Migration costs and observational returns to migration in the developing world

Lagakos, David; Marshall, Samuel; Mobarak, Ahmed Mushfiq; Vernot, Corey; Waugh, Michael E.

doi:10.1016/j.jmoneco.2020.03.013

Cited by 50 publications

(12 citation statements)

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“…For the remaining 48 countries, we draw on country-specific censuses, household, or labor force surveys, including 19 surveys conducted as part of the World Bank's Living Standards Measurement Studies (LSMS). 4 When multiple years of appropriate data are available, we choose the year closest to 2005. Most of our data are within a few years of 2005; exact years, data sources, and sample sizes for all countries are given in online Appendix Table C.1.…”

Section: A Data Sourcesmentioning

confidence: 99%

How Do Hours Worked Vary with Income? Cross-Country Evidence and Implications

Bick

Fuchs‐Schündeln

Lagakos

2018

American Economic Review

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149

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This paper builds a new internationally comparable database of hours worked to measure how hours vary with income across and within countries. We document that average hours worked per adult are substantially higher in low-income countries than in high-income countries. The pattern of decreasing hours with aggregate income holds for both men and women, for adults of all ages and education levels, and along both the extensive and intensive margin. Within countries, hours worked per worker are also decreasing in the individual wage for most countries, though in the richest countries, hours worked are flat or increasing in the wage. One implication of our findings is that aggregate productivity and welfare differences across countries are larger than currently thought. (JEL E23, E24, J22, J31, O11, O15)

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Section: A Data Sourcesmentioning

confidence: 99%

How Do Hours Worked Vary with Income? Cross-Country Evidence and Implications

Bick

Fuchs‐Schündeln

Lagakos

2018

American Economic Review

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149

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“…Longitudinal data for a much shorter time span from six countries in Africa and Asia (China 2010, Ghana 2009-2013, Malawi 2010, South Africa 2008-2017, and Tanzania 2008-2012 show that, for movers, estimated returns to migration are as high as 20-30%. 1 Heterogeneity in migration costs is important, as returns to migration estimated from regressions with individual fixed effects for migrants from regions with above-and below-average migration levels within the same country differ significantly for three of the six countries (Lagakos et al 2020). Policies that affect migration costs could thus have significant impacts on structural transformation.…”

Section: How Large Are Intersectoral Wage Gaps and Why Do They Persist?mentioning

confidence: 99%

Structural Transformation of the Agricultural Sector In Low- and Middle-Income Economies

Deininger

Jin

2022

Annu. Rev. Resour. Econ.

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Movement of labor from agriculture to nonagriculture and the associated increase in farm size through structural transformation are at the core of economic development. We conduct a comprehensive review of the literature exploring the causes and consequences of the transformation. We discuss ( a) the size and determinants for the persisting wage gap between agriculture and nonagriculture, ( b) policy-induced barriers to structural changes, ( c) the role of trade costs and technical change in shaping the nature of structural transformation and comparative advantage of regions, and ( d) how the overall development of an economy affects the relationship between farm size and farm productivity and hence changes competitiveness of different scales of farms. We also identify questions for policy and research and the ways in which new sources and interoperability of data can help answer these questions. Expected final online publication date for the Annual Review of Resource Economics, Volume 14 is October 2022. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.

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“…In order to discipline the model to predict a relatively low share of workers in non-agriculture given the large wage differences, we need a substantial cost to enter that sector. This cost parameter relates to the literature on the agricultural productivity gap (see for example Gollin et al (2014); Lagakos et al (2020); Young (2014); Hamory et al (2020)). My estimate of a large friction is broadly in line with this literature.…”

Section: 4mentioning

confidence: 99%

The legacy of conflict: aggregate evidence from Sierra Leone

Hönig¹

2021

WIDER Working Paper

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Typescript prepared by Siméon Rapin.United Nations University World Institute for Development Economics Research provides economic analysis and policy advice with the aim of promoting sustainable and equitable development. The Institute began operations in 1985 in Helsinki, Finland, as the first research and training centre of the United Nations University. Today it is a unique blend of think tank, research institute, and UN agency-providing a range of services from policy advice to governments as well as freely available original research.The Institute is funded through income from an endowment fund with additional contributions to its work programme from Finland, Sweden, and the United Kingdom as well as earmarked contributions for specific projects from a variety of donors.

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Migration costs and observational returns to migration in the developing world

Cited by 50 publications

References 38 publications

How Do Hours Worked Vary with Income? Cross-Country Evidence and Implications

How Do Hours Worked Vary with Income? Cross-Country Evidence and Implications

Structural Transformation of the Agricultural Sector In Low- and Middle-Income Economies

The legacy of conflict: aggregate evidence from Sierra Leone

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