Dr. Karim Nchare

Short Bio

Dr. Karim Nchare is an Assistant Professor at the African School of Economics and a Visiting Research Scholar at the Department of Politics of Princeton University. He has advanced skills in field-based socio-economic research methods including preparation of survey tools, supervising data collection, performing data analysis, and writing technical reports. His research interests include the development of causal inference methods in presence of censoring, misreporting, and measurement errors with application to Development Economics (Agriculture, Education, Industrial Organization, Political Economy). Dr. Nchare received his Ph.D. in Economics from the Pennsylvania State University with a concentration in Econometrics. He also holds an MSc in Applied Statistics from Ecole Normale Superieure de Statistiques et d’Economie Appliquee (ENSEA), and an MSc in Economics from the University of Montreal. He is fluent in English and French.  

Selected Publications

• Partial Identi cation of Preferences and Counterfactuals in discrete choice models
  with inattention," 2019
• Quantile Di erence in Di erences with Time-varying Quali cation in Panel Data,"
  2020 (With Ryo Makioka), submitted.
•  "Dogit Model and Rational Inattention," 2021 submitted.
  

To access the lecture by Dr. Nchare, please click here.

Project Description

Title: Assessing African Regional Integration Potential: A Data Envelopment Analysis

This project proposes a quantitative approach to estimate untapped regional integration potential across the African Continent. We first construct an empirical production possibility frontier for regional integration outcomes based on two composite indices capturing respectively enabling factors and achieved levels of regional integration outcomes across various domains. As the composite index of achieved regional integration, we use the African Regional Integration Index (ARII) which aggregates information from various empirical indicators covering five dimensions of regional integration: trade integration, productive integration, macroeconomic integration, infrastructural integration, and movement of people. We then use data envelopment analysis to rate the performance of subregions in terms of integration relative to their estimated potential. The obtained efficiency scores allow us to quantify and compare the empirical magnitudes of untapped integration potential across countries and subregions. From a policy perspective, the proposed approach can be used to assess achievements in targeting subregions with certain needs and in identifying appropriate policy interventions that aimed at fostering higher integration in each subregion.