Denis de Crombrugghe
PhD, Maastricht University, Associate Professor of Statistics and Econometrics
Economics / Econometrics
Denis de Crombrugghe is joining Nazarbayev University and the GSB after retiring from Maastricht University (Netherlands), where he taught courses in the fields of statistical inference, theoretical and empirical econometrics, policy impact evaluation, and panel data. He holds an MA degree in economics from the University of Leuven (KUL, Belgium), an MBA degree from the University of Chicago (now Booth GSB), and a PhD from Maastricht University (Netherlands). His experience in econometrics began with the construction of a multicountry macro-econometric model (COMET III) for the European Commission, and his focus evolved naturally towards the econometrics of panel data. His main interest is making sense of complex data to unearth useful insights, especially when (as is common nowadays) data vary in both time and space. This comprises various applications of panel data methodology and the econometrics of growth and development.
Richard Bluhm, Denis de Crombrugghe & Adam Szirmai (2019): “Do Weak Institutions Prolong Crises? On the Identification, Characteristics, and Duration of Declines during Economic Slumps.” The World Bank Economic Review, forthcoming. Published: 31 October 2019. URL: https://doi.org/10.1093/wber/lhz015
Mehmet Güney Celbis, Denis de Crombrugghe & Joan Muysken (2019): “Competition for Infrastructure among Regions in Turkey.” Bölgesel Araştırmalar Dergisi (Journal of Regional Studies) 3-2 (2019), pp. 115– URL: https://dergipark.org.tr/tr/pub/bader/issue/51045/665741
Richard Bluhm, Denis de Crombrugghe & Adam Szirmai (2018): “Poverty Accounting.” European Economic Review, 104 (2018) 237-255. URL:
Mehmet Güney Celbis & Denis de Crombrugghe (2016): “Internet infrastructure and regional convergence: Evidence from Turkey.” Papers in Regional Science 97-2 (2016) 387-409. URL: https://doi.org/10.1111/pirs.12244
Denis de Crombrugghe, Richard Bluhm & Augustin Fosu (2016): Income Inequality and Poverty Reduction in Sub-Saharan Africa. European Commission, DG DEVCO, 2016. URL: https://doi.org/2841/101589
Richard Bluhm, Denis de Crombrugghe & Adam Szirmai (2016): “The Dynamics of Stagnation: A Panel Analysis of the Onset and Continuation of Stagnation.”Macroeconomic Dynamics 20 (8), December 2016. URL:
Kristine Farla, Denis de Crombrugghe & Bart Verspagen (2014): “Institutions, Foreign Direct Investment, and Domestic Investment: Crowding Out or Crowding In?” World Development 88 (2016) pp. 1-9. URL:
Luciana Cingolani, Kaj Thomsson & Denis de Crombrugghe (2015): “Minding Weber more than ever? The impacts of State Capacity and Bureaucratic Autonomy on development goals.” World Development72 (2015) 191-207. URL: http://dx.doi.org/10.1016/j.worlddev.2015.02.016
Geranda Notten & Denis de Crombrugghe (2012): “Consumption smoothing in Russia.” Economics of Transition 20 (3), 481-519. URL:
Bianca Buligescu, Denis de Crombrugghe, Gülçin Mentesoglu & Raymond Montizaan (2009): “Panel Estimates of the wage penalty for maternal leave,” Oxford Economic Papers 61 (2009), i35-i55. URL:
Denis de Crombrugghe, Franz C. Palm & J.-P. Urbain (1999): “Statistical Demand Functions for Food in the USA and the Netherlands,” with comments by K.F. Wallis, M. McAleer and A.P. Barten, and authors’ rejoinder, in Magnus J. & M. Morgan, Methodology and Tacit Knowledge, Wiley 1999, pp. 205-235.
Denis de Crombrugghe, Franz C. Palm & J.-P. Urbain (1997): “Statistical Demand Functions for Food in the USA and the Netherlands,” Journal of Applied Econometrics 12, 615-645 (Oct. 1997).
Methodological issues in multi-unit and panel data analysis, especially in the presence of dynamics
Econometrics of growth and development, like the projection of poverty trends, the evaluation of development policies, or the appraisal of efforts to diversify economies reliant on natural resources
Factor models for firm performance, aiming at assessing the importance and comparative value of industry classifications (with Venkat Subramanian a.o.)
The Russian Longitudinal Monitoring Survey (RLMS-HSE)
Statistical and econometric methods
Empirical econometrics (macro/micro, finance/marketing, policy evaluation)
Survey and panel data