Identification and Inference for Econometric Models

Discover the intricate world of econometrics with "Identification and Inference for Econometric Models," authored by esteemed scholars and published by Cambridge University Press in 2005. This comprehensive hardback edition spans 588 pages, offering an in-depth exploration of key themes in econometric analysis.

The book delves into crucial topics such as identification and efficient estimation in econometrics, providing readers with the tools needed for effective analysis. It also addresses asymptotic approximations to the distributions of econometric estimators and tests, ensuring a solid understanding of advanced statistical methods. Moreover, the text covers inference involving potentially nonstationary time series, including processes that may exhibit a unit autoregressive root, along with nonparametric and semiparametric inference techniques.

Ideal for both students and professionals in the field, this volume is a must-have resource for anyone looking to deepen their understanding of econometric models and their applications.