Sissoko Co-edits Book on Econometric Analysis

Posted on 9/16/20 12:12 PM

Published in June 2020, Yaya Sissoko co-edited the book Applied Econometric Analysis: Emerging Research and Opportunities, published by IGI Global Publisher.

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 necessity 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.

In addition, Sissoko's article "Does Regional Variation in Startup Concentration Predict Employment Growth in Rural Areas of Ohio, Pennsylvania, and West Virginia?" (co-authored with Brian Sloboda) is published in the book.

Article Abstract

Measures of entrepreneurship, such as average establishment size and the prevalence of start-ups, correlate strongly with employment growth across and within urban areas. Is it possible for entrepreneurship to occur outside of urban areas and be active in rural areas such as Ohio, Pennsylvania, and West Virginia? There are causal links of entrepreneurial finance to industry or city growth, but little link of the evidence of entrepreneurship outside of urban areas overall. This chapter examines the regional variation in startup concentration used to predict employment in the rural areas of Pennsylvania, Ohio, and West Virginia by metropolitan statistical area (MSA)/micropolitan areas for the year 2017. The authors find significant differences in new firm formation rates from industrial regions to technologically progressive regions using the generalized linear models (GLM). Variations in firm birth rates are explained by industrial size, population growth, the number of startups, human capital variables, and establishments.

Department of Economics