Joint and marginal specification tests for conditional mean and variance models

This article proposes a class of joint and marginal spectral diagnostic tests for parametric conditional means and variances of linear and nonlinear time series models. The use of joint and marginal tests is motivated from the fact that marginal tests for the conditional variance may lead to misleading conclusions when the conditional mean is misspecified. The new tests are based on a generalized spectral approach and do not need to choose a lag order depending on the sample size or to smooth the data. Moreover, the proposed tests are robust to higher order dependence of unknown form, in particular to conditional skewness and kurtosis. It turns out that the asymptotic null distributions of the new tests depend on the data generating process. Hence, we implement the tests with the assistance of a wild bootstrap procedure. A simulation study compares the finite sample performance of the proposed and competing tests, and shows that our tests can play a valuable role in time series modeling. Finally, an application to the S&P 500 highlights the merits of our approach.     

Productivity growth and biased technological change: Credit banks in Japan

This paper investigates the productivity change of Japanese credit banks with a Malmquist index and the input technological bias during 2000–2006. Our results indicate that the traditional growth accounting method, which assumes Hicks neutral technological change, is not appropriate for analyzing changes in productivity. Our analysis unambiguously shows that management of Shinkin banks has to be improved. These must be based on the improvement of technical efficiency and/or technological change, emulating the procedures of the best-practice banks, i.e., those banks with Malmquist productivity scores higher than one and simultaneously with technical efficiency and technological change higher than one.     

Foreign players,team production,and technical efficiency: Evidence from European soccer

As on-field success is nowadays the main objective of European soccer clubs, good management needs to extract the highest sport success from the squad talent at hand. Because teams differ in their quality, performance needs to be compared with the best practice of comparable units. One remarkable source of heterogeneity across teams is the squad composition, which can produce gains from diversity together with communication costs. The paper studies the efficiency in sporting performance of soccer teams, paying attention to how the number of foreign players relates to productive inefficiency. Using data for 146 teams in the top 5 European leagues during 10 seasons, we estimate a double heteroskedastic True Random Effects Stochastic Frontier team production function. We find that (i) the number of passes, ball recoveries, and shots from the penalty area improve team efficiency, and (ii) a higher number of foreign players increase inefficiency. Our findings suggest that gains from squad diversity might be offset by communication costs.     

Evolution of price-cost margins during the troika intervention

Portuguese Economic Journal - Market competition is a key driver for an efficient allocation of resources and thus to sustained economic growth and higher aggregate welfare. Portugal implemented...     

Explaining Differences in Milk Quota Values: The Role of Economic Efficiency

This article explores the relationship between milk quota values and economic efficiency in order to analyze government interventions in quota allocations among producers. For this purpose, we estimate quota values using a panel of Spanish dairy farms. Quota values are then decomposed into economic efficiency, price, and scale effects in order to assess the relative influence of these factors. We find that efficiency is important in explaining quota values but is uncorrelated with observable farm characteristics. This casts doubts on the government's ability to allocate quotas to efficient farms.     

Efficiency, subsidies, and environmental adaptation of animal farming under CAP

The purpose of this article is to model the interaction between the targets of the current Comman Agriculture Politic (CAP): environmental adaptation, subsidies, and efficiency of animal farming. To this end we first have to identify the production frontier and relative efficiency level for each animal‐oriented farm in the sample. The production frontier and efficiency index for each type of farm (assuming no specific production functions) are identified using Data Envelope Analysis (DEA) techniques. We then address the relationship between relative efficiency, farm size, and environmentally friendly behavior by carrying out a nonparametric regression of efficiency, on economic size, a proxy for the degree of environmental appropriateness, and regional dummies. Calculations of the efficiency of the farms including direct subsidies are compared with the counterfactual exercise in the case in which direct subsidies are not considered. Finally, we look for relations between subsidies and factors such as farm size, efficiency, and environmentally friendly behavior. One key result shows that, on average direct payments generally tend to increase efficiency. However, in most of the cases the mean efficiency decreases as the percentage of direct payments rises. Direct payments are found to be positively related to environmentally friendly production, at least in Germany. However, in general, the direct payment system is not sufficient to offset the fact that the less environmentally friendly farms as well as the larger farms are more efficient.     

The puzzling peso

In the past decade, some observers have noted an unusual aspect of the Mexican peso’s behavior: During periods when the U.S. dollar has risen (fallen) against other major currencies such as the euro, the peso has risen (fallen) against the dollar. Very few other currencies display this behavior. In this paper, we attempt to explain the unusual pattern of the peso’s correlation with the dollar by developing some general empirical models of exchange rate correlations. Based on a study of 29 currencies, we find that most of the cross-country variation in exchange rate correlations with the dollar and the euro can be explained by just a few variables. First, a country’s currency is more likely to rise against the dollar as the dollar rises against the euro, the closer it is to the United States and the farther it is from the euro area. In this result, distance likely proxies for the role of economic integration in affecting exchange rate correlations. Second, a country’s currency is more likely to exhibit this unusual pattern when its sovereign credit rating is more risky. This may reflect that currencies of riskier countries are less substitutable in investor portfolios than those of better-rated countries. All told, these factors well explain the peso’s unusual behavior, as Mexico both is very close to the United States and has a lower credit rating than most industrial economies.     

Protection and Trade in Services: A Survey

This paper surveys the literature on trade in services, focusing on the policies that are used to restrict such trade, the gains from liberalization, and the institutional mechanisms that have been adopted in the pursuit of liberalization. The paper argues that technological progress and international trade negotiations are likely to keep liberalization of trade in services a high profile policy issue. It also suggests that the research agenda should focus on developing better estimates of the welfare costs of protectionism in the service sector.