Title: Econometric Analysis of Panel Data
1Econometric Analysis of Panel Data
- Panel Data Analysis Extension
- Generalized Random Effects Model
- Seemingly Unrelated Regression
- Cross Section Correlation
- Parametric representation
- Spatial dependence defined by cross section
contiguity or distance
2Panel Data Analysis Extension
- Generalized Random Effects Model
3Panel Data Analysis Extension
- Seemingly Unrelated Regression
4Panel Data Analysis Extension
- Cross Section Correlation
- Unobserved heterogeneity fixed effects or random
effects - OLS with robust inference
- GLS allowing time serial correlation
5Panel Data Analysis Extension
- Cross Section Correlation
- Parametric Representation
6Panel Data Analysis Extension
- Spatial Lag Variables
- Spatial Weights
7Panel Data Analysis Extension
- Spatial Lag Model
- OLS is biased and inconsistent
- Unobserved heterogeneity fixed effects or random
effects - Observed heterogeneity
8Panel Data Analysis Extension
- Spatial Error Model
- Unobserved heterogeneity
- Fixed effects
- Random effects
- Observed heterogeneity
9Panel Data Analysis Extension
- Spatial Panel Data Analysis
- Model specification could be a mixed structure of
spatial lag and spatial error model. - Unobserved heterogeneity could be fixed effects
or random effects. - OLS is biased and inconsistent Consistent IV or
2SLS should be used, with robust inference. - If normality assumption of the model is
maintained, efficient ML estimation could be used
but with computational complexity. - Efficient GMM estimation is recommended.
10Panel Data Analysis Extension
- Panel Spatial Model Estimation
- IV / 2SLS / GMM
- Instrumental variables for the spatial lag
variable Wyt Xt, WXt, W2Xt, - W is a predetermined spatial weights matrix based
on geographical contiguity or distance
11Panel Data Analysis Extension
- Space-Time Dynamic Model
- Arellano-Bond estimator may be extended to
include cross section correlation in the
space-time dynamic models.
12Example U. S. Productivity
- The Model (Munnell 1988)
- One-way panel data model
- 48 U.S. lower states
- 17 years from 1970 to 1986
- Variables gsp (gross state output) cap (private
capital) 3 components of public capital (hwy,
water, util) emp (labor employment) unemp
(unemployment rate)
13Example U. S. Productivity
- Spatial Panel Data Model
- Cross Section Correlation
- Cross section dependence is defined by state
contiguity if state i is adjacent with state j,
then wij1 otherwise wij0. The spatial weights
matrix W is then row-standardized with diagonal
0. - Pooled, fixed effects, random effects models are
all biased and inconsistent. IV or 2SLS methods
should be used with proper instruments.
14Example U. S. Productivity
- Spatial Panel Data Model
- Space-Time Dynamics