Fachbereich Wirtschaftswissenschaften

Prof. Dr. habil. Rouven E. Haschka

Rouven E. Haschka ist seit 2025 Inhaber des Lehrstuhls für Data Analytics an der RPTU Kaiserslautern-Landau. Nach Studium der Wirtschaftswissenschaften (Bachelor) und Angewandter Statistik (Master) promovierte er im Graduiertenkolleg „Skalenprobleme in der Statistik“ an der Georg-August-Universität Göttingen und habilitierte sich an der Universität zu Köln in Volkswirtschaftslehre, insbesondere Ökonometrie und Statistik. Er war zudem Assistant Professor an der University of Bradford und Juniorprofessor für Business Analytics und Data Science an der Zeppelin Universität Friedrichshafen und ist affiliiert mit der Corvinus Universität Budapest.

Weitergehende Informationen

  • Haschka, R. E. (2025). Bayesian Inference for Joint Estimation Models Using Copulas to Handle Endogenous Regressors. Oxford Bulletin of Economics and Statistics (available online). https://doi.org/10.1111/obes.70023
     
  • Haschka, R. E., & Herwartz, H. (2025). Utilizing managerial beliefs for set identification of price elasticities of demand. Journal of the Academy of Marketing Science, 53, 1482–1505. https://doi.org/10.1007/s11747-025-01090-9
     
  • Haschka, R. E., & Wied, D. (2025). Skewness issues in quantifying efficiency: Insights from stochastic frontier panel models based on closed skew normal approximations. Computational Economics (available online). https://doi.org/10.1007/s10614-025-10857-9
     
  • Haschka, R. E. (2024). Robustness of copula-correction models in causal analysis: Exploiting between-regressor correlation. IMA Journal of Management Mathematics, 36 (1), 161–180. https://doi.org/10.1093/imaman/dpae018
     
  • Haschka, R. E. (2024). Eine ethische Perspektive auf KI im Controlling. Controlling & Management Review, 68, 50–53. https://doi.org/10.1007/s12176-024-1418-8
     
  • Haschka, R. E. (2024). Examining the New Keynesian Phillips Curve in the U.S.: Why has the relationship between inflation and unemployment weakened? Research in Economics, 78 (4), 100987 (2024). https://doi.org/10.1016/j.rie.2024.100987
     
  • Haschka, R. E. (2024). Wrong skewness and endogenous regressors in stochastic frontier models: An instrument-free copula approach with an application to estimate firm efficiency in Vietnam. Journal of Productivity Analysis, 62, 71–90. https://doi.org/10.1007/s11123-024-00722-6
     
  • Haschka, R. E. (2024). Endogeneity in stochastic frontier models with “wrong” skewness: Copula approach without external instruments. Statistical Methods and Applications, 33, 807–826. https://doi.org/10.1007/s10260-024-00750-4
     
  • Haschka, R. E., Herwartz, H., Silva Coelho, C., & Walle, Y. (2023). Local financial development and firm growth in Vietnam: Evidence from a Bayesian geoadditive stochastic frontier approach. Journal of Productivity Analysis, 60, 203–226. https://doi.org/10.1007/s11123-023-00694-z
     
  • Haschka, R. E., & Herwartz, H. (2022). Endogeneity in pharmaceutical knowledge generation: An instrument-free copula approach for Poisson frontier models. Journal of Economics and Management Strategy, 31 (4), 942–960. https://doi.org/10.1111/jems.12491
     
  • Haschka, R. E. (2022). Handling endogenous regressors using Copulas: A generalization to linear panel models with fixed effects and correlated regressors. Journal of Marketing Research, 59 (4), 860–881. https://doi.org/10.1177/00222437211070820
     
  • Haschka, R. E., Herwartz, H., Struthmann, P., Tran, V. T., & Walle, Y. (2021). The joint effects of financial development and the business environment on firm growth: Evidence from Vietnam. Journal of Comparative Economics, 50 (2), 486–506. https://doi.org/10.1016/j.jce.2021.11.002
     
  • Haschka, R. E., & Herwartz, H. (2020). Innovation efficiency in European high-tech industries: Evidence from a Bayesian stochastic frontier approach. Research Policy, 49 (8), 104054. https://doi.org/10.1016/j.respol.2020.104054
     
  • Haschka, R. E., Herwartz, H., & Schley, K. (2020). Provision of health care services and regional diversity in Germany: Insights from a Bayesian health frontier analysis with spatial dependencies. The European Journal of Health Economics, 21, 55–71. https://doi.org/10.1007/s10198-019-01111-9
     
  • Haschka, R. E., Herwartz, H., & Schley, K. (2020). Individual health-related quality of life and the regional allocation of medical services: Insights from a stochastic health frontier analysis. Journal of Public Health Policy and Planning, 4 (4), 42–57. https://doi.org/10.35841/public-health-policy.4.4.42-57
  • Florenz-Sartorius Preis für die beste Dissertation an der wirtschaftswissenschaftlichen Fakultät der Georg-August Universität Göttingen
  • Top Cited Article (2022–2023) – Wiley
  • DFG: „Nonparametric Bayesian inference for copula-based endogeneity corrections“ (Projektnummer: 568088747)

Prof. Dr. habil. Rouven E. Haschka
Telefon: +49 631 205-2630
Mail: rouven.haschka(at)rptu.de
Aktuelle Forschung: ORCID

Besucheranschrift:
Gottlieb-Daimler-Straße,
Gebäude 42, Raum 428
67663 Kaiserslautern

Postanschrift:
RPTU Kaiserslautern-Landau
FB Wirtschaftswissenschaften
LS Data Analytics
Postfach 3049
67653 Kaiserslautern

Sprechzeiten:
nach Vereinbarung.
Bitte kontaktieren Sie das Sekretariat