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A Practitioner's Guide to Stochastic Frontier Analysis Using Stata by Subal C. K

Description: A Practitioner's Guide to Stochastic Frontier Analysis Using Stata by Subal C. Kumbhakar, Alan P. Horncastle, Hung-Jen Wang Estimated delivery 3-12 business days Format Paperback Condition Brand New Description A Practitioners Guide to Stochastic Frontier Analysis Using Stata provides practitioners with a step-by-step guide on how to conduct efficiency analysis using the stochastic frontier approach. Immensely helpful to the applied researcher, it bridges the chasm between theory and practice, expanding the range of applications in which production frontier analysis may be implemented. Publisher Description A Practitioners Guide to 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. Author Biography Subal C. Kumbhakar is a distinguished research professor at the State University of New York, Binghamton. He specializes in productivity and efficiency analysis, with particular emphasis on the theory and application of stochastic frontier (SF) models. He has developed numerous SF models for both cross-sectional and panel models in a single-equation set-up, as well as in a set-up with simultaneous equations. He is co-editor of Empirical Economics and guest editor of special issues of the Journal of Econometrics, Empirical Economics, the Journal of Productivity Analysis, and the Indian Economic Review. He is associate editor and editorial board member of Technological Forecasting and Social Change: An International Journal, the Journal of Productivity Analysis, the International Journal of Business and Economics, and Macroeconomics and Finance in Emerging Market Economies. He is also the co-author of Stochastic Frontier Analysis (Cambridge, 2000). Hung-Jen Wang is Professor of Economics at the National Taiwan University. His research interests include stochastic frontier analysis and empirical macroeconomics. He has published research papers in the Journal of Econometrics, the Journal of Business and Economic Statistics, Econometric Review, Economic Inquiry, the Journal of Productivity Analysis, and Economics Letters. He was a co-editor of Pacific Economic Review and is currently associate editor of Empirical Economics and the Journal of Productivity Analysis. Alan P. Horncastle has been a professional economist for more than twenty years and leads Oxeras work on performance assessment. He has provided efficiency advice for companies and regulatory authorities in the energy, transport, water, financial services, and communications sectors across Europe for business planning, transactions, regulatory reviews, Competition Commission cases, and court hearings. He has published papers in the Journal of the Operational Research Society, the Journal of Regulatory Economics, the Competition Law Journal, and Utilities Policy and has contributed chapters to Liberalization of the Postal and Delivery Sector and Emerging Issues in Competition, Collusion and Regulation of Network Industries. Details ISBN 1107609461 ISBN-13 9781107609464 Title A Practitioner's Guide to Stochastic Frontier Analysis Using Stata Author Subal C. Kumbhakar, Alan P. Horncastle, Hung-Jen Wang Format Paperback Year 2015 Pages 374 Publisher Cambridge University Press GE_Item_ID:91006928; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated. International deliveries will take 1-6 weeks. NOTE: We are unable to offer combined shipping for multiple items purchased. This is because our items are shipped from different locations. Returns If you wish to return an item, please consult our Returns Policy as below: Please contact Customer Services and request "Return Authorisation" before you send your item back to us. Unauthorised returns will not be accepted. Returns must be postmarked within 4 business days of authorisation and must be in resellable condition. Returns are shipped at the customer's risk. We cannot take responsibility for items which are lost or damaged in transit. For purchases where a shipping charge was paid, there will be no refund of the original shipping charge. Additional Questions If you have any questions please feel free to Contact Us. 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ISBN-13: 9781107609464

Book Title: A Practitioner's Guide to Stochastic Frontier Analysis Using Stat

Number of Pages: 374 Pages

Language: English

Publication Name: Practitioner's Guide to Stochastic Frontier Analysis Using Stata

Publisher: Cambridge University Press

Publication Year: 2015

Item Height: 1 in

Subject: Probability & Statistics / Stochastic Processes, Econometrics, Economics / Theory

Item Weight: 24 Oz

Type: Textbook

Author: Hung-Jen Wang, Alan P. Horncastle, Subal C. Kumbhakar

Subject Area: Mathematics, Business & Economics

Item Length: 10 in

Item Width: 6.9 in

Format: Trade Paperback

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