Stochastic Frontier Analysis: Frontmatter

By Subal C. Kumbhakar, C. Lovell. 2000

3,019 citations recorded by the source corpus.

Subfields: Economics and Econometrics, General Agricultural and Biological Sciences, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/e781eb5d98639f576d026aba209ee87d21648822

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Citations in the corpus

Ownership Forms Matter for Airport Efficiency: A Stochastic Frontier Investigation of Worldwide Airports (2008, neutral): “By modeling the deviation from the frontier as random, our model is an example of the random effects stochastic frontier model described in Kumbhakar and Lovell (2000).”
Cost Efficiency in Regional Bus Companies: An Application of Alternative Stochastic Frontier Models (2006, neutral): “Some of these exogenous factors are either unavailable or too complex to be measured by 2 Kumbhakar and Lovell (2000) provide an extensive survey of this literature.”
The joint estimation of bank-level market power and efficiency (2009, neutral): “…implications of the new empirical industrial organization (NEIO) literature (see Bresnahan, 1989) to assess the 1 For an introduction to stochastic frontiers and a review of the relevant literature, see Kumbhakar and Lovell (2000). competitive conditions prevailing at the banking-industry level.”
Reconsidering heterogeneity in panel data estimators of the stochastic frontier model (2005, neutral): “(see Kumbhakar and Lovell (2000) for extensions to the truncation and heteroscedasticity models.”
Where can capabilities come from? network ties and capability acquisition in business groups (2011, background): “…are assumed to operate on the efficient frontier and departures from the efficient frontier are attributed exclusively to random statistical noise (Kumbhakar and Lovell, 2000), SFE allows not only for the inherent randomness in production, but also for the firm-specific inefficiency in…”
Identifying different technologies using a latent class model: extensive versus intensive dairy farms (2010, neutral): “Assuming that v is normally distributed and that u follows a half-normal distribution, the likelihood function (LF) for each farm i at time t for group j is (Kumbhakar and Lovell, 2000):”
Subsidies and Technical Efficiency in Agriculture: Evidence from European Dairy Farms (2017, background): “timators while Shee and Stefanou (2015) proposed an extension of the Levinsohn and Petrin (2003) approach, initially proposed for production functions, for stochastic production frontier models.”
Stochastic non-smooth envelopment of data: semi-parametric frontier estimation subject to shape constraints (2012, methodology): “Other distributions such as gamma or exponential are also used for the inefficiency term ui (e.g. Kumbhakar and Lovell, 2000), but in this paper we restrict to the half-normal specification.”