The paper discusses Bayesian productivity analysis of 27 EU Member States, USA, Japan and Switzerland. Bayesian Stochastic Frontier Analysis and a two-stage structural decomposition of output growth are used to trace sources of output growth. This allows us to separate the impacts of capital accumulation, labour growth, technical progress and technical efficiency change on economic development. Since estimates of the growth components are conditioned upon model parameterisation and the underlying assumptions, a number of possible specifications are considered. The best model for decomposing output growth is chosen based on the highest marginal data density, which is calculated using adjusted harmonic mean estimator.
The main aim of this paper is to analyse the effect of Common Agricultural Policy (CAP) subsidies on technical efficiency of Polish dairy farms. We have distinguished several types of subsidies and provided an analysis to find out which types are most likely to engender systematic differences in technical efficiency. A balanced panel of microeconomic data on Polish dairy farms over an eight-year period (between 2004 and 2011), taken from the Farm Accountancy Data Network (FADN), is used. The translog production function is estimated by employing the Bayesian approach. The empirical results show that the elasticity of production with respect to livestock is the highest, whereas with respect to feed is the lowest. The mean technical efficiency in the covered period is 83%. The research reveals the negative effect of subsidies on technical efficiency.
An Arpadian age (10th–11th c.) burial ground was unearthed on the plateau of Oberleiserberg along with features and findings from several other periods. It was first discovered during the excavation led by Herbert Mitscha-Märheim and Ernst Nischer-Falkenhof in the 1920s and 30s. In the 1970s and 80s the site was archaeologically investigated by Herwig Friesinger and his team. During these archaeological campaigns 71 additional graves were found. The multidisciplinary analyses of the medieval findings and features as well as the human remains unearthed on Oberleiserberg are part of the international project Frontier, Contact Zone or No Man’s Land — The Morava- Thaya Region from the Early to the High Medieval Ages (I 1911 G21, led by Stefan Eichert and Jiří Macháček funded by FWF (Austrian Science Fund) and GAČR (Czech Science Foundation). The early and high medieval findings indicate contact of the entombed population with nonnative peoples, possibly reaching as far as the Baltic Sea. Anthropological analysis of the excavated skeletons shows us more about the everyday life of the people buried here and together with isotopic analysis of the human remains, conclusions about their living conditions are possible.
The present contribution considers the Pannonian ‘inner fortifications’ in the context of the development of the infrastructure and urban fabric of selected sites on the Lower Danube. Using Sándor Sopronis’ thesis, which postulates that a multiple defensive system gradually expanded in Pannonia after the time of the Tetrarchy, as a starting point, this study concentrates on the inner fortifications founded in the middle third of the 4th century AD in the hinterland of the Limes (Környe, Tác / Gorsium, Keszthely-Fenékpuszta and Alsóheténypuszta) which, together with towns such as Sopianae, Mursa, Cibalae, Sirmium und Bassianae, constituted an inner line of defence. Whether they functioned in a civil or purely military context is a subject that has been, and still is, much debated. However, they appear to have played a significant role in the storage, distribution, and perhaps production, of the annona. A similar situation can be observed on the Lower Danube, in the provinces of Dacia Ripensis, Moesia Prima and Scythia. Here too a series of castra and towns, which took on similar functions in the course of the 4th century AD, are found some 30 to 50 km from the frontier. This area however saw a further development well into the late 6th century AD: several sites continued to play a central role as the sees of bishoprics in the Early Byzantine Period. The examples of Abritus and Tropaeum Traiani, which both possess elements that are strikingly similar to the Pannonian establishments, are used here to gain insights into the processes at work and to discuss the structural parallels comparatively.
The paper considers the modeling and estimation of the stochastic frontier model where the error components are assumed to be correlated and the inefficiency error is assumed to be autocorrelated. The multivariate Farlie-Gumble-Morgenstern (FGM) and normal copula are used to capture both the contemporaneous and the temporal dependence between, and among, the noise and the inefficiency components. The intractable multiple integrals that appear in the likelihood function of the model are evaluated using the Halton sequence based Monte Carlo (MC) simulation technique. The consistency and the asymptotic efficiency of the resulting simulated maximum likelihood (SML) estimators of the present model parameters are established. Finally, the application of model using the SML method to the real life US airline data shows significant noise-inefficiency dependence and temporal dependence of inefficiency.
The paper investigates Bayesian approach to estimate generalized true random-effects models (GTRE). The analysis shows that under suitably defined priors for transient and persistent inefficiency terms the posterior characteristics of such models are well approximated using simple Gibbs sampling. No model re-parameterization is required. The proposed modification not only allows us to make more reasonable (less informative) assumptions as regards prior transient and persistent inefficiency distribution but also appears to be more reliable in handling especially noisy datasets. Empirical application furthers the research into stochastic frontier analysis using GTRE models by examining the relationship between inefficiency terms in GTRE, true random-effects, generalized stochastic frontier and a standard stochastic frontier model.