Article

Jochmans, Koen (2024) Nonparametric identification and estimation of stochastic block models from many small networks. Journal of Econometrics, vol.242 (n°2).

Higgins, Ayden and Jochmans, Koen (2024) Bootstrap inference for fixed-effect models. Econometrica, Vol. 92 (N° 2). pp. 411-427.

Jochmans, Koen and Weidner, Martin (2024) Inference on a distribution from noisy draws. Econometric Theory, vol. 40 (n° 1). pp. 60-97.

Higgins, Ayden and Jochmans, Koen (2023) Identification of mixtures of dynamic discrete choices. Journal of Econometrics, vol. 237 (n° 1).

Jochmans, Koen (2023) Peer effects and endogenous social interactions. Journal of Econometrics, vol. 235 (n° 2). pp. 1203-1214.

Jochmans, Koen (2023) Testing random assignment to peer groups. Journal of Applied Econometrics, vol. 38 (n° 3). pp. 321-333.

Jochmans, Koen (2023) Modified-likelihood estimation of fixed-effect model for dyadic data. Journal of the Spanish Economic Association, vol.14. pp. 417-433.

Jochmans, Koen and Verardi, Vincenzo (2022) Instrumental-Variable Estimation Of Exponential Regression Models With Two-Way Fixed Effects With An Application To Gravity Equations. Journal of Applied Econometrics, vol.37 (n°6). pp. 1121-1137.

Jochmans, Koen (2022) Bias In Instrumental-Variable Estimators Of Fixed-Effect Models For Count Data. Economics Letters, vol.212 (n°110318).

Jochmans, Koen and Magnac, Thierry (2017) A Note on Sufficiency in Binary Panel Data Models. The Econometrics Journal, vol. 20 (n° 2). pp. 259-269.

Monograph

Higgins, Ayden and Jochmans, Koen (2025) Inference in Dynamic Models for Panel Data Using The Moving Block Bootstrap. TSE Working Paper, n. 25-1620, Toulouse

Bonhomme, Stéphane, Jochmans, Koen and Weidner, Martin (2025) A Neyman-Orthogonalization Approach to The Incidental Parameter Problem. TSE Working Paper, n. 25-1614, Toulouse

Diegert, Paul and Jochmans, Koen (2024) Nonparametric Identification of Models for Dyadic Data. TSE Working Paper, n. 24-1574, Toulouse

Jochmans, Koen (2024) Nonparametric Identification And Estimation of Stochastic Block Models From Many Small Networks”. TSE Working Paper, n. 24-1514, Toulouse

Jochmans, Koen (2023) Many (Weak) Judges in Judge-Leniency Designs. TSE Working Paper, n. 23-1481, Toulouse

Higgins, Ayden and Jochmans, Koen (2022) Learning Markov Processes with Latent Variables. TSE Working Paper, n. 22-1366, Toulouse

Jochmans, Koen (2022) Peer Effects and Endogenous Social Interactions. TSE Working Paper, n. 22-1348, Toulouse, France

Jochmans, Koen and Higgins, Ayden (2022) Bootstrap inference for fixed-effect models. TSE Working Paper, n. 22-1328, Toulouse

Jochmans, Koen and Weidner, Martin (2021) Inference On A Distribution From Noisy Draws. TSE Working Paper, n. 21-1275, Toulouse, France

Jochmans, Koen (2021) Testing Random Assignment To Peer Groups. TSE Working Paper, n. 21-1270, Toulouse

Jochmans, Koen (2021) Bias In Instrumental-Variable Estimators Of Fixed-Effect Models For Count Data. TSE Working Paper, n. 21-1276, Toulouse, France