A noncooperative model of contest network formation

In this paper we study a model of weighted network formation. The bilateral interaction is modeled as a Tullock contest game with the possibility of a draw. We describe stable networks under different concepts of stability. We show that a Nash stable network is either the empty network or the complete network. The complete network is not immune to bilateral deviations. When we allow for limited farsightedness, a stable network immune to bilateral deviations must be a complete $M$-partite network, with partitions of different sizes. We provide several comparative statics results illustrating the importance of the structure of stable networks in mediating the effects of shocks and interventions. In particular, we show that an increase in the likelihood of a draw has a nonmonotonic effect on the level of wasteful contest spending in the society. To the best of our knowledge, this paper is the first attempt to model weighted network formation when the actions of individuals are neither strategic complements nor strategic substitutes.     

An alternative approach to the construction of multi-regional input–output tables of the Czech Republic: application of the CHARM method

Empirica - The main scope of the paper is to review the construction method of (multi-)regional input–output tables (RIOTs) in the Czech Republic at the NUTS 3 regional level. We compare the...     

Impact of state-dependent oil price on US stock returns using local projections

In this paper, we investigate the impact of oil prices on both aggregate and industry US real stock returns over the period 1973–2017. The empirical analysis contributes to the related literature introducing a state-dependent oil price (high and low) and the local projections approach. Our main finding is that, depending on the nature of the shock and industry, the negative effects of oil price shocks become exacerbated -and the positive effects get moderated- if oil prices are already high.     

Stock market volatility forecasting: Do we need high-frequency data?

The general consensus in the volatility forecasting literature is that high-frequency volatility models outperform low-frequency volatility models. However, such a conclusion is reached when low-frequency volatility models are estimated from daily returns. Instead, we study this question considering daily, low-frequency volatility estimators based on open, high, low, and close daily prices. Our data sample consists of 18 stock market indices. We find that high-frequency volatility models tend to outperform low-frequency volatility models only for short-term forecasts. As the forecast horizon increases (up to one month), the difference in forecast accuracy becomes statistically indistinguishable for most market indices. To evaluate the practical implications of our results, we study a simple asset allocation problem. The results reveal that asset allocation based on high-frequency volatility model forecasts does not outperform asset allocation based on low-frequency volatility model forecasts.     

Further Evidence on PPP Adjustment Speeds: the Case of Effective Real Exchange Rates and the EMS*

Two different approaches intend to resolve the ‘puzzling’ slow convergence to purchasing power parity (PPP) reported in the literature [see Rogoff (1996) , Journal of Economic Literature, Vol. 34.] On the one hand, there are models that consider a non‐linear adjustment of real exchange rate to PPP induced by transaction costs. Such costs imply the presence of a certain transaction band where adjustment is too costly to be undertaken. On the other hand, there are models that relax the ‘classical’ PPP assumption of constant equilibrium real exchange rates. A prominent theory put together by Balassa (1964, Journal of Political Economy, Vol. 72) and Samuelson (1964 Review of Economics and Statistics, Vol. 46) , the BS effect, suggests that a non‐constant real exchange rate equilibrium is induced by different productivity growth rates between countries. This paper reconciles those two approaches by considering an exponential smooth transition‐in‐deviation non‐linear adjustment mechanism towards non‐constant equilibrium real exchange rates within the EMS (European Monetary System) and effective rates. The equilibrium is proxied, in a theoretically appealing manner, using deterministic trends and the relative price of non‐tradables to proxy for BS effects. The empirical results provide further support for the hypothesis that real exchange rates are well described by symmetric, nonlinear processes. Furthermore, the half‐life of shocks in such models is found to be dramatically shorter than that obtained in linear models.     

基于消费者运动的社会营销学研究综述

20世纪美国消费者运动风起云涌。推动了政府的立法活动和营销学研究。本文回顾美国消费者运动的进程，评述基于消费者运动的社会营销学研究，并对中国的消费者权益保护及其社会营销学研究提出建议。     

The economic effects of reducing and reorganizing working time

This article goes beyond the often ideological debate for and against a reduction in working time and analyses the effects of shorter working time at company and country levels. Logic and experience dictate that such reductions must be accompanied by a process of work reorganization and include financial compensation for those working shorter hours. However, while these three ingredients are indissoluble, not all firms can proceed at the same pace and in the same ways. Nevertheless, the article shows that, as long as implementation proceeds in a decentralized and selective manner and is accompanied by a judicious reorganization of these hours, it could be extremely beneficial to all parties—companies, the state and individuals, both workers and producers.     

Liquidity, Labels and Medium-Term Notes

We suggest that the medium-term note market provides an excellent laboratory for exploring the relationships between yield, liquidity, and the label affixed to a financial instrument. Crabbe and Turner (1995) examined the liquidity issue and uncovered the counter-intuitive result that issue size is unrelated to liquidity. Their study failed to examine a potential channel for a liquidity effect, however, in the form of multiple issues from a single, typically large, MTN registration filing. We find evidence that file size is significantly related to yield in a number of instances. Several other proxies for liquidity, such as frequency of issue, are also sometimes significantly related to yields. Contrary to Crabbe and Turner (1995) , we find that labeling a security an MTN can have an impact on its yield. The label "note" also appears to matter for yield in some instances.     

Use of Statistics in the Monetary Policy of the Czech National Bank: The Case of a Country in Transition

In the presented text the authors judge the importance of statistics in the monetary policy of the Czech National Bank (CNB) over the course of the economic transformation process, with particular consideration of changing statistical needs and the possibilities and limits of statistical data exploitation in the monetary analyses. The importance of statistics lies on the level of collection and processing of statistical information and on the level of use of statistical methods to analyse data. Since the start of the 1990s the requirements for statistics were significantly influenced by monetary policy. In the period 1990–1997, monetary targeting was the primary influential factor. Since 1998, the monetary policy is influenced by inflation targeting. Statistical priorities switched from monetary data to economy and financial market data. Much progress has been made in the use of statistical methods for analysing data. Statistics available at present cover the CNB's standard monetary-policy requirements and are on par with those in developed countries. Its further development will reflect the standard changes taking place in the more advanced countries.