Defining Capitalism

This article aims to incorporate the essential features of capitalism in an operational definition that identifies capitalism per se (pure laissez‐faire capitalism), and clearly excludes variations such as welfare capitalism and crony capitalism. By concisely highlighting the fundamental structures and mechanisms of capitalism, this essential definition facilitates defences of it that are more robust than those ordinarily offered. It also clarifies the relation between capitalism and phenomena with which it is frequently associated, and suggests a straightforward way of identifying and measuring the extent of capitalism in mixed economies.     

‘HAVE YOU FELT ANGRY LATELY?’: A NOTE ON UNFAIR WAGE PERCEPTIONS AND THE NEGATIVE EMOTION OF ANGER

The author analyses the nexus between unfair wage perceptions of workers and the frequency of the negative emotion of anger. For this purpose, German household panel data for the years 2007, 2009, 2011 and 2013 are used. Angry feelings in the last four weeks have occurred significantly more frequently for workers who perceive their wage as unfair, whereas the own absolute hourly wage is not significantly correlated with the frequency of having felt angry. The results further indicate that workers have felt more often angry if working hours are larger; but the economic significance seems rather small compared to unfair wage perceptions.     

Informed arbitrage with speculative noise trading

We consider speculative noise trading when some naïve speculators trade on noise as if it were information [Black, F., 1986. Noise. Journal of Finance 41, 529–543]. We examine the optimal trading strategy of an informed investor who faces such naïve speculators in the market. We find that the informed investor trades aggressively on her information and takes large, opposite positions against the naïve speculators. The trading volume is thereby drastically magnified. While such speculative noise trading enhances liquidity, it makes prices less efficient. The overall dynamic patterns that emerge from our model are most consistent with the evidence for interday variations in volume, volatility, and transaction costs.     

Individualism and political instability

This paper examines the relationship between the individualism-collectivism dimension of culture and political instability using a dataset covering around 100 countries. To shed light on the causal effect of culture on political instability, the identification strategy exploits the variation in historical pathogen prevalence and the information provided by the genetic distance between countries. The results reveal that individualism has a negative and statistically significant impact on the degree of political instability, which means that this cultural trait contributes to making the political environment more stable. This finding is robust to the inclusion in the analysis of a substantial number of controls that may be correlated with both individualism and political instability, including other cultural dimensions. In fact, the relationship between individualism and political instability does not depend either on the specific measures used to quantify the level of individualism and political instability within the various countries or the estimation strategy adopted. The estimates also show that part of the observed effect of individualism is due to the impact of institutional quality, which acts as a transmission channel linking this cultural trait and political instability.     

GROWTH,INTER‐INDUSTRY AND INTRA‐INDUSTRY COMPETITION AND WELFARE*

In this paper we introduce strategic interaction between firms in an R&D growth model which captures both the intra‐industry competition between firms operating within an industry and the inter‐industry competition between firms in different industries. We show that the more substitutable the goods produced within each industry (across industries) are, that is, the more intense the intra‐industry (inter‐industry) competition, the higher is the growth rate. In the comparison between social optimum and a decentralized economy, it is shown that the market outcome is characterized by inefficiently high entry of firms within each industry and insufficient productivity growth.     

Models of static and dynamic technical efficiency of municipal libraries in the Czech Republic

This article deals with the modelling of the static and dynamic technical efficiency under conditions of municipal libraries of municipalities with 1000–5000 inhabitants. The aim of this article is to determine the level of the technical efficiency and the factors that influence the results of modelling of the static and dynamic technical efficiency of 34 selected municipal libraries for the years of 2011 and 2015. The first model tests the technical efficiency of conventional services of public libraries. The second model tests the technical efficiency of municipal libraries’ operation. The third model tests the technical efficiency of the key revenues and expenditures. The results in the static models estimate the average technical efficiency of municipal libraries in the interval (0.691–0.759) for the input-oriented models, and in the interval (1.413–2.005) for the output-oriented models. In the dynamic models, the majority of municipal libraries in 2015 showed lower technical efficiency and productivity in comparison with the year of 2011. The factors influencing the level of efficiency and its course include the inputs and the outputs, and their combinations within individual models.     

“十五”期间我国沥青应用预测

介绍了沥青的生产和需求现状，并根据消费行为的情况对沥青的市场和价格走势进行预测，分析了国内沥青行业的存在问题。     

Commodity and equity markets: Some stylized facts from a copula approach

In this paper, we propose to identify the dependence structure that exists between returns on equity and commodity futures and its development over the past 20 years. The key point is that we do not impose any dependence structure, but let the data select it. To do so, we model the dependence between commodity (metal, agriculture and energy) and stock markets using a flexible approach that allows us to investigate whether the co-movement is: (i) symmetrical and frequent, (ii) (a) symmetrical and mostly present during extreme events and (iii) asymmetrical and mostly present during extreme events. We also allow for this dependence to be time-varying from January 1990 to February 2012. Our analysis uncovers three major stylised facts. First, we find that the dependence between commodity and stock markets is time-varying, symmetrical and occurs most of the time (as opposed to mostly during extreme events). Second, not allowing for time-varying parameters in the dependence distribution generates a bias towards an evidence of tail dependence. Similarly, considering only tail dependence may lead to false evidence of asymmetry. Third, a growing co-movement between industrial metals and equity markets is identified as early as 2003; this co-movement spreads to all commodity classes and becomes unambiguously stronger with the global financial crisis after Fall 2008.     

Can We Prove a Bank Guilty of Creating Systemic Risk? A Minority Report

Because increasing a bank's capital requirement to improve the stability of the financial system imposes costs upon the bank, a regulator should ideally be able to prove beyond a reasonable doubt that banks classified as systemically risky really do create systemic risk before subjecting them to this capital punishment. Evaluating the performance of two leading systemic risk models, we show that estimation error alone prevents the reliable identification of the most systemically risky banks. We conclude that it will be a considerable challenge to develop a riskometer that is sound and reliable enough to provide an adequate foundation for macroprudential policy.