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The linear regression model: an overview Functional forms of regression models Qualitative explanatory variables regression models Regression diagnostic I: multicollinearity Regression diagnostic II: heteroscedasticity Regression diagnostic HI: autocorrelation Regression diagnostic IV: model specification errors The logit and probit models Multinomial regression models Ordinal regression models Limited dependent variable regression models Modeling count data: the Poisson and negative binomial regression models Stationary and nonstationary time series Cointegration and error correction models Asset price volatility: the ARCH and GARCH models Economic forecasting Panel data regression models Survival analysis Stochastic regressors and the method of instrumental variables Data sets used in the text Statistical appendix