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Keywords:Measurement error 

Working Paper
Likelihood Evaluation of Models with Occasionally Binding Constraints

Applied researchers interested in estimating key parameters of DSGE models face an array of choices regarding numerical solution and estimation methods. We focus on the likelihood evaluation of models with occasionally binding constraints. We document how solution approximation errors and likelihood misspecification, related to the treatment of measurement errors, can interact and compound each other.
Finance and Economics Discussion Series , Paper 2019-028

Working Paper
The Limited Macroeconomic Effects of Unemployment Benefit Extensions

By how much does an extension of unemployment benefits affect macroeconomic outcomes such as unemployment? Answering this question is challenging because U.S. law extends benefits for states experiencing high unemployment. We use data revisions to decompose the variation in the duration of benefits into the part coming from actual differences in economic conditions and the part coming from measurement error in the real-time data used to determine benefit extensions. Using only the variation coming from measurement error, we find that benefit extensions have a limited influence on state-level ...
Working Papers , Paper 733

Working Paper
Test Questions, Economic Outcomes, and Inequality

Standard achievement scales aggregate test questions without considering their relationship to economic outcomes. This paper uses question-level data to improve the measurement of achievement in two ways. First, the paper constructs alternative achievement scales by relating individual questions directly to school completion and labor market outcomes. Second, the paper leverages the question data to construct multiple such scales in order to correct for biases stemming from measurement error. These new achievement scales rank students differently than standard scales and typically yield ...
Finance and Economics Discussion Series , Paper 2019-013

Working Paper
Missing Variation in the Great Moderation: Lack of Signal Error and OLS Regression

This paper studies measurement errors that subtract signal from true variables of interest, labeled lack of signal errors (LoSE). The effect on OLS regression of LoSE is opposite the conventional wisdom about classical measurement errors, with LoSE in the dependent variable, not the explanatory variables, causing attenuation bias under some conditions. The paper provides evidence of LoSE in US GDP growth during the period known as the Great Moderation (roughly the mid-1980s to the mid-2000s), illustrating attenuation bias in regressions of GDP growth on asset prices. These biases may have ...
Finance and Economics Discussion Series , Paper 2014-27

Working Paper
Wealth, Pensions, Debt, and Savings: Considerations for a Panel Survey

Several U.S. panel surveys measure household wealth. At the same time, many important questions about household wealth accumulation remain somewhat unresolved. We consider whether measurement error on the existing suite of longitudinal surveys hinders their usefulness for addressing these questions. We review the features of wealth data that make it difficult to collect and assess which assets and debts households are more likely to report accurately. We suggest several considerations in choosing between improving existing surveys and starting a new one.
Finance and Economics Discussion Series , Paper 2015-19


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