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Keywords:panel data 

Working Paper
Estimating Taxable Income Responses with Elasticity Heterogeneity

We extend a standard taxable income model with its typical functional-form assumptions to account for nonlinear budget sets. We propose a new method to estimate taxable income elasticity that is more policy relevant than the typically estimated elasticity based on linearized budget sets. Using U.S. data from the NBER tax panel for 1979-1990 and differencing methods, we estimate an elasticity of 0.75 for taxable income and 0.20 for broad income. These estimates are higher than those obtained by specifications based on linearization. Our approach offers a new way to address the problem of ...
Working Papers , Paper 1611

Journal Article
The Phillips Curve during the Pandemic: Bringing Regional Data to Bear

The Phillips curve appears to have held up well at the regional level during the COVID-19 era. Areas of the country that took relatively large hits to their unemployment rate and employment-population ratio during the pandemic have had lower inflation, on average, than areas that took relatively small hits. And, just as prior to the pandemic, the inverse relationship between inflation and unemployment continues to be statistically stronger for the prices of services than of goods.The Phillips curve appears to have held up well at the regional level during the COVID-19 era. Areas of the ...
Policy Hub , Volume 2021 , Issue 11 , Pages 20

Discussion Paper
The Phillips Curve during the Pandemic: Bringing Regional Data to Bear

The Phillips curve appears to have held up well at the regional level during the COVID-19 era. Areas of the country that took relatively large hits to their unemployment rate and employment-population ratio during the pandemic have had lower inflation, on average, than areas that took relatively small hits. And, just as prior to the pandemic, the inverse relationship between inflation and unemployment continues to be statistically stronger for the prices of services than of goods. The Phillips curve appears to have held up well at the regional level during the COVID-19 era. Areas of the ...
Policy Hub

Working Paper
A Composite Likelihood Approach for Dynamic Structural Models

We describe how to use the composite likelihood to ameliorate estimation, computational, and inferential problems in dynamic stochastic general equilibrium models. We present a number of situations where the methodology has the potential to resolve well-known problems. In each case we consider, we provide an example to illustrate how the approach works and its properties in practice.
Working Paper , Paper 18-12

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