“Empirical approaches in Social Sciences: The case of the ‘Credibility Revolution’ in Economics” is the title of the online public talk by Dr. Robert Duval Hernández , Assistant Professor and Academic Coordinator of the Postgraduate Programme in “Management, Technology and Quality” of the Faculty of Economic Sciences and Management of the Open University of Cyprus.
The online talk will be delivered on Thursday, October 21st, 2021 at 18:30 pm EEST, in the context of the module “Research Methods for Doctoral Students”. The link for the live streaming is the following: https://bit.ly/3vamhzm
The talk will present a broad non-technical overview of the main empirical approaches used nowadays in Economics, with special emphasis on the so-called “Credibility Revolution”. Dr. Duval Hernández will discuss several of the methodologies that are at the center of the research that was awarded the 2021 Sveriges Riksbank Prize in Economic Sciences in Memory of Alfred Nobel. These empirical methodologies seek to establish causal relationships with the use of non-experimental data, and because of this they are applicable in other fields beyond Economics. The presentation will be in English, and it is of main interest to students, researchers, practitioners and academics in the fields of economic sciences.
Previous to joining the Open University of Cyprus, Dr Robert Duval Hernández served as an Assistant Professor in Economics at CIDE, Mexico, a Post-Doctoral Fellow at the Center for U.S.-Mexican Studies at UCSD, and a Visiting Assistant Professor and Special Scientist at the University of Cyprus. In addition, he has been a consultant at The World Bank, as well as for research projects at the Inter-American Development Bank, the Mexican Government, and for the United Nations University World Institute for Development Economics Research, UNU-WIDER. He currently is an IZA Research Affiliate (Germany) and an External Affiliate at CIDE (Mexico). His research focuses on economic inequality and mobility, labour economics, and economic growth.