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Empirical Methods for Microeconomic Applications

Empirical Methods for Microeconomic Applications. William Greene Department of Economics Stern School of Business. Upload Your Project File. Global Setting for Panels. SETPANEL ; Group = the name of the ID variable

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Empirical Methods for Microeconomic Applications

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  1. Empirical Methods for Microeconomic Applications William Greene Department of Economics Stern School of Business

  2. Upload Your Project File

  3. Global Setting for Panels SETPANEL ; Group = the name of the ID variable ; PDS = the name of the groupsize variable to create $ Subsequent model commands state ;PANEL with no other specifications requred to set the panel. Some other specifications usually required for the specific model – e.g., fixed vs. random effects.

  4. Panel Data

  5. Unbalanced Panel Data Set Examine Distribution of Group Sizes Sample ; all$ Setpanel ; Group = id ; Pds = ti $ Create ; t = ndx(id,1) $ Histogram ; if[t=1] ; rhs = ti $

  6. Group Sizes

  7. Cluster Correction PROBIT ; Lhs = doctor ; Rhs = one,age,female,educ,married,working ; Cluster = ID $

  8. Fixed Effects Models ? Fixed Effects Probit. ? Looks like an incidental parameters problem. Namelist ; X = age,educ,married $ Probit ; Lhs = doctor; Rhs = X,one ; FEM ; Marginal ; Panel $ Probit ; Lhs = doctor ; Rhs = X,one ; Marginal $

  9. Computed Fixed Effects Parameters

  10. Logit Fixed Effects Models Conditional and Unconditional FE ? Logit, conditional vs. unconditional Logit ; Lhs = doctor ; Rhs = X ; Panel $ (Conditional) Logit ; Lhs = doctor ; Rhs = X ; Panel ; Fixed $

  11. A Hausman Test for Fixed Effects

  12. Random Effects and Random Constant

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