CURRENT TEACHING 


Teaching awards in 2023 and 2024.


This course provides an introduction to Development Economics, along with practical econometric tools applicable in real-world contexts. It covers a range of topics including education, climate change, gender equality, the psychology of poverty, labor misallocation in the public and private sectors. Each module will review the latest research and influential papers, guiding students to identify the main gaps in the existing literature. Furthermore, it will help students develop skills in interpreting regression tables through practical examples using RCTs, IV, diff-in-diff, and RDD methodologies. It will delve into theoretical models and connect theory with empirics. 



This course introduces development economics, combining key theoretical models with empirical evidence on economic behavior and policy in developing countries. It begins with growth theory to identify drivers of economic growth and provide a benchmark for assessing market imperfections. The course then examines markets and institutions, focusing on labor and credit markets and how their imperfections affect the poor and shape policy. It also covers education and gender, emphasizing evidence from field experiments. Throughout, simple models are used to generate testable predictions, followed by empirical findings and policy implications.



This course focuses on data analytics methods and econometric models, with an emphasis on the practical application of statistical techniques for decision-making. The course teaches how to use regression models to analyze relationships between variables and generate predictions.



This course examines crisis management from the perspective of managers and consultants, emphasizing the integration of strategic thinking and ethical awareness. Using case studies and crisis simulations, it combines conceptual frameworks with experiential learning to strengthen strategic, team management, and communication skills in high-stress situations.


PAST TEACHING 


Teaching awards in 2018 and 2019.


This course teaches regression skills, including modeling and estimation. The course will deepen understanding of hypothesis testing and how to make inferences and predictions from data. The course has an intense focus on managerially relevant applications, cases, and interpretations.  



This course introduces topics within development economics and political economy, reviewing the frontier of the literature, the latest questions, methods most prevalently used, and the evidence thus far. The class focuses on empirical methods and their connection with theory. The course goal is assisting students as they transition into the research phase of their career.



This course provides a solid grounding in recent developments in applied micro-econometrics, combining analytical and computer-based exercises with readings of applied research papers to build practical experience. Topics include experimental and quasi-experimental methods for causal inference, panel data techniques, discrete choice models, and maximum likelihood estimation.


Teaching award in 2016.


The course introduces students to the quantitative evaluation of public policies with the help of regression based evaluation methods and cost-benefit analysis.