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Estimation of the Two-Tiered Stochastic Frontier Model with the Scaling Property

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  • Christopher F. Parmeter

    (University of Miami)

Abstract

The two-tiered stochastic frontier model has enjoyed success across a range of application domains where it is believed that incomplete information on both sides of the market leads to surplus which buyers and sellers can extract. Currently, this model is hindered by the fact that estimation relies on very restrictive distributional assumptions on the behavior of incomplete information on both sides of the market. However, this reliance on specific parametric distributional assumptions can be eschewed if the scaling property is invoked. The scaling property has been well studied in the stochastic frontier literature, but as of yet, has not been used in the two-tier frontier setting.

Suggested Citation

  • Christopher F. Parmeter, 2017. "Estimation of the Two-Tiered Stochastic Frontier Model with the Scaling Property," Working Papers 2017-06, University of Miami, Department of Economics.
    • Handle: RePEc:mia:wpaper:2017-06
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    5. Aydede, Yigit & Dar, Atul A., 2022. "Native-born-immigrant wage gap revisited: The role of market imperfections in Canada," CLEF Working Paper Series 50, Canadian Labour Economics Forum (CLEF), University of Waterloo.
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    9. Hu, Zhiqiang & Pei, Kaibing, 2020. "Bi-directional R&D spillovers and operating performance: A two-tier stochastic frontier model," Economics Letters, Elsevier, vol. 195(C).

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    More about this item

    Keywords

    Incomplete Information; Nonlinear Least Squares; Heteroskedasticity. Publication Status: Under Review;
    All these keywords.

    JEL classification:

    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General

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