International Migration: A Panel Data Analysis of Economic and Non-Economic Determinants

By Anna Maria Mayda. Social Science Research Network, 2005

153 citations recorded by the source corpus.

In this paper I empirically investigate economic and non-economic determinants of migration inflows into fourteen OECD countries by country of origin, between 1980 and 1995. The annual panel data set used makes it possible to exploit both the time-series and cross-country variation in immigrant inflows. I focus on both supply and demand determinants of migration patterns and find results broadly consistent with the theoretical predictions of a standard international-migration model. Both first and second moments of the income distribution in the destination and origin countries shape international migration movements. In particular, I find evidence of robust and significant pull effects, that is the positive impact on immigrant inflows of improvements in the mean income opportunities in the host country. Inequality in the origin and destination economies affects the size of migration rates as predicted by Borjas (1987) selection model. Finally, among the non-economic determinants, I investigate the impact on emigration rates of geographical, cultural, and demographic factors as well as the role played by changes in destination countries' migration policies.

Subfields: Economics and Econometrics, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/73ec1fcf82c1688a340a654ac95a28e48b2219e1

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Economics and Econometrics

In Sociology and Political Science

Citations in the corpus

International Migration and the Developing World (2010, methodology): “, as measured by the GINI coefficient) relative to the receiving country (e.g., Clark et al., 2007; Mayda, 2005).”
Income Maximization and the Selection and Sorting of International Migrants (2011, background): “See Volger and Rotte (2000), Pedersen, Pytlikova, and Smith (2004), Hatton and Williamson (2005), Mayda (2005), and Clark, Hatton, and Williamson (2007).”
Selection and network effects—Migration flows into OECD countries 1990–2000 (2008, background): “Mayda (2004) analyses whether this type of reverse causality is important and rejects that it is of any significant size.”
The Impact of Weather Anomalies on Migration in sub-Saharan Africa (2012, methodology): “We should note that the reseach question becomes radically different as there are many reasons to believe that migration within Afr ca greatly differs from migration 8 movements outside Africa (see e.g. Mayda, 2010).”
People Flows in Globalization (2006, background): “…count countries with more immigrants more heavily, gave a lower average ratio of 0.44 (based on data in Coppel, Dumont, and Visco, 2001, table 5).5 Mayda (2005) reports that economic conditions in recipient countries were stronger determinants of immigration flows in the 1980s and 1990s than…”
The Economic Consequences of the International Migration of Labor (2008, unknown): “See Mayda (2005), Clark, Hatton, and Williamson (2007), Rosenzweig (2007), Brücker and Defoort (2006), Belot and Hatton (2008), and Grogger and Hanson (2008) for recent work on the topic.”
Determinants of International Migration Flows to and from Industrialized Countries: A Panel Data Approach beyond Gravity 1 (2010, background): “This discrepancy may be due to a paucity of data on international migration streams (Vogler and Rotte, 2000; Mayda, 2005).”