Michela Bia is a Research Fellow in the field of “Program Evaluation” at the Luxembourg Institute of Socio-Economic Research, LISER.
In 2006, she has been Visiting Student Researcher at the Department of Agricultural & Resource Economics of the University of California in Berkeley. She received her PhD in Applied Statistics from the University of Florence in 2007 and worked from 2007-2009 as Researcher at Laboratorio Revelli of Collegio Carlo Alberto in Turin. She has been teaching statistics and econometrics at the University of Turin, Milan, University of Piemonte Orientale “Amedeo Avogadro”, Pompeu Fabra, Potsdam University and University of Luxembourg.
In 2010 she received a Post-Doc Position at LISER supported by the Fond National de la Recherché (FNR) of Luxembourg, to develop semiparametric and nonparametric techniques for the estimation of direct, indirect causal effects in policy evaluation. She also won a European Social Fund (ESF) project for the 'Evaluation of Active Labour Market Policies in Luxembourg', co-financed by the Ministry of Labour, Employment and the Social and Solidarity Economy of Luxembourg and LISER during the period of October 2015-January 2018 (amount: €485,000). She was involved in the 'Childcare Project' financed by the FNR between January 2014 and February 2018, for the definition of optimal policies in the market for childcare using data from Luxembourg. She is currently collaborating in the 'Parent Project', for the evaluation of parental leave policies in Luxembourg.
Her main fields of interest are: causal Inference, program evaluation, nonparametric methods, panel data, high-dimensional data, labour market.
Her works have been published on The Stata Journal, Statistical Methods and Applications, Advances in Latent Variables, Applied Economics Letters, BMJ, Journal of the Royal Statistical Society: Series A. The Stata softwares developed in 2008 and 2014 are downloadable from the Boston College Department of Economics (Statistical Software Components). She recently got a paper accepted at the Journal of Business and Economic Statistics.
Evaluation of parental leave in Luxembourg, focus on couples’ strategies and the role of workplace characteristics (CORE) (PARENT)
- BIA Michela, MATTEI Alessandra, MERCATANTI Andrea. Assessing Causal Effects in a longitudinal observational study with ‘truncated’ outcomes due to unemployment and nonignorable missing data. Journal of Business and Economic Statistics, 2019 (accepted with minor revision). LYGIDAKIS Charilaos, UWIZIHIWE Jean Paul, KALLESTRUP Per, BIA Michela, CONDO Jeanine, VÖGELE Claus. Community- and mHealth-based integrated management of diabetes in primary healthcare in Rwanda (D²Rwanda): the protocol of a mixed-methods study including a cluster randomised controlled trial. BMJ Open, 2019, vol. 9, n°7 (First Online: 24 July 2019). BLANCO German, BIA Michela. Inference for treatment effects of job training on wages: using bounds to compute Fisher’s exact p-value. Applied Economics Letters, 2019, vol. 26, n°17, pp. 1424-1428. BELLANI Luna, BIA Michela. The long-run effect of childhood poverty and the mediating role of education. Journal of the Royal Statistical Society - Statistics in Society Series A, 2019, vol. 182, n°1, pp. 37-69. BIA Michela, FLORES Carlos A., FLORES-LAGUNES Alfonso, MATTEI Alessandra. A Stata package for the application of semiparametric estimators of dose-response functions. The Stata Journal, 2014, vol. 14, n°3, pp. 580-604. BIA Michela, VAN KERM Philippe. Space-filling location selection. Stata Journal, 2014, vol. 14, n°3, pp. 605-622. BIA Michela, MATTEI Alessandra. Assessing the Effect of the Amount of Financial Aids to Piedmont Firms Using the Generalized Propensity Score. Statistical Methods & Applications, 2012, vol. 21, n°4, pp. 485-516. PASQUARIELLO Massimo, BIA Michela, CASSONE Alberto. Local labour systems of North-West Italian regions: the results of a territorial economic analysis trough the principal component analysis. Rivista di Economia e Statistica del Territorio, 2011, n°1, pp. 43-81. BIA Michela, MATTEI Alessandra. A Stata Package for the Estimation of the Dose-Response Function through Adjustment for the Generalized Propensity Score, The Stata Journal, 2008, vol. 8, n°3, pp. 354-437.
- BELLANI Luna, BIA Michela. The impact of growing up poor in Europe. In: Anthony B. Atkinson, Anne-Catherine Guio and Eric Marlier (Eds.) Monitoring social inclusion in Europe. Luxembourg: Publications office of the European Union, 2017, pp. 449-462.
Contributions to Conference Proceedings
- BIA Michela, FLORES Carlos A., FLORES-LAGUNES Alfonso, MATTEI Alessandra. Semiparametric estimators of dose-response functions. In : University of Brescia, Department of Economics and Management. Advances in Latent Variables. Milan: Eds. Brentari E., Carpita M., Vita e Pensiero, 2013.