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Econometric Analysis of Panel Data

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Econometric Analysis of Panel Data Lagged Dependent Variables Pooled (Constant Effects) Model Fixed Effects Model Random Effects Model First Difference Model – PowerPoint PPT presentation

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Title: Econometric Analysis of Panel Data


1
Econometric Analysis of Panel Data
  • Lagged Dependent Variables
  • Pooled (Constant Effects) Model
  • Fixed Effects Model
  • Random Effects Model
  • First Difference Model
  • Arellano-Bond Estimator

2
Lagged 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

3
Lagged Dependent Variable
  • Pooled (Constant Effect) Model IV

4
Lagged Dependent Variable
  • Fixed Effects Model
  • Even if eit are serially uncorrelated,

5
Lagged 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

6
Lagged Dependent Variable
  • Fixed Effects Model IV

7
Lagged Dependent Variable
  • Random Effects Model
  • Even if eit are serially uncorrelated,

8
Lagged 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

9
Lagged Dependent Variable
  • Random Effects Model IV

10
Lagged Dependent Variable
  • First Difference Model
  • Assuming eit are serially uncorrelated,

11
Lagged 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

12
Lagged Dependent Variable
  • First Difference Model
  • IV for Anderson-Hsiao Estimator

13
Lagged Dependent Variable
  • First Difference Model
  • IV for Arellano-Bond Estimator

14
Example 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
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