Veda Narasimhan is an Assistant Professor of Economics in the Social Science Division at NYU Abu Dhabi. Before that, she pursued a PhD in Economics at the University of Zurich. She is an applied micro-economist, working at the intersection between political economy and development economics. Her research looks at how political institutions impact local development and the extent to which rural development programs impact both aggregate growth and urbanization. Her current research projects focus on India, with topics related to migration, trade, urbanization, and local economic development.
Narasimhan holds an MSc in Economics from the London School of Economics and Political Science. Before this, she received a BA in Economics with a Minor in Political Science from McGill University.
Courses Taught
The main purpose of the course is to equip students with the quantitative foundations for conducting empirical research in economics. Additionally, students will learn how to understand, interpret and effectively critique empirical economic analysis by exposing them to scientific papers that effectively use a variety of econometric tools. We will generally focus on understanding the different contexts and methods that allow us to obtain causal effects. Distinguishing which correlations between economic variables represent a causal relationship is crucial for policy analysis. Finally, students will gain experience in the process of conducting research by selecting a question of interest, sourcing the relevant data, selecting the appropriate econometric tools for analysis, and writing up and presenting the findings of their project to a research-oriented audience.
Prerequisites: ECON-GH 5200 and ECON-GH 5900
Previously taught: Spring 2021, Spring 2022, Spring 2023, Spring 2024
Spring 2025;
14 Weeks John Ham
-
TR 14:10 - 15:25
Taught in Abu Dhabi
Spring 2025;
14 Weeks TR 12:45 - 14:00
Taught in Abu Dhabi
This course appears in...
Masters Programs > Economics MSc
Social Science research and policy analysis rely heavily on observational data. Students learn to analyze such data and apply appropriate statistical techniques to address various empirical questions. Topics include multivariate regression and classification analysis as well as time series modeling and forecasting. The course emphasizes applications of these techniques using statistical software.
Prerequisites: SOCSC-UH 1010Q and (MATH-UH 1013Q or SOCSC-UH 1101)
Previously taught: Fall 2018, Spring 2019, Fall 2019, Spring 2020, Fall 2020, Spring 2021, Fall 2021, Spring 2022, Fall 2022, Spring 2023, Fall 2023, Spring 2024, Summer 2024, Fall 2024
Spring 2025;
14 Weeks Veda Narasimhan
-
TR 09:55 - 11:10
Taught in Abu Dhabi
Spring 2025;
14 Weeks F 14:20 - 15:35
Taught in Abu Dhabi
Spring 2025;
14 Weeks W 15:35 - 16:50
Taught in Abu Dhabi
Spring 2025;
14 Weeks Veda Narasimhan
-
TR 14:10 - 15:25
Taught in Abu Dhabi
Spring 2025;
14 Weeks W 17:00 - 18:15
Taught in Abu Dhabi
Fall 2025;
14 Weeks R 17:00 - 18:15
Taught in Abu Dhabi
Fall 2025;
14 Weeks F 08:00 - 09:15
Taught in Abu Dhabi
Fall 2025;
14 Weeks Pauline Corblet
-
TR 08:30 - 09:45
Taught in Abu Dhabi
Fall 2025;
14 Weeks Pauline Corblet
-
TR 09:55 - 11:10
Taught in Abu Dhabi
Fall 2025;
14 Weeks F 09:25 - 10:40
Taught in Abu Dhabi
This course appears in...
Majors > Business, Organizations and Society > Methods and Analytics Electives
Majors > Economics
Majors > Political Science > Methods Electives
Majors > Social Research and Public Policy > Methods Electives
