Damian Clarke is an Associate Professor in the Department of Economics of The University of Chile. He is also a Research Associate at The Centre for the Study of African Economies, Oxford and at the Research Centre on Micro-Social Change, Essex.

Damian's research is centred around maternal and child health, and family fertility decisions. In particular he studies the impact of public programs on maternal mortality and morbidity, early life health outcomes for children, and the determinants of parental investment in children. He is also interested in applied microeconometrics, and is an author of a number of open-source software routines for microeconometric methods.

Damian received his DPhil in Economics at the University of Oxford in 2016, and an MSc in Economics for Development at Oxford in 2012. He has provided policy inputs or background papers for a number of international organisations including the World Bank, UNESCO, UNU-WIDER, CAF Development Bank, and the Chilean Ministry of Education.

Damian Clarke joined IZA as an IZA Research Fellow in May 2018.

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IZA Publications

IZA Discussion Paper No. 14659
Damian Clarke, Manuel Llorca-Jaña, Daniel Pailañir
published in: Historical Methods, 2023, 56 (2), 115-132
IZA Discussion Paper No. 13524
Damian Clarke, Kathya Tapia Schythe
published in: Stata Journal, 2021, 21 (4), 853 - 884. [revised version]
IZA Discussion Paper No. 13134
Damian Clarke, Viviana Salinas
published in: Demography, 2021, 58 (6), 2291 - 2314.
IZA Discussion Paper No. 12845
Damian Clarke, Joseph P. Romano, Michael Wolf
published in: Stata Journal, 2020, 13 (4), 812-843
IZA Discussion Paper No. 11890
published in: Journal of Health Economics, 2021, 76 (C), 102413
IZA Discussion Paper No. 11878
published in: Journal of the European Economic Association, 2020, 18 (6), 3090-3139
IZA Discussion Paper No. 11847
Damian Clarke, Gustavo Cortés Méndez, Diego Vergara Sepúlveda
published in: Journal of Population Economics, 2020, 33 (3), 883-956
IZA Discussion Paper No. 11742
published in: Review of Economics and Statistics, 2019, 101 (5), 853-864
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