Araştırma Makalesi
BibTex RIS Kaynak Göster

Bilişsel Beceriler ve İstihdam: Cinsiyete Dayalı Bir Fark Var Mı?

Yıl 2025, Cilt: 14 Sayı: 2, 291 - 321, 07.09.2025

Öz

Bu çalışma, bilişsel beceriler ile istihdam durumu arasındaki ilişkide cinsiyet farklılıklarının rolünü incelemektedir. 2003–2019 yıllarını kapsayan Sosyo-Ekonomik Panel (SOEP) verileri kullanılarak, bilişsel beceriler üç dalga halinde uygulanan ve zaman içinde sabit kaldığı varsayılan Sembol-Rakam Testi (SDT) sonuçlarıyla ölçülmektedir. Bulgularımız, bilişsel beceriler ile istihdam olasılığı arasında anlamlı ve pozitif bir ilişki olduğunu ve bu ilişkinin cinsiyetler arasında belirgin farklılıklar gösterdiğini ortaya koymaktadır. Özellikle erkekler için bilişsel becerilerin getirisi sistematik olarak daha yüksektir. Bu sonuçlar, farklı tahmin yöntemleri kullanıldığında ve bilişsel becerilerin zamanla sabit ya da değişken biçimleri dikkate alındığında da tutarlılığını korumaktadır. Ayrıca, sosyal normlar ve bireysel farklılıklar gibi bu farklılıkları açıklayabilecek muhtemel mekanizmalar da tartışılmaktadır.

Kaynakça

  • Almlund, M., Duckworth, A. L., Heckman, J., & Kautz, T. (2011). Personality psychology and economics. In Handbook of the Economics of Education (Vol. 4, pp. 1–181). Elsevier.
  • Anger, S., & Heineck, G. (2010). Cognitive abilities and earnings –first evidence for Germany. Applied Economics Letters, 17(7), 699–702.
  • Auspurg, K., Hinz, T., & Sauer, C. (2017). Why should women get less? Evidence on the gender pay gap from multifactorial survey experiments. American Sociological Review, 82 (1), 179–210.
  • Autor, D. H. (2014). Skills, education, and the rise of earnings inequality among the “other 99 percent.” Science, 344(6186), 843–851.
  • Baert, S., De Pauw, A. S., & Deschacht, N. (2016). Do employer preferences contribute to sticky floors? ILR Review, 69 (4), 714–736.
  • Bayley, N., & Oden, M. M. (1955). The maintenance of intellectual ability in gifted adults. Journal of Gerontology, 10, 91–107.
  • Bechichi, N., Grundke, R., Jamet, S., & Squicciarini, M. (2018), Moving between jobs: An analysis of occupation distances and skill needs, OECD Science, Technology and Industry Policy Papers, No. 52, OECD Publishing, Paris.
  • Bishop, J. H. (1989). Achievement, test scores and relative wages.
  • Blau, F. D., & Kahn, L. M. (1996). International differences in male wage inequality: institutions versus market forces. Journal of Political Economy, 104(4), 791-837.
  • Bonikowska, A., Green, D. A., & Riddell, W. C. (2008). Literacy and the labour market: Cognitive skills and immigrant earnings. Ottawa: Statistics Canada.
  • Bortolotti, S., Dohmen, T., Lehmann, H., Meyer, F., Pignatti, N., & Torosyan, K. (2021). Patience, cognitive abilities, and cognitive effort: Survey and experimental evidence from a developing country. American Behavioral Scientist, 65(11), 1512-1530.
  • Bouchard Jr, T. J. (2004). Genetic influence on human psychological traits: A survey. Current Directions in Psychological Science, 13 (4), 148–151.
  • Brooks, B., Jarman, J., & Blackburn, R. M. (2003). Occupational gender segregation in Canada, 1981–1996: Overall, vertical and horizontal segregation. Canadian Review of Sociology/Revue canadienne de sociologie, 40 (2), 197–213.
  • Burks, S. V., Carpenter, J. P., Goette, L., & Rustichini, A. (2009). Cognitive skills affect economic preferences, strategic behavior, and job attachment. Proceedings of the National Academy of Sciences, 106(19), 7745-7750.
  • Busch, F. (2020). Gender segregation, occupational sorting, and growth of wage disparities between women. Demography, 57, 1063–1088.
  • Carbonaro, W. (2007). The effects of education and cognitive skill on earnings: How much do occupations and jobs matter?. Research in Social Stratification and Mobility, 25(1), 57-71.
  • Carlsson, M., Dahl, G. B., Öckert, B., & Rooth, D. O. (2015). The effect of schooling on cognitive skills. Review of Economics and Statistics, 97(3), 533-547.
  • Castellano, R., & Rocca, A. (2014). Gender gap and labour market participation: A composite indicator for the ranking of European countries. International Journal of Manpower, 35 (3), 345–367.
  • Cattell, R. B. (1963). Theory of fluid and crystallized intelligence: A critical experiment. Journal of Educational Psychology, 54(1), 1.
  • Cawley, J., Heckman, J., & Vytlacil, E. (2001). Three observations on wages and measured cognitive ability. Labour Economics, 8(4), 419-442.
  • Chafetz, J. S. (1988). The gender division of labor and the reproduction of female disadvantage: Toward an integrated theory. Journal of Family Issues, 9 (1), 108–131.
  • Chetty, R., Friedman, J. N., Hilger, N., Saez, E., Schanzenbach, D. W., & Yagan, D. (2011). How does your kindergarten classroom affect your earnings? Evidence from Project STAR. The Quarterly Journal of Economics, 126(4), 1593-1660.
  • Cobb-Clark, D. A., & Schurer, S. (2013). Two economists’ musings on the stability of locus of control. The Economic Journal, 123(570), F358-F400.
  • Collischon, M. (2019). Is there a glass ceiling over Germany? German Economic Review, 20 (4), e329–e359.
  • Correll, S. J., Benard, B., & Paik, I. (2007). Getting a job: Is there a motherhood penalty? American Journal of Sociology, 112 (5), 1297–1338.
  • Cukrowska-Torzewska, E., & Matysiak, A. (2020). The motherhood wage penalty: A meta-analysis. Social Science Research, 88, 102416.
  • Deary, I. J., Whalley, L. J., Lemmon, H., Crawford, J. R., & Starr, J. M. (2000). The stability of individual differences in mental ability from childhood to old age: Follow-up of the 1932 Scottish Mental Survey. Intelligence, 28(1), 49-55.
  • Downing, K., Chan, S. W., Downing, W. K., Kwong, T., & Lam, T. F. (2008). Measuring gender differences in cognitive functioning. Multicultural Education and Technology Journal, 2 (1), 4–18.
  • Falch, T., & Sandgren Massih, S. (2011). The effect of education on cognitive ability. Economic Inquiry, 49(3), 838-856.
  • Gedikli, C. (2020). Occupational gender segregation in Turkey: The vertical and horizontal dimensions. Journal of Family and Economic Issues, 41, 121–139.
  • Glewwe, P., Song, Y., & Zou, X. (2022). Labor market outcomes, cognitive skills, and noncognitive skills in rural China. Journal of Economic Behavior and Organization, 193, 294-311.
  • Hampf, F., Wiederhold, S.x, & Woessmann, L. (2017). Skills, earnings, and employment: exploring causality in the estimation of returns to skills. Large-scale Assessments in Education, 5, 1-30.
  • Hanushek, E. A., Schwerdt, G., Wiederhold, S., & Woessmann, L. (2017). Coping with change: International differences in the returns to skills. Economics Letters, 153, 15-19.
  • Hanushek, E. A., & Woessmann, L. (2008). The role of cognitive skills in economic development. Journal of Economic Literature, 46(3), 607-668.
  • Hanushek, E. A., & Woessmann, L. (2012). Do better schools lead to more growth? Cognitive skills, economic outcomes, and causation. Journal of Economic Growth, 17, 267-321.
  • Heckman, J. J., Stixrud, J., & Urzua, S. (2006). The effects of cognitive and noncognitive abilities on labor market outcomes and social behavior. Journal of Labor Economics, 24(3), 411-482.
  • Heckman, J., & Vytlacil, E. (2001). Identifying the role of cognitive ability in explaining the level of and change in the return to schooling. Review of Economics and Statistics, 83(1), 1-12.
  • Heineck, G., & Anger, S. (2010). The returns to cognitive abilities and personality traits in Germany. Labour Economics, 17(3), 535-546.
  • Hennecke, J. (2024). The independent woman—locus of control and female labor force participation. Review of Economics of the Household, 22(1), 329-357.
  • Holzer, H. J., & Lerman, R. I. (2015). Cognitive skills in the US labor market: For whom do they matter. Washington, DC: AIR-PIAAC.
  • Hyde, J. S. (2016). Sex and cognition: Gender and cognitive functions. Current Opinion in Neurobiology, 38, 53–56.
  • Hyde, J. S., & Linn, M. C. (1988). Gender differences in verbal ability: A meta- analysis. Psychological Bulletin, 104 (1), 53–69.
  • Hyde, J. S. (2005). The gender similarities hypothesis. American Psychologist, 60(6), 581.
  • International Labour Organization. (2011). Labour inspection in the English- and Dutch-speaking Caribbean: A comparative study. [PDF]. International Labour Organization.
  • https://www.ilo.org/sites/default/files/wcmsp5/groups/public/@americas/@ro-lima/@sro-port_of_spain/documents/presentation/wcms_304686.pdf
  • Iversen, T., & Rosenbluth, F. (2006). The political economy of gender: Explaining cross-national variation in the gender division of labor and the gender voting gap. American Journal of Political Science, 50 (1), 1–19.
  • Jones, H. E., & Conrad, H. S. (1933). The growth and decline of intelligence: A study of a homogeneous group between the ages of ten and sixty. Genetic Psychology Monographs, 13, 223–298.
  • Kan, K. J., Wicherts, J. M., Dolan, C. V., & van der Maas, H. L. (2013). On the nature and nurture of intelligence and specific cognitive abilities: The more heritable, the more culture dependent. Psychological Science, 24 (12), 2420–2428.
  • Kara, S., & Zimmermann, S. (2023). SOEPcompanion (Version 38) (SOEP Survey Paper No. 1261). German Institute for Economic Research (DIW Berlin). https://www.diw.de/documents/publikationen/73/diw_01.c.878559.de/diw_ssp1261.pdf
  • Kaufman, A. S., Kaufman, J. C., Liu, X., & Johnson, C. K. (2009). How do educational attainment and gender relate to fluid intelligence, crystallized intelligence, and academic skills at ages 22–90 years? Archives of Clinical Neuropsychology, 24 (2), 153–163.
  • Lang, F. R., Hahne, D., Gymbel, S., Schröpper, S., & Lutsch, K. (2005). Erfassung des kognitiven Leistungspotenzials und der “Big Five” mit Computer-Assisted-Personal-Interviewing (CAPI): zur Reliabilität und Validität zweier ultrakurzer Tests und des BFI-S. DIW Research Notes, 9, 2005.
  • Lang, F. R., Weiss, D., Stocker, A., & von Rosenbladt, B. (2007). Assessing cognitive capacities in computer-assisted survey research: Two ultra-short tests of intellectual ability in the German Socio-Economic Panel (SOEP). Journal of Contextual Economics–Schmollers Jahrbuch, 127(1), 183-191.
  • Lee, J. N., & Newhouse, D. (2013). Cognitive skills and youth labor market outcomes. World Bank.
  • Leuven, E., Oosterbeek, H., & Van Ophem, H. (2004). Explaining international differences in male skill wage differentials by differences in demand and supply of skill. The Economic Journal, 114(495), 466-486.
  • Lin, D., Lutter, R., & Ruhm, C. J. (2018). Cognitive performance and labour market outcomes. Labour Economics, 51, 121-135.
  • Lindberg, S. M., Hyde, J. S., Petersen, J. L., & Linn, M. C. (2010). New trends in gender and mathematics performance: A meta-analysis. Psychological Bulletin, 136 (6), 1123–1135.
  • Lindenberger, U., & Baltes, P. B. (1994). Aging and intelligence. In Encyclopedia of Human Intelligence (pp. 52-66). Macmillan.
  • Lindenberger, U., & Baltes, P. B. (1995). Kognitive Leistungsfähigkeit im hohen Alter: Erste Ergebnisse aus der Berliner Altersstudie. Zeitschrift für Psychologie, 203, 283-317.
  • Linn, M. C., & Petersen, A. C. (1985). Emergence and characterization of sex differences in spatial ability: A meta-analysis. Child Development, 56, 1479–1498.
  • Maccoby, E. E., & Jacklin, C. N. (1972). Sex differences in intellectual functioning. In Proceedings of the Invitational Conference on Testing Problems.
  • McArdle, J. J., Hamagami, F., Meredith, W., & Bradway, K. P. (2000). Modeling the dynamic hypotheses of Gf–Gc theory using longitudinal life-span data. Learning and Individual Differences, 12(1), 53-79.
  • Mohanty, M. S. (2010). Effects of positive attitude and optimism on employment: Evidence from the US data. The Journal of Socio-Economics, 39(2), 258–270.
  • Mundlak, Y. (1978). On the pooling of time series and cross section data. Econometrica, 46, 69–85.
  • Murnane, R. J., Willett, J. B., & Levy, F. (1995). The growing importance of cognitive skills in wage determination. The Review of Economics and Statistics, 77(2), 251.
  • Murphy, E., & Oesch, D. (2016). The feminization of occupations and change in wages: A panel analysis of Britain, Germany, and Switzerland. Social Forces, 94 (3), 1221–1255.
  • Nolte, H., Weischer, C., Wilkesmann, U., Maetzel, J., & Tegethoff, H. G. (1997). Kontrolleinstellungen zum Leben und zur Zukunft. Auswertung eines neuen,sozialpsychologischen Itemblocks im Soziooekonomischen Panel. RuhrUniversität Bochum: Diskussionspapiere aus der Fakultaet für Sozialwissenschaft.
  • Owens, W. A., Jr. (1953). Age and mental abilities: A longitudinal study. Genetic Psychology Monographs, 48, 3–54.
  • Plomin, R., Fulker, D. W., Corley, R., & DeFries, J. C. (1997). Nature, nurture, and cognitive development from 1 to 16 years: A parent-offspring adoption study. Psychological Science, 8 (6), 442–447.
  • Protsch, P., & Solga, H. (2015). How employers use signals of cognitive and noncognitive skills at labour market entry: Insights from field experiments. European Sociological Review, 31(5), 521-532.
  • Rotman, A., & Mandel, H. (2023). Gender-specific wage structure and the gender wage gap in the US labor market. Social Indicators Research, 165 (2), 585–606.
  • Rotter, J. B. (1996). Generalized expectancies for internal versus external control of reinforcement. Psychological Monographs: General and Applied, 80, 1-28.
  • Rönnlund, M., Sundström, A., & Nilsson, L. G. (2015). Interindividual differences in general cognitive ability from age 18 to age 65 years are extremely stable and strongly associated with working memory capacity. Intelligence, 53, 59-64.
  • Salthouse, T. A. (2004). What and when of cognitive aging. Current Directions in Psychological Science, 13(4), 140-144.
  • Schneeweis, N., Skirbekk, V., & Winter-Ebmer, R. (2014). Does Education Improve Cognitive Performance Four Decades After School Completion? Demography, 51(2), 619–643.
  • Segal, C. (2012). Working when no one is watching: Motivation, test scores, and economic success. Management Science, 58(8), 1438-1457.
  • Shields, S. (1975). Functionalism, Darwinism, and the psychology of women. American Psychologist, 30 (7), 739–754.
  • Smith, A. (1973). Symbol Digit Modalities Test (SDMT). APA PsycTests.
  • Spencer, S. J., Steele, C. M., & Quinn, D. M. (1999). Stereotype threat and women’s math performance. Journal of Experimental Social Psychology, 35 (1), 4–28.
  • Steinmayr, R., Beauducel, A., & Spinath, B. (2010). Do sex differences in a faceted model of fluid and crystallized intelligence depend on the method applied? Intelligence, 38 (1), 101–110.
  • Wechsler, S., de Cassia Nakano, T., da Silva Domingues, S. F., Rosa, H. R., da Silva, R. B. F., Silva-Filho, J. H., & Minervino, C. A. D. S. M. (2014). Gender differences on tests of crystallized intelligence. European Journal of Education and Psychology, 7 (1), 59–72.
  • Zamberlan, A., & Barbieri, P. (2023). A ‘potential motherhood’ penalty? A longitudinal analysis of the wage gap based on potential fertility in Germany and the United Kingdom. European Sociological Review, 39 (6), 920–934.
  • Zax, J. S., & Rees, D. I. (2002). IQ, academic performance, environment, and earnings. Review of Economics and Statistics, 84(4), 600-616.

Cognitive Skills and Employment Status: Is There a Gender Difference?

Yıl 2025, Cilt: 14 Sayı: 2, 291 - 321, 07.09.2025

Öz

This paper examines the gender differences in the association between cognitive skills and employment status. Using data from the Socio-Economic Panel (SOEP) spanning 2003–2019, we measure cognitive skills through the Symbol Digit Test (SDT), administered in three waves and assumed to be time-invariant. Our findings reveal a prominent and statistically significant positive relationship between cognitive skills and employment probability, with considerable gender disparities. In particular, the returns to cognitive skills are consistently higher for men. These results remain robust across different estimation methods and hold when considering both time-invariant and time-variant cognitive skills. We explore potential mechanisms driving these patterns, including social norms and individual heterogeneity.

Teşekkür

We are grateful to Alpaslan Akay, Bilge Eriş Dereli, Guido Neidhöfer, and Hüseyin Taştan for their valuable comments and suggestions. We also thank two anonymous reviewers for their helpful suggestions and comments.

Kaynakça

  • Almlund, M., Duckworth, A. L., Heckman, J., & Kautz, T. (2011). Personality psychology and economics. In Handbook of the Economics of Education (Vol. 4, pp. 1–181). Elsevier.
  • Anger, S., & Heineck, G. (2010). Cognitive abilities and earnings –first evidence for Germany. Applied Economics Letters, 17(7), 699–702.
  • Auspurg, K., Hinz, T., & Sauer, C. (2017). Why should women get less? Evidence on the gender pay gap from multifactorial survey experiments. American Sociological Review, 82 (1), 179–210.
  • Autor, D. H. (2014). Skills, education, and the rise of earnings inequality among the “other 99 percent.” Science, 344(6186), 843–851.
  • Baert, S., De Pauw, A. S., & Deschacht, N. (2016). Do employer preferences contribute to sticky floors? ILR Review, 69 (4), 714–736.
  • Bayley, N., & Oden, M. M. (1955). The maintenance of intellectual ability in gifted adults. Journal of Gerontology, 10, 91–107.
  • Bechichi, N., Grundke, R., Jamet, S., & Squicciarini, M. (2018), Moving between jobs: An analysis of occupation distances and skill needs, OECD Science, Technology and Industry Policy Papers, No. 52, OECD Publishing, Paris.
  • Bishop, J. H. (1989). Achievement, test scores and relative wages.
  • Blau, F. D., & Kahn, L. M. (1996). International differences in male wage inequality: institutions versus market forces. Journal of Political Economy, 104(4), 791-837.
  • Bonikowska, A., Green, D. A., & Riddell, W. C. (2008). Literacy and the labour market: Cognitive skills and immigrant earnings. Ottawa: Statistics Canada.
  • Bortolotti, S., Dohmen, T., Lehmann, H., Meyer, F., Pignatti, N., & Torosyan, K. (2021). Patience, cognitive abilities, and cognitive effort: Survey and experimental evidence from a developing country. American Behavioral Scientist, 65(11), 1512-1530.
  • Bouchard Jr, T. J. (2004). Genetic influence on human psychological traits: A survey. Current Directions in Psychological Science, 13 (4), 148–151.
  • Brooks, B., Jarman, J., & Blackburn, R. M. (2003). Occupational gender segregation in Canada, 1981–1996: Overall, vertical and horizontal segregation. Canadian Review of Sociology/Revue canadienne de sociologie, 40 (2), 197–213.
  • Burks, S. V., Carpenter, J. P., Goette, L., & Rustichini, A. (2009). Cognitive skills affect economic preferences, strategic behavior, and job attachment. Proceedings of the National Academy of Sciences, 106(19), 7745-7750.
  • Busch, F. (2020). Gender segregation, occupational sorting, and growth of wage disparities between women. Demography, 57, 1063–1088.
  • Carbonaro, W. (2007). The effects of education and cognitive skill on earnings: How much do occupations and jobs matter?. Research in Social Stratification and Mobility, 25(1), 57-71.
  • Carlsson, M., Dahl, G. B., Öckert, B., & Rooth, D. O. (2015). The effect of schooling on cognitive skills. Review of Economics and Statistics, 97(3), 533-547.
  • Castellano, R., & Rocca, A. (2014). Gender gap and labour market participation: A composite indicator for the ranking of European countries. International Journal of Manpower, 35 (3), 345–367.
  • Cattell, R. B. (1963). Theory of fluid and crystallized intelligence: A critical experiment. Journal of Educational Psychology, 54(1), 1.
  • Cawley, J., Heckman, J., & Vytlacil, E. (2001). Three observations on wages and measured cognitive ability. Labour Economics, 8(4), 419-442.
  • Chafetz, J. S. (1988). The gender division of labor and the reproduction of female disadvantage: Toward an integrated theory. Journal of Family Issues, 9 (1), 108–131.
  • Chetty, R., Friedman, J. N., Hilger, N., Saez, E., Schanzenbach, D. W., & Yagan, D. (2011). How does your kindergarten classroom affect your earnings? Evidence from Project STAR. The Quarterly Journal of Economics, 126(4), 1593-1660.
  • Cobb-Clark, D. A., & Schurer, S. (2013). Two economists’ musings on the stability of locus of control. The Economic Journal, 123(570), F358-F400.
  • Collischon, M. (2019). Is there a glass ceiling over Germany? German Economic Review, 20 (4), e329–e359.
  • Correll, S. J., Benard, B., & Paik, I. (2007). Getting a job: Is there a motherhood penalty? American Journal of Sociology, 112 (5), 1297–1338.
  • Cukrowska-Torzewska, E., & Matysiak, A. (2020). The motherhood wage penalty: A meta-analysis. Social Science Research, 88, 102416.
  • Deary, I. J., Whalley, L. J., Lemmon, H., Crawford, J. R., & Starr, J. M. (2000). The stability of individual differences in mental ability from childhood to old age: Follow-up of the 1932 Scottish Mental Survey. Intelligence, 28(1), 49-55.
  • Downing, K., Chan, S. W., Downing, W. K., Kwong, T., & Lam, T. F. (2008). Measuring gender differences in cognitive functioning. Multicultural Education and Technology Journal, 2 (1), 4–18.
  • Falch, T., & Sandgren Massih, S. (2011). The effect of education on cognitive ability. Economic Inquiry, 49(3), 838-856.
  • Gedikli, C. (2020). Occupational gender segregation in Turkey: The vertical and horizontal dimensions. Journal of Family and Economic Issues, 41, 121–139.
  • Glewwe, P., Song, Y., & Zou, X. (2022). Labor market outcomes, cognitive skills, and noncognitive skills in rural China. Journal of Economic Behavior and Organization, 193, 294-311.
  • Hampf, F., Wiederhold, S.x, & Woessmann, L. (2017). Skills, earnings, and employment: exploring causality in the estimation of returns to skills. Large-scale Assessments in Education, 5, 1-30.
  • Hanushek, E. A., Schwerdt, G., Wiederhold, S., & Woessmann, L. (2017). Coping with change: International differences in the returns to skills. Economics Letters, 153, 15-19.
  • Hanushek, E. A., & Woessmann, L. (2008). The role of cognitive skills in economic development. Journal of Economic Literature, 46(3), 607-668.
  • Hanushek, E. A., & Woessmann, L. (2012). Do better schools lead to more growth? Cognitive skills, economic outcomes, and causation. Journal of Economic Growth, 17, 267-321.
  • Heckman, J. J., Stixrud, J., & Urzua, S. (2006). The effects of cognitive and noncognitive abilities on labor market outcomes and social behavior. Journal of Labor Economics, 24(3), 411-482.
  • Heckman, J., & Vytlacil, E. (2001). Identifying the role of cognitive ability in explaining the level of and change in the return to schooling. Review of Economics and Statistics, 83(1), 1-12.
  • Heineck, G., & Anger, S. (2010). The returns to cognitive abilities and personality traits in Germany. Labour Economics, 17(3), 535-546.
  • Hennecke, J. (2024). The independent woman—locus of control and female labor force participation. Review of Economics of the Household, 22(1), 329-357.
  • Holzer, H. J., & Lerman, R. I. (2015). Cognitive skills in the US labor market: For whom do they matter. Washington, DC: AIR-PIAAC.
  • Hyde, J. S. (2016). Sex and cognition: Gender and cognitive functions. Current Opinion in Neurobiology, 38, 53–56.
  • Hyde, J. S., & Linn, M. C. (1988). Gender differences in verbal ability: A meta- analysis. Psychological Bulletin, 104 (1), 53–69.
  • Hyde, J. S. (2005). The gender similarities hypothesis. American Psychologist, 60(6), 581.
  • International Labour Organization. (2011). Labour inspection in the English- and Dutch-speaking Caribbean: A comparative study. [PDF]. International Labour Organization.
  • https://www.ilo.org/sites/default/files/wcmsp5/groups/public/@americas/@ro-lima/@sro-port_of_spain/documents/presentation/wcms_304686.pdf
  • Iversen, T., & Rosenbluth, F. (2006). The political economy of gender: Explaining cross-national variation in the gender division of labor and the gender voting gap. American Journal of Political Science, 50 (1), 1–19.
  • Jones, H. E., & Conrad, H. S. (1933). The growth and decline of intelligence: A study of a homogeneous group between the ages of ten and sixty. Genetic Psychology Monographs, 13, 223–298.
  • Kan, K. J., Wicherts, J. M., Dolan, C. V., & van der Maas, H. L. (2013). On the nature and nurture of intelligence and specific cognitive abilities: The more heritable, the more culture dependent. Psychological Science, 24 (12), 2420–2428.
  • Kara, S., & Zimmermann, S. (2023). SOEPcompanion (Version 38) (SOEP Survey Paper No. 1261). German Institute for Economic Research (DIW Berlin). https://www.diw.de/documents/publikationen/73/diw_01.c.878559.de/diw_ssp1261.pdf
  • Kaufman, A. S., Kaufman, J. C., Liu, X., & Johnson, C. K. (2009). How do educational attainment and gender relate to fluid intelligence, crystallized intelligence, and academic skills at ages 22–90 years? Archives of Clinical Neuropsychology, 24 (2), 153–163.
  • Lang, F. R., Hahne, D., Gymbel, S., Schröpper, S., & Lutsch, K. (2005). Erfassung des kognitiven Leistungspotenzials und der “Big Five” mit Computer-Assisted-Personal-Interviewing (CAPI): zur Reliabilität und Validität zweier ultrakurzer Tests und des BFI-S. DIW Research Notes, 9, 2005.
  • Lang, F. R., Weiss, D., Stocker, A., & von Rosenbladt, B. (2007). Assessing cognitive capacities in computer-assisted survey research: Two ultra-short tests of intellectual ability in the German Socio-Economic Panel (SOEP). Journal of Contextual Economics–Schmollers Jahrbuch, 127(1), 183-191.
  • Lee, J. N., & Newhouse, D. (2013). Cognitive skills and youth labor market outcomes. World Bank.
  • Leuven, E., Oosterbeek, H., & Van Ophem, H. (2004). Explaining international differences in male skill wage differentials by differences in demand and supply of skill. The Economic Journal, 114(495), 466-486.
  • Lin, D., Lutter, R., & Ruhm, C. J. (2018). Cognitive performance and labour market outcomes. Labour Economics, 51, 121-135.
  • Lindberg, S. M., Hyde, J. S., Petersen, J. L., & Linn, M. C. (2010). New trends in gender and mathematics performance: A meta-analysis. Psychological Bulletin, 136 (6), 1123–1135.
  • Lindenberger, U., & Baltes, P. B. (1994). Aging and intelligence. In Encyclopedia of Human Intelligence (pp. 52-66). Macmillan.
  • Lindenberger, U., & Baltes, P. B. (1995). Kognitive Leistungsfähigkeit im hohen Alter: Erste Ergebnisse aus der Berliner Altersstudie. Zeitschrift für Psychologie, 203, 283-317.
  • Linn, M. C., & Petersen, A. C. (1985). Emergence and characterization of sex differences in spatial ability: A meta-analysis. Child Development, 56, 1479–1498.
  • Maccoby, E. E., & Jacklin, C. N. (1972). Sex differences in intellectual functioning. In Proceedings of the Invitational Conference on Testing Problems.
  • McArdle, J. J., Hamagami, F., Meredith, W., & Bradway, K. P. (2000). Modeling the dynamic hypotheses of Gf–Gc theory using longitudinal life-span data. Learning and Individual Differences, 12(1), 53-79.
  • Mohanty, M. S. (2010). Effects of positive attitude and optimism on employment: Evidence from the US data. The Journal of Socio-Economics, 39(2), 258–270.
  • Mundlak, Y. (1978). On the pooling of time series and cross section data. Econometrica, 46, 69–85.
  • Murnane, R. J., Willett, J. B., & Levy, F. (1995). The growing importance of cognitive skills in wage determination. The Review of Economics and Statistics, 77(2), 251.
  • Murphy, E., & Oesch, D. (2016). The feminization of occupations and change in wages: A panel analysis of Britain, Germany, and Switzerland. Social Forces, 94 (3), 1221–1255.
  • Nolte, H., Weischer, C., Wilkesmann, U., Maetzel, J., & Tegethoff, H. G. (1997). Kontrolleinstellungen zum Leben und zur Zukunft. Auswertung eines neuen,sozialpsychologischen Itemblocks im Soziooekonomischen Panel. RuhrUniversität Bochum: Diskussionspapiere aus der Fakultaet für Sozialwissenschaft.
  • Owens, W. A., Jr. (1953). Age and mental abilities: A longitudinal study. Genetic Psychology Monographs, 48, 3–54.
  • Plomin, R., Fulker, D. W., Corley, R., & DeFries, J. C. (1997). Nature, nurture, and cognitive development from 1 to 16 years: A parent-offspring adoption study. Psychological Science, 8 (6), 442–447.
  • Protsch, P., & Solga, H. (2015). How employers use signals of cognitive and noncognitive skills at labour market entry: Insights from field experiments. European Sociological Review, 31(5), 521-532.
  • Rotman, A., & Mandel, H. (2023). Gender-specific wage structure and the gender wage gap in the US labor market. Social Indicators Research, 165 (2), 585–606.
  • Rotter, J. B. (1996). Generalized expectancies for internal versus external control of reinforcement. Psychological Monographs: General and Applied, 80, 1-28.
  • Rönnlund, M., Sundström, A., & Nilsson, L. G. (2015). Interindividual differences in general cognitive ability from age 18 to age 65 years are extremely stable and strongly associated with working memory capacity. Intelligence, 53, 59-64.
  • Salthouse, T. A. (2004). What and when of cognitive aging. Current Directions in Psychological Science, 13(4), 140-144.
  • Schneeweis, N., Skirbekk, V., & Winter-Ebmer, R. (2014). Does Education Improve Cognitive Performance Four Decades After School Completion? Demography, 51(2), 619–643.
  • Segal, C. (2012). Working when no one is watching: Motivation, test scores, and economic success. Management Science, 58(8), 1438-1457.
  • Shields, S. (1975). Functionalism, Darwinism, and the psychology of women. American Psychologist, 30 (7), 739–754.
  • Smith, A. (1973). Symbol Digit Modalities Test (SDMT). APA PsycTests.
  • Spencer, S. J., Steele, C. M., & Quinn, D. M. (1999). Stereotype threat and women’s math performance. Journal of Experimental Social Psychology, 35 (1), 4–28.
  • Steinmayr, R., Beauducel, A., & Spinath, B. (2010). Do sex differences in a faceted model of fluid and crystallized intelligence depend on the method applied? Intelligence, 38 (1), 101–110.
  • Wechsler, S., de Cassia Nakano, T., da Silva Domingues, S. F., Rosa, H. R., da Silva, R. B. F., Silva-Filho, J. H., & Minervino, C. A. D. S. M. (2014). Gender differences on tests of crystallized intelligence. European Journal of Education and Psychology, 7 (1), 59–72.
  • Zamberlan, A., & Barbieri, P. (2023). A ‘potential motherhood’ penalty? A longitudinal analysis of the wage gap based on potential fertility in Germany and the United Kingdom. European Sociological Review, 39 (6), 920–934.
  • Zax, J. S., & Rees, D. I. (2002). IQ, academic performance, environment, and earnings. Review of Economics and Statistics, 84(4), 600-616.
Toplam 82 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Panel Veri Analizi , Uygulamalı Mikro Ekonometri, İstihdam
Bölüm Araştırma Makaleleri
Yazarlar

Nur Banu Kartal 0000-0001-7022-8682

Tolga Aksoy 0000-0003-0833-8543

Yayımlanma Tarihi 7 Eylül 2025
Gönderilme Tarihi 21 Şubat 2025
Kabul Tarihi 27 Haziran 2025
Yayımlandığı Sayı Yıl 2025 Cilt: 14 Sayı: 2

Kaynak Göster

APA Kartal, N. B., & Aksoy, T. (2025). Cognitive Skills and Employment Status: Is There a Gender Difference? Ekonomi-tek, 14(2), 291-321.