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The last 2 years have presented previously unforeseen challenges in pulmonary medicine. Despite the significant impact of the SARS-CoV-2 pandemic on patients, clinicians and communities, advances in the care and understanding of interstitial lung disease (ILD) continued unabated. Recent studies have led to improved guidelines, better understanding of the role for antifibrotics in fibrosing ILDs, prognostic indicators and novel biomarkers. In this concise contemporary review, we summarize many of the important studies published in 2021, highlighting their relevance and impact to the management and knowledge of ILD.

We study the impact of child work on cognitive development in four Low‐ and Middle‐Income Countries. We advance the literature by using cognitive test scores collected regardless of school attendance. We also address a key gap in the literature by controlling for children's complete time allocation budget. This allows us to estimate effects of different types of work, like chores and market/farm work, relative to specific alternative time‐uses, like school or study or play/leisure. Our results show child work is more detrimental to child development to the extent that it crowds out school/study time rather than leisure. We also show the adverse effect of time spent on domestic chores is similar to time spent on market and farm work, provided they both crowd out school/study time. Thus, policies to enhance child development should target a shift from all forms of work toward educational activities.

In this paper we structurally estimate a life-cycle model of consumption/savings, labor supply and retirement, using data from the Australian HILDA panel. We use the model to evaluate effects of the Australian aged pension system and tax policy on labor supply, consumption and retirement decisions. Our model accounts for human capital accumulation via learning by doing, as well as wealth accumulation and decumulation over the life cycle, uninsurable wage risk, credit constraints, a non-absorbing retirement decision, and labor market frictions. We account for the “bunching” of hours by discretizing job offers into several hours levels, allowing us to investigate labor supply on both intensive and extensive margins. Our model allows us to quantify the effects of anticipated and unanticipated tax and pension policy changes at different points of the life cycle. Our results imply that the Australian Aged Pension system as currently designed is very poorly targeted, so that means testing and other program rules could be improved.

We propose new methods to model behavior and conduct welfare analysis in complex environments where some choices are unlikely to reveal preferences. We develop a mixture-of-experts model that incorporates heterogeneity in consumers’ preferences and in their choice processes. We also develop a method to decompose logit errors into latent preferences versus optimization errors. Applying these methods to Medicare beneficiaries’ prescription drug insurance choices suggests that: (1) average welfare losses from suboptimal choices are small, (2) beneficiaries with dementia and depression have larger losses, and (3) policies that simplify choice sets offer small average benefits, helping some people but harming others.

The COVID-19 pandemic has changed perceptions of human mortality. Statistics of infection and vaccination rates dominate news bulletins. An aphorism by the French poet and critic Paul Valery captur...

Using data on essentially every US Supreme Court decision since 1946, we estimate a model of peer effects on the Court. We consider both the impact of justice ideology and justice votes on the votes of their peers. To identify these peer effects we use two instruments. The first is based on the composition of the Court, determined by which justices sit on which cases due to recusals or health reasons for not sitting. The second utilizes the fact that many justices previously sat on Federal Circuit Courts and are empirically much more likely to affirm decisions from their “home” court. We find large peer effects. Replacing a single justice with one who votes in a conservative direction 10 percentage points more frequently increases the probability that each other justice votes conservative by 1.63 percentage points. In terms of votes, a 10 percentage point increase in the probability that a single justice votes conservative leads to a 1.1 percentage increase in the probability that each other justice votes conservative. Finally, a single justice becoming 10% more likely to vote conservative increases the share of cases with a conservative outcome by 3.6 percentage points – excluding the direct effect of that justice – and reduces the share with a liberal outcome by 3.2 percentage points. In general, the indirect effect of a justice’s vote on the outcome through the votes of their peers is typically several times larger than the direct mechanical effect of the justice’s own vote.

Entrepreneurs have become the driving force of China’s economy over the past few decades. With a rapid surge in the growth of digital platforms, and the success of China’s platforms outside China, the aspiration to be entrepreneurial is recognized and celebrated. Increasingly, women are benefitting from this entrepreneurial fever. However, behind the increasing number of emerging women digital entrepreneurs, is the struggle to gain recognition. Drawing on cases studies of female digital startups, the article investigates some of the dilemmas faced when women strive to develop entrepreneurial identities. The article problematizes distinctions between the entrepreneur in a general sense, the creative entrepreneur, and female creative entrepreneurs. Whereas an entrepreneur in China is often conflated with a business owner, the identity of the creative entrepreneur is more precarious and unstable. The article finds that besides the difficulty to sustain a creative-based entrepreneurial identity, the hyper-competitive and masculinist fields of digital entrepreneurship and technical fields, combined with traditional gender roles and family responsibility, results in a devaluation of female entrepreneurship.

The chapter explores the role of smart phones and mobile apps in the process of third age formation in Zhengzhou, a second-tier city in China located in central Henan province. The term ‘third age' refers to a transition period from active work to retirement. Compared with the previous generation, the demographic approaching retirement in China today is more digitally literate, although this varies accordingly in Zhengzhou, a second-tier city. The use of digital technology offers people a different kind of retirement. This study shows that an increasing number of people around retirement age (55-65) in Zhengzhou are using smart phones and apps to reimagine the possibilities of post-work lifestyles. The research asks if the use of mobile apps is changing peoples' perspectives on traditional responsibilities and peoples' expectations of retirement.

To evaluate the sensitivity of the Securetec DrugWipe 6 S Ketamine device in detecting salivary ketamine, we administered three fixed, increasing sub-anaesthetic doses of intravenous ketamine solut...

We study potential impacts of future climate change on U.S. agricultural productivity using county‐level yield and weather data from 1950 to 2015. To account for adaptation of production to different weather conditions, it is crucial to allow for both spatial and temporal variation in the production process mapping weather to crop yields. We present a new panel data estimation technique, called mean observation OLS (MO‐OLS) that allows for spatial and temporal heterogeneity in all regression parameters (intercepts and slopes). Both forms of heterogeneity are important: We find strong evidence that production function parameters adapt to local climate, and also that sensitivity of yield to high temperature declined from 1950–89. We use our estimates to project corn yields to 2100 using 19 climate models and three greenhouse gas emission scenarios. We predict unmitigated climate change will greatly reduce yield. Our mean prediction (over climate models) is that adaptation alone can mitigate 36% of the damage, while emissions reductions consistent with the Paris targets would mitigate 76%.

China’s emergence as a technological power is now unquestioned. Since the early 2000s, the Chinese government has invested heavily in information and communication technology. Rather than seeing the internet as a challenge to its hegemony, the government has allowed leading communications companies to offer new digital services, many of which enhance peoples’ lifestyles, while others allow people to express their loyalty to the nation. The Party-state has in the process found a new solution to asserting control. This article investigates the concept of a ‘digital civilisation’, in particular how civilisational discourses associated with the Party-state since the beginning of the economic reforms have found new applications in online technologies. It draws on the ancient metaphor of flood control to show how behaviour is redirected, or nudged, towards digital lifestyle choices. Examples discussed include the multiplicity of QR codes, mobile payments, the social credit system, the Strong Nation ( xuexi qiangguo) app and the Huawei Harmony operating system (OS).

The influence of China on the world stage is beyond question; however, this influence is most evident in the realm of economics. Since the early 2000s China’s media and cultural industries have mad...

PURPOSE/BACKGROUND As a sole agent, ketamine acutely compromises driving ability; however, performance after coadministration with the adjuvant sedating agents dexmedetomidine or fentanyl is unclear. METHODS/PROCEDURES Using a randomized within-subject design, 39 participants (mean ± SD age, 28.4 ± 5.8 years) received 0.3 mg/kg bolus followed by 0.15 mg kg h infusion of ketamine (3-hour duration), in addition to either (i) 0.7 μg kg h infusion of dexmedetomidine for 1.5 hours (n = 19; KET/DEX) or (ii) three 25 μg fentanyl injections for 1.5 hours (n = 20; KET/FENT). Whole blood drug concentrations were determined during ketamine only, at coadministration (KET/DEX or KET/FENT) and at 2 hours after treatment. Subjective effects were determined using a standardized visual analog scale. Driving performance was assessed at baseline and at posttreatment using a validated computerized driving simulator. Primary outcomes included SD of lateral position (SDLP) and steering variability (SV). FINDINGS/RESULTS Administration of ketamine with dexmedetomidine but not fentanyl significantly increased SDLP (F1,18 = 22.60, P < 0.001) and reduced SV (F1,18 = 164.42, P < 0.001) 2 hours after treatment. These deficits were comparatively greater for the KET/DEX group than for the KET/FENT group (t37 = -5.21 [P < 0.001] and t37 = 5.22 [P < 0.001], (respectively). For the KET/DEX group, vehicle control (SV) and self-rated performance (visual analog scale), but not SDLP, was inversely associated with ketamine and norketamine blood concentrations (in nanograms per milliliter). Greater subjective effects were moderately associated with driving deficits. IMPLICATIONS/CONCLUSIONS Driving simulator performance is significantly compromised after coadministration of analgesic range doses of ketamine with dexmedetomidine but not fentanyl. An extended period of supervised driver abstinence is recommended after treatment, with completion of additional assessments to evaluate home readiness.

Older adults display difficulties in encoding and retrieval of information, resulting in poorer memory. This may be due to an inability of older adults to engage elaborative encoding strategies during learning. This study examined behavioural and electrophysiological effects of explicit cues to self-initiate learning during encoding and subsequent recognition of words in younger adults (YA), older control adults (OA) and older adults with relative memory impairment (OD). The task was a variation of the old/new paradigm, some study items were preceded by a cue to learn the word (L) while others by a do not learn cue (X). Behaviourally, YA outperformed OA and OD on the recognition task, with no significant difference between OA and OD. Event-related potentials at encoding revealed enhanced early visual processing (70-140 ms) for L- versus X-words in young and old. Only YA exhibited a greater late posterior positivity (LPP; 200-500 ms) for all words during encoding perhaps reflecting superior encoding strategy. During recognition, only YA differentiated L- versus X-words with enhanced frontal P200 (150-250 ms) suggesting impaired early word selection for retrieval in older groups; however, OD had enhanced P200 activity compared to OA during L-word retrieval. The LPP (250-500 ms) was reduced in amplitude for L-words compared to both X- and new words. However, YA showed greater LPP amplitude for all words compared to OA. For older groups, we observed reduced left parietal hemispheric asymmetry apparent in YA during encoding and recognition, especially for OD. Findings are interpreted in the light of models of compensation and dedifferentiation associated with age-related changes in memory function.

This paper looks at China’s soft power strategy in relation to the film industry, which since the early 2000s has opened to international co-productions and investment. Despite many coprodu...

Most work in optimal tax theory relies on simple labor supply models that fail to incorporate insights from the modern labor supply literature. As a result, it may have reached misleading conclusions regarding the optimal tax structure. The recent work on labor supply that I review here emphasizes human capital investment and the participation margin. When the data is viewed through the lens of models that account for these features, it implies labor supply is more elastic than conventional wisdom suggests. Recent work also stresses how elasticities vary by age, education, gender and marital status. Here I explore the implications of these recent developments in the labor supply literature for the optimal design of the tax system. I also review some recent work in the optimal tax literature that does utilize more sophisticated labor supply models, and discuss how incorporating those features influences optimal tax calculations.

There is a long standing controversy over the magnitude of the Frisch labor supply elasticity. Macro economists using DSGE models often calibrate it to be large, while many micro data studies find it is small. Several papers attempt to reconcile the micro and macro results. We offer a new and simple explanation: Most micro studies estimate the Frisch using a 2SLS regression of hours changes on income changes. But available instruments are typically "weak." In that case, we show it is an inherent property of 2SLS that estimates of the Frisch will (spuriously) appear more precise when they are more shifted in the direction of the OLS bias, which is negative. As a result, Frisch elasticities near zero will (spuriously) appear to be precisely estimated, while large estimates will appear to be imprecise. This pattern makes it difficult for a 2SLS t-test to detect a true positive Frisch elasticity. We show how the use of a weak instrument robust hypothesis test, the Anderson-Rubin (AR) test, leads us to conclude the Frisch elasticity is large and significant in the NLSY97 data. In contrast, a conventional 2SLS t-test would lead us to conclude it is not significantly different from zero. Our application illustrates a fundamental problem with 2SLS t-tests that arises quite generally, even with strong instruments. Thus, we argue the AR test should be widely adopted in lieu of the t-test.

It is well-understood that 2SLS has poor properties if instruments are exogenous but weak. We clarify these properties, explain weak instrument tests, and study how behavior of 2SLS depends on instrument strength. A common standard for acceptable instruments is a first-stage F-statistic of at least 10. But we show 2SLS has poor properties in that context: Besides having little power, 2SLS generates artificially low standard errors precisely in those samples where it generates estimates most contaminated by endogeneity. This problem persists even when instruments are very strong, causing one-tailed 2SLS t-tests to suffer from severe size distortions unless F approaches 10,000. The Anderson-Rubin test alleviates this problem, and should be used even with strong instruments. A first-stage F of 50 or more is necessary to give reasonable confidence that 2SLS will outperform OLS. Otherwise, OLS combined with controls for sources of endogeneity may be a superior research strategy to IV.

Comparing the 1935 and 1975 U.S. birth cohorts, wages of married women grew twice as fast as for married men, and the wage gap between married and single women turned from negative to positive. The employment rate of married women also increased sharply, while that of other groups remained quite stable. To better understand these diverse patterns, we develop a life‐cycle model incorporating individual and household decisions about education, employment, marriage/divorce, and fertility. The model provides an excellent fit to wage and employment patterns, along with changes in education, marriage/divorce rates, and fertility. We assume fixed preferences, but allow for four exogenously changing factors: (i) mother's education, health, and taxes/transfers; (ii) marriage market opportunities and divorce costs; (iii) the wage structure and job offers; (iv) contraception technology. We quantify how each factor contributed to changes across cohorts. We find that factor (iii) was the most important force driving the increase in relative wages of married women, but that all four factors are important for explaining the many socio‐economic changes that occurred in the past 50 years. Finally, we use the model to simulate a shift from joint to individual taxation. In a revenue‐neutral simulation, we predict this would increase employment of married women by 9% and the marriage rate by 8.1%.

India has a high level of out-of-pocket (OOP) health care spending, and lacks well developed health insurance markets. As a result, official measures of poverty and inequality that treat medical spending symmetrically with consumption goods can be misleading. We argue that OOP medical costs should be treated as necessary expenses for the treatment of illness, not as part of consumption. Adopting this perspective, we construct poverty and inequality measures for India that account for impoverishment induced by OOP medical costs. For 2011/12 we estimate that 4.1% of the population, or 50 million people, are in a state of “hidden poverty” due to medical expenses (based on official poverty lines). Furthermore, while poverty in India fell substantially from 1999/00 to 2011/12, the fraction of the remaining poverty that is due to medical costs has risen substantially. Economic growth appears less “pro-poor” if one accounts for OOP medical costs, especially since 2004/05, and especially in rural areas. Finally, we look beyond poverty rates to show how OOP health costs affect the entire shape of the consumption distribution.

China’s cultural and creative industries were, and to some extent remain, predicated on material culture, illustrated by the rollout of hundreds of cultural parks and creative clusters. The emphasis within the 13th Five-year Plan is for a digitally connected China. Associated with this is the concept of collaborative innovation. In this chapter the authors question if collaborative innovation will deliver the scale of benefits that the industrial economy has achieved. Certainly, the emphasis on collaboration, efficiency and knowledge is a different blueprint than the industrial clusters of the previous decade, most of which ended up as real estate projects. The chapter looks at so-called incubators, makerspaces and innovation hubs in Hangzhou and Shenzhen. Noting the presence there of commercial digital companies such as Alibaba and Tencent, the authors look at the potential of these spaces to generate digital disruption, and ultimately innovation.

The acute and delayed effect of analgesic-range doses of ketamine on neurocognitive and behavioural outcomes is understudied. Using a non-controlled open-labelled design, three (1-h duration) increasing intravenous (IV) ketamine infusions comprising (i) 30 mg bolus of ketamine + 8 mg/h IV infusion, (ii) 12 mg/h IV infusion and (iii) 20 mg/h infusion were administered to 20 participants (15 male, 5 female, mean age = 30.8 years). Whole-blood ketamine and norketamine concentrations were determined at each treatment step and post-infusion. The Cambridge Neuropsychological Test Automated Battery (CANTAB) was used to assess reaction/movement time (RTI, Simple and 5-Choice), visuospatial working memory (SWM), spatial planning (SOC) and subjective effects (visual analogue scale; VAS) during treatment and at post-treatment. Significant main effects were reported for time (dose) on CANTAB RTI 5-Choice reaction (F(4,18) = 3.41, p = 0.029) and movement time (F(4,18) = 4.42, p = 0.011), SWM (F(4,18) = 4.19, p = 0.014) and SOC (F(4,18) = 4.13, p = 0.015), but not RTI Simple reaction or movement time. Post hoc analyses revealed dose-dependent effects for both RTI 5-Choice reaction and movement time (all p

Nearly ten years ago, Tobin described the irony that evidence-based medicine (EBM) lacks a sound scientific basis. A sentinel paper concluded that most results of medical research were false, and now the same author, a well-lauded EBM proponent, argues that even if true, most clinical research is not useful and now concedes that EBM has been 'hijacked' by 'vested interests' including industry and researchers. The community expends vast resources on research, yet it has been estimated that there is an 85% 'waste in the production and reporting of research evidence'. Should we continue with the same paradigm and expect better results? In this counterpoint, we argue 'no'

In this paper, we chart the development of creative cities from urban clusters through to ‘characteristic towns’, the latter typology reflecting a government desire to build distinctive cultural brands. We illustrate how this recent development iteration has played out in Hangzhou and its relationship to Internet+, a policy blueprint introduced by the Chinese government in March 2015 which underpins ambitions to make China an innovative nation. The term ‘entrepreneurial solutionism’ describes a proclivity to see digital technology as a solution to China’s social and economic problems, and a way to enhance the realisation of the ‘Chinese Dream’ of national rejuvenation. Central to the Internet + blueprint is the slogan ‘mass entrepreneurship, mass innovation’, suggesting elements of the kind of Silicon Valley style neoliberalism, often celebrated in start-up cultures. While it has become fashionable to append the term neoliberalism to China’s developments, we argue that China’s reversion to hard au...

The rapid development of digital technology infrastructure in the People’s Republic of China, together with the government’s recent support of grassroots innovation, has led to a growing mood of techno-nationalism as well as a feeling that digital technology can play an important role in renovating China’s international image. Powerful internet companies are challenging the dominance of traditional state-owned media. Cultural products are digitized, distributed, and consumed on online platforms. Such platforms offer consumers a choice of content through subscription, either free or paid. With China’s media and culture striving to ‘go out’ (zou chuqu走出去), typified bycctvand Confucius Institutes, we pose the question: Can China use the ‘digital power’ of the internet to achieve international recognition as an ‘innovative nation’ or will the internet perpetuate a stereotype of China as a copycat nation?

It is deliberately misleading to make general claims that hydroxychloroquine doesn’t work for CoViD-19. It is even more misleading to claim that “the evidence” proves that hydroxychloroquine doesn’t work. To understand this, consider the use of parachutes. Consider someone who claimed that parachutes don’t work to stop death or serious injury when jumping out of a plane. What if they further claimed that “the evidence” proves that parachutes don’t work? Now consider if this same person advocated that because parachutes “don’t work”, we should ban their use and demanded that conscientious pilots who give a parachute to someone jumping out of a plane should lose their pilot’s license. Surely, such claims would be considered false and misleading. Two classic parodies, published in the British Medical Journal, showed that the above statements about parachutes are technically true. In 2003, a straight-faced literature search found no high quality, randomized, placebo-controlled trials of parachutes. The fact that people usually get squashed to smithereens when they hit the ground without a parachute was just epidemiological data. There’s no proof the parachute makes any difference. It could be due to confounding factors or bias. Subsequently, in 2018, a group of researchers actually did a randomized, placebo-controlled trial of the use of parachutes when jumping from a plane. There was no difference in death or serious injury in those who wore a parachute and those who didn’t. However, the participants jumped out of a plane 60cm off the ground while it was stationary. So, it would, or course, be misleading to make the claim that the “evidence says that parachutes don’t work.” That is, the general claim that parachutes “don’t work” cannot be derived from studies where they are not used in the situation where they can provide benefit. Of course, everyone is going to survive whether you give them a parachute or not when jumping from 60 cm. It is egregiously misleading, and it would be lethal, to deprive someone of a parachute when jumping from 10,000 feet based on a study that tested a parachute at 60 cm. Now let’s look at hydroxychloroquine. CoViD-19 is a disease with very different stages. And the vast majority of people, especially young people, are not going to die from CoViD-19. The suggestion from a significant amount of epidemiological data is that, if given early in the course of the disease, HCQ might prevent progression to critical illness or death in at-risk population groups. However, the randomized controlled trials (RCTs) performed to test the effect of hydroxychloroquine have been the equivalent of testing the effect of parachutes in the following circumstances: after a 60 cm jump; or pulling the rip-cord 2 feet above the ground after free-falling; or putting the parachute on someone after they hit the ground. Different RCTs on hydroxychloroquine have had variable characteristics including the following: control groups with average ages in the 30s and 40s; a cohort with 99% of patients with mild to moderate disease; a cohort with death rates of 0.4%; a cohort with zero incidence of death or mechanical ventilation; patients already on ventilators or even ECMO; patients having symptoms up to 14 days before being commenced on hydroxychloroquine; patients having symptoms an average of 16 days before commencement of hydroxychloroquine.

We develop an econometric model of consumer panic (or panic buying) during the COVID-19 pandemic. Using Google search data on relevant keywords, we construct a daily index of consumer panic for 54 countries from January 1st to April 30th 2020. We also assemble data on government policy announcements and daily COVID-19 cases for all countries. Our panic index reveals widespread consumer panic in most countries, primarily during March, but with significant variation in the timing and severity of panic between countries. Our model implies that both domestic and world virus transmission contribute significantly to consumer panic. But government policy is also important: Internal movement restrictions - whether announced by domestic or foreign governments - generate substantial short run panic that largely vanishes in a week to ten days. Internal movement restrictions announced early in the pandemic generated more panic than those announced later. Stimulus announcements had smaller impacts, and travel restrictions do not appear to generate consumer panic.

Many academics are advocating for the strict adherence to randomized controlled trials (RCTs) in order to find treatments for CoViD-19. The prevailing orthodoxy within the academic establishment is that we should not encourage the use of new treatments for CoViD-19 until those treatments have demonstrated statistically significant clinical benefits in an RCT. Until that point, only patients enrolled in clinical trials should have access to new treatments, no matter how promising the treatment and no matter whether the patient might otherwise be at high risk of death. However, the fundamentalist belief in the RCT fails to acknowledge the limitations of the RCT in a rapidly changing, highly complex, enormously combinatorial and evolving system in which knowledge is continually being generated by clinicians around the world; the situation during the CoViD-19 pandemic. For our patients’ sake, we need efficient and ethical means of both providing treatment and gaining knowledge during this pandemic. The RCT should not be eliminated, but it's primacy reconsidered. From an ethical perspective, discouraging or prohibiting access to off-label/compassionate-use therapies outside of the RCT creates the potential for large disequilibria of the needs of current and future patients, in addition to forsaken clinical information from wide-scale observation. Depending on the pre-test totality of all knowledge of a treatment, it is difficult to even know if the result of an RCT is a true or false result. And importantly, depending on the pre-test probability, the result of the RCT might only give marginal (or no) extra surety regarding the effect of the studied treatment. A crucial, existential concept related to knowledge acquisition is whether the cumulative observation of clinical effects without a control provides any useable information. The RCT attempts to isolate a variable using the scientific method. Yet there are systems constraints within acute clinical medicine regarding reproducibility, and this can significantly affect the fidelity of knowledge that the RCT is able to provide. In this regard, the RCT has proved to be disappointing in providing efficient clinical knowledge in acute care medicine over the decades. Even proponents of the RCT have conceded that there has been a paucity of large RCTs that have shown a clear beneficial treatment effect. A major funding body has de-prioritized the RCT. We are half a year into the lethal CoViD-19 pandemic. Yet, the RCT paradigm has seemingly contributed little and has significantly lagged behind rational treatment innovation guided by increasing understanding of the disease. One well publicized RCT demonstrated a clinical benefit for a drug that otherwise had a high pre-test probability of effect. However, many clinical units were already using this drug as part of their treatment protocols and were achieving highly competitive survival rates; saving lives through rational innovation while continuously updating knowledge of drug and disease-specific effects. Should patients be empowered with the complete accumulated knowledge of an intervention as part of informed consent, before enrolling in an RCT? To be sure, the RCT has a role. However, with it's history of being an inefficient clinical-knowledge-gaining paradigm, we should not necessarily wait for clinical trials before introducing reasoned treatment approaches for our most vulnerable CoViD-19 patients.

Front-line health care personnel, including anaesthetists, otolaryngologists, and other health professionals dealing with acute cases of coronavirus, face a high risk of infection and thus mortality. The scientific evidence establishes that to protect them, hospital protocols should require that wearing of the highest levels of personal protective equipment (PPE) be available for doctors and nurses performing aerosol-generating procedures, such as intubation, sputum induction, open suctioning of airways, bronchoscopy, etc. of COVID-19 patients. Although several international bodies have issued recommendations for a very high-level PPE to be used when these procedures are undertaken, the current PPE guidelines in Australia have tended to be more relaxed, and hospital authorities relying on them might not comply with legal obligations to their employee health care workers. Failure to provide high-level PPE in many hospitals is of concern for a large number of health care workers; this article examines the scientific literature on the topic and provides a legal perspective on hospital authorities' possible liability in negligence.

We study the impact of child work on cognitive development in four Low- and Middle-Income Countries. We advance the literature by using cognitive test scores collected regardless of school attendance. We also address a key gap in the literature by controlling for children’s complete time allocation budget. This allows us to estimate effects of different types of work, like chores and market/farm work, relative to specific alternative time-uses, like school or study or play/leisure. Our results show child work is more detrimental to child development to the extent that it crowds out school/study time rather than leisure. We also show the adverse effect of time spent on domestic chores is similar to time spent on market and farm work, provided they both crowd out school/study time. Thus, policies to enhance child development should target a shift from all forms of work toward educational activities.