The effect of energy consumption on countries’ economic efficiency: a conditional robust non parametric approach

This paper investigates the effect of energy consumption on countries’ economic efficiency. By using a sample of 18 EU countries for three census years (1980, 1990 and 2000) the paper employs conditional and unconditional robust nonparametric frontiers in order to establish such a relationship. By using probabilistic approaches it conditions the effect of energy consumption on the obtained countries’ economic efficiencies. With the use of nonparametric regressions the paper calculates the effect of energy consumption. The results reveal that lower levels of energy consumption increase countries’ economic efficiencies to a point where the effect of energy consumption on countries’ economic efficiency is neutral.Energy consumption; economic growth; robust efficiency estimators; conditional nonparametric techniques

Weather effects on European agricultural output, 1850 1913

This paper compares the effects of weather shocks on agricultural production in Britain, France and Germany during the late nineteenth century. Using semi- parametric models to estimate the non-linear agro-weather relationship, we find that weather shocks explain between one and two-thirds of variations in agricultural production. Given the large size of the agricultural sector during this period, the high variance of agricultural production and the cyclical nature of weather shocks, the agro-weather relationship transmitted large effects on macroeconomic fluctuations over much of the period

Estimating Production Functions with Robustness Against Errors in the Proxy Variables

This paper proposes a new semi-nonparametric maximum likelihood estimation method for estimating production functions. The method extends the literature on structural estimation of production functions, started by the seminal work of Olley and Pakes (1996), by relaxing the scalar-unobservable assumption about the proxy variables. The key additional assumption needed in the identification argument is the existence of two conditionally independent proxy variables. The assumption seems reasonable in many important cases. The new method is straightforward to apply, and a consistent estimate of the asymptotic covariance matrix of the structural parameters can be easily computed.

Estimating production functions with robustness against errors in the proxy variables

This paper proposes a new semi-nonparametric maximum likelihood estimation method for estimating production functions. The method extends the literature on structural estimation of production functions, started by the seminal work of Olley and Pakes (1996), by relaxing the scalar-unobservable assumption about the proxy variables. The key additional assumption needed in the identification argument is the existence of two conditionally independent proxy variables. The assumption seems reasonable in many important cases. The new method is straightforward to apply, and a consistent estimate of the asymptotic covariance matrix of the structural parameters can be easily computed.

Disentangling the European airlines efficiency puzzle: a network data envelopment analysis approach

© 2015 Elsevier Ltd. In recent years the European airline industry has undergone critical restructuring. It has evolved from a highly regulated market predominantly operated by national airlines to a dynamic, liberalized industry where airline firms compete freely on prices, routes, and frequencies. Although several studies have analyzed performance issues for European airlines using a variety of efficiency measurement methods, virtually none of them has considered two-stage alternatives - not only in this particular European context but in the airline industry in general. We extend the aims of previous contributions by considering a network Data Envelopment Analysis (network DEA) approach which comprises two sub-technologies that can share part of the inputs. Results show that, in general, most of the inefficiencies are generated in the first stage of the analysis. However, when considering different types of carriers several differences emerge - most of the low-cost carriers' inefficiencies are confined to the first stage. Results also show a dynamic component, since performance differed across types of airlines during the decade 2000-2010