The Nonparametric Approach to Production Analysis

By Hal R. Varian. 1984

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Citations in the corpus

How many types are there (2013, unknown): “Theorem: (Hanoch and Rothschild (1972), Diewert and Parkan (1983), Varian (1984)).”
Scale economies and input price elasticities in microfinance institutions (2013, unknown): “Furthermore, from a theoretical perspective, the cost function is more appropriate when firms are price takers in the input markets (labor and capital) and have some market power in the output market (Varian, 1984).”
Near-optimal max-affine estimators for convex regression (2015, background): “Such convex regression problems arise in various contexts, such as econometrics (Varian, 1982, 1984; Merton, 1992), geometric programming (Magnani and Boyd, 2009; Hannah and Dunson, 2012), or operations research/reinforcement learning (Shapiro et al., 2009; Hannah et al., 2014), just to name a few.”
Infeasibility and Directional Distance Functions with Application to the Determinateness of the Luenberger Productivity Indicator (2009, background): “While it is true that the vast majority of empirical productivity studies employ deterministic, nonparametric technologies (see Varian [21] and Banker and Maindiratta [22]), our analysis is also valid for parametric specifications of technology.”
Nonparametric Shape-Restricted Regression (2017, background): “Economic theory dictates that utility functions are increasing and concave [98] whereas production functions are often assumed to be concave [136].”
Farm Household Production Efficiency: Evidence from The Gambia (2005, unknown): “CRTS.8 It can be interpreted as the inner bound representation of the technology under CRTS (see Afriat, 1972; Varian, 1984 ).”
Measurement of Dynamic Efficiency in Production: An Application of Data Envelopment Analysis to Japanese Electric Utilities (2003, methodology): “Based on a similar argument, Varian (1984) proposes a method for placing an empirical inner limit on the true production possibility set.”
Restrictions of economic theory in nonparametric methods (1994, methodology): “To transform these minimization problems into finite dimensional problems, Yatchew and Bos (1992) use a method similar to the one described in Section 3.”