56 Key Publications

• 

  Vogels, L., Mohammadi, A., Schoonhoven, M. and Birbil, S. (2024). Bayesian Structure Learning in Undirected Gaussian Graphical Models: Literature Review with Empirical Comparison Journal of the American Statistical Association, 119(548):3164--3182.

• 

  de Haan, L. and Zhou, C. (2024). Bootstrapping Extreme Value Estimators Journal of the American Statistical Association, 119(545):382--393.

• 

  Creal, D., Koopman, S.J., Lucas, A. and Zamojski, M. (2024). Observation-driven filtering of time-varying parameters using moment conditions Journal of Econometrics, 238(2):1--14.

• 

  Li, C. and Wakker, P. (2024). A Simple and General Axiomatization of Average Utility Maximization for Infinite Streams Journal of Economic Theory, 216:1--10.

• 

  Huo, Z., Pedroni, M. and Pei, G. (2024). Bias and Sensitivity under Ambiguity American Economic Review, 114(12):4091--4133.

• 

  Li, W., Xu, G. and van den Brink, R. (2024). Sign properties and axiomatizations of the weighted division values Journal of Mathematical Economics, 112:1--7.

• 

  Koster, HansR.A. and Thisse, J.F. (2024). Understanding Spatial Agglomeration: Increasing Returns, Land, and Transportation Costs Annual Review of Economics, 16:55--78.

• 

  Blinder, AlanS., Ehrmann, M., de Haan, J. and Jansen, D.J. (2024). Central Bank Communication with the General Public: Promise or False Hope? Journal of Economic Literature, 62(2):425--457.

• 

  Camehl, A., Fok, D. and Gruber, K. (2024). On superlevel sets of conditional densities and multivariate quantile regression Journal of Econometrics, :.

• 

  Blasques, F., Francq, C. and Laurent, S. (2024). Autoregressive conditional betas Journal of Econometrics, 238(2):1--22.

• 

  Manduca, R., Hell, M., Adermon, A., Blanden, J., Bratberg, E., Gielen, AnneC., Kippersluis, H.V., Lee, K., Machin, S., Munk, MartinD., Nybom, M., Ostrovsky, Y., Rahman, S. and Sirniö, O. (2024). Measuring Absolute Income Mobility: Lessons from North America and Europe American Economic Journal: Applied Economics, 16(2):1--30.

• 

  Cahuc, P., Carcillo, S., Patault, B. and Moreau, F. (2024). Judge bias in labor courts and firm performance Journal of the European Economic Association, 22(3):1319–1366.

• 

  D\textquoterightInnocenzo, E., Lucas, A., Schwaab, B. and Zhang, X. (2024). Modeling Extreme Events: Time-Varying Extreme Tail Shape Journal of Business and Economic Statistics, 42(3):903--917.

• 

  Chen, Y., Ward, F., Palma, N. and Brzezinski, A. (2024). The Vagaries of the Sea: Evidence on the Real Effects of Money from Maritime Disasters in the Spanish Empire Review of Economics and Statistics, 106(5):1220--1235.

• 

  Naghi, AndreaA., O'Neill, E. and Danielova Zaharieva, M. (2024). The benefits of forecasting inflation with machine learning: New evidence Journal of Applied Econometrics, 39(7):1321--1331.

• 

  Noailly, J., Nowzohour, L., van den Heuvel, M. and Pla, I. (2024). Heard the news? Environmental policy and clean investments Journal of Public Economics, 238:.

• 

  Pérignon, C., Akmansoy, O., Hurlin, C., Dreber, A., Holzmeister, F., Huber, J., Johannesson, M., Kirchler, M., Menkveld, AlbertJ., Razen, M. and Weitzel, U. (2024). Computational Reproducibility in Finance: Evidence from 1,000 Tests Review of Financial Studies, 37(11):3558--3593.

• 

  Blasques, F., van Brummelen, J., Gorgi, P. and Koopman, S.J. (2024). Maximum Likelihood Estimation for Non-Stationary Location Models with Mixture of Normal Distributions Journal of Econometrics, 238(1):.

• 

  Gorgi, P., Koopman, S.J. and Schaumburg, J. (2024). Vector autoregressions with dynamic factor coefficients and conditionally heteroskedastic errors Journal of Econometrics, 244(2):.

• 

  Friedrich, M. and Lin, Y. (2024). Sieve bootstrap inference for linear time-varying coefficient models Journal of Econometrics, 239(1):1--29.