On the econometric estimation of the distance function representation of a production technology

By Tim Coelli. 2000

123 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/b9307585f71f47e3ac132f3f8e08d9e49479f8ff

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Citations in the corpus

Metafrontier frameworks for the study of firm-level efficiencies and technology ratios (2008, methodology): “This model can be estimated using standard SFA methods, although there is debate in the literature concerning endogeneity bias—for details, see Atkinson et al. (1998) and Coelli (2000).”
A Parametric Distance Function Approach for Malmquist Productivity Index Estimation (2001, background): “recent paper Coelli (2000) argues that the OLS estimation of a translog distance function is not affected by simultaneous equations bias if firms are assumed to maximize expected profits, as suggested by Zellner, Kmenta and Dr` eze (1966).”
Women's labour contribution to productivity and efficiency in agriculture: empirical evidence from Bangladesh. (2010, methodology): “In fact as Coelli (2000) concludes, “distance functions are no more subject to possible endogeneity criticisms than production functions … when cost minimising behaviour is a reasonable assumption, the input distance function has a clear advantage over the production function, because the distance…”
Estimation and inference in two-stage, semi-parametric models of production processes (2007, background): “The model in (26) can be extended to accommodate multiple outputs; see Adams et al. (1999), Coelli (2000), Coelli and Perelman (2001), Atkinson and Primont (2002), and Sickles et al. (2002) for examples and discussion.”
Efficiency analysis of German electricity distribution utilities – non-parametric and parametric tests (2006, background): “The translog input distance function in its parametric form with M(m¼ 1, 2, . . . ,M) outputs and K(k¼ 1, 2, . . . ,K) inputs is specified as (Coelli, 2002) lnðDiÞ ¼ 0 þ XM m¼1 m ln ym þ 1 2 XM m¼1 XM n¼1 mn ln ym ln yn þ XK k¼1 k ln xk þ 1 2 XK k¼1 XK l¼1 km ln xk ln xl þ XK k¼1 XM m¼1 km ln xk ln…”
Competition and efficiency: overseas students and technical efficiency in Australian and New Zealand universities (2009, unknown): “However, various authors, in particular Coelli (2000), have argued that the endogeneity issue is less important than we might imagine.”