Title: Econometric Analysis of Panel Data
1Econometric Analysis of Panel Data
- Lagged Dependent Variables
- Pooled (Constant Effects) Model
- Fixed Effects Model
- Random Effects Model
- First Difference Model
- Arellano-Bond Estimator
2Lagged Dependent Variable
- Pooled (Constant Effects) Model
- If eit is serially correlated,
- Endogenous regressor OLS is inconsistent.
- Lags of xit can be used for IVs under weak
exogeneity assumption of the model
3Lagged Dependent Variable
- Pooled (Constant Effect) Model IV
4Lagged Dependent Variable
- Fixed Effects Model
- Even if eit are serially uncorrelated,
5Lagged Dependent Variable
- Fixed Effects Model
- Lags of yit can not be used for instrumental
variables. The only choices are xit and lags of
xit which depends on the exogeniety assumption of
the model. - Under strong exogeneity assumption E(eitXi)0
6Lagged Dependent Variable
7Lagged Dependent Variable
- Random Effects Model
- Even if eit are serially uncorrelated,
8Lagged Dependent Variable
- Random Effects Model
- Lags of yit can not be used for instrumental
variables. The only choices are xit and lags of
xit which depends on the exogeniety assumption of
the model. - Under strong exogeneity assumption E(eitXi)0
9Lagged Dependent Variable
10Lagged Dependent Variable
- First Difference Model
- Assuming eit are serially uncorrelated,
11Lagged Dependent Variable
- First Difference Model
- Anderson-Hsiao (1981) Estimator
- Using yit-2 as an instrument for Dyit-1
- Arellano-Bond (1991) Estimator
- Using yit-2, yit-3, yit-4, as instruments for
Dyit-1
12Lagged Dependent Variable
- First Difference Model
- IV for Anderson-Hsiao Estimator
13Lagged Dependent Variable
- First Difference Model
- IV for Arellano-Bond Estimator
14Example Returns to Schooling
- Cornwell and Rupert Model (1988)
- Data (575 individuals over 7 years)
- Dependent Variable yit
- LWAGE log of wage
- Explanatory Variables xit
- Time-Variant Variables x1it
- EXP work experience WKS weeks worked ?
endogenous OCC occupation, 1 if blue collar,
IND 1 if manufacturing industrySOUTH 1 if
resides in southSMSA 1 if resides in a city
(SMSA)MS 1 if married UNION 1 if wage set
by union contract - Time-Invariant Variables x2i
- ED years of education ? endogenous FEM 1 if
femaleBLK 1 if individual is black