Immigrants' Economic Performance and Selective Outmigration: Diverging Predictions from Survey and Administrative Data

Charles Bellemare (), Natalia Kyui () and Guy Lacroix
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Charles Bellemare: Université Laval
Natalia Kyui: Bank of Canada

No 14217, IZA Discussion Papers from Institute of Labor Economics (IZA)

Abstract: We show that survey and administrative data-based estimates of a panel data model of earnings, employment, and outmigration yield very different qualitative and quantitative predictions. Survey-based estimates substantially overpredict outmigration, in particular for lower performing immigrants. Consequently, employment and earnings of immigrants who remain in the country are overpredicted relative to model predictions from administrative data. Importantly, estimates from both data sources find opposite self-selection mechanisms into outmigration. Differences hold despite using the same cohort, survey period, and observable characteristics. Differences in predictions are driven by difficulties of properly separating non-random sample attrition from selective outmigration in survey data.

Keywords: sample attrition; outmigration; measurement errors; employment and earnings (search for similar items in EconPapers)
JEL-codes: C33 J15 J31 J61 (search for similar items in EconPapers)
Pages: 48 pages
Date: 2021-03
New Economics Papers: this item is included in nep-dem, nep-int, nep-lab, nep-mig and nep-ure
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Working Paper: Immigrants’ Economic Performance and Selective Outmigration: Diverging Predictions from Survey and Administrative Data (2021)
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