Welfare Effects of Regular and Irregular Migration

Benček, David; Heidland, Tobias; Lücke, Matthias; Schneiderheinze, Claas

doi:10.1007/978-3-658-32902-0_14

Cited by 1 publication

(6 citation statements)

References 38 publications

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“…The switch from a positive to a universal negative relationship we observe when controlling for cross‐country heterogeneity is in line with what several previous studies have found (e.g. Benček & Schneiderheinze, 2020; Ortega & Peri, 2013).…”

Section: Resultssupporting

confidence: 92%

“…First, cross‐country heterogeneity renders causal interpretation difficult. Benček and Schneiderheinze (2020), for example, show that countries located at the upward‐sloping part of the migration hump, on average, differ markedly from richer countries with respect to crucial exogenous factors such as distance to OECD countries, size and past colonial ties. These factors, in turn, tend to be negatively related to both development and emigration.…”

Section: Related Literaturementioning

confidence: 99%

“…This finding could still be in line with the inverted U‐shape hypothesis, given that highly skilled emigrants such as doctors are likely to be located on the descending segment of the migration hump. Another group of papers (Benček & Schneiderheinze, 2020; Böhme et al, 2020; Clist & Restelli, 2021; Ortega & Peri, 2013), however, point to a universal negative income‐migration relationship once cross‐country heterogeneity is accounted for through the inclusion of an appropriate set of fixed effects. Similarly, using Gallup‐World Poll data on migration intentions, Langella and Manning (2021) find a (weakly) significant negative relationship between aggregate per capita GDP and individuals' desire to emigrate to poorer countries.…”

Section: Related Literaturementioning

confidence: 99%

“…As Bertoli and Fernandez‐Huertas Moraga (2013) have shown, failing to account for multilateral resistance would lead to overestimated effects of economic conditions at the origin. In a robustness check, we follow previous studies by Benček and Schneiderheinze (2020) as well as Clemens (2020) and estimate a monadic model.…”

Section: Econometric Specification and Datamentioning

confidence: 99%

“…Adovor et al, 2021; Ortega & Peri, 2013), while others (e.g. Benček & Schneiderheinze, 2020; Clemens, 2020) have focused on the country‐of‐origin perspective in a purely monadic setting. We shed new light on the robustness of the estimated relationship between per‐capita income and emigration from developing countries by applying a broad range of specifications in accordance with the approaches employed in the previous literature.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

The link between economic growth and emigration from developing countries: Does migrants' skill composition matter?

Lanati,

Thiele

2023

Kyklos

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Tackling the root causes of migration from developing countries through development cooperation has been suggested as an essential part of the policy mix in OECD migrant destinations. This is even though the evidence on whether economic development leads to more or less people emigrating is so far inconclusive. We investigate the relationship between income per capita and emigration to OECD countries separately for three different skill groups—low‐skilled, medium‐skilled and high‐skilled emigrants—being the first to employ panel regression approaches that account for cross‐country heterogeneity and cover a policy‐relevant time frame of about 5 years. Our findings reveal a universal negative association between income per capita and emigration for all three skill groups and for different income thresholds. This implies that policy makers should not be too concerned about potential trade‐offs between (successful) development cooperation and immigration management, at least in the short to medium run that our analysis covers. At the same time, the scope for using development cooperation as a migration policy instrument can be considered to be limited given the modest size of the estimated income effect: Taking our point estimates at face value, a 10% rise in GDP per capita would on average lead to about 3600 fewer immigrants per destination.

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Section: Resultssupporting

confidence: 92%

Section: Related Literaturementioning

confidence: 99%