Estimation of long-run inefficiency levels: a dynamic frontier approach

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Persistent and transient productive inefficiency: a maximum simulated likelihood approach (2015, unknown): “Ahn and Sickles (Econ Rev 19(4):461–492, 2000) suggested some approaches that pointed in this direction. The possibility was also raised in Greene (Health Econ 13(10):959–980, 2004. doi:10.1002/hec.938), who expressed some pessimism over the possibility of distinguishing the two empirically. Recentl”
Effect of FDI and Time on Catching Up: New Insights from a Conditional Nonparametric Frontier Analysis (2015, methodology): “Hence, efficiency improvement will represent productivity catch-up via technology diffusion because inefficiencies generally reflect a sluggish adoption of new technologies (Ahn and Sickles 2000). In this paper we aim to assess the diffusion dynamics of a technology (frontier) in the countries under”
Consistent inference in fixed-effects stochastic frontier models (2017, background): “A new generation of dynamic frontier approaches is emerging with the aim of disentan- gling the long-run from the short-run inefficiency levels (Ahn & Sickles, 2000; Tsionas, 2006; Emvalomatis, 2012).”
Panel estimators and the identification of firm-specific efficiency levels in parametric, semiparametric and nonparametric settings (2005, unknown): “v = Qu+ ε, (6) where W is NT × L, Q = diag(Wi), i = 1, .”