Despite the importance of expectations in models of decision behavior under uncertainty, few empirical economists have made use of subjective expectations data in estimating such models. Assuming that expectations about future behavior accurately portray optimal future behavior conditional on current information, it is shown that such data can provide similar information about the decision process as can data on current or retrospective behavior. The value of self-reported choice expectations is illustrated by using information on respondents’ expected future occupation in the estimation of a structural dynamic model of teacher career decisions under uncertainty.
This paper studies the interdependence between and the determinants of life-cycle marital status and labour force participation decisions of women. A dynamic utility maximization model is presented and estimated using longitudinal data on women from the Panel Study of Income Dynamics. The MLE method employed involves solving a dynamic programming problem. Further, a minimum distance estimator is proposed which allows for the incorporation of wage data in a computationally simple way. The estimates are used to predict changes in the life-cycle patterns of employment, marriage and divorce due to differences in education, race, the female's earnings and her (potential) husband's earnings. The estimation results indicate that the utility gains to marriage are decreasing in the female's wage rate and increasing in her (potential) husband's earnings, while the opposite is found for gains to working. Ignoring the endogeneity of marital status decisions is shown to lead to an underestimation of own and husband's wage effects on female labour supply.
We evaluate the effect of land use regulation on the value of land and on welfare. Our estimates are based on a decomposition of the effects of regulation into three components: an own-lot effect, which reflects the cost of regulatory constraints to the owner of a parcel; an external effect, which reflects the value of regulatory constraints on one's neighbors; a supply effect, which reflects the effect of regulated scarcity of developable land. Using this decomposition, we arrive at a novel strategy for estimating a plausibly causal effect of land use regulation on land value and welfare. This strategy exploits cross-border changes in development, prices, and regulation in regions near municipal borders. Our estimates suggest large negative effects of regulation on the value of land and welfare in these regions.
In addition to realized earnings and employment shocks, forward-looking individuals are presumed to condition their consumption and labor supply decisions on their subjective beliefs about future labor market risks. This paper uses rich panel data to document considerable individual heterogeneity in earnings growth expectations and in the perceived likelihood of voluntary and involuntary job exits. We examine how expectations evolve over the working life and business cycle and how they covary with macroeconomic expectations and personal experiences. While largely consistent with patterns in realized outcomes, our findings highlight the unanticipated nature of the pandemic recession and the ensuing resignation wave.
Young Americans are heavily reliant on debt and have clear financial literacy shortcomings. In this paper, we study the effects of exposure to financial training on debt outcomes in early adulthood among a large and representative sample of young Americans. Variation in exposure to financial training comes from statewide changes in high school graduation requirements. Using a flexible event study approach, we find that both mathematics and financial education, by and large, decrease reliance on nonstudent debt and improve repayment behavior. Economics training, on the other hand, increases both the likelihood of holding outstanding debt and the prevalence of repayment difficulties.
The Review of Economics and Statistics199981(3), 543-550
In this paper, we analyze the decision by teachers to leave the profession in a dependent competing risks framework. The econometric model allows for a flexible, semiparametric specification of the duration-dependence structure and of the unobserved heterogeneity distribution in each exit-specific hazard function. Our results obtained for a large sample of UK teachers affirm the importance of teacher salaries and opportunity wages in the turnover decision of teachers and illustrate the insight gained from differentiating between multiple destinations or exit types.
What Students Remember and Say about College Economics Years Later by Sam Allgood, William Bosshardt, Wilbert van der Klaauw and Michael Watts. Published in volume 94, issue 2, pages 259-265 of American Economic Review, May 2004
Review of Financial Studies201629(9), 2490-2522open access
More than three-quarters of U.S. households bear consumer debt, yet we have little understanding of the relationship between financial education and the debt behavior of U.S. consumers. In this paper, we study the effects of exposure to financial training on debt outcomes in early adulthood. Identification comes from variation in financial literacy, economics, and mathematics course offerings and graduation requirements mandated over the 1990s and 2000s by state-level high-school curricula. The FRBNY Consumer Credit Panel provides debt outcomes based on quarterly Equifax credit reports from 1999 to 2012. Our analysis, based on a flexible event-study approach, reveals significant effects of financial education on debt-related outcomes of youth. On the extensive margin, financial literacy education has a sizable impact on the propensity of youth having a credit report. Conditional on having a credit report, on the intensive margin, math and financial literacy education exposure reduces the incidence of adverse outcomes - such as accounts in collections and delinquent accounts - and reduces both the likelihood of youth carrying debt and their average debt balances. The net effect of both math and financial literacy education is an increase in youths' average creditworthiness, as measured by the Equifax risk score. On the other hand, economic education increases the likelihood of individuals carrying balances, leads to significant increases in debt balances - in particular, debt used to support consumption - and, at the same time, increases the likelihood of adverse credit outcomes, leading to a decline in youths' average risk scores. The effects of these financial education policies accumulate over the course of early adulthood. Our results suggest that financial education programs, increasingly promoted by policymakers, are likely to have significant impacts on the financial decision-making of youth, but the effects depend on the content of these programs.
The Review of Economics and Statistics201698(3), 503-523open access
Using a unique, randomized information experiment embedded in a survey, this paper investigates how consumers’ inflation expectations respond to new information. We find that respondents, on average, update their expectations in response to (certain types of) information, and do so sensibly, in a manner consistent with Bayesian updating. As a result of information provision, the distribution of inflation expectations converges toward its center and cross-sectional disagreement declines. We document heterogeneous information processing by gender and present suggestive evidence of respondents forecasting under asymmetric loss. Our results provide support for expectation-formation models in which agents form expectations rationally but face information constraints.
Since the 2000s, economists across fields have increasingly used consumer credit reporting data for research. We introduce readers to the economics and institutional details of these data. Using examples from the literature, we provide practical guidance on how to use these data to construct economic measures of borrowing, consumption, credit access, financial distress, and geographic mobility. We explain what credit scores measure and why. We highlight how researchers can access credit reporting data via existing datasets or by creating new datasets, including by linking credit reporting data with surveys and external datasets.