Semiparametric Stochastic Frontier Estimation Using Generalized Additive Models

2013 ◽  
Vol 3 (4) ◽  
pp. 405-418
Author(s):  
Morteza Haghiri
Keyword(s):  
Generalized Additive Models ◽  
Stochastic Frontier ◽  
Additive Models ◽  
Frontier Estimation ◽  
Stochastic Frontier Estimation

scholarly journals Stochastic frontier estimation of budgets for Kuhn–Tucker demand systems: Application to activity time-use analysis

2016 ◽  
Vol 88 ◽  
pp. 117-133 ◽  
Author(s):  
Abdul Rawoof Pinjari ◽  
Bertho Augustin ◽  
Vijayaraghavan Sivaraman ◽  
Ahmadreza Faghih Imani ◽  
Naveen Eluru ◽  
...  
Keyword(s):  
Time Use ◽  
Stochastic Frontier ◽  
Demand Systems ◽  
Activity Time ◽  
Frontier Estimation ◽  
Stochastic Frontier Estimation

Frontier Versus Ordinary Regression Models for Data Mining

2011 ◽  
pp. 21-31
Author(s):  
Marvin D. Troutt ◽  
Michael Hu ◽  
Murali Shanker ◽  
William Acar
Keyword(s):  
Data Mining ◽  
Regression Models ◽  
Stochastic Frontier ◽  
Average Behavior ◽  
Optimal Behavior ◽  
Frontier Estimation ◽  
Ordinary Regression ◽  
Stochastic Frontier Estimation ◽  
Estimation Models

Frontier Regression Models seek to explain boundary, frontier or optimal behavior rather than average behavior as in ordinary regression models. Ordinary regression is one of the most important tools for data mining. Frontier models may be desirable alternatives in many circumstances. In this chapter, we discuss frontier regression models and compare their interpretations to ordinary regression models. Occasional contact with stochastic frontier estimation models is also made, but we concentrate primarily on pure ceiling or floor frontier models. We also propose some guidelines for when to choose between them.

Assessing the market power of millers and wholesalers in the Bangladesh rice sector

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mohammad Chhiddikur Rahman ◽  
Valerien Pede ◽  
Jean Balie ◽  
Isabelita M. Pabuayon ◽  
Jose M. Yorobe ◽  
...  
Keyword(s):  
Market Power ◽  
Value Chain ◽  
Stochastic Frontier ◽  
Secondary Data ◽  
Competitive Behavior ◽  
Cross Sectional ◽  
Content Type ◽  
Frontier Estimation ◽  
Retail Prices ◽  
Stochastic Frontier Estimation

PurposeBecause of the increasing differential between farm and retail prices, the study proposes to investigate the extent of market power in the rice value chain of Bangladesh using advanced econometric techniques.Design/methodology/approachUsing a Stochastic Frontier Estimation approach on cross-sectional data, the study examines the price spread along the rice value chain to determine whether millers and wholesalers exercise market power.FindingsEmpirical results reveal that, on average, rice millers and wholesalers charge 33 and 29% above the marginal cost, respectively. This study confirms the non-competitive behavior of the rice market with wholesalers and millers wielding substantial market powerResearch limitations/implicationsA limitation of the study is that it does not include the retailers who also play a major role in the Bangladesh rice value chain. This is left for future study.Originality/valueThis study combines primary and secondary data collected on the Bangladesh rice sector to examine the market power of two major players along the value chain, millers and wholesalers, using an advanced econometrics approach.

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