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defines index t as time series |
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defines data as panel data |
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variance inflation factor (for multicollinearity) |
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nonlinear model. Use y=ax^b |
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correct standard errors for heteroskedasticity |
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estat hettest x's, iid or fstat |
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estat hettest yhat yhat^2, iid |
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MLE estimation, fixing for heteroskedasticity |
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gen le2=ln(e*e) reg le2 x's predict le2hat, xb gen sigt=(exp(le2hat))^.5 vwls y x's, sd (sigt) |
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ac resid, lags(#) # is time period, like 12 |
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correct standard errors for autocorrelation |
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newey y x's, lags(#) #=.75(n)^(1/3) |
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Autoregressive models check for autocorrelation |
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estat durbinalt estat bgodfrey |
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MLE estimation, fixing for autocorrelation |
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prais y x's (corc) (twostep) xtserial for panel data |
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instrumental variables probit |
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instrumental variables 2 stage least squares |
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ivregress 2sls y (x1=z1) x2 x3, (first) |
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test for significance of overidentification in structural equations |
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stores iv/probit/OLS results |
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estimates store IV/PROB/OLS |
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hausman IV OLS any combination will work here |
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xtset firm_ide xtgls y x's, (panel(hetero/correlated)) |
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possible fix for normal (laplace) |
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