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Immigrants' demand for informal and formal education: evidence from US time use data

Published online by Cambridge University Press:  21 July 2021

Nicola Daniele Coniglio*
Affiliation:
Economics and Finance, Università degli Studi di Bari Aldo Moro, Bari, Italy
Rezart Hoxhaj
Affiliation:
Economics, Ghent University, Ghent, Belgium
Hubert Jayet
Affiliation:
Université de Lille, Lille, France
*
*Corresponding author. E-mail: nicoladaniele.coniglio@uniba.it
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Abstract

This paper contributes to the migration literature studying the time devoted to educational activities. It uses US time-diary surveys to study the allocation of time to informal as well as formal learning and educational activities by immigrants and natives. We develop a simple theoretical framework, which highlights the different constraints/opportunity costs faced by immigrants as compared with natives. Consistently with our theoretical model, the estimates show that immigrants are more likely to engage in informal and formal education and conditional on participation, they allocate more time to these activities. We find that the main drivers are economic incentives, mostly in the early phase of working life, and that the differences between natives and immigrants persist across generations. We also find that differences between immigrants and natives are generally larger in informal education than in formal education. The investment in informal and formal learning and educational activities is likely to boost immigrants' human and social capital and contribute to their socio-economic integration.

Type
Research Paper
Copyright
Copyright © Université catholique de Louvain 2021

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References

Arcand, J. and Mbaye, L. (2013) Braving the waves: the role of time and risk preferences in illegal migration from Senegal, 7517 CERDI Working Paper.CrossRefGoogle Scholar
Barrett, Garry and Hamermesh, Daniel S. (2019) Labor supply elasticities overcoming nonclassical measurement error using more accurate hours data. Journal of Human Resources 54(1), 255265.CrossRefGoogle Scholar
Becker, Garry S. (1965) A theory of the allocation of time. Economic Journal 75(299), 493517.CrossRefGoogle Scholar
Bleakley, Hoyt and Chin, Aimee (2004) Language skills and earnings: evidence from childhood immigrants. Review of Economics and Statistics 86(2), 481496.CrossRefGoogle Scholar
Borjas, George J (2015) The slowdown in the economic assimilation of immigrants: aging and cohort effects revisited again. Journal of Human Capital 9(4), 483517.CrossRefGoogle Scholar
Bound, John, Charles, Brown and Mathiowetz, Nancy (2001) Measurement error in survey data. In Heckman, James and Leamer, Edward (eds.), Handbook of Econometrics 5. Amsterdam: Elsevier, pp. 37053843.CrossRefGoogle Scholar
Caparrós, Ruiz Antonio (2017) Adolescents’ time-use in Spain: does the parental human capital matter? Child Indicators Research 10(1), 8199.CrossRefGoogle Scholar
Chiswick, Barry R. (1978) The effect of Americanization on the earnings of foreign-born men. Journal of Political Economy 86(5), 897921.CrossRefGoogle Scholar
Chiswick, Barry R. and Miller, Paul W. (1994) The determinants of post-immigration investments in education. Economics of Education Review 13(2), 163177.CrossRefGoogle Scholar
Chiswick, Barry R. and Miller, Paul W. (2008) Why is the payoff of schooling smaller for immigrants? Laboratory Economics 15, 13171340.CrossRefGoogle Scholar
Chiswick, Barry R. and Miller, Paul W. (2012) Negative and positive assimilation, skill transferability, and linguistic distance. Journal of Human Capital 9(1), 3555.CrossRefGoogle Scholar
Coleman, James S. (1988) Social capital in the creation of human capital. American Journal of Sociology 94, 95120.CrossRefGoogle Scholar
Cragg, G. John (1971) Some statistical models for limited dependent variables with application to the demand for durable goods. Econometrica 39(5), 829844.CrossRefGoogle Scholar
Dustmann, Christian and Glitz, Albrecht (2011) Migration and education. In Hanushek, Eric A., Machin, Stephen and Woessmann, Ludger (eds.), Handbook of the Economics of Education, vol. 4. Amsterdam: Elsevier, pp. 327439.CrossRefGoogle Scholar
Fahr, Rene (2005) Loafing or learning?—The demand for informal education. European Economic Review 49, 7598.CrossRefGoogle Scholar
Gibson, J. and McKenzie, D. (2011) The microeconomic determinants of emigration and return migration of the best and brightest: evidence from the Pacific. Journal of Development Economics 95, 1829.CrossRefGoogle Scholar
Goldbach, Carina and Achim, Schluter (2018) Risk aversion, time preferences, and out-migration. Experimental evidence from Ghana and Indonesia. Journal of Economic Behavior and Organization 150, 132148.CrossRefGoogle Scholar
Green, Colin, Parvinder, Kler and Gareth, Leeves (2007) Immigrant overeducation: evidence from recent arrivals to Australia. Economics of Education Review 26, 420432.CrossRefGoogle Scholar
Haley, M. Ryan and Taengnoi, Sarinda (2011) The skill transferability of high-skilled US immigrants. Applied Economics Letters 18, 633636.CrossRefGoogle Scholar
Hamermesh, S. Daniel and Pfann., Gerard, A. (2005) Time-use data in economics. European Economic Review 49, 17.CrossRefGoogle Scholar
Hamermesh, S. Daniel and Trejo, Stephan, J. (2013) How do immigrants spend their time? The process of assimilation. Journal of Population Economics 26, 507530.CrossRefGoogle ScholarPubMed
Hofferth, S. L., Flood, S. M. and Sobek, M. (2017) American time-use survey data extract builder: Version 2.6 [dataset]. College Park, MD: University of Maryland and Minneapolis, MN: University of Minnesota. http://doi.org/10.18128/D060.v2.7.CrossRefGoogle Scholar
Horrigan, Micheal and Diane, Herz, (2004) Planning, designing and executing the BLS American time-use survey. Monthly Labor Review 127(10), 319.Google Scholar
Juster, F. Thomas, Hiromi, Ono and Stafford, Frank P. (2003) An assessment of alternative measures of time-use. Sociological Methodology 33(1), 1954.CrossRefGoogle Scholar
Mattoo, Aaditya, Neagu, Ileana C. and Özden, Çağlar (2008) Brain waste? Educated immigrants in the US labor market. Journal of Development Economics 87, 255269.CrossRefGoogle Scholar
Nowotny, Klaus (2014) Cross-border commuting and migration intentions: the roles of risk aversion and time preference, Contemporary Economics, University of Economics and Human Sciences in Warsaw, vol. 8(2), June.CrossRefGoogle Scholar
OECD (2014) Skills Beyond School: Synthesis Report. OECD Reviews of Vocational Training: OECD Publishing. www.oecd-ilibrary.org/education/skills-beyond-school_9789264214682-enGoogle Scholar
Ribar, C. David (2012) Immigrants’ time-use: a survey of methods and evidence. In Constant, Amelie F. and Zimmermann, Klaus F. (eds.), International Handbook on the Economics of Migration. Edward Elgar Publishing, pp. 373392.Google Scholar
Zaiceva, Anzelika and Zimmermann, Klaus F. (2014) Children, kitchen, church: does ethnicity matter? Review of Economics of the Household 12(1), 83–10.CrossRefGoogle Scholar