@article{22382,
      note = {Contents : Part 1. The basics of regression analysis : 1.  Introduction to the regression model; 2. Elementary  statistics : a review; 3. The two-variable regression  model; 4. The multiple regression model; Part 2.  Single-equation regression models : 5. Using the multiple  regression model; 6. Serial correlation and  heteroscedasticity; 7. Instrumental variables and model  specification; 8. Forecasting with a single-equation  regression model; 9. Single-equation estimation : advanced  topics; 10. Nonlinear and maximum-likehood estimation; 11.  Models of qualitative choice; Part 3. Multi-equation models  : 12. Simultaneous-equation estimation; 13. Introduction to  simulation models; 14. Dynamic behavior of simulation  models; Part 4. Time-series models : 15. Smoothing and  extrapolation of time series; 16. Properties of stochastic  time series; 17. Linear time-series models; 18. Estimating  and forecasting with time-series models; 19. Applications  of time-series models;.},
      author = {Pindyck, Robert S., and Rubinfeld, Daniel L. and Pindyck,  Robert S.,},
      url = {http://tind.wipo.int/record/22382},
      title = {Econometric models and economic forecasts /},
      abstract = {This well known text helps students understand the art of  model building - what type of model to build, building the  appropriate model, testing it statistically, and applying  the model to practical problems in forecasting and  analysis.},
      recid = {22382},
      pages = {xx, 634 pages :},
}