{"title":"Subal C Kumbhakar","description":null,"products":[{"product_id":"stochastic-frontier-analysis-book-subal-c-kumbhakar-9780521666633","title":"Stochastic Frontier Analysis","description":"Modern textbook presentations of production economics typically treat producers as successful optimizers. Conventional econometric practice has generally followed this paradigm, and least squares based regression techniques have been used to estimate production, cost, profit and other functions. In such a framework deviations from maximum output, from minimum cost and cost minimizing input demands, and from maximum profit and profit maximizing output supplies and input demands, are attributed exclusively to random statistical noise. However casual empiricism and the business press both make persuasive cases for the argument that, although producers may indeed attempt to optimize, they do not always succeed. This book develops econometric techniques for the estimation of production, cost and profit frontiers, and for the estimation of the technical and economic efficiency with which producers approach these frontiers. Since these frontiers envelop rather than intersect the data, and since the authors continue to maintain the traditional econometric belief in the presence of external forces contributing to random statistical noise, the work is titled Stochastic Frontier Analysis.","brand":"WoB","offers":[{"title":"US \/ GOOD \/ SBYB","offer_id":49565178691857,"sku":"CIN0521666635G","price":0.0,"currency_code":"GBP","in_stock":false},{"title":"GB \/ VERY_GOOD \/ INTERNAL","offer_id":50467005235473,"sku":"GOR010833154","price":0.0,"currency_code":"GBP","in_stock":false},{"title":"US \/ VERY_GOOD \/ SBYB","offer_id":51415926866193,"sku":"CIN0521666635VG","price":0.0,"currency_code":"GBP","in_stock":true},{"title":"GB \/ NEW \/ INGRAM","offer_id":52122578911505,"sku":"NLS9780521666633","price":0.0,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0784\/4072\/6801\/files\/0521666635.jpg?v=1750814815"},{"product_id":"practitioner-s-guide-to-stochastic-frontier-analysis-using-stata-book-subal-c-kumbhakar-9781107609464","title":"A Practitioner's Guide to Stochastic Frontier Analysis Using Stata","description":"A Practitioner's 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.","brand":"WoB","offers":[{"title":"- \/ - \/ -","offer_id":51019960942865,"sku":"","price":0.0,"currency_code":"GBP","in_stock":true},{"title":"US \/ NEW \/ INGRAM","offer_id":51019963400465,"sku":"NIN9781107609464","price":0.0,"currency_code":"GBP","in_stock":false},{"title":"GB \/ NEW \/ INGRAM","offer_id":52434932662545,"sku":"NLS9781107609464","price":0.0,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0784\/4072\/6801\/files\/1107609461.jpg?v=1751048743"},{"product_id":"advances-in-applied-econometrics-book-subal-c-kumbhakar-9783031483844","title":"Advances in Applied Econometrics","description":"This edited volume celebrates the profound legacy of Peter Schmidt, an eminent figure in econometric research. Originally featured as a Special Issue in Empirical Economics in 2023, this book gathers esteemed econometricians to honor Schmidt's influential work. His distinguished career encompassed pioneering contributions to various realms of econometrics, including time series and panel data econometrics, as well as stochastic frontier analysis. This Festschrift beautifully captures his synergy of theoretical innovation and empirical significance.  Written by distinguished econometricians, the volume presents the state-of-the-art in econometrics, traversing Schmidt's diverse interests. It spotlights his impact on applied econometrics and features 25 contributions on topics such as panel data econometrics, stochastic frontier analysis and efficiency\/productivity measurement, time series methods, general applied econometrics, copulas, nonparametric methods, andlimited dependent variable models. Readers will gain an overview of the state of econometrics through the lens of Schmidt's multifaceted expertise, exemplifying the enduring resonance of Schmidt's scholarly journey and his indelible impact on the field.","brand":"WoB","offers":[{"title":"- \/ - \/ -","offer_id":51680299942161,"sku":"","price":0.0,"currency_code":"GBP","in_stock":true},{"title":"US \/ NEW \/ INGRAM","offer_id":51680300171537,"sku":"NIN9783031483844","price":0.0,"currency_code":"GBP","in_stock":false},{"title":"GB \/ NEW \/ GARDNERS","offer_id":52153560629521,"sku":"NGR9783031483844","price":0.0,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0784\/4072\/6801\/files\/3031483847.jpg?v=1750838126"},{"product_id":"practitioner-s-guide-to-stochastic-frontier-analysis-using-stata-book-subal-c-kumbhakar-9781107029514","title":"A Practitioner's Guide to Stochastic Frontier Analysis Using Stata","description":"A Practitioner's 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. 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