Survey
* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project
* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project
Cross Sectional and Panel Data Analysis Tentative syllabus International Development Program International University of Japan Instructor: Shingo Takahashi Office: Main Building 314 Office hours: TBA Email: [email protected] Course Description: This course is a continuation of the Research Methodology which was offered in the Spring term. This course and Research Methodology constitute a sequence of two courses that teach cross sectional and panel data econometric techniques. Research methodology focused on the linear regression model. This course’s main focus is on limited dependent and qualitative variable models, such as probit and logit models, tobit models, Heckman sample selection bias correction and duration models. These models are used, for example, to analyze the labor force participation decisions or the unemployment duration. However, we also cover linear regression models that were not covered in Research methodology, such as the instrumental variable estimation. Required Text: Introductory Econometrics: A Modern Approach, by Jeffery M. Wooldridge, 4th Edition, South-Western CENGALE Learning. Additional materials: Econometrics Analysis, William Greene, Fifth Edition, Prentice Hall. Limited dependent and qualitative variables in econometrics: G.S. Maddala, Cambridge University press, 1983 Computer Software: Stata Prerequisites: Research Methodology Statistics for Business and Economics Mathematics and Computing for Economics Applied Econometrics Grading Scheme: Homework (20%), Empirical Project (35%), and Final exam (45%) TA: Outline of the lecture: 1. Heteroskedasticity (Ch8), Instrumental variable estimation (Ch 15) W1 2. Instrumental Variable Estimation and Two Stage Least Squares (Ch 15) W2 3. Simultaneous equation model (Ch 16) W2-3 4. The Maximum Likelihood Estimation W4 5. Probit and logit model (Ch 17 Wooldridge) W4-W5 (a) (b) (c) (d) Binary probit and logit models. Ordered probit and logit models. Interpretation of the coefficients. Applications 6. Censoring, truncation and the sample selection correction (Ch 17 Wooldridge) W6W7 (a) Tobit model (Censoring) (b) Truncation (Sample selection) (c) Heckman sample selection bias correction model (Heckman two step estimation) (d) Applications 7. The duration model W8-W9 (a) (b) (c) (d) Hazard function estimation Incorporating time varying explanatory variables Incorporating unobserved heterogeneity Applications Week 10: Final exam Regarding the student presentations. Student’s final group presentation will be conducted one week after the final exam during the exam week. This scheduling will allow students to use econometric models that will be taught latter part of the class. Groups will be determined earlier in the course. All the groups should use The Japanese Panel Survey of Consumers (JPSC). I will apply for the data and provide it for you.