Interest rates,distribution and capital accumulation – A post-Kaleckian perspective on the US and Germany

We analyse the effects of interest rate variations on the rates of capacity utilisation, capital accumulation and profit in a simple post-Kaleckian distribution and growth model. This model gives rise to different potential accumulation regimes depending on the values of the parameters in the investment, saving and distribution function. Estimating these core behavioural equations for the US and Germany in the period 1960–2007, we find significant and robust effects of interest payments with the expected sign in each of the equations. Our estimation results imply, both for the US and for Germany, that the effects of changes in the real long-term rate of interest on the equilibrium rates of capacity utilisation, capital accumulation and profits, are characterised by the ‘normal regime’: rising long-term real rates of interest cause falling rates of capacity utilisation, capital accumulation and profits, as well as redistribution at the expense of labour income and hence an increasing profit share in both countries.     

The formation and evolution of childhood skill acquisition: Evidence from India

Building on recent advances in the literature and using a rich data set for two cohorts of children aged between one and twelve for Andhra Pradesh, India, we investigate the determinants of children's cognitive as well as non-cognitive skills. We find evidence of self-productivity for cognitive skills and cross-productivity effects from cognitive on non-cognitive skills. Moreover, we demonstrate that parental investment has contemporaneously positive effects on skill levels for all age groups. Investigating other determinants of these skills, we find child health at age one to influence cognitive abilities at age five, whilst child health at age one is influenced by parental care already during pregnancy and earliest childhood. Understanding the determinants which account explicitly for the effect of a large number of child, caregiver and household characteristics provides insights with regard to possible policy interventions to improve the chances of children in poor environments of developing cognitive and non-cognitive skills crucial for success in many spheres of life.     

Industry dynamics: Foundations for models with an infinite number of firms

This paper explores the connection between three important threads of economic research offering different approaches to studying the dynamics of an industry with heterogeneous firms. Finite models of the form pioneered by Ericson and Pakes (1995) capture the dynamics of a finite number of heterogeneous firms as they compete in an industry, and are typically analyzed using the concept of Markov perfect equilibrium (MPE). Infinite models of the form pioneered by Hopenhayn (1992), on the other hand, consider an infinite number of infinitesimal firms, and are typically analyzed using the concept of stationary equilibrium (SE). A third approach uses oblivious equilibrium (OE), which maintains the simplifying benefits of an infinite model but within the more realistic setting of a finite model. The paper relates these three approaches. The main result of the paper provides conditions under which SE of infinite models approximate MPE of finite models arbitrarily well in asymptotically large markets. Our conditions require that the distribution of firm states in SE obeys a certain “light-tail” condition. In a second set of results, we show that the set of OE of a finite model approaches the set of SE of the infinite model in large markets under a similar light-tail condition.     

The case of the ECB: Better to lean against the wind than to fight a hurricane

In the light of the recent financial crisis, the ECB has announced a slight shift in the reading of its monetary policy strategy and acknowledges that the case for a “leaning against the wind” strategy has strengthened. This implies that now, more than ever, the ECB is willing to dampen asset bubbles in the early stage of their formation. This article explains what the ECB can learn from historical asset bubbles in EU eurozone member countries. The empirical analysis indicates that asset bubbles in some member countries are mostly followed by asset bubbles in further member countries, which supports the ECB’s current reading of its monetary policy strategy.     

Forecasting U.S. car sales and car registrations in Japan: Rationality, accuracy and herding

We analyze forecasts of car sales in the U.S. and forecasts of car registrations in Japan. We document a substantial heterogeneity of forecasts, and we show that, based on traditional criteria, forecasts are neither rational nor unbiased. We also report that forecasters anti-herd, that is, forecasters seem to intentionally scatter their forecasts around a consensus forecast. We further show that cross-sectional heterogeneity of forecasts with regard to anti-herding transmits onto cross-sectional heterogeneity of forecast accuracy. Specifically, we document that forecasters who herd provide more accurate forecasts than their colleagues who anti-herd.     

The evaluation of forest crop damages due to climate change. An application of Dempster–Shafer method

In order to assess damage risk caused by climate change in forest areas, Dempster–Shafer theory of evidence and fuzzy measures were applied to develop a framework for the estimation of economic forest damage. According to the definition of risk supported by the Intergovernmental Panel on Climate Change, a function of hazard and resilience lines of evidence was defined. The results of the hazard and resilience assessment were used to develop an economic framework based on Faustmann studies. The evaluation model, implemented through a spatial analysis procedure, was carried out linking Faustmann formula with hazard and resilience raster maps. The model permitted to estimate in monetary terms two possible costs to be supported: the first one is expressed as the expected damage to the forest crop on the basis of the current obtainable woody assortments and the second one referred to the potential expenses to pay in order to mitigate the risk. Finally, the framework was tested on an area of central Italy (Tuscany region).     

Impact of copula choice on the modeling of crop yield basis risk

A number of problems in agricultural economics involve modeling joint distributions for which the assumption of multivariate normality may not be warranted. Yet, very little work has been conducted evaluating competing methods for modeling joint dependence. We develop a simulation framework to evaluate the bias and efficiency impacts of copula choice in the context of evaluating county‐to‐farm basis risk. The results suggest significant differences in performance across various copulas and approaches. The findings have important implications for risk analysis, insurance, and policy modeling problems in agriculture regarding the selection of method to model dependence among random variables.     

Innovation and performance in the hotel industry

The growing competition in the hotel industry is one of the main challenges of this segment, which increasingly depends on the ability to innovate. Thus, this article aims to analyze the impact of innovation on the performance of employees and hotel organizations. This is an exploratory study, with a quantitative approach using a structured computer-administered questionnaire to 73 managers of hotel chains, located in Brazil, which correspond to 792 hotels. Data analysis used multiple linear regression method with SPSS software to find out the relationship between the factors of innovation (communication, processes, leadership, and strategy) and the performance of employees and hotel organizations. Results show that the factors of communication, leadership, and strategy directly influence the performance of the employees. However, only the leadership factor directly affects the performance of hotel organizations.