Econometrics Panel Data and Dea in Practice Guide

Abstract

This text book is structured to meet basic econometrics needs for economics, finance, and other social sciences masters’ and graduate students and other advanced researchers in the field of social science and science. The statistical and mathematical applications used are moderately low to understand models by non-statistical research experts. The author elucidates on local research areas, and specific examples are adapted from past researches done in the areas of auditing, savings and credit co-operatives societies and County Governments operations cases of the Tropics. An emphasis is greatly placed on use of empirical methodologies such as non-parametric and parametric analysis which also involves the use of data envelopment analysis in Stata software in making sense out of the data collected. The specific topics covered include: application of regression in research, Gauss Markov theorem, functional forms, vector error correction models, time series analysis, unit root tests, panel data models, data envelopment analysis(DEA), and the structural equation modelling. The book is also highly rich in inefficiency and efficiency measurement procedures using DEA approach in Stata. The cited illustrations in the text book majorly involves research by author done in the areas of provision for auditing services and offering of front office banking services in savings and credit co-operatives societies(Saccos)and efficiency measurement targeting the County Governments departments’ operations with the specific sample picked from the Tropics-Kenya. Application of DEA in efficiency measurement in departments such as Schools, Hospitals, Corporations, and Universities among others is a serious substitute to timeworn and subjective method of balanced score card commonly applied in industries. Researchers and students should also count on this book when it comes to the structural equation modelling(SEM): a contemporary area of study in the field of econometrics. Panel data application is succinctly discussed in this guide book.