Handbook of EconometricsEdited By
- Robert Engle
- Dan McFadden
This is the fourth volume of the Handbook of Econometrics. The Handbook is a definitive reference source and teaching aid for econometricians. It examines models, estimation theory, data analysis and field applications in econometrics. Comprehensive surveys, written by experts, discuss recent developments at a level suitable for professional use by economists, econometricians, statisticians, and in advanced graduate econometrics courses.
Handbooks in Economics
Hardbound, 1078 Pages
Published: December 1994
The assimilation of new techniques into the existing literature is generally superb. The editors have delivered on the promises of this series as stated above. Even with 16 chapters and over a thousand pages, they admit there are topics to be covered in future volumes.
Esfandiar Maasoumi, Mathematical Reviews
- Econometric Theory. Large sample estimation and hypothesis testing (W.K. Newey, D. McFadden). Empirical process methods in econometrics (D.W.K. Andrews). Applied nonparametric methods (W. Härdle, O. Linton). Methodology and theory for the bootstrap (P. Hall). Classical estimation methods for LDV models using simulation (V.A. Hajivassiliou, P.A. Ruud). Estimation of semiparametric models (J.L. Powell). Restrictions of economic theory in nonparametric methods (R.L. Matzkin). Analog estimation of econometric models (C.F. Manski). Testing non-nested hypotheses (C. Goureirorux, A. Monfort). Theory and Methods for Dependent Processes. Estimation and inference for dependent processes (J.M. Wooldridge). Unit roots, structural breaks and trends (J.H. Stock). Vector autoregressions and cointegration (M.W. Watson). Aspects of modelling nonlinear time series (T. Teräsverta, D. Tjøstheim, C.W.J. Granger). ARCH models (T. Bollerslev, R.F. Engle, D.B. Nelson). State-space models (J.D. Hamilton). Structural estimation of Markov decision processes (J. Rust).