149 Key Publications

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  Koopman, S.J., Lit, R., Lucas, A. and Opschoor, A. (2018). Dynamic discrete copula models for high-frequency stock price changes Journal of Applied Econometrics, 33(7):966--985.

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  Boot, T. and Pick, A. (2018). Optimal forecasts from Markov switching models Journal of Business and Economic Statistics, 36(4):628--642.

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  Barra, I., Hoogerheide, L., Koopman, S. and Lucas, A. (2017). Joint Bayesian Analysis of Parameters and States in Nonlinear, Non-Gaussian State Space Models Journal of Applied Econometrics, 32(5):1003--1026.

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  Bisschop, P., Kastoryano, S. and van der Klaauw, B. (2017). Street prostitution zones and crime American Economic Journal: Economic Policy, 9(4):28--63.

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  Bernasco, W., de Graaff, T., Rouwendal, J. and Steenbeek, W. (2017). Social Interactions and Crime Revisited: An Investigation Using Individual Offender Data in Dutch Neighborhoods Review of Economics and Statistics, 99(4):622--636.

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  Konig, M., Zilibotti, F., Thoenig, M. and Rohner, D. (2017). Networks in Conflict: Theory and Evidence from the Great War of Africa Econometrica, 85(4):1093--1132.

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  Schwaab, B., Koopman, S. and Lucas, A. (2017). Global Credit Risk: World, Country and Industry Factors Journal of Applied Econometrics, 32(2):296--317.

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  Koopman, S. and Mesters, G. (2017). Empirical Bayes Methods for Dynamic Factor Models Review of Economics and Statistics, 99(3):486--498.

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  Koopman, S., Lit, R. and Lucas, A. (2017). Intraday Stochastic Volatility in Discrete Price Changes: the Dynamic Skellam Model Journal of the American Statistical Association, 112(520):1490--1503.

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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.