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Panel Data Analysis Using GAUSS

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Presentation on theme: "Panel Data Analysis Using GAUSS"— Presentation transcript:

1 Panel Data Analysis Using GAUSS
1 Kuan-Pin Lin Portland State University

2 Panel Data Analysis Introduction
Panel Data Definition Unbalanced Panel Balanced Panel: Short Panel: Long Panel: Panel Data Analysis Unobserved Heterogeneity Cross Section and Time Series Correlation

3 Panel Data Analysis Introduction
Model Representation N-first or T-first representation Pooled Model Fixed Effects Model Random Effects Model Asymptotic Theory N→∞, or T→∞ N→∞, T→∞ Panel-Robust Inference

4 Panel Data Analysis Introduction
The Model One-Way (Individual) Effects: Unobserved Heterogeneity Cross Section and Time Series Correlation

5 Panel Data Analysis Introduction
N-first Representation Dummy Variables Representation T-first Representation

6 Panel Data Analysis Introduction
Notations

7 Pooled (Constant Effects) Model

8 Fixed Effects Model ui is fixed, independent of eit, and may be correlated with xit.

9 Fixed Effects Model Fixed Effects Model Classical Assumptions
Strict Exogeneity: Homoschedasticity: No cross section and time series correlation: Extensions: Panel Robust Variance-Covariance Matrix

10 Random Effects Model Error Components
ui is random, independent of eit and xit. Define the error components as eit = ui + eit

11 Random Effects Model Random Effects Model Classical Assumptions
Strict Exogeneity X includes a constant term, otherwise E(ui|X)=u. Homoschedasticity Constant Auto-covariance (within panels)

12 Random Effects Model Random Effects Model
Classical Assumptions (Continued) Cross Section Independence Extensions: Panel Robust Variance-Covariance Matrix

13 Example: Investment Demand
Grunfeld and Griliches [1960] i = 10 firms: GM, CH, GE, WE, US, AF, DM, GY, UN, IBM; t = 20 years: Iit = Gross investment Fit = Market value Cit = Value of the stock of plant and equipment

14 Example: Output Function
Cobb-Douglas Output Function i = 30 provinces; t = 11 years: ln(GDP)it = Log real GDP ln(L)it = Log Labor Employment ln(K)it = Log Capital Stock

15 References B. H. Baltagi, Econometric Analysis of Panel Data, 4th ed., John Wiley, New York, 2008. W. H. Greene, Econometric Analysis, 7th ed., Chapter 11: Models for Panel Data, Prentice Hall, 2011. C. Hsiao, Analysis of Panel Data, 2nd ed., Cambridge University Press, 2003. J. M. Wooldridge, Econometric Analysis of Cross Section and Panel Data, The MIT Press, 2002.


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