9. The Phillips Multiplier, Journal of Monetary Economics, 2021, vol 117, pp. 689-705

8. Detecting Granular Time Series in Large Panels, Journal of Econometrics, 2021, vol 220, pp. 544-561


7. Identifying modern macro equations with old shocks, The Quarterly Journal of Economics, 2020, vol 135,  pp. 2255–2298

6. On the Demographic Adjustment of Unemployment, The Review of Economics and Statistics, 2018, vol 100, pp. 219-231

5. Empirical Bayes Methods for Dynamic Factor ModelsThe Review of Economics and Statistics, 2017, vol. 99, pp. 486–498

4. Age- and Quality-Graded Effects for Employment and Crime, Journal of Developmental and Life-Course Criminology, 2017, vol. 3, pp. 440-467

3. Monte Carlo Maximum Likelihood Estimation for Generalized Long-Memory Time Series Models, Econometric Reviews, 2016, vol. 35, pp. 659-687

2. Crime, Employment and Social Welfare: an individual-level study on disadvantaged males, Journal of Quantitative Criminology, 2016, vol 32,  pp. 159-190

1. Generalized Dynamic Panel Data Models with Random Effects for Cross-Section and Time, Journal of Econometrics, 2014, vol. 180, pp. 127-140

Articles in Books and Other Periodicals

​2. Forecasting the Boatrace, In: Koopman, S.J. and Shepherd, N. (Eds.). Unobserved Components and Time Series Econometrics. Oxford: Oxford University Press, (2014) pp. 90-117.

1. The Effect of Unemployment on Crime in High Risk Families in the Netherlands between 1920 and 2005. In: Weerman, F. & Bijleveld, C.C.J.H. (Eds.). Criminal behavior from school to the workplace. Untangling the complex relations between employment, education, and crime. (2013) London: Routledge, pp. 142-165.

In Dutch

1. Amsterdam bepalend voor woningprijzenEconomisch Statistische Berichten (ESB), 2018, vol. 103(4767), pp. 492-494