<span>This book focuses on projects using child indicators outside of a research context and provides a user-friendly set of materials to help professionals or organizations start and sustain high-quality child indicator projects. The book is based on the fundamental idea that better data leads to b
A Practitionerโs Guide to Stochastic Frontier Analysis Using Stata
โ Scribed by Subal C. Kumbhakar, Hung-Jen Wang, Alan P. Horncastle
- Publisher
- Cambridge University Press
- Year
- 2015
- Tongue
- English
- Leaves
- 556
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
Stochastic Frontier Analysis Using Stata provides practitioners in academia and industry with a step-by-step guide on how to conduct efficiency analysis using the stochastic frontier approach. The authors explain in detail how to estimate production, cost, and profit efficiency and introduce the basic theory of each model in an accessible way, using empirical examples that demonstrate the interpretation and application of models. This book also provides computer code, allowing users to apply the models in their own work, and incorporates the most recent stochastic frontier models developed in academic literature. Such recent developments include models of heteroscedasticity and exogenous determinants of inefficiency, scaling models, panel models with time-varying inefficiency, growth models, and panel models that separate firm effects and persistent and transient inefficiency. Immensely helpful to applied researchers, this book bridges the chasm between theory and practice, expanding the range of applications in which production frontier analysis may be implemented.
โฆ Subjects
Econometrics;Economics;Business & Money;Stochastic Modeling;Applied;Mathematics;Science & Math
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