217 Key Publications

• 

  van Dijk, D., Lumsdaine, R. and van der Wel, M. (2016). Market set-up in advance of Federal Reserve policy rate decisions Economic Journal, 126(592):618--653.

• 

  Boswijk, H., Jansson, M. and Nielsen, M. (2015). Improved likelihood ratio tests for cointegration rank in the VAR model Journal of Econometrics, 184(1):97--110.

• 

  Koopman, S., Lucas, A. and Scharth, M. (2015). Numerically Accelerated Importance Sampling for Nonlinear Non-Gaussian State Space Models Journal of Business and Economic Statistics, 33(1):114--127.

• 

  Kleibergen, F. and Zhan, Z. (2015). Unexplained factors and their effects on second pass R-squared’s Journal of Econometrics, 189(1):101--116.

• 

  Kleibergen, F. and Mavroeidis, S. (2014). Identification issues in limited-information Bayesian analysis of structural macroeconomic models Journal of Applied Econometrics, 29(7):1183--1207.

• 

  Zu, Y. and Boswijk, H. (2014). Estimating spot volatility with high-frequency financial data Journal of Econometrics, 181(2):117--135.

• 

  Lucas, A., Schwaab, B. and Zhang, X. (2014). Conditional euro area sovereign default risk Journal of Business and Economic Statistics, 32(2):271--284.

• 

  Creal, D., Schwaab, B., Koopman, S. and Lucas, A. (2014). Observation Driven Mixed-Measurement Dynamic Factor Models with an Application to Credit Risk Review of Economics and Statistics, 96(5):898--915.

• 

  Mesters, G. and Koopman, S. (2014). Generalized Dynamic Panel Data Models with Random Effects for Cross-Section and Time Journal of Econometrics, 180(2):127--140.

• 

  Jungbacker, B., Koopman, S. and van der Wel, M. (2014). Smooth Dynamic Factor Analysis with Application to the U.S. Term Structure of Interest Rates Journal of Applied Econometrics, 29(1):65--90.

• 

  Dijk, D.van, Koopman, S., van der Wel, M. and Wright, J. (2014). Forecasting Interest Rates with Shifting Endpoints Journal of Applied Econometrics, 29(5):693--712.

• 

  Creal, D., Koopman, S. and Lucas, A. (2013). General Autoregressive Score Models with Applications Journal of Applied Econometrics, 28(5):777--795.

• 

  Bataa, E., Osborn, D., Sensier, M. and van Dijk, D. (2013). Structural breaks in the international dynamics of inflation Review of Economics and Statistics, 95(2):646--659.

• 

  de Haan, L., de Vries, C. and Zhou, C. (2013). The number of active bidders in internet auctions Journal of Economic Theory, 148(4):1726--1736.

• 

  Groen, J.(., Paap, R. and Ravazzolo, F. (2013). Real-time Inflation Forecasting in a Changing World Journal of Business and Economic Statistics, 31(1):29--44.

• 

  Pesaran, M., Pick, A. and Pranovich, M. (2013). Optimal Forecasts in the Presence of Structural Breaks Journal of Econometrics, 177(2):134--152.

• 

  Guggenberger, P., Kleibergen, F., Mavroeidis, S. and Chen, L. (2012). On the asymptotic sizes of subset Anderson-Rubin and Lagrange multiplier tests in linear instrumental variables regression Econometrica, 80(6):2649--2666.

• 

  Boswijk, H. and Klaassen, F. (2012). Why frequency matters for unit root testing in financial time series Journal of Business and Economic Statistics, 30(3):351--357.

• 

  Koopman, S., Lucas, A. and Schwaab, B. (2012). Dynamic Factor Models With Macro, Frailty and Industry Effects for U.S. Default Counts: The Credit Crisis of 2008 Journal of Business and Economic Statistics, 30(4):521--532.

• 

  Fok, D., Paap, R. and van Dijk, A. (2010). A Rank-Ordered Logit Model with Unobserved Heterogeneity in Ranking Capabilities Journal of Applied Econometrics, 27(5):831--846.