We examine the specification and power of tests based on performance-matched discretionary accruals, and make comparisons with tests using traditional discretionary accrual measures (e.g., Jones and modified-Jones models). Performance matching on return on assets controls for the effect of performance on measured discretionary accruals. The results suggest that performance-matched discretionary accrual measures enhance the reliability of inferences from earnings management research when the hypothesis being tested does not imply that earnings management will vary with performance, or where the control firms are not expected to have engaged in earnings management.

We catalog the complete contents of Institutional Investor All-American analyst reports and examine the market reaction to their release. Including the justifications supporting an analyst's opinion reduces, and in some models eliminates, the significance of earnings forecasts and recommendation revisions. Analysts both provide new information and interpret previously released information. The information in a report is most important for downgrades; target prices and the analyst's justifications are the only significant elements for reiterations. No correlation exists between valuation methodology and either analyst accuracy or the market's reaction to a report. Our adjusted R2s are much larger than those of studies using only summary measures.

On 1 October 2002, the State of Alaska increased taxes on malt beverages from $0.35 per gallon to $1.07 per gallon, increased taxes on wine from $0.85 per gallon to $2.50 per gallon, and increased taxes on distilled spirits from $5.60 per gallon to $12.80 per gallon. The net effect is that the tax on a standard serving rose from about 3 cents for beer, 2 cents for wine, and 4 cents for spirits to a uniform tax of 10 cents per standard serving of each type of alcohol beverage. This paper uses primary data on alcoholic beverage prices in Alaska to study a very basic question: What was the impact of the tax hikes on prices? An alcohol tax hike is often viewed as a public health policy tool to discourage excessive alcohol consumption and alcohol-related problems such as drunk driving. The impact of a tax hike on alcoholic beverage prices is a key link in the chain of the causality from the tax to public health. Economic theory and previous empirical studies, mainly of taxes on goods other than alcoholic beverages, do not provide very much guidance on what to expect following a tax hike. It is an empirical question. To answer the question, I conducted telephone surveys, just before and a year after the tax hike, of on-premise and off-premise alcohol retail establishments across Alaska.

This paper examines hospital responses to changes in diagnosis-specific prices by exploiting a 1988 policy reform that generated large price changes for 43 percent of Medicare admissions. I find hospitals responded primarily by "upcoding" patients to diagnosis codes with the largest price increases. This response was particularly strong among for-profit hospitals. I find little evidence hospitals increased the volume of admissions differentially for diagnoses subject to the largest price increases, despite the financial incentive to do so. Neither did they increase intensity or quality of care in these diagnoses, suggesting hospitals do not compete for patients at the diagnosis level.

We provide cross-country and time series evidence on the extent of exchange rate pass-through into the import prices of 23 OECD countries. We find compelling evidence of partial pass-through in the short run, especially within manufacturing industries. Over the long run, producer-currency pricing is more prevalent for many types of imported goods. Countries with higher rates of exchange rate volatility have higher pass-through elasticities, although macroeconomic variables have played a minor role in the evolution of pass-through elasticities over time. Far more important for pass-through changes in these countries have been the dramatic shifts in the composition of country import bundles.

Structural vector autoregressions (VARs) are widely used to trace out the effect of monetary policy innovations on the economy.However, the sparse information sets typically used in these empirical models lead to at least two potential problems with the results.First, to the extent that central banks and the private sector have information not reflected in the VAR, the measurement of policy innovations is likely to be contaminated.A second problem is that impulse responses can be observed only for the included variables, which generally constitute only a small subset of the variables that the researcher and policymaker care about.In this paper we investigate one potential solution to this limited information problem, which combines the standard structural VAR analysis with recent developments in factor analysis for large data sets.We find that the information that our factor-augmented VAR (FAVAR) methodology exploits is indeed important to properly identify the monetary transmission mechanism.Overall, our results provide a comprehensive and coherent picture of the effect of monetary policy on the economy.

Structural vector autoregressions (VARs) are widely used to trace out the effect of monetary policy innovations on the economy. However, the sparse information sets typically used in these empirical models lead to at least three potential problems with the results. First, to the extent that central banks and the private sector have information not reflected in the VAR, the measurement of policy innovations is likely to be contaminated. Second, the choice of a specific data series to represent a general economic concept such as “real activity” is often arbitrary to some degree. Third, impulse responses can be observed only for the included variables, which generally constitute only a small subset of the variables that the researcher and policy-maker care about. In this paper we investigate one potential solution to this limited information problem, which combines the standard structural VAR analysis with recent developments in factor analysis for large data sets. We find that the information that our factor-augmented VAR (FAVAR) methodology exploits is indeed important to properly identify the monetary transmission mechanism. Overall, our results provide a comprehensive and coherent picture of the effect of monetary policy on the economy.

The labor supply of taxi drivers is consistent with the existence of intertemporal substitution. My analysis of the stopping behavior of New York City cabdrivers shows that daily income effects are small and that the decision to stop work at a particular point on a given day is primarily related to cumulative daily hours to that point. This is in contrast to the analysis of Camerer et al., who find that the daily wage elasticity of labor supply of New York City cabdrivers is substantially negative, implying large daily income effects. This difference in find-ings is due to important differences in empirical methods and to problems with the conception and measurement of the daily wage rate used by Camerer et al. I.

Abstract The purpose of this study is to investigate whether and how shareholder‐level taxes affect earnings response coefficients (ERCs). Our tests indicate that when the tax rate on dividends increases, ERCs decrease for firms with high levels of dividend yield and whose marginal investor is likely to be an individual. For firms with high levels of share repurchase yield and whose marginal investor is likely to be an individual, an increase in dividend tax rate has no discernible effect on ERCs. These results are consistent with the notion that the tax penalty on dividends, relative to capital gains, reduces the earnings‐return relation.