Do Household Wealth Shocks Affect Productivity? Evidence from Innovative Workers During the Great Recession

We investigate how the deterioration of household balance sheets affects worker productivity, and in turn economic downturns. Specifically, we compare the output of innovative workers who experienced differential declines in housing wealth during the financial crisis but were employed at the same firm and lived in the same metropolitan area. We find that, following a negative wealth shock, innovative workers become less productive and generate lower economic value for their firms. The reduction in innovative output is not driven by workers switching to less innovative firms or positions. These effects are more pronounced among workers at greater risk of financial distress.     

Audit Firm Tenure,Non‐Audit Services,and Internal Assessments of Audit Quality

We use data from internal assessments of audit quality in a Big 4 firm to investigate the impact of audit firm tenure and auditor‐provided non‐audit services (NAS) on audit quality. We find that first‐year audits receive lower assessments of audit quality and that quality improves shortly thereafter and then declines as tenure becomes very long. Partitioning our sample between SEC registrants and private clients, we find that the decline in audit quality in the long tenure range is attributable to audits of private clients. For audits of SEC registrants, the probability of a high quality audit reaches its maximum with very long tenure. We also find that audit fees are discounted for first‐year audits but auditor effort is higher than in subsequent years. We find no association, on average, between total NAS fees and audit quality in the full sample but observe that total NAS fees are positively associated with quality for SEC registrants and negatively associated with quality for privately held clients. Our findings are important for regulatory policies related to audit firm tenure and auditor‐provided NAS.     

Endogenous Group Formation

While the rules governing the formation of groups engaging in collective action may have significant impact on group size and behavior of members, most experiments on public goods have been conducted with the subjects in exogenously fixed groups or of fixed sizes. We study endogenous formation of groups in a public‐goods provision game by allowing subjects to change groups under three sets of rules: free entry/exit, restricted entry with free exit, and free entry with restricted exit. We find that the rules governing entry and exit do have a significant impact on individual behavior and group‐level outcomes.     

Determinants of Decertification Activity: An Interstate Analysis

In this paper, a model of union decertification activity in the U.S. is estimated for 1960, 1970, 1975, and 1980. Cross-state data permit the use of regressors capturing the effects of demographic, political, and organizational factors not included in previous research on decertification. The estimated results confirm these effects. Tests for stability over the pooled sample periods 1960–1970 and 1975–1980 show some variability in the strength of the variables' effects.     

Benefits from U.S. Monetary Policy Experimentation in the Days of Samuelson and Solow and Lucas

A policy maker knows two models. One implies an exploitable inflation-unemployment trade-off, the other does not. The policy maker's prior probability over the two models is part of his state vector. Bayes' law converts the prior probability into a posterior probability and gives the policy maker an incentive to experiment. For models calibrated to U.S. data through the early 1960s, we compare the outcomes from two Bellman equations. The first tells the policy maker to "experiment and learn." The second tells him to "learn but don't experiment." In this way, we isolate a component of government policy that is due to experimentation and estimate the benefits from intentional experimentation. We interpret the Bellman equation that learns but does not intentionally experiment as an "anticipated utility" model and study how well its outcomes approximate those from the "experiment and learn" Bellman equation. The approximation is good. For our calibrations, the benefits from purposeful experimentation are small because random shocks are big enough to provide ample unintentional experimentation.     

OBESITY AND NUTRIENT CONSUMPTION: A RATIONAL ADDICTION?

Recent research shows that the dramatic rise in obesity in the United States is due more to the overconsumption of unhealthy foods than underactivity. This study tests for an addiction to food nutrients as a potential explanation for the apparent excessive consumption. A random coefficients (mixed) logit model is used to test a multivariate rational addiction model. The results reveal a particularly strong addiction to carbohydrates. The implication of this finding is that price-based policies, sin taxes, or produce subsidies that change the expected future costs and benefits of consuming carbohydrate-intensive foods may be effective in controlling excessive nutrient intake. ( JEL D120, I120, C230)     

Inflation Persistence, Monetary Policy, and the Great Moderation

There is growing evidence that the empirical Phillips curve within the United States has changed significantly since the early 1980s. In particular, inflation persistence has declined sharply. This paper demonstrates that this decline is consistent with a standard dynamic New Keynesian (DNK) model in which: (i) the variability of technology shocks has declined and (ii) the central bank more aggressively responds to inflation.     

CONSUMER SWITCHING COSTS AND FIRM PRICING: EVIDENCE FROM BANK PRICING OF DEPOSIT ACCOUNTS*

We employ extensive information on bank deposit rates and area migration patterns to examine pricing relationships implied by switching costs. We argue that, because of the trade‐off between attracting new customers and exploiting old ones, banks offer higher deposit rates in areas experiencing more in‐migration. Further, because greater out‐migration implies that a locked‐in customer will not be with the bank for as many periods, banks will offer lower deposit rates in areas exhibiting greater out‐migration. Also, because this effect of out‐migration logically depends on the extent of in‐migration, an interaction effect exists. We find evidence strongly supporting these relationships.     

Robustness and U.S. Monetary Policy Experimentation

We study how a concern for robustness modifies a policymaker's incentive to experiment. A policymaker has a prior over two submodels of inflation‐unemployment dynamics. One submodel implies an exploitable trade‐off, the other does not. Bayes' law gives the policymaker an incentive to experiment. The policymaker fears that both submodels and his prior probability distribution over them are misspecified. We compute decision rules that are robust to misspecifications of each submodel and of the prior distribution over submodels. We compare robust rules to ones that Cogley, Colacito, and Sargent (2007) computed assuming that the models and the prior distribution are correctly specified. We explain how the policymaker's desires to protect against misspecifications of the submodels, on the one hand, and misspecifications of the prior over them, on the other, have different effects on the decision rule.     

Inference with Dependent Data in Accounting and Finance Applications

We review developments in conducting inference for model parameters in the presence of intertemporal and cross‐sectional dependence with an emphasis on panel data applications. We review the use of heteroskedasticity and autocorrelation consistent (HAC) standard error estimators, which include the standard clustered and multiway clustered estimators, and discuss alternative sample‐splitting inference procedures, such as the Fama–Macbeth procedure, within this context. We outline pros and cons of the different procedures. We then illustrate the properties of the discussed procedures within a simulation experiment designed to mimic the type of firm‐level panel data that might be encountered in accounting and finance applications. Our conclusion, based on theoretical properties and simulation performance, is that sample‐splitting procedures with suitably chosen splits are the most likely to deliver robust inferential statements with approximately correct coverage properties in the types of large, heterogeneous panels many researchers are likely to face.