[PDF] Top 20 Estimating fixed effect panel stochastic frontier models by model transformation

... these models, the inability to separate inefficiency and individual heterogeneity is likely to limit their applicability in empirical ...(in)efficiency effect and the time-invariant country-specific ... See full document

... estimation models, and inclusion of a quality indicator in our ...4-year panel data of 185 samples from public hospitals in the United Kingdom ...5-year panel data of 862 municipal hospitals in Japan ... See full document

... After estimating the cost and profit efficiency scores based on stochastic frontier method, in order to investigate the relationship between stock returns and efficiency, the stock returns (CASR) are ... See full document

... in stochastic frontier (SF) models and its implications for the per- formance of Norwegian crop-producing ...farm-level panel data for 1991–2013 with 3 885 observations from 455 Norwegian ... See full document

... proposed transformation allowing for the time-varying decision-independent heterogeneity in the stochastic frontier ...total fixed assets and the ratio of interest expenses to total deposits, ... See full document

... for estimating semiparametric panel data mod- els, with a primary focus on the nonparametric ...differencing transformation and estimate the unknown function by marginal ...treat panel data ... See full document

... the model specification of Battese and Coelli 1995, technical inefficiency effects are explicitly expressed as a function of a vector of firm-specific variables and random error and are integrated in the ... See full document

... preferred model is annual total cost, which is the sum of annual maintenance and annual renewal ...exogenously fixed traffic volume on a network of fixed size, with exogenously determined network ... See full document

... using panel data ...cost frontier model was estimated using four methods; Ordinary least square, Fixed effects, Random effects and Maximum likelihood ...of fixed effects model in ... See full document

... the stochastic frontier model, was rejected for all ...Cobb-Douglas frontier is an adequate representation of the data was strongly rejected, as was the null hypothesis that there was no ... See full document

... to frontier construction and efficiency estimation brought to development of a set of models: stochastic frontier model, thick frontier model, and distribution-free ... See full document

... the stochastic frontier model with panel data, to analyzethe effect of input factor on sectoral growth based on the Cobb-Douglas production function and to analyzethe efficiency ... See full document

... on stochastic frontier models ever since the pioneering studies of Aigner et ...the models, inefficiency is captured by a half normal or truncated normal distribution, and a ... See full document

... MIMIC models in stochastic frontier models (Chaudhuri, Kumbhakar and Sundaram, 2016), Sudit (1995) on productivity measure- ment in industrial operations, environmental efficiency (Reinhard et ... See full document

... From out simulation, we have the following observations: First, under all situa- tions considered, the empirical sizes of these two test statistics are all close to the nominal level. This implies that our proposed test ... See full document

... Tobit model, they found farm size, age of the household head, the number of year of schooling, the type of irrigation scheme, crop choice and the irrigation methods applied to significantly impact efficiency of ... See full document

... macro panel data for 306 Indian non financial firms for the period of 2002-2017 and divided the time frame in three-period, ...Dynamic Panel Data modeling has been adopted and empirical estimation was done ... See full document

... countries. reardon and Barrett (2000), Sartorius and Kristen (2007), Demircan et al. (2010) and caberera et al. (2010) have found that small dairy farmers are gradually becoming less profitable and loosing their market ... See full document

... Based on previous researches, we can assume that a distribution of broadband in Europe has significant spatial patterns [6] – adoption of broadband services in a given county is closely related with the same process in ... See full document

... of stochastic frontier regressions, we fix at ...final stochastic frontier distance function(8) is transformed from translog distance function(6) and therefore common stochastic ... See full document