Econometrics, Finance, and Time Series Analysis | 12.74 MB
Title: Econometrics, Finance, and Time Series Analysis
Author: Masanobu Taniguchi, Diane Pierret, Martin Schumann, Thomas A. Severini, Gautam Tripathi, Yujie Xue
Category: Business & Finance, Economics, Econometrics, Statistics, Nonfiction, Science & Nature, Mathematics, Applied
Language: English | 132 Pages | ISBN: 9783030801496
Description:
This textbook teaches some of the basic econometric methods and the underlying assumptions behind them. It also includes a simple and concise treatment of more advanced topics in spatial correlation, panel data, limited dependent variables, regression diagnostics, specification testing and time series analysis. Each chapter has a set of theoretical exercises as well as empirical illustrations using real economic applications. These empirical exercises usually replicate a published article using Stata, Eviews as well as SAS.
This new sixth edition has been fully revised and updated, and includes new material on limited dependent variables and panel data as well as revision of basic topics like heteroskedasticity, endogeneity, over-identification and specification testing. The author also provides more exercises and empirical examples based on published economic applications.
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