Différences

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

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+Bresson, G., Etienne, J-M and G. Lacroix, 2025, Nighttime light pollution and economic activities: a spatio-temporal model with common factors in U.S. counties, in **Advances in Econometrics, Econometrics of Climate, Energy, and Green Transition**, Fomby, T., Hillebrand, E. and M. Friedrich, (eds.), Advanced Studies in Theoretical and Applied Econometrics, Springer, New York (//forthcoming//).
+Baltagi, B.H., Bresson, G. and J-M. Etienne, 2025, Estimation of serially correlated error components models using Whittle's approximate maximum likelihood method, in **Seven Decades of Econometrics and Beyond. A tribute to the life and work of Marc Nerlove**, Baltagi, B.H. and L. Mátyás, (eds.), Advances Studies in Theoretical and Applied Econometrics, volume 57, Springer, New York, 337-366.
+Baltagi, B.H., Bresson, G., Chaturvedi, A. and G. Lacroix, 2025, 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, 11-45.
+Baltagi, B.H., Bresson, G. and J.M. Etienne, 2024, Two-way random effects model with serial correlation, **Empirical Economics, Special Issue in Honor of Professor Robin Sickles**, 1-32, Dec. 19, 2024, https://doi.org/10.1007/s00181-024-02695-9.
+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 and G. Bresson, 2024, Modelling housing using multidimensional panel data, in **The Econometrics of Multi-Dimensional Panels. Theory and Applications**, Mátyás 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//).
-Baltagi, B.H and G. Bresson, 2017, Modelling housing using multidimensional panel data, in **The Econometrics of Multi-Dimensional Panels. Theory and Applications**, Matyas L. (ed.), Springer, New York, 349-376.
+Baltagi, B.H and G. Bresson, 2017, Modelling housing using multidimensional panel data, in **The Econometrics of Multi-Dimensional Panels. Theory and Applications**, Mátyás L. (ed.), Springer, New York, 349-376.
 Bresson, G., Etienne, J-M. and P. Mohnen, 2016, How important is innovation? A Bayesian factor-augmented productivity model on panel data, **Macroeconomic Dynamics**, 20, 8, 1987-2009.
@@ Ligne 38: / Ligne 66: @@
 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.
@@ Ligne 62: / Ligne 90: @@
 Baltagi B.H., Bresson, G. and A. Pirotte, 2002, Comparison of forecast performance for homogeneous, heterogeneous and shrinkage estimators : some empirical evidence from US electricity and natural-gas consumption, **Economics Letters**, 76, 375-382.
-Bresson G., Kramarz, F. and P. Sevestre, 1996, Dynamic Labour Demand Models, in **The Econometrics of Panel Data: Theory and Applications**, (Matyas L. and P. Sevestre, Eds), chap.  25, 2nd edition, Kluwer Academic Publishers.
+Bresson G., Kramarz, F. and P. Sevestre, 1996, Dynamic Labour Demand Models, in **The Econometrics of Panel Data: Theory and Applications**, (Mátyás L. and P. Sevestre, Eds), chap.  25, 2nd edition, Kluwer Academic Publishers.
 Bresson G. and F. Célimène, 1995, Hystérésis ou persistance du taux de chômage? Un test économétrique sur quelques pays de la zone Caraïbe, **Revue d'Economie Politique**, 105 (6), 966-998.
-Bresson G., Kramarz, F. and P. Sevestre, 1992, Dynamic labour demand Models, in **The Econometrics of Panel Data: Theory and Applications**, (Matyas L. and P. Sevestre, Eds), chap.  17, 1st edition, Kluwer Academic Publishers.
+Bresson G., Kramarz, F. and P. Sevestre, 1992, Dynamic labour demand Models, in **The Econometrics of Panel Data: Theory and Applications**, (Mátyás L. and P. Sevestre, Eds), chap.  17, 1st edition, Kluwer Academic Publishers.
 Bresson G., Kramarz, F. and P. Sevestre, 1992, Heterogeneous labor and the dynamics of aggregate labor demand: some estimations using panel data, **Empirical Economics**, 17, 153-168.