Data Envelopment Analysis Using Stata
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Data Envelopment Analysis Using Stata
This book presents the concept and practical implementation of assessing the managerial ability of a Decision-Making Unit (DMU) through Data Envelopment Analysis (DEA). Managerial ability data is derived from publicly available accounting information, and the DEA methodology is performed utilizing Stata software. Those with research interests in accounting, auditing, and finance can utilize DEA to assess managerial ability through the practical examples presented in this book. This book comprises seven chapters: (1) Introduction to Managerial Ability, (2) Literature Review on Managerial Ability, (3) Data Envelopment Analysis (DEA) as a Performance Evaluation Tool, (4) DEA Application Using Stata, (5) DEA Application for Assessing Managerial Ability Scores, (6) Research on the Association between Managerial Ability and Audit Quality, and (7) Conclusion. The book “Data Envelopment Analysis Using Stata: A Practical Approach on How Managerial Ability Affects Audit Partners’ Quality in Research” highlights research example employing real-world data from entities listed on the Indonesia Stock Exchange to demonstrate the application of managerial ability through DEA with Stata and its association with audit partner quality, contributing to the overall audit quality in the financial statements of listed firms. This book aims to provide readers with comprehensive insights and references concerning the concept of managerial ability and its application across various disciplines.
A Practitioner's Guide to Stochastic Frontier Analysis Using Stata
Author: Subal C. Kumbhakar
language: en
Publisher: Cambridge University Press
Release Date: 2015-02-02
This book provides practitioners with a step-by-step guide on how to conduct efficiency analysis using the stochastic frontier approach.
Data Envelopment Analysis (DEA) Methods for Maximizing Efficiency
In today's highly competitive and rapidly evolving global landscape, the quest for efficiency has become a crucial factor in determining the success of organizations across various industries. Data Envelopment Analysis (DEA) Methods for Maximizing Efficiency is a comprehensive guide that delves into the powerful mathematical tool of DEA, is designed to assess the relative efficiency of decision-making units (DMUs), and provides valuable insights for performance improvement. This book presents a systematic overview of DEA models and techniques, from fundamental concepts to advanced methods, showcasing their practical applications through real-world examples and case studies. Catering to a broad audience, this book is designed for students, researchers, consultants, decision-makers, and enthusiasts in the field of efficiency analysis and performance measurement. Consultants and practitioners will gain practical insights for applying DEA in various contexts, and decision-makers will be equipped to make informed decisions for maximizing efficiency. Additionally, individuals with a general interest in data analysis and performance measurement will find this book accessible and informative. This book covers a wide range of topics, including mathematical foundations of DEA, DEA models and variations, DEA efficiency and productivity measures, DEA applications in various industries such as healthcare, finance, supply chain management, environmental management, education management, and public sector management.