Anthony A. Smith Jr.
Department of Economics
P.O. Box 208268
New Haven, CT 06520
NBER Program Affiliations:
NBER Affiliation: Research Associate
Institutional Affiliation: Yale University
Information about this author at RePEc
NBER Working Papers and Publications
|April 2020||Sources of U.S. Wealth Inequality: Past, Present, and Future|
with Joachim Hubmer, Per Krusell
in NBER Macroeconomics Annual 2020, volume 35, Martin Eichenbaum and Erik Hurst, editors
This paper employs a benchmark heterogeneous-agent macroeconomic model to examine a number of plausible drivers of the rise in wealth inequality in the U.S. over the last forty years. We find that the significant drop in tax progressivity starting in the late 1970s is the most important driver of the increase in wealth inequality since then. The sharp observed increases in earnings inequality and the falling labor share over the recent decades fall far short of accounting for the data. The model can also account for the dynamics of wealth inequality over the period---in particular the observed U-shape---and here the observed variations in asset returns are key. Returns on assets matter because portfolios of households differ systematically both across and within wealth groups, a feature in...
|December 2016||The Historical Evolution of the Wealth Distribution: A Quantitative-Theoretic Investigation|
with Joachim Hubmer, Per Krusell: w23011
This paper employs the benchmark heterogeneous-agent model used in macroeconomics to examine drivers of the rise in wealth inequality in the U.S. over the last thirty years. Several plausible candidates are formulated, calibrated to data, and examined through the lens of the model. There is one main finding: by far the most important driver is the significant drop in tax progressivity that started in the late 1970s, intensified during the Reagan years, and then subsequently flattened out, with only a minor bounce back. The sharp observed increases in earnings inequality, the falling labor share over the recent decades, and potential mechanisms underlying changes in the gap between the interest rate and the growth rate (Piketty's r-g story) all fall far short of accounting for the data.
|September 2010||Inferring Labor Income Risk from Economic Choices: An Indirect Inference Approach|
with Fatih Guvenen: w16327
This paper uses the information contained in the joint dynamics of households' labor earnings and consumption-choice decisions to quantify the nature and amount of income risk that households face. We accomplish this task by estimating a structural consumption-savings model using data from the Panel Study of Income Dynamics and the Consumer Expenditure Survey. Specifically, we estimate the persistence of labor income shocks, the extent of systematic differences in income growth rates, the fraction of these systematic differences that households know when they begin their working lives, and the amount of measurement error in the data. Although data on labor earnings alone can shed light on some of these dimensions, to assess what households know about their income processes requires using t...
|February 2009||Modeling Earnings Dynamics|
with Joseph G. Altonji, Ivan Vidangos: w14743
In this paper we use indirect inference to estimate a joint model of earnings, employment, job changes, wage rates, and work hours over a career. Our model incorporates duration dependence in several variables, multiple sources of unobserved heterogeneity, job-specific error components in both wages and hours, and measurement error. We use the model to address a number of important questions in labor economics, including the source of the experience profile of wages, the response of job changes to outside wage offers, and the effects of seniority on job changes. We provide estimates of the dynamic response of wage rates, hours, and earnings to various shocks and measure the relative contributions of the shocks to the variance of earnings in a given year and over a lifetime. We find that ...
Published: Joseph G. Altonji & Anthony A. Smith Jr. & Ivan Vidangos, 2013. "Modeling Earnings Dynamics," Econometrica, Econometric Society, vol. 81(4), pages 1395-1454, 07. citation courtesy of