Econometrics Panel Data and Dea in Practice Guide

This text book is designed to address the basic econometrics demands of master’s and graduate students in economics, finance, and other social sciences, as well as other advanced scholars in the field of social science and science. Non-statistical research professionals will find the statistical and mathematical applications used to be relatively difficult to understand. The author elucidates local study areas, with specific examples drawn from earlier studies in the areas of auditing, savings and credit cooperative societies, and Tropics County Government activities. The use of empirical approaches such as non-parametric and parametric analysis, as well as data envelopment analysis in Stata software, is heavily emphasised in making sense of the data obtained. The Gauss Markov theorem, functional forms, vector error correction models, time series analysis, unit root tests, panel data models, data envelopment analysis (DEA), and structural equation modelling are among the specific subjects discussed. The book also contains a wealth of inefficiency and efficiency measurement routines in Stata utilising the DEA technique. The cited illustrations in the text book primarily involve author research in the areas of auditing services and front-office banking services in savings and credit cooperative societies (Saccos), as well as efficiency measurement targeting County Governments departments’ operations with a specific sample drawn from the Tropics of Kenya. The use of DEA to measure efficiency in departments like as schools, hospitals, corporations, and universities, among others, is a serious replacement for the time-honored and subjective balanced score card approach often used in enterprises. When it comes to structural equation modelling (SEM), a modern topic of study in the field of econometrics, researchers and students can rely on this book. The application of panel data is briefly explored in this guide book.

Author(s) Details

Leonard R. Lari
KCA University, Kenya. and Moi University, Kenya.

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