The extent to which there are aggregate returns to scale at the level of aggregate production has important implications both for the types of shocks generating business cycles and for optimal policy. However, prior attempts to measure the extent of these returns using instrumental variable techniques have yielded quite imprecise estimates. In this article, we show that the production shocks im...

Traditional super-efficiency data envelopment analysis (DEA) models rank efficient units under the assumption of constant returns to scale (CRS). However, infeasibility may occur in super-efficiency models under variable returns to scale (VRS). This paper proposes a modified VRS super-efficiency DEA model to deal with infeasibility by relaxing the convexity constraint 1, 0 1 n j j j λ = ≠ = ∑ t...

Cross-efficiency evaluation in data envelopment analysis (DEA) has been developed under the assumption of constant returns to scale (CRS), and no valid attempts have been made to apply the cross-efficiency concept to the variable returns to scale (VRS) condition. This is due to the fact that negative VRS cross-efficiency arises for some decision-making units (DMUs). Since there exist many insta...

the calculation of rts amounts to measuring a relationship between inputs and outputs in a production structure. there are many methods to measure rts in the primal space or the dual space. one of the main approaches is using the multiplier on the convexity constraint. but returns to scale measurements in dea models are affected by the presence of regulatory constraints. these additional constr...

In this paper, we aim to model the vertical relation between retailers and suppliers in the food industry whereby retailers exercise seller power in their relation with consumers and buyer power in their relation with producers. We then evaluate the degree of price transmission, relative to the perfectly competitive benchmark, from the farm to the retail sector assuming a supply shock. With the...

The data envelopment analysis (DEA) model is extensively used to estimate efficiency, but no study has determined the DEA that delivers most precise estimates. To address this issue, we advance Monte Carlo simulation-based generation process proposed by Kohl and Brunner (2020). developed generates an artificial dataset using Translog production function (instead of commonly Cobb Douglas) constr...

abstract present study used translog cost function for determining break point of paddy farms. requested data set include inputs’ prices and quantities, and production amounts had been acquired from 500 rice farmers of guilan province at 2009. model used in this study is seemingly unrelated regressions (sur). the results showed that labor and pesticides had the highest and lowest share of produ...