Applied Econometric Analysis: Emerging Research and Opportunities

Brian W. Sloboda (University of Maryland Global Campus, USA) and Yaya Sissoko (Indiana University of Pennsylvania, USA)

Indexed In: SCOPUS

Publication Status: E-Book and Print Version Available for Purchase

ISBN13: 9781799810933

ISBN13 Softcover: 9781799810940

EISBN13: 9781799810957

DOI: 10.4018/978-1-7998-1093-3

Description:

Professionals are constantly searching for competitive solutions to help determine current and future economic tendencies. Econometrics uses statistical methods and real-world data to predict and establish specific trends within business and finance. This analytical method sustains limitless potential, but the necessary research for professionals to understand and implement this approach is lacking.

Applied Econometric Analysis: Emerging Research and Opportunities explores the theoretical and practical aspects of detailed econometric theories and applications within economics, political science, public policy, business, and finance. Featuring coverage on a broad range of topics such as cointegration, machine learning, and time series analysis, this book is ideally designed for economists, policymakers, financial analysts, marketers, researchers, academicians, and graduate students seeking research on the various techniques of econometric concepts.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

Cointegration
Cross-Sectional Regression
Dynamic Factor Models
Limited Dependent Variables
Machine Learning
Microeconomics
Panel Regressions
Program Evaluation
Time Series Analysis
Vector Models

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