Monica Costa Dias

Research Fellow

Institute for Fiscal Studies, London

externe Webseite CV

Forschungsinteressen

Monica received her PhD from the University of London in 2002. She now is Research Economist at the Department of Economics, University of Porto, and is Senior Research Economist and the Institute for Fiscal Studies. Her current research interests include the determinants and dynamics of labour supply and human capital, the evaluation and design of eductional and employment policies in dynamic economies and the development of econometric methods for policy evaluation.

She joined IZA as a Research Fellow in March 2009.

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IZA-Publikationen

IZA Discussion Paper No. 13500
The Gendered Division of Paid and Domestic Work under Lockdown
Alison Andrew, Sarah Cattan, Monica Costa Dias, Christine Farquharson, Lucy Kraftman, Sonya Krutikova, Angus Phimister, Almudena Sevilla
published in: Fiscal Studies, 2022, 43 (4), 325 - 340
IZA Discussion Paper No. 12310
Wages, Experience and Training of Women over the Lifecycle
Richard Blundell, David Goll, Monica Costa Dias, Costas Meghir
published in: Journal of Labor Economics, 2021, 39 (S1), S275–S315
IZA Discussion Paper No. 8450
Policy Discontinuity and Duration Outcomes
Gerard J. van den Berg, Antoine Bozio, Monica Costa Dias
published in: Quantitative Economics, 2020, 11 (3), 871- 916
IZA Discussion Paper No. 7375
Female Labour Supply, Human Capital and Welfare Reform
Richard Blundell, Monica Costa Dias, Costas Meghir, Jonathan Shaw
published in: Econometrica, 2016, 84 (5), 1705-1753
IZA Discussion Paper No. 3800
Alternative Approaches to Evaluation in Empirical Microeconomics
Richard Blundell, Monica Costa Dias
published in: Journal of Human Resources, 2009, 44 (3), 565-640
IZA Discussion Paper No. 3280
The Matching Method for Treatment Evaluation with Selective Participation and Ineligibles
Monica Costa Dias, Hidehiko Ichimura, Gerard J. van den Berg
revised version published as 'Treatment Evaluation With Selective Participation and Ineligibles' in: Journal of the American Statistical Association, 108(502) 2013, 441-455
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