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In the vast arena of human advancement, artificial intelligence serves as a transformational force offering boundless possibilities. This study determined the relationship between technology readiness and technology acceptance of artificial intelligence by accountancy students. The study used a descriptive-correlational research design and a complete enumeration technique. The data were gathered from one hundred twenty-five (125) students from the Bachelor of Science in Accountancy program. The technology readiness level of accountancy students in terms of optimism and insecurity is high, while innovativeness and discomfort are moderately high. Moreover, the level of technology acceptance of accountancy students in terms of usefulness and ease of use is also high. The study reveals a significant relationship between technology readiness and technology acceptance of artificial intelligence among accountancy students. With a comprehensive examination of accounting students' readiness and acceptance levels towards artificial intelligence, the study offers essential insights into accounting students' readiness for the seamless integration of artificial intelligence into their academic and professional endeavors. [ABSTRACT FROM AUTHOR]

We provide the first estimates of the effects of minimum wages on employment flows in the U.S. labor market, identifying the impact by using policy discontinuities at state borders. We find that minimum wages have  sizeable negative effect on employment flows but not stocks. Separations and accessions fall among affected workers, especially those with low tenure. We do not find changes in the duration of non-employment for separations or hires. This evidence is consistent with search models with endogenous separations, but explanations focused only on quits or only on layoffs are unlikely to explain the full complement of findings.

We provide the first estimates of the effects of minimum wages on employment flows in the U.S. labor market, identifying the impact using policy discontinuities at state borders. We find that minimum wages have a sizable negative effect on employment flows but not stocks: separations and accessions fall among affected workers. We interpret our findings using a job-ladder model, in which minimum wage increases can reduce job-to-job transitions. We find that a standard calibration of the model generates predicted relative magnitudes of the employment stock and flow elasticities that are very close to our reduced-form estimates.

We measure labor market frictions using a strategy that bridges design-based and structural approaches: estimating an equilibrium search model using reduced-form minimum wage elasticities identified from border discontinuities and fitted with Bayesian and LIML methods. We begin by providing the first test of U.S. minimum wage effects on labor market flows and find negative effects on employment flows, but not levels. Separations and accessions fall among restaurants and teens, especially those with low tenure. Our estimated parameters of a search model with wage posting and heterogeneous workers and firms imply that frictions help explain minimum wage effects.

We use policy discontinuities at state borders to identify the effects of minimum wages on earnings and employment in restaurants and other low-wage sectors. Our approach generalizes the case study method by considering all local differences in minimum wage policies between 1990 and 2006. We compare all contiguous county pairs in the U.S. that straddle a state border and find no adverse employment effects. We show that traditional approaches that do not account for local economic conditions tend to produce spurious negative effects due to spatial heterogeneities in employment trends that are unrelated to minimum wage policies. Our findings are robust to allowing for long term effects of minimum wage changes.

This report assesses the question of whether or not business assistance living wage laws reduce jobs and economic development activity in the cities that choose to pass them.

In this brief, we report the economic impact by region using a similar methodology to IMPLAN 3.0, an industry- standard input-output modeling software package.

In this brief, we estimate the economic impact of Governor Schwarzenegger’s proposed 2010–2011 budget. We further compare the economic impacts of these cuts with an alternative approach that mixes spending cuts with targeted revenue increases sufficient to avoid cuts in programs that bring in a federal match.

The State of California is in a severe fiscal crisis. The State faces difficult decisions in closing an estimated $20 billion budget gap for Fiscal Years 2009-2010 and 2010-2011. How the state chooses to address this gap will have important implications for employment and the economy.

Our research finds that Wal-Mart store openings lead to the replacement of better paying jobs with jobs that pay less. Wal-Mart’s entry also drives wages down for workers in competing industry segments such as grocery stores.

This paper estimates the effect of Wal-Mart expansion on wages, benefits, and skill-composition of retail workers during the 1990s. We exploit the spatial pattern of Wal-Mart diffusion, radiating outward from the original store in Benton county, Arkansas, to control for potential endogeneity in store openings using both instrumental variable and control function approaches. Estimates from state and county level data suggest that store openings reduced both the average earnings and health benefits of retail workers. At the county level, a new Wal-Mart is found to reduce retail earnings, on average, by .5 to .9 percent. Moreover, we find that changes in skill-composition explain only a small part of compensation reduction, indicating that the decline in retail wages reflect a reduction in labor market rents.

This paper studies network market problems in which firm(s)/platform(s) sets quality in addition to price. A well-established result in the network economics literature is that a profit-maximizing firm concerns only how quality is valued by the marginal consumer but not by inframarginal consumers, aka the Spence effect/distortion. For markets with strong network effects under which multiple market-tipping equilibria exist, I show that the validity of the previous result depends on the choice of the equilibrium selection criterion. Precisely, I show that all criteria commonly used in this literature give rise to the Spence effect, whereas the well-justified risk dominance criterion in game theory and its generalizations do not. Novel quality strategies are derived based on the latter criteria. This paper was accepted by Joshua Gans, business strategy. [ABSTRACT FROM AUTHOR]