Details of HU4102 (Autumn 2020)
| Level: 4 | Type: Theory | Credits: 4.0 |
| Course Code | Course Name | Instructor(s) |
|---|---|---|
| HU4102 | Applied Micro-econometrics | Tushar Kanti Nandi |
| Preamble |
|---|
| This course is intended to be a detailed treatment of a few topics in microeconometrics analysis, the analysis of individual level data on the economic behaviour of individuals or firms. The analysis often entails application of regression method using cross sectional and panel data. The course will also provide an introduction on the role big data methods may play in the domain of econometrics.
Econometric models are used to analyse (causal) relationship between economic variables, predict economic outcomes, and evaluate policy interventions. The focus of course would be on the application of models to identify the causal relationship between economic variables. A maximum of 50 students can be taken for this course. |
| Syllabus |
|---|
| The course will cover the following topics
> Linear regression > Instrumental variable estimation > Probit/logit model > Sample selection model > Censored regression > Fixed and random effect models of panel data > Matching estimation > Randomised control trial > Quantile regression > Big data and applied econometrics Throughout the course, the emphasis will be on the application of the model using simulated or survey data. The plan is to devote half of the classes for application using software like Matlab or R in computer lab. The course will also touch upon the economic theory behind the applications. |
| Prerequisite |
|---|
| Introduction to Economics (HU3201)
A maximum of 60 students can be taken for this course. |
| References |
|---|
| Books:
Microeconometrics: Methods and Applications by A. Colin Cameron and Pravin K. Trivedi. Econometric Analysis by William H. Greene. |
Course Credit Options
| Sl. No. | Programme | Semester No | Course Choice |
|---|---|---|---|
| 1 | IP | 1 | Not Allowed |
| 2 | IP | 3 | Not Allowed |
| 3 | IP | 5 | Elective |
| 4 | MR | 1 | Not Allowed |
| 5 | MR | 3 | Not Allowed |
| 6 | MS | 3 | Not Allowed |
| 7 | MS | 5 | Not Allowed |
| 8 | MS | 7 | Elective |
| 9 | MS | 9 | Elective |
| 10 | RS | 1 | Not Allowed |
| 11 | RS | 2 | Not Allowed |