Munir Squires
Assistant Professor at the Vancouver School of Economics, University of British Columbia.
Research Interests
Development economics
Kinship and culture
Contact
Vancouver School of Economics
6000 Iona Drive
Vancouver, BC Canada, V6T 1L4
Published / Accepted
Economic Consequences of Kinship: Evidence From U.S. Bans on Cousin Marriage (with Arkadev Ghosh and Sam Il Myoung Hwang)
Forthcoming, Quarterly Journal of Economics (link)
Links and legibility: Making sense of historical US Census automated linking methods (Tables and figures) (Appendix) (with Arkadev Ghosh and Sam Il Myoung Hwang)
Forthcoming, The Journal of Business and Economic Statistics (link)
Previous version, with comparative evaluation of migration across linking algorithms: Main text, Tables and figures, Appendix
Linking Mobile Money Networks to “e-ROSCAs”: An Experimental Study (with Patrick Francois)
Science Advances, Jan 2021
Health Knowledge and Non-Pharmaceutical Interventions During the COVID-19 Pandemic in Africa (with Anne E. Fitzpatrick, Sabrin A. Beg, Laura C. Derksen, Anne Karing, Jason T. Kerwin, Adrienne Lucas, Natalia Ordaz Reynoso)
Journal of Economic Behavior and Organization, 2021
Working papers
Kinship Taxation as a Constraint to Microenterprise Growth: Experimental Evidence from Kenya
R&R, The Economic Journal
This paper documents strong pressure on productive entrepreneurs in a developing country setting to share their income. This ‘kinship tax’ can distort productive decisions, including investment. I conduct a lab experiment with a sample of 1805 Kenyans to quantify the importance of this tax. In my sample, one in three men men and one in five women face distortionary pressure to share income. Strikingly, this share is strongly increasing in ability, suggesting potentially large aggregate production consequences. Male entrepreneurs who receive cash grants expand their business only if they do not face distortionary kinship taxation as measured in the lab.
Linked Samples and Measurement Error in Historical US Census Data (Appendix) (with Sam Il Myoung Hwang)
Submitted
The quality of historical US census data is critical to the performance of linking algorithms. We use genealogical profiles to correct errors in census names and ages. Our findings suggest a quarter to a half of names and ages are reported with error. While errors in age decline across subsequent census rounds from 1850 to 1930, errors in names do not. Error rates are decreasing in human capital. Correcting ages and names leads to 20-40% more links and fewer false positives. Reassuringly, we find that reducing such errors has no effect on estimates of intergenerational mobility.
Work in progress
Family ties and migration: Evidence from historical U.S. census data (with Arkadev Ghosh and Sam Il Myoung Hwang)
Selection and Impact of Modern Industrial Employment: Field Experimental Evidence from a Chinese Factory in Tanzania (with David Yang and Noam Yuchtman)