Différences

Ci-dessous, les différences entre deux révisions de la page.

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+Baltagi, B.H., Bresson, G. and J.M. Etienne, 2024, A pretest estimator for the two-way error component model, **Econometrics**, 12(2), 9, 1-15 (//available online April, 16 2024//).
+Baltagi, B.H., Bresson, G., Chaturvedi, A. and G. Lacroix, 2024, Robust dynamic space–time panel data models using ε-contamination: an application to crop yields and climate change, in **Advances in Applied Econometrics, Celebrating Peter Schmidt’s Legacy**, Kumbhakar, S.C., Sickles, R. and H-J. Wang (eds.), Advanced Studies in Theoretical and Applied Econometrics, volume 55, Springer, New York (//forthcoming//).
+Baltagi, B.H and G. Bresson, 2024, Modelling housing using multidimensional panel data, in **The Econometrics of Multi-Dimensional Panels. Theory and Applications**, Matyas L. (ed.), Advanced Studies in Theoretical and Applied Econometrics, volume 54, 2nd edition, Springer, New York, 413-453.
+Bresson, G. and A. Chaturvedi, 2023, Dynamic space-time panel data models: an eigendecomposition-based bias-corrected least squares procedure, **Spatial Statistics**, 56, August, 100758 (//available online June, 17 2023//).
+Baltagi, B.H., Bresson, G., Chaturvedi, A. and G. Lacroix, 2023, Robust dynamic space-time panel data models using ε-contamination: An application to crop yields and climate change, **Empirical Economics, Special Issue in Honor of Professor Peter Schmidt**, vol. 64, issue 6, 2475-2509, (//available online December, 31 2022//).
+Beltempo, M., Bresson, G. and G. Lacroix, 2023, Using machine learning to predict nosocomial infections and medical accidents in a NICU, **Health and Technology**, Vol. 13, Issue 1, 75-87.
+Beltempo, M., Bresson, G., Etienne, J.M. and G. Lacroix, 2022, Infections, accidents and nursing overtime in a neonatal intensive care unit, **The European Journal of Health Economics**, 23(4), 627-643, (//available online October, 19 2021//).
+Baltagi, B.H., Bresson, G., Chaturvedi, A. and G. Lacroix, 2022, Robust dynamic panel data models using ε-contamination, in **Advances in Econometrics. Essays in Honor of M. Hashem Pesaran: Panel Modeling, Micro Applications, and Econometric Methodology**, vol. 43B, (Chudik, A., Hsiao, C. and A. Timmermann, eds.), Emerald Group Publishing Limited, 307-336.
+Bresson, G., Chaturvedi, A., Rahman, A.M. and Shalabh, 2021, Seemingly unrelated regression with measurement error: Estimation via Markov chain Monte Carlo and mean field variational Bayes approximation, **International Journal of Biostatistics**, 17(1), 75-97, (//available online September, 16 2020//).
+Bresson, G., Lacroix, G. and A.M. Rahman, 2021, Bayesian panel quantile regression for binary outcomes with correlated random effects: An application on crime recidivism in Canada, **Empirical Economics, Special Issue on Honouring Professor Badi Baltagi's Contribution to the Field of Econometrics**, vol. 60, issue 1, january, 227-259, (//available online June, 24 2020//).
 Bresson, G., 2020, Comments on `An Econometrician's Perspective on Big Data' by Cheng Hsiao, in **Advances in Econometrics: Essays in Honor of Cheng Hsiao**, vol. 41, (Pesaran, M.H., Li, T. and D. Terrell, eds.), Emerald Group Publishing Limited, 431-443.
-Baltagi, B.H., Bresson, G. and J. M. Etienne, 2020, Growth empirics: a Bayesian semiparametric model with random coefficients for a panel of OECD countries, in **Advances in Econometrics: Essays in Honor of Cheng Hsiao**, vol. 41, (Pesaran, M.H., Li, T. and D. Terrell, eds.), Emerald Group Publishing Limited, 217-253.
+Baltagi, B.H., Bresson, G. and J.M. Etienne, 2020, Growth empirics: a Bayesian semiparametric model with random coefficients for a panel of OECD countries, in **Advances in Econometrics: Essays in Honor of Cheng Hsiao**, vol. 41, (Pesaran, M.H., Li, T. and D. Terrell, eds.), Emerald Group Publishing Limited, 217-253.
-Baltagi, B.H, Bresson, G. and J.M. Etienne, 2019, Carbon dioxide emissions and economic activities: A mean field variational Bayes semiparametric panel data model with random coefficients, **Annals of Economics and Statistics**, 134, 43-78.
+Baltagi, B.H, Bresson, G. and J.M. Etienne, 2019, Carbon dioxide emissions and economic activities: A mean field variational Bayes semiparametric panel data model with random coefficients, **Annals of Economics and Statistics, Special Issue on Panel Data**, 134, 43-78.
 Baltagi, B.H, Bresson, G., Chaturvedi, A. and G. Lacroix, 2018, Robust linear static panel data models using ε-contamination, **Journal of Econometrics**, 202, 1, 108-123, (//available online August, 26 2017//).
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 Abdelmoula M. and G. Bresson, 2008, Spatial and technological R&D spillovers in European regions: a dynamic count panel data model,  **Annales d'Economie et de Statistique**, //(**Annals of Economics and Statistics**)//, vol. 88, 1-16.
-Baltagi B.H., G. Bresson and A. Pirotte, 2008, To pool or not to pool? in **The Econometrics of Panel Data: Fundamentals and Recent Developments in Theory and Practice**, (L. Mátyás and P. Sevestre eds.), Series: Advanced Studies in Theoretical and Applied Econometrics, Vol. 33, Springer-Verlag, New York.
+Baltagi B.H., G. Bresson and A. Pirotte, 2008, To pool or not to pool? in **The Econometrics of Panel Data: Fundamentals and Recent Developments in Theory and Practice**, (L. Mátyás and P. Sevestre eds.), Series: Advanced Studies in Theoretical and Applied Econometrics, Vol. 33, 517-546, Springer-Verlag, New York.
 Baltagi B.H., Bresson G. and A. Pirotte, 2007, Panel unit root tests and spatial dependence, **Journal of Applied Econometrics**, 22, 339-360.