| Description |
1 online resource (245 p.) |
| Series |
Issn Series |
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Issn Series
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| Contents |
Cover -- Endrosements Page -- Half Title -- Series Page -- Title Page -- Copyright Page -- Dedication -- Table of Contents -- Foreword -- Preface and Acknowledgment -- 1 Introduction -- 1.1 What the Book is and is Not About -- 1.2 Software and Datasets -- 1.3 Notation and Abbreviation -- 2 Basics of Stochastic Frontier Analysis for Cross-Sectional Data -- 2.1 A Few Introductory Questions -- 2.1.1 What is Cross-Sectional Data? -- 2.1.2 What is a Production Function? -- 2.1.3 What is Technical Inefficiency? -- 2.1.4 What are Deterministic and Stochastic Production Frontiers? |
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2.1.5 What Production Functions are Commonly Used? -- 2.1.6 What is a Cost Frontier? -- 2.1.7 When are Inputs Endogenous? -- 2.1.8 What is a Copula? -- 2.2 Estimation Methods -- 2.2.1 Corrected OLS -- 2.2.2 MLE with Normal v[sub(i)] and Half-Normal u[sub(i)] -- 2.2.3 OLS with Normal v[sub(i)] and Half-Normal u[sub(i)] -- 2.2.4 Estimation of u[sub(i)] -- 2.2.5 Extensions to Non-Zero Mean and Non-Constant Variance -- 2.2.6 Alternative Distributions for u[sub(i)] -- 2.2.7 Extension to Non-Independence Between u[sub(i)] and v[sub(i)] -- 2.2.8 Extension to Several Outputs -- Appendix |
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2.A Selected 2-Copulas -- 2.B Basics of OLS -- 2.B.1 Simple Linear Regression -- 2.B.2 Multiple Linear Regression -- 2.C Basics of MLE -- 2.C.1 MLE of a Generic Parameter Vector -- 2.C.2 Diagnostics in Non-Nested MLE Models -- 2.D Basics of MSLE -- 3 Basics of Stochastic Frontier Analysis for Panel Data -- 3.1 More Introductory Questions -- 3.1.1 What is Panel Data? -- 3.1.2 What is a Panel SFM? -- 3.2 Distribution-Free Estimators -- 3.2.1 LSDV Estimation -- 3.2.2 FE and RE Estimation -- 3.2.3 CSS Estimator: Time-Varying Inefficiency -- 3.3 Maximum Likelihood Estimation |
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4.5.1 Full MLE and Generalized Method of Moments -- 4.5.2 Evaluation of Integrals -- 4.5.3 MSLE and Generalized Method of Simulated Moments -- 4.6 Application of Copula to (u[sub(i1)], ..., u[sub(iT)]) -- 4.6.1 Full MSLE -- Appendix -- 4.A Selected T-Copulas -- 4.B Basics of QMLE -- 4.C Basics of GMM -- 4.D Basics of GMSM -- 4.E Testing Copula Validity -- 5 Modeling Endogeneity in Stochastic Frontier Models -- 5.1 What do we Mean by Endogeneity? -- 5.2 How is Endogeneity Handled in Linear Models? -- 5.3 Endogeneity of Inputs -- 5.3.1 Corrected 2SLS -- 5.3.2 GMM |
| Summary |
An easy-to-understand guide to modelling productivity and efficiency using modern statistical tools. Introduces the fundamentals of stochastic frontier analysis (SFA) and the latest concepts and methods related to the use of copulas in SFA. A useful reference for those interested in the newest robust methods of business analytics |
| Notes |
Description based upon print version of record |
| Genre/Form |
Electronic books
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| Form |
Electronic book
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| ISBN |
9781003855200 |
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1003855202 |
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