IDEAS home Printed from https://ideas.repec.org/p/tin/wpaper/20200053.html
   My bibliography  Save this paper

Genetic Fortune: Winning or Losing Education, Income, and Health

Author

Listed:
  • Hyeokmoon Kweon

    (Vrije Universiteit Amsterdam)

  • Casper A.P. Burik

    (Vrije Universiteit Amsterdam)

  • Richard Karlsson Linner

    (Vrije Universiteit Amsterdam)

  • Ronald de Vlaming

    (Vrije Universiteit Amsterdam)

  • Aysu Okbay

    (Vrije Universiteit Amsterdam)

  • Daphne Martschenko

    (Stanford University)

  • Kathryn Paige Harden

    (University of Texas at Austin)

  • Thomas A. DiPrete

    (Columbia University)

  • Philipp D. Koellinger

    (Vrije Universiteit Amsterdam)

Abstract

We develop a polygenic index for individual income and examine random differences in this index with lifetime outcomes in a sample of ~35,000 biological siblings. We find that genetic fortune for higher income causes greater socio-economic status and better health, partly via intervenable environmental pathways such as education. The positive returns to schooling remain substantial even after controlling for now observable genetic confounds. Our findings illustrate that inequalities in education, income, and health are partly due the outcomes of a genetic lottery. However, the consequences of different genetic endowments are malleable, for example via policies that target education.

Suggested Citation

  • Hyeokmoon Kweon & Casper A.P. Burik & Richard Karlsson Linner & Ronald de Vlaming & Aysu Okbay & Daphne Martschenko & Kathryn Paige Harden & Thomas A. DiPrete & Philipp D. Koellinger, 2020. "Genetic Fortune: Winning or Losing Education, Income, and Health," Tinbergen Institute Discussion Papers 20-053/V, Tinbergen Institute, revised 01 Dec 2020.
  • Handle: RePEc:tin:wpaper:20200053
    as

    Download full text from publisher

    File URL: https://papers.tinbergen.nl/20053.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Anderson, Michael L, 2008. "Multiple Inference and Gender Differences in the Effects of Early Intervention: A Reevaluation of the Abecedarian, Perry Preschool, and Early Training Projects," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt15n8j26f, Department of Agricultural & Resource Economics, UC Berkeley.
    2. Raj Chetty & Nathaniel Hendren, 2018. "The Impacts of Neighborhoods on Intergenerational Mobility II: County-Level Estimates," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 133(3), pages 1163-1228.
    3. Daniel J. Benjamin & David Cesarini & Christopher F. Chabris & Edward L. Glaeser & David I. Laibson & Vilmundur Guðnason & Tamara B. Harris & Lenore J. Launer & Shaun Purcell & Albert Vernon Smith & M, 2012. "The Promises and Pitfalls of Genoeconomics," Annual Review of Economics, Annual Reviews, vol. 4(1), pages 627-662, July.
      • Grankvist, Alexander & Benjamin, Daniel J. & Harris, Tamara B. & Launer, Lenore J. & Smith, Albert Vernon & Johannesson, Magnus & Atwood, Craig S. & Hebert, Benjamin Michael & Hultman, Christina M. & , 2012. "The Promises and Pitfalls of Genoeconomics," Scholarly Articles 10137000, Harvard University Department of Economics.
    4. David Cesarini & Magnus Johannesson & Paul Lichtenstein & Örjan Sandewall & Björn Wallace, 2010. "Genetic Variation in Financial Decision‐Making," Journal of Finance, American Finance Association, vol. 65(5), pages 1725-1754, October.
    5. James J. Heckman & Rodrigo Pinto, 2015. "Econometric Mediation Analyses: Identifying the Sources of Treatment Effects from Experimentally Estimated Production Technologies with Unmeasured and Mismeasured Inputs," Econometric Reviews, Taylor & Francis Journals, vol. 34(1-2), pages 6-31, February.
    6. Daniel Barth & Nicholas W. Papageorge & Kevin Thom, 2020. "Genetic Endowments and Wealth Inequality," Journal of Political Economy, University of Chicago Press, vol. 128(4), pages 1474-1522.
    7. Perline Demange & Margherita Malanchini & Travis Mallard & Pietro Biroli & Simon Cox & Andrew Grotzinger & Elliot Tucker-Drob & Abdel Abdellaoui & Louise Arseneault & Elsje van Bergen & Dorret Boomsma, 2020. "Investigating the Genetic Architecture of Non-Cognitive Skills Using GWAS-by-Subtraction," Working Papers 2020-028, Human Capital and Economic Opportunity Working Group.
    8. Simon Haworth & Ruth Mitchell & Laura Corbin & Kaitlin H. Wade & Tom Dudding & Ashley Budu-Aggrey & David Carslake & Gibran Hemani & Lavinia Paternoster & George Davey Smith & Neil Davies & Daniel J. , 2019. "Apparent latent structure within the UK Biobank sample has implications for epidemiological analysis," Nature Communications, Nature, vol. 10(1), pages 1-9, December.
    9. John E. Roemer & Alain Trannoy, 2016. "Equality of Opportunity: Theory and Measurement," Journal of Economic Literature, American Economic Association, vol. 54(4), pages 1288-1332, December.
    10. Alexander W. Cappelen & James Konow & Erik ?. S?rensen & Bertil Tungodden, 2013. "Just Luck: An Experimental Study of Risk-Taking and Fairness," American Economic Review, American Economic Association, vol. 103(4), pages 1398-1413, June.
    11. Silvia H. Barcellos & Leandro S. Carvalho & Patrick Turley, 2018. "Education can reduce health differences related to genetic risk of obesity," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 115(42), pages 9765-9772, October.
    12. Thomas A. DiPrete & Casper A. P. Burik & Philipp D. Koellinger, 2018. "Genetic instrumental variable regression: Explaining socioeconomic and health outcomes in nonexperimental data," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 115(22), pages 4970-4979, May.
    13. Paul Taubman, 1976. "Earnings, Education, Genetics, and Environment," Journal of Human Resources, University of Wisconsin Press, vol. 11(4), pages 447-461.
    14. Miles Corak, 2013. "Income Inequality, Equality of Opportunity, and Intergenerational Mobility," Journal of Economic Perspectives, American Economic Association, vol. 27(3), pages 79-102, Summer.
    15. Bruce Sacerdote, 2002. "The Nature and Nurture of Economic Outcomes," American Economic Review, American Economic Association, vol. 92(2), pages 344-348, May.
    16. Alberto Alesina & Stefanie Stantcheva & Edoardo Teso, 2018. "Intergenerational Mobility and Preferences for Redistribution," American Economic Review, American Economic Association, vol. 108(2), pages 521-554, February.
    17. Christopher Dougherty, 2005. "Why Are the Returns to Schooling Higher for Women than for Men?," Journal of Human Resources, University of Wisconsin Press, vol. 40(4), pages 969-988.
    18. Emily Oster, 2019. "Unobservable Selection and Coefficient Stability: Theory and Evidence," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 37(2), pages 187-204, April.
    19. van der Loos, Matthijs J. H. M. & Benjamin, Daniel J. & Cesarini, David & Dawes, Christopher T. & Koellinger, Philipp D. & Magnusson, Patrik K. E. & Chabris, Christopher F. & Conley, Dalton & Laibson,, 2012. "The Genetic Architecture of Economic and Political Preferences," Scholarly Articles 10121961, Harvard University Department of Economics.
    20. Steven N. Durlauf & Ananth Seshadri, 2018. "Understanding the Great Gatsby Curve," NBER Macroeconomics Annual, University of Chicago Press, vol. 32(1), pages 333-393.
    21. Alesina, Alberto & La Ferrara, Eliana, 2005. "Preferences for redistribution in the land of opportunities," Journal of Public Economics, Elsevier, vol. 89(5-6), pages 897-931, June.
    22. Gary S. Becker & Scott Duke Kominers & Kevin M. Murphy & Jörg L. Spenkuch, 2018. "A Theory of Intergenerational Mobility," Journal of Political Economy, University of Chicago Press, vol. 126(S1), pages 7-25.
    23. K. Paige Harden & Philipp D. Koellinger, 2020. "Using genetics for social science," Nature Human Behaviour, Nature, vol. 4(6), pages 567-576, June.
    24. O. Ashenfelter & D. Card (ed.), 1999. "Handbook of Labor Economics," Handbook of Labor Economics, Elsevier, edition 1, volume 3, number 3.
    25. Peter M Visscher & Gibran Hemani & Anna A E Vinkhuyzen & Guo-Bo Chen & Sang Hong Lee & Naomi R Wray & Michael E Goddard & Jian Yang, 2014. "Statistical Power to Detect Genetic (Co)Variance of Complex Traits Using SNP Data in Unrelated Samples," PLOS Genetics, Public Library of Science, vol. 10(4), pages 1-10, April.
    26. Grossman, Michael, 2000. "The human capital model," Handbook of Health Economics, in: A. J. Culyer & J. P. Newhouse (ed.), Handbook of Health Economics, edition 1, volume 1, chapter 7, pages 347-408, Elsevier.
    27. Clare Bycroft & Colin Freeman & Desislava Petkova & Gavin Band & Lloyd T. Elliott & Kevin Sharp & Allan Motyer & Damjan Vukcevic & Olivier Delaneau & Jared O’Connell & Adrian Cortes & Samantha Welsh &, 2018. "The UK Biobank resource with deep phenotyping and genomic data," Nature, Nature, vol. 562(7726), pages 203-209, October.
    28. Kyoko Watanabe & Erdogan Taskesen & Arjen Bochoven & Danielle Posthuma, 2017. "Functional mapping and annotation of genetic associations with FUMA," Nature Communications, Nature, vol. 8(1), pages 1-11, December.
    29. Edward C. Norton & Euna Han, 2008. "Genetic information, obesity, and labor market outcomes," Health Economics, John Wiley & Sons, Ltd., vol. 17(9), pages 1089-1104, September.
    30. Marianne Bertrand & Sendhil Mullainathan, 2004. "Are Emily and Greg More Employable Than Lakisha and Jamal? A Field Experiment on Labor Market Discrimination," American Economic Review, American Economic Association, vol. 94(4), pages 991-1013, September.
    31. Anderson, Michael L., 2008. "Multiple Inference and Gender Differences in the Effects of Early Intervention: A Reevaluation of the Abecedarian, Perry Preschool, and Early Training Projects," Journal of the American Statistical Association, American Statistical Association, vol. 103(484), pages 1481-1495.
    32. Card, David, 1999. "The causal effect of education on earnings," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 3, chapter 30, pages 1801-1863, Elsevier.
    33. Ding, Weili & Lehrer, Steven F. & Rosenquist, J.Niels & Audrain-McGovern, Janet, 2009. "The impact of poor health on academic performance: New evidence using genetic markers," Journal of Health Economics, Elsevier, vol. 28(3), pages 578-597, May.
    34. W. David Hill & Neil M. Davies & Stuart J. Ritchie & Nathan G. Skene & Julien Bryois & Steven Bell & Emanuele Di Angelantonio & David J. Roberts & Shen Xueyi & Gail Davies & David C. M. Liewald & Davi, 2019. "Genome-wide analysis identifies molecular systems and 149 genetic loci associated with income," Nature Communications, Nature, vol. 10(1), pages 1-16, December.
    35. Nicolaou, Nicos & Shane, Scott, 2010. "Entrepreneurship and occupational choice: Genetic and environmental influences," Journal of Economic Behavior & Organization, Elsevier, vol. 76(1), pages 3-14, October.
    36. von Hinke, Stephanie & Davey Smith, George & Lawlor, Debbie A. & Propper, Carol & Windmeijer, Frank, 2016. "Genetic markers as instrumental variables," Journal of Health Economics, Elsevier, vol. 45(C), pages 131-148.
    37. Jeffrey S. Zax & Daniel I. Rees, 2002. "IQ, Academic Performance, Environment, and Earnings," The Review of Economics and Statistics, MIT Press, vol. 84(4), pages 600-616, November.
    38. Siebert, Horst, 1997. "Labor market rigidities and unemployment in Europe," Kiel Working Papers 787, Kiel Institute for the World Economy (IfW Kiel).
    39. Kaas Leo & Manger Christian, 2012. "Ethnic Discrimination in Germany’s Labour Market: A Field Experiment," German Economic Review, De Gruyter, vol. 13(1), pages 1-20, February.
    40. Daniel W. Belsky & Benjamin W. Domingue & Robbee Wedow & Louise Arseneault & Jason D. Boardman & Avshalom Caspi & Dalton Conley & Jason M. Fletcher & Jeremy Freese & Pamela Herd & Terrie E. Moffitt & , 2018. "Genetic analysis of social-class mobility in five longitudinal studies," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 115(31), pages 7275-7284, July.
    41. Cappelen, Alexander W. & Sørensen, Erik Ø. & Tungodden, Bertil, 2010. "Responsibility for what? Fairness and individual responsibility," European Economic Review, Elsevier, vol. 54(3), pages 429-441, April.
    42. Taubman, Paul, 1976. "The Determinants of Earnings: Genetics, Family, and Other Environments; A Study of White Male Twins," American Economic Review, American Economic Association, vol. 66(5), pages 858-870, December.
    43. Daron Acemoglu, 2002. "Technical Change, Inequality, and the Labor Market," Journal of Economic Literature, American Economic Association, vol. 40(1), pages 7-72, March.
    44. Nicos Nicolaou & Scott Shane, 2010. "Entrepreneurship And Occupational Choice: Genetic And Environmental Influences," Post-Print hal-00856601, HAL.
    45. Joseph Henrich & Steve J. Heine & Ara Norenzayan, 2010. "The Weirdest People in the World?," RatSWD Working Papers 139, German Data Forum (RatSWD).
    46. David Cesarini & Christopher T. Dawes & Magnus Johannesson & Paul Lichtenstein & Björn Wallace, 2009. "Genetic Variation in Preferences for Giving and Risk Taking," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 124(2), pages 809-842.
    47. Orley Ashenfelter & Cecilia Rouse, 1998. "Income, Schooling, and Ability: Evidence from a New Sample of Identical Twins," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 113(1), pages 253-284.
    48. Reimers, Cordelia W, 1983. "Labor Market Discrimination against Hispanic and Black Men," The Review of Economics and Statistics, MIT Press, vol. 65(4), pages 570-579, November.
    49. Colm Harmon & Hessel Oosterbeek & Ian Walker, 2003. "The Returns to Education: Microeconomics," Journal of Economic Surveys, Wiley Blackwell, vol. 17(2), pages 115-156, April.
    50. Fletcher, Jason M. & Lehrer, Steven F., 2011. "Genetic lotteries within families," Journal of Health Economics, Elsevier, vol. 30(4), pages 647-659, July.
    51. Jacob Mincer, 1958. "Investment in Human Capital and Personal Income Distribution," Journal of Political Economy, University of Chicago Press, vol. 66, pages 281-281.
    52. Samuel Bowles & Herbert Gintis, 2002. "The Inheritance of Inequality," Journal of Economic Perspectives, American Economic Association, vol. 16(3), pages 3-30, Summer.
    53. David H. Autor, 2001. "Wiring the Labor Market," Journal of Economic Perspectives, American Economic Association, vol. 15(1), pages 25-40, Winter.
    54. Ari Hyytinen & Pekka Ilmakunnas & Edvard Johansson & Otto Toivanen, 2019. "Heritability of lifetime earnings," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 17(3), pages 319-335, September.
    55. Chabris, C. F. & Lee, J. J. & Cesarini, D. & Benjamin, D. J. & Laibson, David I., 2015. "The Fourth Law of Behavior Genetics," Scholarly Articles 30780203, Harvard University Department of Economics.
    56. Horst Siebert, 1997. "Labor Market Rigidities: At the Root of Unemployment in Europe," Journal of Economic Perspectives, American Economic Association, vol. 11(3), pages 37-54, Summer.
    57. Griliches, Zvi, 1977. "Estimating the Returns to Schooling: Some Econometric Problems," Econometrica, Econometric Society, vol. 45(1), pages 1-22, January.
    58. Goldberger, Arthur S, 1978. "The Genetic Determination of Income: Comment," American Economic Review, American Economic Association, vol. 68(5), pages 960-969, December.
    59. Nathaniel Comfort, 2018. "Genetic determinism rides again," Nature, Nature, vol. 561(7724), pages 461-463, September.
    60. Behrman, Jere R & Rosenzweig, Mark R & Taubman, Paul, 1994. "Endowments and the Allocation of Schooling in the Family and in the Marriage Market: The Twins Experiment," Journal of Political Economy, University of Chicago Press, vol. 102(6), pages 1131-1174, December.
    61. Charles F. Manski, 2011. "Genes, Eyeglasses, and Social Policy," Journal of Economic Perspectives, American Economic Association, vol. 25(4), pages 83-94, Fall.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Pietro Biroli & Titus J. Galama & Stephanie von Hinke & Hans van Kippersluis & Cornelius A. Rietveld & Kevin Thom, 2022. "The Economics and Econometrics of Gene-Environment Interplay," Papers 2203.00729, arXiv.org.
    2. Rita Dias Pereira & Pietro Biroli & Titus Galama & Stephanie von Hinke & Hans van Kippersluis & Cornelius A. Rietveld & Kevin Thom, 2022. "Gene-Environment Interplay in the Social Sciences," Papers 2203.02198, arXiv.org, revised Aug 2022.
    3. Silvia H. Barcellos & Leandro Carvalho & Patrick Turley, 2021. "The Effect of Education on the Relationship between Genetics, Early-Life Disadvantages, and Later-Life SES," NBER Working Papers 28750, National Bureau of Economic Research, Inc.
    4. Casper A.P. Burik & Hyeokmoon Kweon & Philipp D. Koellinger, 2021. "Disparities in socio-economic status and BMI in the UK are partly due to genetic and environmental luck," Tinbergen Institute Discussion Papers 21-035/V, Tinbergen Institute.
    5. Biroli, Pietro & Zwyssig, Laura, 2021. "Moral Hazard Heterogeneity: Genes and Health Insurance Influence Smoking after a Health Shock," IZA Discussion Papers 14176, Institute of Labor Economics (IZA).
    6. Andrea Fazio, 2021. "Beautiful inequality: Are beautiful people more willing to redistribute?," Working Papers in Public Economics 194, University of Rome La Sapienza, Department of Economics and Law.
    7. Giannelis, Alexandros & Willoughby, Emily A. & Corley, Robin & Hopfer, Christian & Hewitt, John K. & Iacono, William G. & Anderson, Jacob & Rustichini, Aldo & Vrieze, Scott I. & McGue, Matt & Lee, Jam, 2023. "The association between saving disposition and financial distress: A genetically informed approach," Journal of Economic Psychology, Elsevier, vol. 96(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Dixon, Padraig & Hollingworth, William & Harrison, Sean & Davies, Neil M. & Davey Smith, George, 2020. "Mendelian Randomization analysis of the causal effect of adiposity on hospital costs," Journal of Health Economics, Elsevier, vol. 70(C).
    2. Pereira, Rita & Biroli, Pietro & von hinke, stephanie & Van Kippersluis, Hans & Galama, Titus & Rietveld, Niels & Thom, Kevin, 2022. "Gene-Environment Interplay in the Social Sciences," OSF Preprints d96z3, Center for Open Science.
    3. Ari Hyytinen & Pekka Ilmakunnas & Edvard Johansson & Otto Toivanen, 2019. "Heritability of lifetime earnings," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 17(3), pages 319-335, September.
    4. Henrik Cronqvist & Florian Münkel & Stephan Siegel, 2014. "Genetics, Homeownership, and Home Location Choice," The Journal of Real Estate Finance and Economics, Springer, vol. 48(1), pages 79-111, January.
    5. Xu, Yilan & Briley, Daniel A. & Brown, Jeffrey R. & Roberts, Brent W., 2017. "Genetic and environmental influences on household financial distress," Journal of Economic Behavior & Organization, Elsevier, vol. 142(C), pages 404-424.
    6. Sandewall, Örjan & Cesarini, David & Johannesson, Magnus, 2014. "The co-twin methodology and returns to schooling — testing a critical assumption," Labour Economics, Elsevier, vol. 26(C), pages 1-10.
    7. Hyytinen, Ari & Ilmakunnas, Pekka & Johansson, Edvard & Toivanen, Otto, 2013. "Heritability of Lifetime Income," MPRA Paper 46326, University Library of Munich, Germany.
    8. Cornelius A. Rietveld & Eric A.W. Slob & A. Roy Thurik, 2021. "A decade of research on the genetics of entrepreneurship: a review and view ahead," Small Business Economics, Springer, vol. 57(3), pages 1303-1317, October.
    9. Polachek, Solomon W., 2008. "Earnings Over the Life Cycle: The Mincer Earnings Function and Its Applications," Foundations and Trends(R) in Microeconomics, now publishers, vol. 4(3), pages 165-272, April.
    10. Brunello, Giorgio & Sanz-de-Galdeano, Anna & Terskaya, Anastasia, 2020. "Not only in my genes: The effects of peers’ genotype on obesity," Journal of Health Economics, Elsevier, vol. 72(C).
    11. Maczulskij, Terhi, 2013. "Employment sector and pay gaps: Genetic and environmental influences," Labour Economics, Elsevier, vol. 23(C), pages 89-96.
    12. Mustafizur Rahman & Marzuka Md. Al-Hasan, 2019. "Women in Bangladesh Labour Market: Determinants of Participation, Gender Wage Gap and Returns to Schooling," CPD Working Paper 124, Centre for Policy Dialogue (CPD).
    13. Barban, Nicola & De Cao, Elisabetta & Oreffice, Sonia & Quintana-Domeque, Climent, 2021. "The effect of education on spousal education: A genetic approach," Labour Economics, Elsevier, vol. 71(C).
    14. Hofmarcher, Thomas, 2021. "The effect of education on poverty: A European perspective," Economics of Education Review, Elsevier, vol. 83(C).
    15. Khan, Bilal Muhammad, 2019. "Education Occupation Mismatch in Developing countries," MPRA Paper 92324, University Library of Munich, Germany.
    16. Marcel Preuss & Germán Reyes & Jason Somerville & Joy Wu, 2024. "Inequality of Opportunity and Income Redistribution," CRC TR 224 Discussion Paper Series crctr224_2024_491, University of Bonn and University of Mannheim, Germany.
    17. Cobb-Clark, Deborah A. & Dahmann, Sarah C. & Salamanca, Nicolás & Zhu, Anna, 2022. "Intergenerational disadvantage: Learning about equal opportunity from social assistance receipt," Labour Economics, Elsevier, vol. 79(C).
    18. Laurent E. Calvet & Paolo Sodini, 2014. "Twin Picks: Disentangling the Determinants of Risk-Taking in Household Portfolios," Journal of Finance, American Finance Association, vol. 69(2), pages 867-906, April.
    19. Schultz, T. Paul, 2010. "Population and Health Policies," Handbook of Development Economics, in: Dani Rodrik & Mark Rosenzweig (ed.), Handbook of Development Economics, edition 1, volume 5, chapter 0, pages 4785-4881, Elsevier.
    20. Maresa Sprietsma, 2013. "Discrimination in grading: experimental evidence from primary school teachers," Empirical Economics, Springer, vol. 45(1), pages 523-538, August.

    More about this item

    Keywords

    Income; education; health; inequality; heritability; genetics; polygenic index;
    All these keywords.

    JEL classification:

    • J00 - Labor and Demographic Economics - - General - - - General
    • I20 - Health, Education, and Welfare - - Education - - - General
    • I10 - Health, Education, and Welfare - - Health - - - General

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:tin:wpaper:20200053. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Tinbergen Office +31 (0)10-4088900 (email available below). General contact details of provider: https://edirc.repec.org/data/tinbenl.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.