Increasing linkages among European regions. The role of sectoral composition

This paper analyses changes in economic regional interlinkages in Europe over time and investigates the factors that could explain the dynamics of these changes. Our four main findings are the following: (i) we detect a significant surge in regional synchronisation after the Great Recession; (ii) we identify the regions most interrelated with the rest of Europe, namely, Ile de France, Inner London and Lombardia; (iii) we find that sectoral composition explains regional synchronisation in Europe, mainly after the Great Recession and (iv) we document that sectoral composition has important implications for aggregate economic fluctuations, in particular, that similarities in services-related sectors across regions explain a nonlinear relationship between sectoral composition and regional business cycle synchronisation. We also propose a new method to measure time-varying synchronisation in small samples that combines regime-switching models and dynamic model averaging.     

CONTESTED ELECTIONS IN A CITIZEN CANDIDATE MODEL

This work follows the citizen candidate model of Besley and Coate (1997) to show that for a unidimensional policy issue, a moderate default policy rules out equilibrium outcomes in which there is an uncontested candidate.     

Dynamic model averaging in large model spaces using dynamic Occam׳s window

Bayesian model averaging has become a widely used approach to accounting for uncertainty about the structural form of the model generating the data. When data arrive sequentially and the generating model can change over time, Dynamic Model Averaging (DMA) extends model averaging to deal with this situation. Often in macroeconomics, however, many candidate explanatory variables are available and the number of possible models becomes too large for DMA to be applied in its original form. We propose a new method for this situation which allows us to perform DMA without considering the whole model space, but using a subset of models and dynamically optimizing the choice of models at each point in time. This yields a dynamic form of Occam׳s window. We evaluate the method in the context of the problem of nowcasting GDP in the Euro area. We find that its forecasting performance compares well with that of other methods.     

A MATCHED PAIRS ANALYSIS OF STATE GROWTH DIFFERENCES

The American states have provided a rich laboratory in which to examine influences on economic growth, physical capital, human capital, and a variety of policy variables. Existing studies typically use broad cross sections of all states or particular regional subsamples. Pairwise matching is an alternative design for better controlling of omitted variables. We estimate a growth model of U.S. states for 1997–2005 before and after applying different pairwise matching techniques. Our results indicate that sample estimates based on pairwise matching substantially improve the overall ability of the growth model to identify the growth‐enhancing effects of lower tax burdens in general and lower individual income‐tax rates in particular. These effects are more pronounced with narrower matching criteria. (JEL H00, C29, O40)     

中国品牌经济发展的地区差距与影响因素——基于Dagum基尼系数分解方法与中国品牌500强数据的实证研究

本文使用世界品牌实验室发布的2004-2011年中国品牌500强数据,采用Dagum(1997)的基尼系数方法测算了中国品牌经济发展的地区差距并进行了地区分解,对品牌经济发展地区差距的影响因素进行了实证研究。研究结论表明:总体上中国品牌经济呈现快速发展态势而地区差距在持续扩大。具体而言,中国品牌经济发展的地区差距主要来源于超变密度和地区内差距的贡献,地区间差距虽呈上升趋势但其贡献相对较小。进一步地,动态面板数据的两步法系统GMM估计表明,一个区域内的品牌经济发展存在显著的循环累积效应,市场容量、区位条件对于品牌经济发展具有显著的正向促进作用,而R&D和市场竞争程度对于品牌经济的发展作用因被解释变量的不同而不同,而且在统计上也并不显著。     

中国区域经济发展与劳动力流动——使用区域连接CGE模型的数量分析

本文从区域间劳动力流动的视角出发分析中国区域经济发展的问题，特别是工资和收入差距的问题，使用的方法主要是区域连接CGE模型，应用该模型进行了比较静态分析（1997年）和比较动态分析（1997—2010年）。依据模拟的结果我们探讨了劳动自由流动的强度、劳动力流动的量、区域间工资或收入差距这三者之间的关系，同时也考察了扩大政府对西部等特定地区的投资所带来的效果。     

Forecasting economic activity by Bayesian bridge model averaging

This paper proposes the use of Bayesian model averaging (BMA) as an alternative tool to forecast GDP relative to simple bridge models and factor models. BMA is a computationally feasible method that allows us to explore the model space even in the presence of a large set of candidate predictors. We test the performance of BMA in now-casting by means of a recursive experiment for the euro area and the three largest countries. This method allows flexibility in selecting the information set month by month. We find that BMA-based forecasts produce smaller forecast errors than standard bridge model when forecasting GDP in Germany, France and Italy. At the same time, it also performs as well as medium-scale factor models when forecasting Eurozone GDP.     

Which is the best: A comparison of asset pricing factor models in Chinese mutual fund industry

Factor models are commonly used in estimating risk-adjusted fund performance. We compare the commonly used factor models in empirical asset pricing studies and find that Fama and French (2015) five-factor model outperforms other models in the Chinese mutual fund industry and in most fund segments. The factor models we tested are more effective in explaining the return of index funds than other types. Meanwhile, we also find that the capital asset pricing model (CAPM) better controls the estimated alpha dispersion than other models. Though most multifactor models including Carhart (1997) have higher R-squared than CAPM, the cross-sectional differences between them are not statistically significant.     

Does European regional competitiveness influence sports? An analysis of three sports

The main objective of this work was to test European regional determinants of sports competitiveness. We studied competitiveness in volleyball, basketball and handball. We developed a theoretical model based on the model proposed by Bernard and Busse (2004) to analyse the effect of regional institutions and sport environments that can interfere with sports competitiveness. To test our model, we constructed an enlarged database for all European NUTS2 since 1995, which we analysed using panel data techniques (censored Tobit models). Our results reveal that the regions that are able to maintain player performance do so by persistent effort and external influences. These factors contribute more to regional competitiveness than a region’s central location or political prominence.     

The World Is Not Enough! Small Open Economies and Regional Dependence

In this paper, we explicitly introduce regional factors into a global dynamic factor model. We combine new open economy factor models (emphasizing global shocks) with the recent findings of regional importance in the business cycle synchronization literature. The analysis is applied to a large panel of domestic data for four small open economies. We find that global and regional shocks explain roughly 30 and 20 percent, respectively, of the business cycle variation in all countries. While global shocks have most impact on trade variables, regional shocks explain a relatively large share of the variation in cost variables.     

On optimal cycles in dynamic programming models with convex return function

Summary. In this paper we study the behavior of optimal paths in dynamic programming models with a strictly convex return function. Such a model has been investigated in Dawid and Kopel (1997) who assume that the growth of a renewable resource is governed by a piecewise linear function. We prove that in their model the optimal cycles undergo the following qualitative changes or bifurcations: a cycle of period n“bifurcates” into a cycle of period n+1 for increasing elasticity of the return function. We also show that under the assumption of a concave differentiable growth function the qualitative properties of the optimal policy remain valid: oscillating behavior is optimal. Furthermore, we demonstrate numerically that the period of a cyclic optimal path increases if the convexity of the return function (measured by the elasticity) increases. Received: January 22, 1997; revised version: October 13, 1997     

Tying the politicians’ hands: The optimal limits to representative democracy

The citizen candidate models of democracy assume that politicians have their own preferences that are not fully revealed at the time of elections. We study the optimal delegation problem which arises between the median voter (the writer of the constitution) and the (future) incumbent politician under the assumption that not only the state of the world but also the politician's type (preferred policy) are the policy‐maker's private information. We show that it is optimal to tie the hands of the politician by imposing both a policy floor and a policy cap and delegating him/her the policy choice only in between the cap and the floor. The delegation interval is shown to be the smaller the greater is the uncertainty about the politician's type. These results are also applicable to settings outside the specific problem that our model addresses.     

IMPERFECTLY INFORMED VOTERS AND STRATEGIC EXTREMISM

We analyze a two‐candidate Downsian model considering that voters use shortcuts (e.g., interest‐group/media endorsements) to infer candidates' policy platforms. That is, voters do not observe candidates' exact platforms but only which candidate offers the more leftist/rightist platform (relative positions). In equilibrium, candidates' behavior tends to maximum extremism, but it may converge or diverge depending on how voters behave when indifferent policywise between the candidates. When the tie‐breaking rule used by the voters is sufficiently fair, candidates converge to the extreme preferred by the median voter, but when it strongly favors a certain candidate, each candidate specializes in a different extreme.     

Patterns and determinants of the horizontal and vertical intra-industry trade of regions: panel analysis for Spain & Poland

ABSTRACT

Most of the empirical studies in the literature on intra-industry trade are conducted at the country level. Countries, however, differ in terms of granularity and internal heterogeneity. In the present study we empirically identify the determinants of the overall IIT as well as its horizontal and vertical components in the trade of Spanish and Polish NUTS-2 regions with all existing trade partners over the period 2005–2014. In order to obtain unbiased results, we utilize a semi-mixed effect model, estimated with the PPML method. We estimate the models jointly for all Spanish and Polish regions and then disjointly in a comparative manner – in order to identify incongruities of reaction to the various factors investigated. These include both traditional factors and a number of unorthodox factors such as regional path dependence, quality of regional institutions, the core or peripheral status of the reporting region.     

A Comparison of Alternative Non-parametric Estimators of the Short Rate Diffusion Coefficient

In this paper we discuss the estimation of the diffusion coefficient in one-factor models for the short rate via non-parametric methods. We test the estimators proposed by Ait-Sahalia (1996) , Stanton (1997) and Bandi and Phillips (2003) on Monte Carlo simulations of the Vasicek and CIR model. We show that the Ait-Sahalia estimator is not applicable for values of the mean reversion coefficient typically displayed by interest rate data, while the Stanton and Bandi–Phillips estimators perform better. Each of the three estimators depends crucially on the choice of the bandwidth parameter. Our analysis shows that the estimators give different results for both the data set analysed by Ait-Sahalia (1996) and by Stanton (1997) . Finally we show that the data sets used by Ait-Sahalia and Stanton are inherently different and, in particular, that very short-term data exhibit characteristics which are inconsistent with a diffusion.     

Monetary policy and transmission mechanism in Brazil: an empirical model

We propose an econometric model for the transmission mechanism in Brazil after the inflation target regime (IT) implementation. We follow the statistical approach based on the LSE methodology by means of the Spanos (J Econom 44:87–105, 1990) categorization. Our proposed model includes the ratios of the debt and primary surplus to the GDP representing the government fiscal effort. We identify two long run relationships that produce new information on how to evaluate the real interest rate and the nominal interest rate links, respectively, with the output gap and the nominal inflation derived from the IS and the interest rule theoretical models. Such specification explores the role played by fiscal variables in monetary transmission; considering the government fiscal effort, a relevant issue for Brazil. We were also able to identify a third long run relationship that might help to uncover how output gap is related not only with nominal variables but also with the debt to the GDP ratio.     

Electoral competition with privately-informed candidates

This paper formulates and analyzes a general model of elections in which candidates receive private signals about voters' preferences prior to committing to political platforms. We fully characterize the unique pure-strategy equilibrium: After receiving her signal, each candidate locates at the median of the distribution of the median voter's location, conditional on the other candidate receiving the same signal. Sufficient conditions for the existence of pure strategy equilibrium are provided. Though the electoral game exhibits discontinuous payoffs for the candidates, we prove that mixed strategy equilibria exist generally, that equilibrium expected payoffs are continuous in the parameters of the model, and that mixed strategy equilibria are upper hemicontinuous. This allows us to study the robustness of the median voter theorem to private information: Pure strategy equilibria may fail to exist in models “close” to the Downsian model, but mixed strategy equilibria must, and they will be “close” to the Downsian equilibrium.     

IDENTIFICATION AND ESTIMATION OF EXCHANGE RATE MODELS WITH UNOBSERVABLE FUNDAMENTALS*

This article is concerned with issues of model specification, identification, and estimation in exchange rate models with unobservable fundamentals. We show that the continuous‐time model proposed by Gardeazabal, Regúlez, and Vázquez (International Economic Review 38 (1997), 389–404) is not identified and that this property is characteristic of the discrete‐time representation of the model that they used as the basis for estimation by simulated method of moments. We briefly discuss the implications of this result in the context of the asset‐market model of exchange rates with unobservable fundamentals.     

The equivalence between costly and probabilistic voting models

In costly voting models, voters abstain when a stochastic cost of voting exceeds the benefit from voting. In probabilistic voting models, they always vote for a candidate who generates the highest utility, which is subject to random shocks. We prove an equivalence result: In two-candidate elections, given any costly voting model, there exists a probabilistic voting model that generates winning probabilities identical to those in the former model for any policy announcements, and vice versa. Thus many predictions of interest established in one of the models hold in the other as well, providing robustness of the conclusions to model specifications.