Franco Peracchi is the Director of Masters Programs in Economics and a After receiving a MSc in Econometrics and Mathematical Economics from the LSE. Franco Peracchi. Professor of Econometrics, Tor Vergata University; Fellow, Einaudi Institute for Economics and Finance. Professor of Econometrics at Tor. How representative are matched cross-sections? Evidence from the Current Population Survey. F Peracchi, F Welch. Journal of Econometrics 68 (1), .

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Franco Peracchi

Added to Your Shopping Cart. Description In Econometrics the author has provided a text that bridges the gap between classical econometrics with an emphasis on linear methods such as OLS, GLS and instrumental variables and some of the ;eracchi research areas of the last few years, including sampling problems, nonparametric methods and panel data analysis.


Designed for advanced undergraduates and postgraduate students of the subject, Econometrics provides rigorous, yet accessible, coverage of the econometrcis. His research interests include econometric theory and methods, nonparametric and robust statistical methods, and labour economics. His work has been published in leading econometric and statistical journals.


Table of contents Preface. Statistical Accuracy and Hypothesis Testing.

The Classical Linear Model: Asymptotic Properties of Least Squares Methods. The Instrumental Variables Method.

Linear Models for Panel Data. Linear Simultaneous Equation Models. Adaptive and Robust Regression Estimators. Models for Discrete Responses.

Franco Peracchi – Google Scholar Citations

Models for Truncated and Censored Data. Review of Linear Algebra.

Methods of Numerical Maximization. Elements of Asymptotic Theory.