About Me

I am a PhD Candidate in economics at McGill University. My research focuses on topics in labour economics and applied econometrics.
For my emprirical studies, I am using large employer-employees dataset to understand markets and firms, gender inequality, and sorting between workers and firms in developed and developing countries.
  • Name: Mamadou Yaya DIALLO
  • Email:

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2016-February 2024

P.h.D Candidate in economics.

McGill University, Montreal, Canada


Master in Economics.

Laval University, Quebec city, Canada


Master in Statistics.

ENSAE, Dakar, Sénégal




Enterprise Analysis Unit, World Bank Group


Research Assistant

Institute for the Study of International Development (ISID) - McGill


Research Assistant

Laval University - Quebec City


Research analyst

International Food Policy Research Institute - IFPRI

Working papers

  • Diallo Y., Sarr I., Diagne I. "Employer-Employees Construction and Labor Market Inequality: Evidence from Senegal." (Working Paper) -- (Slides)

    In the paper, we collaborate with several Senegalese governmental agencies to build the first longitudinal employer-employee dataset in a Sub-Saharan African country. The resulting linked employer-employee dataset in Senegal covers approximately 10% of total employment and presents an opportunity to extend the existing research on wage-setting in low-income countries. Our findings indicate that the share of wages explained by firms in Senegal is greater than what is typically observed in the literature, as reviewed by Card et al. (2018).

  • Diallo Y. "Child Penalties: Evidence from Canadian Data." Working paper. here.

    The paper provides evidence of the impact of children on parents' labor market outcomes in Canada, commonly referred to as 'child penalties.' Using rich administrative data, I estimate child penalties across Canadian provinces. I leverage variations introduced by the 2006 Quebec reform to examine the impact of a generous parental leave policy on men's and women's earnings and participation.

  • Diallo Y., Fabian L. "Peer Effects at Work on Parental Leave." Working paper. here.

    We examine the role of social interaction in governmental program participation, specifically focusing on the 2006 Quebec Parental Insurance Plan (QPIP). It investigates whether a father's decision to take parental leave is influenced by the choices made by his co-workers regarding paternity leave. We use the Canadian-matched employer-employee datasets to identify new fathers and their co-workers. The findings reveal that fathers are more inclined to take paternity leave when their male colleagues also opt for parental leave.

  • Sarr I., Diallo Y., Diagne I. “TFP Estimation at the Firm Level: Do Fiscal Pressure, the Legal Form, and the LocalCompetition Matter for Firm Performance in Senegal”, Working paper, July 2021. here.

    This paper reviews the state of the art in firm-level Total Factor Productivity (TFP) estimation by employing an unbalanced panel of 4,501 Senegalese firms in the Construction and Trade Services industries over the period 2008–2018. The three semi-parametric models considered: Olley and Pakes (1996) -OP, Levisohn and Petrin (2003)’s LP, and Ackerberg et al. (2015) -ACF. Our findings are summarized as: (i) the ACF produces insignificant capital and labor coefficients for both Construction and trade services industries, while LP produces the best alternative within semi-parametric models and it is better than OP; (ii) tax pressure adversely affects TFP and the adverse effect is found to be severe in the groups of trades services firms, suggesting that the distortive nature of corporate tax affects disproportionately firms across the sectors. The results also suggest that the local economic environment plays a role on firm performance in the trade industry.

Research Projects



joint with Fabian Lange , Professor, McGill University
Peer Effects at Work and Parental Leave: Why is Papa not more involved?

Ongoing Projects with Employee-Employer Database Construction joint with Ibrahima Sarr and Idrissa DIAGNE



Applied Labor economics using R Software

Fall, 2019 : ECON426, McGill University

In this course, I use R to guide st in manipulating actual data, conducting estimations, and testing various labor economics theories. This includes exploring concepts such as the elasticity of labor supply and demand, return to schooling, gender wage gap, investment in human capital, and more..

Applied Econometrics using Stata

Introduction to stata using real data to estimate and test economics models.