Econometrics in Practice

This book covers the econometric methods necessary for a data analyst or a practicing applied economist. This requires both an understanding of statistical theory and how it is used in actual applications. Chapters 1 to 9 present the material concerned with basic statistical theory. Chapters 10 to 13 introduce a number of topics which form the basis of more advanced option modules, such as time series methods in applied econometrics. To get the most out of these topics, companion files include Excel datasets, videos, and 4-color figures(available for downloading with Amazon proof of purchase by writing to info@merclearning.com). It includes pull down menus to graph the data, calculate sample statistics, and estimate regression equations.

Features

+Integration of econometrics methods with statistical foundations

+Provides worked examples of all models considered in the text

+Companion files with Excel datasheets, videos, and color figures from the text (available for downloading with Amazon proof of purchase by writing to info@merclearning.com)

+Features instructor ancillaries for use as a textbook

Brief Table of Contents

1: Probability and the Statistical Foundations of Econometrics. 2: Statistical Inference. 3: The Bivariate Regression Model. 4: The Multivariate Regression Model. 5: Serial Correlation. 6: Heteroscedasticity, Functional Form, and Structural Breaks. 7: Binary Dependent Variables. 8: Stochastic Regressors. 9: Dynamic Models. 10: Time Series Analysis and ARIMA Modelling. 11: Unit Roots and Seasonality.

12: Cointegration. 13: Vector Autoregressions. Answers. Index.