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- W3124196436 abstract "Earnings nonresponse in household surveys is widespread, yet there is limited knowledge of how nonresponse biases earnings measures. We examine the consequences of nonresponse on earnings gaps and inequality using Current Population Survey individual records linked to administrative earnings data. The common assumption that earnings are missing at random is rejected. Nonresponse across the earnings distribution is U-shaped, highest in the left and right tails. Inequality measures differ between household and administrative data due in part to nonresponse. Nonresponse biases earnings differentials by race, gender, and education, particularly in the tails. Flexible copula-based models can account for nonrandom nonresponse." @default.
- W3124196436 created "2021-02-01" @default.
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- W3124196436 date "2018-01-01" @default.
- W3124196436 modified "2023-10-02" @default.
- W3124196436 title "Trouble in the Tails? What We Know About Earnings Nonresponse Thirty Years after Lillard, Smith, and Welch" @default.
- W3124196436 doi "https://doi.org/10.2139/ssrn.3234233" @default.
- W3124196436 hasPublicationYear "2018" @default.
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