Skip to content
Research Article Open access CC BY 3.0

Semiparametric Stochastic Frontier Estimation Using Generalized Additive Models

Morteza Haghiri

Journal of Economics, Management and Trade · pp. 405–418 · Published 30 Jul 2013

10.9734/BJEMT/2013/5149

Abstract

This article specified a semiparametric stochastic frontier function using generalized additive models that accounts for random noise in the sample data. We estimated the parameters of the model by applying the generalized spline-smoothing approach to measure technical efficiency scores of Wisconsin dairy producers between 1993 and 1998. Results showed that the sample dairy producers did not use resources efficiently, as the estimated mean technical efficiency score was found to be 0.778. Unlike precedent studies, we found no correlation between the estimated technical efficiency scores and four farm-specific characteristics, such as operation type, milk system, barn type, and milk frequency.

Generalized additive models spline-smoothing approach semiparametric stochastic frontiers technical efficiency

References (31)

  1. 1 An Analysis of Variance Test for Normality (Complete Samples) [DOI]
  2. 2 Generalized Linear Models [DOI]
  3. 3 The Measurement of Productive Efficiency [DOI]
  4. 4 Cross-Validatory Choice and Assessment of Statistical Predictions [DOI]
  5. 5 Formulation and estimation of stochastic frontier production function models [DOI]
  6. 6 Multivariate Adaptive Regression Splines [DOI]
  7. 7 Spline Models for Observational Data. [DOI]
  8. 8 Projection Pursuit Regression [DOI]
  9. 9 The Econometric Approach to Efficiency Analysis [DOI]
  10. 10 Production frontiers with cross-sectional and time-series variation in efficiency levels [DOI]
  11. 11 Estimating the Efficiency of Production [DOI]
  12. 12 A TEST FOR RELATIVE EFFICIENCY AND APPLICATION TO INDIAN AGRICULTURE
  13. 13 Quasi-Likelihood Estimation in Semiparametric Models [DOI]
  14. 14 Dairy Farm Efficiency Measurement Using Stochastic Frontiers and Neoclassical Duality [DOI]
  15. 15 Semiparametric Smooth Coefficient Models [DOI]
  16. 16 A general framework for frontier estimation with panel data [DOI]
  17. 17 Estimating Efficiencies from Frontier Models with Panel Data: A Comparison of Parametric, Non-Parametric and Semi-Parametric Methods with Bootstrapping [DOI]
  18. 18 A Study of Economic Efficiency of Utah Dairy Farmers: A System Approach [DOI]
  19. 19 Constructing confidence intervals for cost-effectiveness ratios: an evaluation of parametric and non-parametric techniques using Monte Carlo simulation [DOI]
  20. 20 Testing Parametric versus Semiparametric Modeling in Generalized Linear Models [DOI]
  21. 21 Estimation and testing in generalized partial linear models—A comparative study [DOI]
  22. 22 Semiparametric smooth-coefficient stochastic frontier model [DOI]
  23. 23 An Econometric Decomposition of Dairy Output Growth [DOI]
  24. 24 Assessing the impact of economic liberalization across countries: a comparison of dairy industry efficiency in Canada and the USA [DOI]
  25. 25 Production Efficiency in South Indian Agriculture [DOI]
  26. 26 On the foundations of parameter estimation for generalized partial linear models with B-splines and continuous optimization [DOI]
  27. 27 A nonparametric extension of generalized quadratic Box–Cox models in measuring technical efficiency [DOI]
  28. 28 Choice of Functional Form for Agricultural Production Analysis [DOI]
  29. 29 Applied Nonparametric Regression Analysis: The Choice of Generalized Additive Models
  30. 30 Additive and Generalized Additive Models [DOI]
  31. 31 Stochastic non-parametric frontier analysis in measuring technical efficiency : a case study of the North American dairy industry

Cited by 1

Article metrics

Real usage data collected on this platform.

52

Page views

0

PDF downloads

23

Outbound clicks

1

Citations

Views over time

Views by country

Approximate, from request IP at view time — not citizenship or institution. Countries with fewer than 5 views are grouped as "Other".

Traffic sources

Referring site, by host.

Views and downloads exclude known bots/crawlers. Citations combines this platform's own DOI-resolved index with each external source's own reported total — see Cited by above for individually listed citing works. Last refreshed 0 seconds ago.