American Economic Review, Annals of Applied Statistics, Annales d'Economie et de Statistique, Acta Sociologica, Asian Development Review, B.E. Journals of Economic Analysis & Policy, CESifo Economic Studies, Communications in Statistics, Comparative Economic Studies, Computational Statistics and Data Analysis, Econometrics, Economic Journal, Economica, Economics Letters, Economic Modelling, Economics of Education Review, Economics of Transition, Empirical Economics, Entropy, European Economic Review, European Journal of Higher Education, European Sociological Review, Forum for Health Economics & Policy, German Economic Review, Health Economics, Industrial Relations, International Economic Review, International Journal of Manpower, International Review of Applied Economics, International Review of Economics and Finance, International Review of Social Research, International Tax and Public Finance, Jahrbücher für Nationalökonomie und Statistik, Journal for Educational Measurement, Journal for Labour Market Research, Journal of Applied Econometrics, Journal of Applied Social Science Studies, Journal of Business Economics/Zeitschrift für Betriebswirtschaft, Journal of Business and Economic Statistics, Journal of Economic Behaviour and Organization, Journal of Economic Development and Cultural Change, Journal of Economic Dynamics and Control, Journal of Economic Inequality, Journal of European Social Policy, Journal of Family and Economic Issues, Journal of the Economics of Ageing, Journal of the German Statistical Association, Journal of Income Distribution, Journal of Labor Economics, Journal of Official Statistics, Journal of Policy Analysis and Management, Journal of Population Economics, Journal of Public Economics, Journal of the Royal Statistical Society, LABOUR, Labour Economics, Mathematics, Oxford Bulletin of Economics and Statistics, Oxford Economic Papers, Pakistan Journal of Statistics, PLOS ONE, Research in Social Stratification and Mobility, Review of Economic Studies, Review of Economics of the Household, Review of Income and Wealth, Review for Regional Studies, Social Forces, Societies, Sociological Methods & Research, Southern Economic Journal, Swiss Journal of Economics and Statistics, Zeitschrift für Erziehungswissenschaft

Alexander von Humboldt Stiftung, Deutsche Forschungsgemeinschaft (DFG), European Society for Population Economics, Fond National de la Recherche Luxembourg, Fritz Thyssen Stiftung, Integrated Research Infrastructure in the Socio-Economic Sciences (IRISS, CEPS-INSTEAD), Jahrestagung des Vereins für Socialpolitik, National Science Center Poland, National Science Foundation, New Opportunities for Research Funding Agency Co-operation in Europe (NORFACE), Council for Fundamental Scientific Education Research (PROO) Netherlands, Social Sciences and Humanities Research Council of Canada, Studienstiftung des deutschen Volkes

Income Distribution

Labor Economics

Education Economics
LEAD Graduate School & Research Network

Machine Learning
Cluster of Excellence - Machine Learning for Science

Microeconometrics

Biewen, M., M. Sturm (2022): Why a labour market boom does not necessarily bring down inequality: Putting together Germany's inequality puzzle, Fiscal Studies, Vol. 43, 121-149

Biewen, M., J. Schwerter (2022): Does more math and natural sciences in high school increase the share of female STEM workers? Evidence from a curriculum reform, Applied Economics, Vol. 54, 1889-1911

Biewen, M., P. Erhardt (2021): arhomme: A Stata implementation of the Arellano/Bonhomme (2017) estimator for quantile regression with selection correction, Stata Journal, Vol. 21, pp. 602-625.

Biewen, M., P. Kugler (2021): Two-stage least squares random forests with an application to Angrist and Evans (1998), Economics Letters, Vol. 204, 109893, longer version here

Savage, C., A. Ayaita, N. Hübner, M. Biewen (2021): Who Chooses Teacher Education and Why? Evidence from Germany. Educational Researcher, press release here, Spiegel Online press coverage here

Savage, C., Hübner, N., Biewen, M., Nagengast, B., & Polikoff, M. S. (2021): Social studies textbook effects: Evidence from Texas. AERA Open, Vol. 7, pp 1-9

Biewen, M., B. Fitzenberger, M. Seckler (2020): Counterfactual quantile decompositions with selection correction taking into account Huber/Melly (2015):  An application to the German gender wage gap, Labour Economics, Vol. 66, 101927

Biewen, M., M. Thiele (2020): Early tracking, academic vs. vocational training, and the value of `second-chance' options, Labour Economics, Vol. 66, 101900

Biewen, M., M. Seckler (2019): Unions, Internationalization, Tasks, Firms, and Worker Characteristics: A Detailed Decomposition Analysis of Rising Wage Inequality in Germany, Journal of Economic Inequality, Vol. 17, pp. 461-498

Biewen, M., M. Ungerer, M. Löffler (2019): Why did income inequality in Germany not increase further after 2005?, German Economic Review, Vol. 20, pp. 471-504.

Biewen, M., D. Plötze (2019): The role of hours changes for the increase in German earnings inequality, Journal of Economics and Statistics, Vol. 239, pp. 1-28.

Biewen, M., B. Fitzenberger, J. DeLazzer (2018): The Role of Employment Interruptions and Part-time Work for the Rise in Wage Inequality, IZA Journal of Labor Economics, Vol. 7, pp. 1-34.

Biewen, M., E. Flachaire (2018): Editorial Econometrics and Income Inequality, Econometrics, Vol. 6, doi:10.3390/econometrics6040042

Biewen, M., S. Seifert (2018): Potential Parenthood and Career Progression of Men and Women: A Simultaneous Hazards Approach, B.E. Journal of Economic Analysis and Policy, Vol. 18, pp. 1-22.

Biewen, M., R. Happ, S. Schmidt, O. Zlatkin-Troitschanskaia (2018): Knowledge growth, academic beliefs and motivation of students in business and economics - A longitudinal German case study, Higher Education Studies, Vol. 8, pp. 9-28.

Biewen, M., A. Juhasz (2017): Direct Estimation of Equivalence Scales and More Evidence on Independence of Base, Oxford Bulletin of Economics and Statistics, Vol. 79, pp. 875-905.

Biewen, M., Tapalaga, M. (2017): Life-cycle educational choices in a system with early tracking and `second chance' options, Economics of Education Review, Vol. 56, pp. 80-94, previous version with further results here.

Biewen, M. (2014): Poverty Persistence and Poverty Dynamics, IZA World of Labor, Vol. 103, pp. 1-10.

Biewen, M., B. Fitzenberger, A. Osikominu und M. Waller (2014): The Effectiveness of Public Sponsored Training Revisited: The Importance of Data and Methodological Choices, Journal of Labor Economics, Vol. 32, pp. 837-897.

Biewen, M. (2014): A General Decomposition Formula with Interaction Effects, Applied Economics Letters, Vol. 21, pp. 636-642. Longer version here.

Biewen, M., C. Weiser (2014): An Empirical Test of Marginal Productivity Theory, Applied Economics, Vol. 46, pp. 996-1020.

Biewen, M., A. Juhasz (2012): Understanding Rising Inequality in Germany, 1999/2000 - 2005/06, Review of Income and Wealth, Vol. 58, pp. 62-647.

Biewen, M., A. Juhasz (2011): Can Employment Changes Explain Rising Inequality in Germany?, Journal of Applied Social Science Studies, Vol. 131, pp. 349-357.

Biewen, M., S. Steffes (2010): Unemployment persistence: Is there evidence for stigma effects?, Economics Letters, Vol. 106, pp. 188-190.

Biewen, M. (2009): Measuring state dependence in individual poverty histories when there is feedback to employment status and household composition, Journal of Applied Econometrics, Vol. 24, pp. 1095–1116.

Biewen, M., B. Fitzenberger, A. Osikominu, R. Völter, M. Waller (2006): Beschäftigungseffekte ausgewählter Maßnahmen der beruflichen Weiterbildung in Deutschland: Eine Bestandsaufnahme, Journal for Labour Market Research, Vol. 39, pp. 365–390.

Biewen, M., S.P. Jenkins (2006): Estimation of Generalized Entropy and Atkinson Inequality Indices from Complex Survey Data, Oxford Bulletin of Economics and Statistics, Vol. 68, pp. 371–383. For Stata survey estimation command, type in Stata "ssc install svygei_svyatk, replace".

Biewen, M. (2006): Who are the Chronic Poor? An Econometric Analysis of Chronic Poverty in Germany, Research on Economic Inequality, Vol. 13, pp. 31–62.

Biewen, M. (2005): The Covariance Structure of East and West German Incomes and its Implications for the Persistence of Poverty and Inequality, German Economic Review, Vol. 6, pp. 445–469.

Biewen, M., R. Wilke (2005): Unemployment duration and the length of entitlement periods for unemployment benefits: do the IAB employment subsample and the German Socio-Economic Panel yield the same results?, Journal of the German Statistical Society, Vol. 88, pp. 209–236.

Biewen, M., S.P. Jenkins (2005): A Framework for the Decomposition of Poverty Differences with an Application to Poverty Differences between Countries, Empirical Economics, Vol. 30, pp. 331–358

Biewen, M. (2002): Bootstrap inference for inequality, mobility and poverty measurement, Journal of Econometrics, Vol. 108, pp. 317–342. Some Stata code here.

Biewen, M. (2002): Measuring Inequality in the Presence of Intra-Household Correlation, Applied Economics Letters, Vol. 9, pp. 1003–1006.

Biewen, M. (2001): Item-Nonresponse and Inequality Measurement: Evidence from the German Earnings Distribution, Journal of the German Statistical Society, Vol. 85, pp. 409–425.

Biewen, M. (2001): Unemployment, Retirement, Female Labor Market Participation and Income Inequality: A Decomposition Analysis for Germany, Journal of Applied Social Science Studies, Vol. 121, pp. 59–82.

Biewen, M. (2001): Measuring the Effects of Socio-Economic Variables on the Income Distribution: An Application to the East German Transition Process, Review of Economics and Statistics, Vol. 83, pp. 185–190.

Biewen, M. (2000): Income inequality in Germany during the 1980s and 1990s, Review of Income and Wealth, Vol. 46, pp. 1–20.

Biewen, M. (1999): Inequality trends in the German income distribution, Vierteljahrshefte zur Wirtschaftsforschung, Vol. 68, pp. 275–283.

Biewen, M. R. Kleimann, A. Peichl et al. (2021): Analyse der Verteilung von Einkommen und Vermögen in Deutschland, Gutachten für das Bundesministerium für Arbeit und Soziales für den 6. Armuts- und Reichtumsbericht der Bundesregierung, press release here

Boockmann, B., R. Pollak, H. Bonin, L. Bellani, M. Biewen (2021): Aktuelle und vergangene Entwicklungen Sozialer Mobilität im Lichte institutioneller und struktureller Rahmenbedingungen, Gutachten für das Bundesministerium für Arbeit und Soziales für den 6. Armuts- und Reichtumsbericht der Bundesregierung

Biewen, M. B. Boockmann, A. Peichl et al. (2016): Analyse der Verteilung von Einkommen und Vermögen in Deutschland, Gutachten für das Bundesministerium für Arbeit und Soziales für den 5. Armuts- und Reichtumsbericht der Bundesregierung

Boockmann, B., Biewen, M., S. Hillmert et al. (2016): Aktuelle Entwicklungen der sozialen Mobilität und der Dynamik von Armutsrisiken in Deutschland, Gutachten für das Bundesministerium für Arbeit und Soziales für den 5. Armuts- und Reichtumsbericht der Bundesregierung

Arndt, C., Biewen, M., B. Boockmann, M. Rosenmann et al. (2013): Aktualisierung der Berichterstattung über die Verteilung von Einkommen und Vermögen in Deutschland für den 4. Armuts- und Reichtumsbericht der Bundesregierung, Gutachten für das Bundesministerium für Arbeit und Soziales

Bender, S., B. Fitzenberger, M. Lechner, M. Biewen, R. Miquel, A. Osikominu, M. Waller, C. Wunsch (2005): Die Beschäftigungswirkung der FbW-Maßnahmen 2000 – 2002 auf individueller Ebene: Eine Evaluation auf Basis der prozessproduzierten Daten des IAB, Forschungsprojekt 6-531.1A, Institut für Arbeitsmarkt- und Berufsforschung der Bundesagentur für Arbeit, Nürnberg

Biewen, M. (2013): Official PowerPoint slides for Jeffrey M. Wooldridge: Introductory Econometrics, A Modern Approach, 5th edition, Cengage Learning, South-Western

Biewen, M. (2011): Koreferat zu "Mindestlöhne, Lohnsubventionen und Einkommenssicherung im Wohlfahrtsstaat, in: Umverteilung und Soziale Gerechtigkeit, Wirtschaftswissenschaftliches Seminar Ottobeuren, Mohr Siebeck, Tübingen

Biewen, M. (2008): State dependence and feedback effects in individual poverty histories, Proceedings of the 9th Iranian Statistical Conference, Department of Statistics, University of Isfahan

Biewen, M. (2008): Arbeitsmarktpolitik auf dem Prüfstand, Natur & Geist, Forschungsmagazin der Johannes Gutenberg-Universität Mainz, 24. Jahrgang, S. 44 – 48

Biewen, M. (2005): Cross-sectional vs. longitudinal views: econometric models of low income and low income dynamics in Germany, Habilitations­schrift, Universität Mannheim

Biewen, M. und B. Fitzenberger (2004): Neuausrichtung der Förderung beruflicher Weiterbildung, in: Hagen, T. und A. Spermann (Hrsg.): Hartz-Gesetze – Methodische Ansätze zu einer Evaluierung, ZEW Wirtschaftsanalysen, Bd. 74, Baden-Baden, pp. 190 – 202

Biewen, M. (2003): Handbook on Inequality Measurement (Book Review), Journal of Deve­lopment Economics, Vol. 70, pp. 543 – 548

Biewen, M. und S.P. Jenkins (2001): Who is most likely to be poor in Germany, in: Becker I., Ott N., und Rolf-Engel, G. (Hrsg.): Soziale Sicherung in einer dynamischen Gesellschaft, Frankfurt a. M., pp. 440 – 462

Biewen, M. (2000): Contributions to the measurement of German income inequality, Dissertation, Universität Heidelberg

Biewen, M., B. Fitzenberger, M. Rümmele (2022): Using distribution regression difference-in-differences to evaluate the effects of a minimum wage introduction on the distribution of hourly wages and hours worked

Biewen, M., S. Glaisner, R. Kleimann (2022): A convenient representation of the wealth distribution and more evidence on homeownership and wealth inequality in Euro Area Countries

Biewen, M., M. Sturm (2021): Why a labour market boom does not necessarily bring down inequality: Putting together Germany's inequality puzzle

Biewen, M., M. Sturm, R. Kleimann et al. (2021): Forschungsprojekt "Analyse der Einkommens- und Vermögensverteilung für den sechsten Armuts- und Reichtumsbericht", Folien für das Zweite Symposium zum Sechsten Armuts- und Reichtumsbericht der Bundesregierung, BMAS, 28. Januar 2020, zugehöriges Gesamtgutachten

Boockmann, B., R. Pollak, H. Bonin, L. Bellani, M. Biewen et al. (2021): Forschungsprojekt "Aktuelle und vergangene Entwicklungen sozialer Mobilität im Lichte institutioneller und struktureller Rahmenbedingungen", Folien für das Zweite Symposium zum Sechsten Armuts- und Reichtumsbericht der Bundesregierung, BMAS, 28. Januar 2020, zugehöriges Gesamtgutachten

Biewen, M., J. Schwerter (2021): Does more math and natural sciences in high school increase the share of female STEM workers? Evidence from a curriculum reform

Biewen, M., P. Erhardt (2020): arhomme: A Stata implementation of the Arellano/Bonhomme (2017) estimator for quantile regression with selection correction

Biewen, M., P. Kugler (2020): Two-Stage Least Squares Random Forests with an Application to Angrist and Evans (1998)

Biewen, M., B. Fitzenberger, M. Seckler (2019): Counterfactual quantile decompositions with selection correction taking into account Huber/Melly (2015): An application to the German gender wage gap

Biewen, M., M. Tapalaga (2019): Early tracking, vocational vs. academic training, and the value of `second chance' options

If you use one of the following programs, please cite the corresponding paper. Disclaimer: I am not responsible for any wrong results produced by these programs.

Biewen/Kugler (2021)

R implementation of two-stage least squares random forests tsls_forest_source.zip. More explanations on github.

Biewen/Erhardt (2020)

arhomme: A Stata implementation of the Arellano/Bonhomme (2017) estimator for quantile regression with selection correction. In order to install the ado, please type in Stata: search arhomme. This version requires Stata 16 or higher. If you need a version that works for Stata 15, install manually arhomme for stata 15.zip.

Presentation at Swiss Stata Conference 2020 [biewen_erhardt.ppt]

Biewen/Jenkins (2006)

Complex survey variance estimates for Generalized Entropy and Atkinson inequality indices. In order to install these ado-files, type in Stata: search svygei_svyatk

Presentation at German Stata User Group Meeting 2006 [surv.ppt]

Biewen (2002)

Bootstrap for some Generalized Entropy measures [ge_entr.ado]

Bootstrap for differences of Generalized Entropy measures [diff_ge.ado]

Bootstrap for inequality decomposition by subgroup [sub_dec.ado]

Bootstrap for Prais mobility index [mob.ado]

Bootstrap for differences of Prais mobility index [diff_m.ado]

Examples [examples.txt]