Photographer: FEB

dr. M.J.G. (Maurice) Bun


  • Faculty of Economics and Business
    Section Quantitative Economics
  • Visiting address
    REC E
    Roetersstraat 11  Amsterdam
    Room number: 4.29
  • Postal address:
    Postbus  15867
    1001 NJ  Amsterdam
  • M.J.G.Bun@uva.nl
    T: 0205254257
    T: 0205254252

 

Please visit my personal homepage for more information about me and my research activities.

2015

  • Bun, M. J. G. (2015). Identifying the impact of deterrence on crime: internal versus external instruments. Applied Economics Letters, 22(3), 204-208. DOI: 10.1080/13504851.2014.934422  [details] 
  • Bun, M. J. G., & Sarafidis, V. (2015). Dynamic panel data models. In B. H. Baltagi (Ed.), The Oxford handbook of panel data (pp. 76-110). New York: Oxford University Press. [details] 

2011

  • Bun, M. J. G., & Windmeijer, F. (2011). A comparison of bias approximations for the two-stage least squares (2SLS) estimator. Economics Letters, 113(1), 76-79. DOI: 10.1016/j.econlet.2011.05.047  [details] 

2010

2009

  • Bun, M. J. G., Klaassen, F. J. G. M., & Tan, G. K. R. (2009). Free trade areas and intra-regional trade: the case of ASEAN. Singapore Economic Review, 54(3), 319-334. DOI: 10.1142/S0217590809003367  [details] 
  • van Triest, S., Bun, M. J. G., van Raaij, E. M., & Vernooij, M. J. A. (2009). The impact of customer-specific marketing expenses on customer retention and customer profitability. Marketing Letters, 20(2), 125-138. DOI: 10.1007/s11002-008-9061-2  [details] 

2009

  • Bun, M. J. G., & Windmeijer, F. (2009). The weak instrument problem of the system GMM estimator in dynamic panel data models. (Tinbergen Institute Discussion Paper; No. TI 2009-086/4). Amsterdam: Faculteit Economie en Bedrijfskunde. [details] 

2017

2016

  • Pua, A. A. Y. (2016). Responses to the incidental parameter problem [details] 

2015

2016

  • Schinkel, M. P., Bun, M. J. G., & Boswijk, H. P. (2016). Cartel Dating. (ACLE Working Paper Series; No. 2016-05).

2014

  • Bun, M. J. G. (2014). Identifying the impact of deterrence on crime: internal versus external instruments. (UvA-Econometrics Discussion Paper; No. 2014/03). Amsterdam: University of Amsterdam. [details] 
  • Bun, M. J. G., & Harrison, T. D. (2014). OLS and IV estimation of regression models including endogenous interaction terms. (UvA-Econometrics Discussion Paper; No. 2014/02). Amsterdam: University of Amsterdam. [details] 
  • Bun, M. J. G., Carree, M. A., & Juodis, A. (2014). On Maximum Likelihood estimation of dynamic panel data models. (UvA-Econometrics Discussion Paper; No. 2014/04). Amsterdam: University of Amsterdam. [details] 

2013

  • Bun, M. J. G., & Kleibergen, F. (2013). Identification and inference in moments based analysis of linear dynamic panel data models. (UvA-Econometrics Discussion Paper; No. 2013/07). University of Amsterdam. [details] 
  • Bun, M. J. G., & Sarafidis, V. (2013). Dynamic panel data models. (UvA-Econometrics Discussion Paper; No. 2013/01). University of Amsterdam. [details] 

2011

  • Bun, M., & Kleibergen, F. (2011). Identification in linear dynamic panel data models. (UvA - econometrics discussion paper; No. 2011/04). Amsterdam: Universiteit van Amsterdam. [details] 

2010

  • Bun, M., & Windmeijer, F. (2010). A comparison of bias approximations for the 2SLS estimator. (UvA-Econometrics discussion paper; No. 2010/03). Amsterdam: Amsterdam School of Economics, Department of Quantitative Economics. [details] 
  • Bun, M., & de Haan, M. (2010). Weak instruments and the first stage F-statistic in IV models with a nonscalar error covariance structure. (UvA-Econometrics discussion paper; No. 2010/02). Amsterdam: Amsterdam School of Economics, Department of Quantitative Economics. [details] 
This list of publications is extracted from the UvA-Current Research Information System. Questions? Ask the library  or the Pure staff  of your faculty / institute. Log in to Pure  to edit your publications.

  • Empirisch econometrisch onderzoek uitvoeren en rapporteren

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