140 Key Publications

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  Boswijk, H., Cavaliere, G., Rahbek, A. and Taylor, A. (2016). Inference on co-integration parameters in heteroskedastic vector autoregressions Journal of Econometrics, 192(1):64--85.

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  Ketel, N., Linde, J., Oosterbeek, H. and van der Klaauw, B. (2016). Tuition fees and sunk-cost effects Economic Journal, 126(598):2342--2362.

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  Blasques, F., Koopman, S., Lucas, A. and Schaumburg, J. (2016). Spillover dynamics for systemic risk measurement using spatial financial time series models Journal of Econometrics, 195(2):211--223.

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  Blasques Albergaria Amaral, F., Koopman, S., Mallee, M. and Zhang, Z. (2016). Weighted Maximum Likelihood for Dynamic Factor Analysis and Forecasting with Mixed Frequency Data Journal of Econometrics, 193(2):405--417.

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  Koopman, S., Lucas, A. and Scharth, M. (2016). Predicting time-varying parameters with parameter-driven and observation-driven models Review of Economics and Statistics, 98(1):97--110.

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  Ketel, N., Leuven, E., Oosterbeek, H. and van der Klaauw, B. (2016). The Returns to Medical School: Evidence from Admission Lotteries American Economic Journal: Applied Economics, 8(2):225--254.

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  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.

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  van den Brink, J.R. and Pinter, M. (2015). On Axiomatizations of the Shapley Value for Assignment Games Journal of Mathematical Economics, 60(October):110--114.

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  Peer, S., Verhoef, E., Knockaert, J., Koster, P. and Tseng, Y. (2015). Long-Run versus Short-Run Perspectives on Consumer scheduling: Evidence from a Revealed-Preference Experiment among Peak-Hour Road Commuters International Economic Review, 56(1):303--323.

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  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.

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

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  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.

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

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  Wagener, F. (2014). Expectations in experiments Annual Review of Economics, 6:421--443.

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  Ju, Y., Chun, Y. and van den Brink, J.R. (2014). Auctioning and Selling Positions: A Noncooperative Approach to Queueing Conflicts Journal of Economic Theory, 153(September):33--45.

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  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.

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  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.

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  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.

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

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  van der Klaauw, B. and van Ours, J.C. (2013). Carrot and stick: how reemployment bonuses and benefit sanctions affect exit rates from welfare Journal of Applied Econometrics, 28(2):275--296.