My research field is applied microeconomics, in particular labour economics (worker productivity, wages, coworker peer effects), the economics of education (early childhood programmes and child development), and health and family economics (parental and child health outcomes).
Topics I currently work on include:
Knowledge Spillover, Competition, and Individual Careers (with Christian Dustmann and Uta Schönberg)
The Effects of Business Taxation on Local Labor Markets (with Mimosa Distefano, Christian Dustmann , Uta Schönberg)
German Firms’ Responses to Trade Shocks from the East (with Marco Francesconi and Bin Yu)
Culture and Educational Success (with Thang Dang)
Cornelissen, T., and T. Dang (2022). The multigenerational impacts of educational expansion: Evidence from Vietnam, Labour Economics, 78.
Cornelissen, T., and C. Dustmann (2019): Early School Exposure, Test Scores, and Noncognitive Outcomes, American Economic Journal: Economic Policy, 11(2), 35–63. (CReAM Discussion Paper / VOX Column / VOX Talk / Press Release / UoY News / The Times / The Independent / Tes / Tagesspiegel)
Cornelissen, T., Dustmann, C., Raute A., and U. Schönberg (2018): Who benefits from universal child care? Estimating marginal returns to early child care attendance, Journal of Political Economy, 126(6), 2356–2409. (CReAM Discussion Paper / VOX Column / UoY News / UCL News / FAZ / WAZ / inews / Libération)
Sandner, M., Cornelissen, T., Jungmann, T. and P. Herrmann (2018): Evaluating the Effects of a Targeted Home Visiting Program on Maternal and Child Health Outcomes, Journal of Health Economics, 58, 269-283.
Beckmann, M., Cornelissen, T., and M. Kräkel (2017): Self-managed working time and employee effort: Theory and evidence, Journal of Economic Behavior & Organization, 133, 285-302.
Cornelissen, T. (2016): Do social interactions in the workplace lead to productivity spillover among co-workers?, IZA World of Labor, 314.
Cornelissen, T., Dustmann, C., Raute, A, and U. Schönberg (2016): From LATE to MTE: Alternative Methods for the Evaluation of Policy Interventions, Labour Economics, 41, 47-60.
Cornelissen, T., Heywood, J. and U. Jirjahn (2014): Reciprocity and Profit Sharing: Is There an Inverse U-shaped Relationship?, Journal of Labor Research, 35(2), 205-225.
Cornelissen, T., Himmler, O. and T. König (2013): Fairness Spillovers - The Case of Taxation, Journal of Economic Behavior & Organization, 90, 164-180.
Cornelissen, T. and U. Jirjahn (2012): Religion and earnings: Is it good to be an atheist with religious parental background?, Economics Letters, 117(3), 905–908.
Cornelissen, T. and U. Jirjahn (2012): September 11th and the Earnings of Muslims in Germany - The Moderating Role of Education and Firm Size, Journal of Economic Behavior & Organization, 81(2), 490–504.
Cornelißen, T. and O. Hübler (2011): Unobserved individual and firm heterogeneity in wage and job duration functions: Evidence from German linked employer-employee data, German Economic Review, 12(4), 469–489.
Cornelissen, T., Heywood, J. and U. Jirjahn (2011): Performance Pay, Risk Attitudes and Job Satisfaction, Labour Economics, 18(2), 229-239.
Cornelißen, T., Himmler, O. and T. König (2011): Perceived Unfairness in CEO Compensation and Work Morale, Economics Letters, 110(1), 45-48.
Cornelißen, T. and C. Pfeifer (2010): The Impact of Participation in Sports on Educational Attainment – New Evidence from Germany, Economics of Education Review, 29(1), 94-103.
Cornelißen, T. and K. Sonderhof (2009): Partial effects in probit and logit models with a triple dummy variable interaction term, The Stata Journal, 9(4), 571-583.
Cornelißen, T. (2009): The Interaction of Job Satisfaction, Job Search, and Job Changes. An Empirical Investigation with German Panel Data, Journal of Happiness Studies, 10(3), 367-384.
Cornelissen, T., U. Jirjahn and G. Tsertsvadze (2008): Parental Background and Earnings: German Evidence on Direct and Indirect Relationships, Jahrbücher für Nationalökonomie und Statistik (Journal of Economics and Statistics), 228, 554-572.
Bellmann, L., T. Cornelißen, O. Hübler, and A. Pahnke (2008): Betriebliche Reorganisation, Entlohnung und Beschäftigungsstabilität (Organisational change, wages and job stability), Zeitschrift für Arbeitsmarktforschung (Journal for Labour Market Research), 41(2/3), 259-285.
Cornelißen, T., and C. Pfeifer (2008): Sport und Arbeitseinkommen - Individuelle Ertragsraten von Sportaktivitäten in Deutschland, Jahrbuch für Wirtschaftswissenschaften (Review of Economics), 59(3), 244-255.
Cornelissen, T. (2008): The stata module felsdvreg to estimate a linear model with two high-dimensional fixed effects, The Stata Journal, 8(2), 170-189.
Cornelißen, T. and O. Hübler (2007): Downward wage rigidity and job mobility, Empirical Economics, 34(2), 205-230.
Working Papers and Other Publications:
Beckmann, M., T. Cornelissen and B. Schauenberg (2009), Fixed-term Employment, Work Organization and Job Satisfaction: Evidence from German Individual-Level Data, Working papers 1333, Faculty of Business and Economics - University of Basel.
Cornelißen, T. and C. Pfeifer (2008): Der Einfluss des Jugendsports auf den Bildungs- und Arbeitsmarkterfolg, in: Arne Göring (Ed.), Quo vadis Hochschulsport? Im Wandel von Hochschule und Gesellschaft, Hochschulsport: Bildung und Wissenschaft Band 2, Universitätsverlag Göttingen.
Cornelißen, T. (2007): Labour Market Institutions and Perceived Job Security in Europe, Flexicurity Paper 2007/07 (Budapest, Subregional Office for Central and Eastern Europe, ILO).
Cornelißen, T. (2005): Standard errors of marginal effects in the heteroskedastic probit model, Leibniz Universität Hannover Discussion Paper No. 320.
The following items are statistical software components for Stata. To install them, type "net search" followed by the name of the programme into the Stata command line.
felsdvreg (Stata module for a memory saving fixed effects estimation of a linear model with two high-dimensional fixed-effects). My programme is user-friendly, provides standard errors, and useful additional summary statistics, but it is not the most efficient for very large computational problems. For large problems you may want to try out reghdfe (Sergio Correia), a2reg (Amine Ouazad), gpreg (Johannes Schmieder), reg2hdfe (Paulo Guimaraes), and twfe (Nikolas Mittag) in Stata, or lfe (Simen Gaure) in R. Of these, reghdfe in Stata seems to be the most versatile, allowing for more than two high-dimensional FE, as does lfe in R.
inteff3 (Stata module to compute marginal effects in the probit model with a triple dummy variable interaction term)
meoprobit (Stata module to compute marginal effects at means and their standard errors after the estimation of an ordered probit model)
mehetprob (Stata module to compute marginal effects at means and their standard errors in the heteroskedastic probit model)