The Causes and Effects of International Migrations: Evidence from OECD Countries, 1980-2005

Working Paper: NBER ID: w14833

Authors: Francesc Ortega; Giovanni Peri

Abstract: This paper contains three important contributions to the literature on international migrations. First, it compiles a new dataset on migration flows (and stocks) and on immigration laws for 14 OECD destination countries and 74 sending countries for each year over the period 1980-2005. Second, it extends the empirical model of migration choice across multiple destinations, developed by Grogger and Hanson (2008), by allowing for unobserved individual heterogeneity between migrants and non-migrants. We use the model to derive a pseudo-gravity empirical specification of the economic and legal determinants of international migration. Our estimates clearly show that bilateral migration flows are increasing in the income per capita gap between origin and destination. We also find that bilateral flows decrease when destination countries adopt stricter immigration laws. Third, we estimate the impact of immigration flows on employment, investment and productivity in the receiving OECD countries using as instruments the "push" factors in the gravity equation. Specifically, we use the characteristics of the sending countries that affect migration and their changes over time, interacted with bilateral migration costs. We find that immigration increases employment, with no evidence of crowding-out of natives, and that investment responds rapidly and vigorously. The inflow of immigrants does not seem to reduce capital intensity nor total factor productivity in the short-run or in the long run. These results imply that immigration increases the total GDP of the receiving country in the short-run one-for-one, without affecting average wages and average income per person.

Keywords: International Migration; OECD Countries; Economic Determinants; Immigration Laws; Employment; Investment; Productivity

JEL Codes: E25; F22; J61


Causal Claims Network Graph

Edges that are evidenced by causal inference methods are in orange, and the rest are in light blue.


Causal Claims

CauseEffect
Income per capita gap between origin and destination countries (F29)Bilateral migration flows (F22)
Stricter immigration laws (K37)Migration flows (F22)
Immigration flows (F22)Employment in receiving countries (J68)
Immigration flows (F22)Total GDP (E20)
Immigration flows (F22)Total factor productivity (O49)
Immigration flows (F22)Capital intensity (E22)
Immigration flows (F22)Average wages (J31)

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