Does immigration boost per capita income?

Felbermayr, Gabriel; Hiller, Sanne; Sala, Davide

doi:10.1016/j.econlet.2010.01.017

Cited by 68 publications

(52 citation statements)

References 13 publications

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“…Such positive effects have been found on a panel of states in the United States by Peri (2012). Felbermayr, Hiller, and Sala (2010) also found a positive effect on output per worker using a cross section of developed countries. Our panel data results show that this positive impact is robust to country-specific heterogeneity.…”

Section: Introductionmentioning

confidence: 69%

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The Heterogeneity of Immigrants, Host Countries' Income and Productivity: A Channel Accounting Approach

Aleksynska

Tritah

2014

Economic Inquiry

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Section: Introductionmentioning

confidence: 69%

“…It has recently been applied to study the relation between immigration and income by Felbermayr, Hiller, and Sala (2010) in a cross section of countries. Following the same strategy, Ortega and Peri (2012) investigated the same relation with a panel data from 1980 to 2000.…”

Section: B a Cohort-level Gravity-based Instrumentmentioning

confidence: 99%

The Heterogeneity of Immigrants, Host Countries' Income and Productivity: A Channel Accounting Approach

Aleksynska

Tritah

2014

Economic Inquiry

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“…31 See also Beine, Docquier andOzden (2009) andFelbermayr, Hiller andSala (2008). 32 Results of the 2SLS procedure using the estimated bilateral immigrants flows using tobit estimation are equal to those by using OLS.…”

Section: Resultsmentioning

confidence: 99%

“…This kind of empirical works are not common in literature, exceptions are Dolado, Goria andIchino (1994), Felbermayr, Hiller andSala (2010), Ortega andPeri (2009) andBellini et.al. (2009), because of a series of econometric problems such as endogeneity from migrants localization, internal migration 8 and data availability.…”

Section: Empirical Strategymentioning

confidence: 99%

“…Ortega (2008) by estimating the effect of immigration on per capita GDP and labor productivity (per hour worked GDP) finds that a 10% increase in immigration induced population growth leads to a 3.8% increase in GDP but to a 6.2% and 6.7% reductions in GDP per capita and per hour worked GDP. Felbermayr, Hiller and Sala (2010) investigate the effect of immigrants (by using the stock of immigrants in destination country) on per capita GDP in the host countries. Using a IV cross-section approach and controlling for institutional quality, trade and financial openness they find positive correlation between immigration and per capita GDP: a 1% increase in the migrants stock leads to a 0.22% increase in per capita GDP.…”

Section: Review Of the Literaurementioning

confidence: 99%

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Skilled migration and economic performances: Evidence from OECD countries

Orefice

2010

Swiss J Economics Statistics

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Summary This paper investigates the effects of immigration flows and their human capital content on per capita GDP variation in 24 OECD host countries. Theoretical models concludes that the effect of immigrants in host country’s income depends on the human capital content of migrants (Benhabib, 1996); empirically the question is still open and this paper contributes to make light on this. So we propose an empirical estimation on the effects of immigrants and their human capital content on per capita GDP variation. Using a IV model to solve the endogeneity problem we found that high human capital content by immigrants has a positive effect on per capita GDP variation, but it is not enough to fully compensate the overall negative effects of migration on changes in per capita output.

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A simple method for correcting for the Will Rogers phenomenon with biometrical applications

Stander

2020

Biometrical J

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In its basic form, the Will Rogers phenomenon takes place when an increase in the average value of each of two sets is achieved by moving an element from one set to another. This leads to the conclusion that there has been an improvement, when in fact essentially nothing has changed. Extended versions of this phenomenon can occur in epidemiological studies, rendering their results unreliable. After describing epidemiological and clinical studies that have been affected by the Will Rogers phenomenon, this paper presents a simple method to correct for it. The method involves introducing a transition matrix between the two sets and taking probability weighted expectations. Two real‐world biometrical examples, based on migration economics and breast cancer epidemiology, are given and improvements against a naïve analysis are demonstrated. In the cancer epidemiology example, we take account of estimation uncertainty. We also discuss briefly some limitations associated with our method.

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Does immigration boost per capita income?

Abstract: Using a cross-section of countries, we adapt Frankel and Romer's (1999) IV strategy to international labor mobility. Controlling for institutional quality, trade, and financial openness, we establish a robust and non-negative causal effect of immigration on real percapita income.

Cited by 68 publications

References 13 publications

The Heterogeneity of Immigrants, Host Countries' Income and Productivity: A Channel Accounting Approach

The Heterogeneity of Immigrants, Host Countries' Income and Productivity: A Channel Accounting Approach

Skilled migration and economic performances: Evidence from OECD countries

A simple method for correcting for the Will Rogers phenomenon with biometrical applications

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