Estimating technical efficiency under unobserved heterogeneity with stochastic frontier models: application to northern German dairy farms

This article uses panel data estimation techniques to examinetechnical efficiency of individual dairy farms in northern Germany.To the extent that agricultural production is characterisedby heterogeneous production conditions, estimation techniquesthat do not account for unobserved heterogeneity produce biasedefficiency estimates. We therefore estimate a number of conventionalpanel data models and Greene's recently proposed ‘true’random-effects model, as well as an extension of the model toascertain the effects of different specification on the productionfunction and efficiency estimates. Our results appear to supporttheoretical expectations and previous findings according towhich a specification that is both time-variant and also controlscorrelations between unobserved heterogeneity and the explanatoryvariables avoids heterogeneity bias and thus ensures consistentefficiency estimates.     

Overcoming the ethnocentric firm? – foreign fresh university graduate employment in Japan as a new international human resource development method

Abstract

This article analyses a new and, by international comparison, distinct recruitment trend – the systematic hiring of foreign fresh university graduates (FFGs) into Japanese multinational enterprises’ (MNEs) operations in Japan. Our explorative research, which is based on interviews with HR managers and FFGs, offers three major findings related to international HR development methods. Firstly, the inpatriate literature has identified the roles of foreign (subsidiary) staff as knowledge conduits and boundary-spanners between headquarters and subsidiaries. While such objectives do not drive Japan’s FFG hiring trend, we find similar challenges in terms of the absorptive capacities of headquarters. Secondly, following a Varieties-of-Capitalism perspective, we argue that FFG hiring is an institutional answer to the particularities of Japan’s employment system. Aiming at internationalizing headquarters from within, it contributes to resolving the internationalization conundrum of Japanese MNEs, but rather than overcoming the existing ethnocentric HR model it accommodates this orientation. Thirdly, we advance the general HR literature by proposing a new framework that addresses the viability of international personnel development methods in dependence of the workforce diversity and distinctiveness of employment practices in headquarters. We locate FFG hiring, inpatriation and self-initiated assignments within this framework.     

Unilateral Climate Policy: Harmful or Even Disastrous?

This paper deals with possible foreign reactions to unilateral carbon demand reducing policies. It differentiates between demand side and supply side reactions as well as between intra- and inter-temporal shifts in greenhouse gas emissions. In our model, we integrate a stock-dependent marginal physical cost of extracting fossil fuels into Eichner and Pethig’s (Int Econ Rev 52(3):767–805, 2011) general equilibrium carbon leakage model. The results are as follows: Under similar but somewhat tighter conditions than those derived by Eichner and Pethig (Int Econ Rev 52(3):767–805, 2011), a weak green paradox arises. Furthermore, a strong green paradox can arise in our model under supplementary constraints. That means a “green” policy measure might not only lead to a harmful acceleration of fossil fuel extraction but to an increase in the cumulative climate damages at the same time. In some of these cases there is even a cumulative extraction expansion, which we consider disastrous.     

Einfluss des Klimawandels auf die deutsche Energieversorgung

German energy supply faces a fundamental and long-term change. By the middle of the century, greenhouse gas emissions will have been greatly reduced and the global climate will start to change in a visible manner. In order to determine and to quantify the physical impacts of climate change on energy supply, a climate risk indicator for the energy industry based on a series of expert interviews has been developed. Climate change-induced risks will slightly outweigh the opportunities. The restructuring of the energy system has only minor effects, because the risks inherent to non-renewable energies, in particular those related to cooling water, are replaced by new risks, especially deriving from the use of biomass.     

Equilibrium Pricing and Optimal Hedging in Electricity Forward Markets

Spot power prices are volatile and since electricity cannot be economically stored, familiar arbitrage-based methods are not applicable for pricing power derivative contracts. This paper presents an equilibrium model implying that the forward power price is a downward biased predictor of the future spot price if expected power demand is low and demand risk is moderate. However, the equilibrium forward premium increases when either expected demand or demand variance is high, because of positive skewness in the spot power price distribution. Preliminary empirical evidence indicates that the premium in forward power prices is greatest during the summer months.     

A comparison of endogenous and exogenous timing in a social learning experiment

We experimentally investigate social learning in a two-agent prediction game with both exogenous and endogenous ordering of decisions on a continuous action space. We are first in comparing exogenous and endogenous ordering within one framework, which enables a direct comparison of both structures in terms of informational efficiency, strategic delay and welfare. More efficient observational learning leads to more accurate predictions in the endogenous setting and increases informational efficiency compared to an exogenous setting. However, strategic delay induces waiting costs that offset these benefits and lead to a parity of exogenous and endogenous ordering in terms of welfare results. Our results hold relevance for the efficient design of decision regimes in contexts characterized by continuous action spaces.     

Smooth estimation of a monotone hazard and a monotone density under random censoring

We consider kernel smoothed Grenander‐type estimators for a monotone hazard rate and a monotone density in the presence of randomly right censored data. We show that they converge at rate n^2/5 and that the limit distribution at a fixed point is Gaussian with explicitly given mean and variance. It is well known that standard kernel smoothing leads to inconsistency problems at the boundary points. It turns out that, also by using a boundary correction, we can only establish uniform consistency on intervals that stay away from the end point of the support (although we can go arbitrarily close to the right boundary).     

Umbrella branding and external certification

In a market environment with random detection of product quality, a firm can employ umbrella branding as a strategy to convince consumers of the high quality of its products. Alternatively, a firm can rely on external certification of the quality of one or both of its products. We characterize equilibria in which umbrella branding fully or partially substitutes for external certification. We also show that the potential to signal quality is improved if consumers condition their beliefs on the source of information, namely whether information comes from external certification or from random detection.