Full Citation

Title: Can We Obtain Better Distributional Measures Correcting for Differential Unit Non-Response Bias in Household Surveys? An Illustration Using Data from the US Current Population Survey

Citation Type: Working Paper

Publication Year: 2019

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Abstract: Recent literature on economic inequality has focused a great deal of attention on the estimation of income concentration measures (e.g., the share of total income held by a small, rich segment of the population). One of the key findings of this new stream of literature is that estimates of income concentrations as derived from tax-administrative sources are generally higher and show a stronger positive trend than what is estimated via household survey data, especially for very high-end income groups. Differences can be quite large at the very top, but relatively small as we move further down the income pyramid. Figure 1 depicts the existing gap between top income shares in the US as estimated from IRS tax data versus data from the household survey from the Current Population Survey (CPS).

Url: https://www.lisdatacenter.org/newsletter/nl-2019-12-im-2/

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Authors: Morelli, Salvatore; Munoz, Ercio

Series Title: Cross National Data Center

Publication Number: 2019-12

Institution: Cross National Data Center

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Publisher Location: Luxembourg

Data Collections: IPUMS CPS

Topics: Labor Force and Occupational Structure, Methodology and Data Collection, Other

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