating Markovswitching DSGE models for the euro area (EA) and the US. The estimations show that until mid-2014 the ECB's response to inflation was more forceful when inflation was above 2% than below 2%. Since then, the ECB's policy can be characterised as symmetric, and we quantify the macroeconomic implications of this policy change. We uncover asymmetries also in the Fed's policy, which has responded more strongly in times of crisis. We compute an optimal simple rule for the EA and the US in an environment with the effective lower bound and a low neutral real rate, and find that it prescribes a stronger response to inflation and the output gap when inflation is below target compared to when it is above target. We document its stabilisation properties had this optimal rule been implemented over the last two decades.

We offer a comprehensive evaluation of the welfare and cyclical implications of moderate trend inflation. In an extended version of a medium-scale New Keynesian model, recent proposals to increase trend inflation from 2 to 4 percent would generate a consumption-equivalent welfare loss of 3.7 percent based on the non-stochastic steady state and of 6.9 percent based on the stochastic mean. Welfare costs of this magnitude are driven by four main factors: i) multiperiod nominal wage contracting, ii) trend growth in investment-specific and neutral technology, iii) roundaboutness in the U.S. production structure, and iv) and the interaction between trend inflation and shocks to the marginal efficiency of investment (MEI), insofar that this type of shock is sufficiently persistent. Moreover, moderate trend inflation has important cyclical implications. It interacts much more strongly with MEI shocks than with either productivity or monetary shocks.

This paper builds a dynamic stochastic general equilibrium (DSGE) model of endogenous growth that is capable of generating substantial degrees of endogenous persistence in productivity. When products go out of patent protection, the rush of entry into their production destroys incentives for process improvements. Consequently, old production processes are enshrined in industries producing non-protected products, resulting in aggregate productivity persistence. Our model also generates sizeable delayed movements in productivity in response to preference shocks, providing a form of endogenous news shock. Finally, if we calibrate our model to match a high aggregate mark-up then we can replicate the negative response of hours to a positive technology shock, even without the inclusion of any frictions.

The consumption behaviour of UK, US and Japanese households is examined and compared using a modern Ando-Modigliani style consumption function. The models incorporate income growth expectations, income uncertainty, housing collateral and other credit effects. These models therefore capture important parts of the financial accelerator. The evidence is that credit availability for UK and US but not Japanese households has undergone large shifts since 1980. The average consumption-to-income ratio shifted up in the UK and US as mortgage down-payment constraints eased and as the collateral role of housing wealth was enhanced by financial innovations, such as home equity loans. The estimated housing collateral effect is roughly similar in the US and UK, while land prices in Japan still have a negative effect on consumer spending. Together with evidence for negative real interest rate effects in the UK and US and positive ones in Japan, this suggests important differences in the transmission of monetary and credit shocks between Japan and the US, UK and other credit-liberalized economies.

There is widespread disagreement about the role of housing wealth in explaining consumption. This paper exploits liquid and illiquid wealth time series from household balance sheet data for South Africa, previously constructed by the authors, to explain fluctuations in the ratios of consumption and household debt to income in South Africa, from 1971 to 2005. The paper emphasizes the role of substantial credit liberalization and of wealth, treating credit conditions as a latent variable with key interactions with drivers of consumption and debt. Credit conditions are proxied by a spline function entering jointly estimated consumption, debt and income expectations equations in a 'latent interactive variable equation system' (LIVES). The empirical results corroborate the theory in the paper, confirming that consumption relative to income is driven by credit liberalization, fluctuations in a range of asset values and asset accumulation, uncertainty and income expectations, inter alia. The paper confirms a collateral interpretation of housing wealth on consumption as opposed to a life-cycle interpretation. The paper also throws important light on the monetary policy transmission mechanism in South Africa.

This paper intends to harmonize two different approaches employed in the analysis of business cycles and, in doing so, it retrieves the stylized facts of the business cycle in Europe. We start with the ‘classical’ approach proposed in Burns and Mitchell (1946) of dating and analyzing the business cycle. The stylized facts retrieved are commented and compared to those obtained by Harding and Pagan (2002) for the U.S.. Two conclusions can be extracted from the results: a) though the turning points obtained for individual countries seem to cluster and would suggest the idea of a common cycle, there are relevant differences in the stylized facts characterizing the business cycle in the individual European economies under analysis; b) moreover, we find relevant differences in the business cycle stylized facts of the European countries and the U.S., mostly in terms of the duration, the amplitude of the cycle and the shape of the recovery. We then adopt the ‘modern’ alternative: the Markov-switching vector autoregression (MS-VAR). The model’s regime probabilities provide an optimal statistical inference of the turning point of the European business cycle. For assessing the capacity of the parametric approach to generate the stylized facts of the classical cycle in Europe, the stylized facts of the original data are compared to those of simulated data. Contrary to the results reported by Harding and Pagan (2002) , we show that the MS-VAR model is a good candidate to be used as an statistical instrument to improve the understanding of the business cycle.

The paper examines implications of inflation persistence for business cycle dynamics following terms of trade shock in a small oil producing economy, under inflation targeting and exchange rate targeting regimes. It is shown that due to the ‘Walters critique’ effect, the country’s adjustment paths are slow and cyclical if there is a significant backward-looking element in the inflation dynamics and the exchange rate is fixed. It is also shown that such cyclical adjustment paths are moderated if there is a high proportion of forward-looking price setters in the economy, so that when the Phillips curve becomes completely forward-looking cyclicality in adjustment paths disappears and the response of the real exchange rate becomes hump-shaped. In contrast, with an independent monetary policy, irrespective of the degree of inflation persistence, flexible exchange rate allows to escape severe cycles, which results in a smooth response of the real exchange rate.

In models with a representative infinitely lived household, tax smoothing implies that the steady state of government debt should follow a random walk. This is unlikely to be the case in overlapping generations (OLG) economies, where the equilibrium interest rate may differ from the policy maker's rate of time preference. It may therefore be optimal to reduce debt today to reduce distortionary taxation in the future. In addition, the level of the capital stock in these economies is likely to be suboptimally low, and reducing government debt will crowd in additional capital. Using a version of the Blanchard-Yaari model of perpetual youth, with both public and private capital, we show that it is optimal in steady state for the government to hold assets. However, we also show how and why this level of government assets can fall short of both the level of debt that achieves the optimal capital stock and the level that eliminates income taxes. Finally, we compute the optimal adjustment path to this steady state.

We analyze the individual and macroeconomic impacts of heterogeneous expectations and action rules within an agent-based model populated by heterogeneous, interacting firms. Agents have to cope with a complex evolving economy characterized by deep uncertainty resulting from technical change, imperfect information and coordination hurdles. In these circumstances, we find that neither individual nor macroeconomic dynamics improve when agents replace myopic expectations with less naïve learning rules. In fact, more sophisticated, e.g. recursive least squares (RLS) expectations produce less accurate individual forecasts and also considerably worsen the performance of the economy. Finally, we experiment with agents that adjust simply to technological shocks, and we show that individual and aggregate performances dramatically degrade. Our results suggest that fast and frugal robust heuristics are not a second-best option: rather they are “rational” in macroeconomic environments with heterogeneous, interacting agents and changing “fundamentals”.

Did the Federal Reserves’ Quantitative Easing (QE) in the aftermath of the financial crisis have macroeconomic effects? To answer this question, the authors estimate a large-scale DSGE model over the sample from 1998 to 2020, including data of the Fed’s balance sheet. The authors allow for QE to affect the economy via multiple channels that arise from several financial frictions. Their nonlinear Bayesian likelihood approach fully accounts for the zero lower bound on nominal interest rates. They find that between 2009 to 2015, QE increased output by about 1.2 percent. This reflects a net increase in investment of nearly 9 percent, that was accompanied by a 0.7 percent drop in aggregate consumption. Both, government bond and capital asset purchases were effective in improving financing conditions. Especially capital asset purchases significantly facilitated new investment and increased the production capacity. Against the backdrop of a fall in consumption, supply side effects dominated which led to a mild disinflationary effect of about 0.25 percent annually.

This paper proposes a postcrisis New Keynesian model that incorporates agent heterogeneity in borrowing and lending with a minimum set of assumptions. Unlike the standard framework, this model makes the natural rate of interest endogenous and dependent on macroeconomic policy. The main application is to study optimal monetary policy at the zero lower bound (ZLB). Such policy succeeds in raising the natural rate of interest by creating an environment that speeds up deleveraging and thus endogenously shortens the crisis and the duration of binding ZLB. Inflation should be front-loaded and should overshoot its long-term target during the ZLB episode. (JEL E12, E31, E32, E43, E52)

I explore the macroeconomic implications of borrowers facing both loan-to-value (LTV) and debt-service-to-income (DTI) limits, using an estimated DSGE model. I identify when each constraint dominated over the period 1984-2019: LTV constraints dominate in contractions, when house prices are relatively low - and DTI constraints dominate in expansions, when interest rates are relatively high. I also find that DTI standards were relaxed during the mid-2000s' boom, and that lower DTI limits or higher interest rates, but not lower LTV limits, would have prevented the boom. Finally, county panel data attest to multiple credit constraints as a source of nonlinear dynamics.

In this paper we extend the standard Blanchard-Quah decomposition to enable fluctuations in aggregate demand to have a long-run impact on the productive capacity of the economy through hysteresis effects. These demand shocks are found to be quantitatively important in the US, in particular if the Great Recession is included in the sample. Demand-driven recessions lead to a permanent decline in employment while output per worker is largely unaffected. The negative impact of a permanent decline in investment (including R&D investment) on productivity is compensated by the fact that the least productive workers are disproportionately hit by the shock and exit the labor force.

This paper documents the suite of models used by Norges Bank to estimate the output gap. The models are estimated using data on GDP, unemployment, inflation, wages, investment, house prices and credit. We evaluate the estimated output gap series in terms of its forecasting properties, its reliability and its cyclical sensitivity to various measures of demand and supply shocks. A simple un-weighted average of the models features a better forecasting performance than each individual model. In addition, it helps predicting inflation in pseudo real-time and exhibits limited variations when new data become available. The summary measure of potential output responds strongly and rapidly to permanent shocks and to narrative measures of technology shocks but, although to a more limited extent, also to transitory shocks.

We evaluate the role of financial conditions as predictors of macroeconomic risk first in the quantile regression framework of Adrian et al. (2019b), which allows for non-linearities, and then in a novel linear semi-structural model as proposed by Hasenzagl et al. (2018). We distinguish between price variables such as credit spreads and stock variables such as leverage. We find that (i) although the spreads correlate with the left tail of the conditional distribution of GDP growth, they provide limited advanced information on growth vulnerability; (ii) nonfinancial leverage provides a leading signal for the left quantile of the GDP growth distribution in the 2008 recession; (iii) measures of excess leverage conceptually similar to the Basel gap, but cleaned from business cycle dynamics via the lenses of the semi-structural model, point to two peaks of accumulation of risks – the eighties and the first eight years of the new millennium, with an unstable relationship with business cycle chronology.

This paper investigates the interdependence between the risk-pooling activity of the financial sector and: output, consumption, risk-free rate, and Sharpe ratio in a dynamic general equilibrium model of a productive economy. Due to their exposure to idiosyncratic shocks and market segmentation, heterogeneous households/entrepreneurs (h/entrepreneurs) are willing to mitigate their risk through a financial sector. The financial sector pools risky claims issued by different firms within its assets, faces an associated intermediation cost and, via leverage, provides a risk-free asset to h/entrepreneurs. Exogenous systematic shocks change the relative size of the financial sector, and thus the equilibrium amount of pooled risk, making financial leverage state-dependent and counter-cyclical. We study how this mechanism endogenously channels amplification of consumption and mitigation of output fluctuations. In equilibrium, financial sector leverage also determines counter-cyclical Sharpe ratios and pro-cyclical risk-free interest rates. Last, we investigate the relationship between the size of the financial sector, leverage, and welfare. We show that limiting financial sector leverage determines a sub-optimal pooling of idiosyncratic risk but fosters the growth rate of the h/entrepreneurs’ consumption. On the other side, when the financial sector is too large, it destroys too many resources after intermediation costs. Therefore, the h/entrepreneurs benefit the most when the financial sector is neither too small nor too big.

Using a nonlinear Bayesian likelihood approach that fully accounts for the lower bound on nominal interest rates, we analyze US post-crisis macroeconomic dynamics and provide reference parameter estimates. We find that despite the attention received in the literature, neither the inclusion of financial frictions nor that of household heterogeneity improves the empirical fit of the standard model or its ability to provide a joint explanation for the post-2007 dynamics. Associated financial shocks mis-predict an increase in consumption. We illustrate that the common practice of omitting the ZLB period in the estimation severely distorts the analysis of the latest economic dynamics.

We study the incidence and severity of lower-bound episodes and the efficacy of three types of state-dependent policies - forward guidance about the future path of interest rates, large-scale asset purchases and spending-based fiscal stimulus - in ameliorating the adverse consequences stemming from the effective lower bound on nominal interest rates. In particular, we focus on the euro area economy and examine, using the ECB's New Area-Wide Model, the consequences of the lower bound both for the near-term economic outlook, characterised by persistently low nominal interest rates and inflation, and in a lasting low-real-interest-rate world. Our findings suggest that, if unaddressed, the lower bound can have very substantial costs in terms of worsened macroeconomic performance. Forward guidance, if fully credible, is most powerful and can largely undo the distortionary effects due to the lower bound. A combination of imperfectly credible forward guidance, asset purchases and fiscal stimulus is almost equally effective, in particular when asset purchases enhance the credibility of the forward guidance policy via a signalling effect.

We propose a novel identification scheme for a nontechnology business cycle shock, which we label “sentiment”. This is a shock orthogonal to identified surprise and news TFP shocks that maximize the short-run forecast error variance of an expectational variable, alternatively a GDP forecast or a consumer confidence index. We then estimate the international transmission of three identified shocks—surprise TFP, news of future TFP, and sentiment—from the United States to Canada. The US sentiment shock produces a business cycle in the United States, with output, hours, and consumption rising following a positive shock, and accounts for the bulk of the US short-run business cycle fluctuations. The sentiment shock also has a significant impact on Canadian macroaggregates. In the short run, it is more important than either the surprise or the news TFP shocks in generating business cycle comovement between the United States and Canada, accounting for over 40% of the forecast error variance of Canadian GDP and over one-third of Canadian hours, imports, and exports. The news shock is responsible for some comovement at 5–10 years, and surprise TFP innovations do not generate synchronization. We provide a simple theoretical framework to illustrate how the US sentiment shocks can transmit to Canada.

We show that a model with imperfectly forecastable changes in future productivity and an occasionally binding collateral constraint can match a set of stylized facts about “sudden stop” events. “Good” news about future productivity raises leverage during times of expansion, increasing the probability that the constraint binds, and a sudden stop occurs, in future periods. The economy exhibits a boom period in the run-up to the sudden stop, with output, consumption, and investment all above trend, consistent with the data. During the sudden stop, the nonlinear effects of the constraint induce output, consumption, and investment to fall substantially below trend, as they do in the data.

We use a panel of 20 OECD countries over a 30-year period to investigate empirically the implications of international capital mobility for aggregate unemployment dynamics. To this aim, we employ standard regression analysis and dynamic simulations to illustrate the channels through which international capital mobility impacts unemployment adjustments to productivity shocks and in turn quantify its effect on unemployment volatility. We find that capital mobility plays a significant role in generating unemployment responses to idiosyncratic productivity shocks which are wider but less persistent. Moreover, the evidence we provide suggests that the responsive- ness effect dominates the persistence effect, implying a net increase in unemployment volatility due to higher international capital mobility. Finally, if we simulate the effects of an increase of international capital mobility of the same order of magnitude of that occurred in the OECD countries after the mid-80s, we obtain a rise in the volatility of unemployment rate which is comparable to that observed in those countries in the same years.