Data and Code for The Labor Market Impact of Immigration: Job Creation vs. Job Competition

Principal Investigator(s): View help for Principal Investigator(s) Christoph Albert, CEMFI

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Project Citation:

Albert, Christoph. Data and Code for The Labor Market Impact of Immigration: Job Creation vs. Job Competition. Nashville, TN: American Economic Association [publisher], 2020. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2020-12-18. https://doi.org/10.3886/E112301V1

Project Description

Summary: This paper studies the labor market effects of both documented and undocumented immigration in a search model featuring non-random hiring. As immigrants accept lower wages, they are preferably chosen by firms and therefore have higher job finding rates than natives, consistent with evidence found in US data. Immigration leads to the creation of additional jobs but also raises competition for natives. Which effect dominates depends on the fall in wage costs, which is larger for undocumented than for legal immigration. The model predicts a dominating job creation effect for the former, reducing natives' unemployment rate, but not for the latter.

Scope of Project

Subject Terms: wage gap; migrant workers; hiring

JEL Classification:
      J31 Wage Level and Structure; Wage Differentials
      J61 Geographic Labor Mobility; Immigrant Workers
      J63 Labor Turnover; Vacancies; Layoffs
      J64 Unemployment: Models, Duration, Incidence, and Job Search

Geographic Coverage: United States

Time Period(s): 1994 – 2015; 1980 – 2010

Universe: Prime-age (25-65) high-school dropouts that are non-institutionalized and live in households in urban areas (MSAs) in the United States.

Data Type(s): census/enumeration data; program source code

Methodology

Data Source: CPS basic files from NBER website, CPS March, Census and ATUS from IPUMS

Weights: Personal probability weights provided by IPUMS are used.

Unit(s) of Observation: Individuals

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Published Versions

V1 [2020-12-18]

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