| Bayesian inference in dynamic econometric models L Bauwens, M Lubrano, JF Richard OuP Oxford, 2000 | 713 | 2000 |
| Bayesian inference on GARCH models using the Gibbs sampler L Bauwens, M Lubrano The Econometrics Journal 1 (1), C23-C46, 1998 | 338 | 1998 |
| Ranking economics departments in Europe: a statistical approach M Lubrano, L Bauwens, A Kirman, C Protopopescu Journal of the European Economic Association 1 (6), 1367-1401, 2003 | 174 | 2003 |
| Bayesian option pricing using asymmetric GARCH models L Bauwens, M Lubrano Journal of Empirical Finance 9 (3), 321-342, 2002 | 115 | 2002 |
| Identification restrictions and posterior densities in cointegrated Gaussian VAR system L Bauwens, M Lubrano LIDAM Reprints CORE, 1996 | 95 | 1996 |
| Smooth transition GARCH models: A Bayesian perspective M Lubrano Recherches Economiques de Louvain/Louvain Economic Review 67 (3), 257-287, 2001 | 72 | 2001 |
| Testing for unit roots in a Bayesian framework M Lubrano Journal of Econometrics 69 (1), 81-109, 1995 | 72 | 1995 |
| Bayesian analysis of nonlinear time series models with a threshold M Lubrano Universites d'Aix-Marseille II et III, 1998 | 62 | 1998 |
| Stability of a UK money demand equation: a Bayesian approach to testing exogeneity M Lubrano, RG Pierse, JF Richard The Review of Economic Studies 53 (4), 603-634, 1986 | 42 | 1986 |
| Emploi et chômage en France de 1955 à 1982: un modèle macroéconomique annuel avec rationnement JP Lambert, M Lubrano, HR Sneessens Annales de l'INSEE, 39-76, 1984 | 41 | 1984 |
| Income inequality decomposition using a finite mixture of log-normal distributions: A Bayesian approach M Lubrano, AAJ Ndoye Computational Statistics & Data Analysis 100, 830-846, 2016 | 40 | 2016 |
| The econometrics of inequality and poverty M Lubrano Lecture 4, 10-14, 2016 | 38 | 2016 |
| Lie of the weak: Inconsistent corporate social responsibility activities of Chinese zombie firms S Han, G Li, M Lubrano, Z Xun Journal of Cleaner Production 253, 119858, 2020 | 29 | 2020 |
| The econometrics of inequality and poverty. Lecture 4: Lorenz curves, the Gini coefficient and parametric distributions M Lubrano Manuscript available online at http://www. vcharite. univ-mrs. fr/PP/lubrano …, 2013 | 28 | 2013 |
| Modeling multivariate interest rates using time-varying copulas and reducible nonlinear stochastic differential equations R Bu, L Giet, K Hadri, M Lubrano Journal of Financial Econometrics 9 (1), 198-236, 2011 | 28 | 2011 |
| A minimum Hellinger distance estimator for stochastic differential equations: An application to statistical inference for continuous time interest rate models L Giet, M Lubrano Computational statistics & data analysis 52 (6), 2945-2965, 2008 | 28 | 2008 |
| Density inference for ranking European research systems in the field of economics M Lubrano, C Protopopescu Journal of Econometrics 123 (2), 345-369, 2004 | 27 | 2004 |
| Bayesian analysis of switching regression models M Lubrano Journal of econometrics 29 (1-2), 69-95, 1985 | 25 | 1985 |
| Optimal lockdowns for COVID‐19 pandemics: Analyzing the efficiency of sanitary policies in Europe E Gallic, M Lubrano, P Michel Journal of Public Economic Theory 24 (5), 944-967, 2022 | 23 | 2022 |
| Bayesian inference in dynamic disequilibrium models: an application to the Polish credit market L Bauwens, M Lubrano Econometric Reviews 26 (2-4), 469-486, 2007 | 22 | 2007 |
Luc BauwensProfessor of Economics, Université catholique de LouvainVerified email at uclouvain.be
