Determinants and dynamics of migration to OECD countries in a three-dimensional panel framework

Ruyssen, Ilse; Everaert, Gerdie; Rayp, Glenn

doi:10.1007/s00181-012-0674-1

Cited by 36 publications

(22 citation statements)

References 37 publications

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“…Within the first category, studies on migration from many origins to many destinations include Mayda (2010), for 79 countries of origin to 14 OECD countries over the period 1980-1995, and the more recent Ruyssen et al (2014), who investigate the determinants of bilateral migrant flows to 19 OECD countries between 1998 and 2007 from both advanced and developing countries of origin. In general, they find solid evidence for the importance of economic differentials between the sending and the host countries.…”

Section: Literature Reviewmentioning

confidence: 99%

Do climate variations explain bilateral migration? A gravity model analysis

Backhaus¹,

Martínez‐Zarzoso

Muris

2015

IZA J Migration

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This paper investigates to what extent international migration can be explained by climatic variations. A gravity model of migration augmented with average temperature and precipitation in the country of origin is estimated using a panel data set of 142 sending countries for the period 1995 to 2006. We find two primary results. First, temperature is positively correlated with migration. Second, stronger changes in precipitation are also associated with aligned, but small changes in migration. Both effects are robust to various model modifications. Furthermore, we present initial explorations into the channels relating climate changes with migration via agriculture and internal conflict.JEL Codes: F22, Q54

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Section: Literature Reviewmentioning

confidence: 99%

Do climate variations explain bilateral migration? A gravity model analysis

Backhaus¹,

Martínez‐Zarzoso

Muris

2015

IZA J Migration

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“…(), and Ruyssen et al . () are examples analyzing the impact of some of these factors directly on migration. Differently from these studies, however, we first focus on the impact of those factors on potential (rather than actual) migration.…”

Section: Literature Reviewmentioning

confidence: 99%

The Cross-country Determinants of Potential and Actual Migration

Docquier

Peri

Ruyssen

2014

International Migration Review

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181

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In this study, we use cross-country bilateral data to quantify a twostep process of international migration and its aggregate determinants. We first analyze which country-specific factors affect the probability that individuals join the pool of potential (aspiring) migrants. Then, we consider the bilateral and destination country factors that affect the frequency at which potential migrants turn into actual migrants. Using information on potential migrants from World Gallup surveys and on actual migrants from national censuses for 138 origin countries and 30 major destinations between 2000 and 2010, we analyze economic, policy, cultural, and network determinants of each step. We find that the size of the network of previous migrants and the average income per person at destination are crucial determinants of the size of the pool of potential migrants. Economic growth in the destination country, on the other hand, is the main economic generator of migration opportunities for a given pool of potential migrants. We also find that college-educated exhibit greater actual emigration rates mainly because of better chances in realizing their immigration potentials, rather than because of higher willingness to migrate.

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“…GDP differentials on migration may be due to communication lags in the flow of information via network effects to migrant-sending areas (Ruyssen et al, 2014).The positive coefficient for the two-year lag supports the finding that improved economic conditions are driving forces behind migration (Lim, 2011). It is unexpectedly offset by the parameter estimate for the three-year lag.…”

Section: Journal Of Finance and Economicsmentioning

confidence: 55%

An Econometric Approach for Modeling Population Change in Doña Ana County, New Mexico

Fullerton¹,

Walke²,

Villavicencio³

2015

JFE

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An econometric model using time series analysis techniques is employed to model and forecast population changes in Doña Ana County, New Mexico. The model focuses on the interplay between economic and demographic variables. Individual, cointegrated equations are generated to account for the components of population change -births, deaths, net domestic and net international migration. Birth and death equations prove easier to model because of stable changes from period to period in relation to income levels and national demographic trends. Net migration equations were more difficult to model as economic conditions, specifically labor market conditions, influence changes over time. Predefined exogenous variables are used to generate out-of-sample simulations for the individual components of population change. Using those results, total population projections are estimated until the year 2018. Doña Ana County is projected to witness a slowdown in population growth, primarily as a consequence of increased domestic out-migration.

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Determinants and dynamics of migration to OECD countries in a three-dimensional panel framework

Cited by 36 publications

References 37 publications

Do climate variations explain bilateral migration? A gravity model analysis

Do climate variations explain bilateral migration? A gravity model analysis

The Cross-country Determinants of Potential and Actual Migration

An Econometric Approach for Modeling Population Change in Doña Ana County, New Mexico

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