11.5 hausman's specification test
11.6 empiri,cal examples
notes
problems
references
appendix
12 pooling time-series of cross-section data
12.1 introduction
12.2 the error components model
12.2.1 the fixed effects model
12.2.2 the random effects model
12.2.3 maximum likelihood estimation
12.3 prediction
12.4 empirical example
12.5 testing in a pooled model
12.6 dynamic panel data models
12.6.1 empirical illustration
12.7 program evaluation and difference-in-differencesestimator
12.7.1 the difference-in-differences estimator
problems
references
13 limited dependent variables
13.1 introduction
13.2 the linear probability model
13.3 functional form: logit and probit
13.4 grouped data
13.5 individual data: probit and logit
13.6 the binary response model regression
13.7 asymptotic variances for predictions and marginaleffects
13.8 goodness of fit measures
13.9 empirical examples
13.10 multinomial choice models
13.10.1 ordered response models
13.10.2 unordered response models
13.11 the censored regression model
13.12 the truncated regression model
13.13 sample selectivity
notes
problems
references
appendix
14 time-series analysis
14.1 introduction
14.2 stationarity
14.3 the box and jenkins method
14.4 vector autoregression
14.5 unit roots
14.6 trend stationary versus difference stationary
14.7 cointegration
14.8 autoregressive conditional heteroskedasticity
note
problems
references
appendix
list of figures
list of tables
index

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