Tax-induced Dissimilarities Between Domestic and Foreign Mutual Funds in Italy

Using data from Italy over the period 1998–2002, this study investigates whether tax effects can account for differences in return patterns between domestic and foreign mutual funds, and if this dissimilarity translates into performance. The paper presents evidence that much of the difference between domestic and foreign funds is explained by the different tax systems. The asymmetry between the two groups, due to the fact that domestic funds are obliged to pay taxes on a daily basis while foreign funds are taxed when capital gains are collected, also affects performance. We prove that comparing pre-tax returns, Italian funds are virtually indistinguishable from their foreign counterparts in terms of risk-adjusted returns, while when comparing after-tax returns, foreign funds outperform.     

Elicitation of Expert Opinion in Benefit Transfer of Environmental Goods

Benefit transfer is a method for estimating the value of environmental goods that involves the use of past information on identical or similar goods. This paper considers the extent to which benefit transfer can be based on prior distributions elicited from expert opinion. We propose two alternative methods to elicit the parameters of a prior distribution from experts on environmental valuation. An experiment is carried out on the value of National Parks in Spain. The results from the elicited distributions are compared with the information provided by onsite samples of visitors. The results indicate that individual experts made different predictions about the potential value of the policy areas that were diverse and unable to accurately predict the value for each policy site. However, the average across the elicited distributions approaches the estimated distribution with empirical data and accurately predicts the relative values for the two policy sites considered.     

Trade and agricultural development in the 1980s and the challenges for the 1990s: Latin America

Trends in agricultural trade for South and Central America are documented and the reform process is discussed. Performance of the agricultural sector of the region is evaluated. Challenges for policy makers are reviewed, ranging from macroeconomic policy to science and technology.     

Brazilian children and the economic crisis: Evidence from the State of São Paulo

This paper briefly reviews the socio-economic conditions and the situation of children in Brazil during 1960–1980, drawing on data for the country as a whole and concentrating on the policies of the 1964–1973 years. It also examines more recent developments that led to the current crisis as well as its overall social impact on employment, food consumption and prices, and government social expenditures. The possible effects of the crisis on the welfare of children in the State of São Paulo are examined in detail. Finally, the paper reviews the government policy for protecting the poor and vulnerable in general and children in particular.     

Outside and inside the regression “black box” from exploratory to interior data analysis

Good data analysis consists of three phases: (1) preliminary analysis, (2) confirmatory analysis (model testing), and (3) interior analysis (model checking). Social scientists doing quantitative research usually concentrate on only one of the three: confirmatory analysis. I argue that there is much to be learned from careful preliminary and interior analyses. I present an extensive example of data analysis for each of the three phases using the same data set in each phase. Rather than surveying all the possible tools available in each phase of data analysis, I concentrate on Exploratory Data Analysis techniques (stem-and-leaf plot, letter-value display, box plot, and power transformations) for the preliminary phase, on OLS for the confirmatory phase, and on residuals, leverage and single-case influence measures for interior analysis.     

Sectoral shifts, diversification and regional unemployment: evidence from local labour systems in Italy

Using Local Labour Systems (LLSs) data, this work aims at assessing the effects of sectoral shifts and industry specialization patterns on regional unemployment in Italy over the years 2004–2008. Italy represents an interesting case study because of the high degree of spatial heterogeneity in local labour market performance and the well-known North–South divide. Furthermore, the presence of strongly specialized LLSs (Industrial Districts, IDs) allows us to test whether IDs perform better than highly diversified urban areas thanks to the effect of agglomeration economies, or viceversa. Building on a semiparametric spatial auto-regressive framework, our empirical investigation documents that sectoral shifts and the degree of specialization exert a negative role on unemployment dynamics. By contrast, highly diversified areas turn out to be characterized by better labour market performances.     

A model to evaluate transient industry effects

In this paper we present a model to evaluate transient industry effects, that is, the impact of business cycles on the industry. While the importance of the economic cycle for industry and firm performance is widely recognized, we do not know much about how much the business cycle influences industry activity. The aim of this paper is to present a method that helps to understand the relationship between the business cycle and an industry's level of activity. Copyright © 2008 John Wiley & Sons, Ltd.     

Environmental Kuznets Curves for Air Pollutant Emissions in Italy: Evidence from Environmental Accounts (NAMEA) Panel Data

This paper provides new empirical evidence on delinking and Environmental Kuznets Curves (EKC) for greenhouse gases and other air pollutant emissions in Italy. A panel dataset based on the Italian NAMEA (National Accounts Matrix including Environmental Accounts) for 1990–2001 is analysed. The highly disaggregated dataset (29 production branches, 12 years and nine air emissions) provides a large heterogeneity and can help to overcome the shortcomings of the usual approach to EKC based on cross-country data. Both value added and capital stock per employee are used as alternative drivers for analysing sectoral NAMEA emissions. Trade openness at the same sectoral level is also introduced among the covariates. We find mixed evidence supporting the EKC hypothesis. The analysis of NAMEA-based data shows that some of the pollutants such as two greenhouse gases (CO₂ and CH₄) and CO, produce inverted U-shaped curves with coherent within-range turning points. Other pollutants (SO_X, NO_X, PM₁₀) show a monotonic or even N-shaped relationship. Macro sectoral disaggregated analysis highlights that the aggregated outcome should hide some heterogeneity across different groups of production branches (industry, manufacturing only and services). Services tend to present an inverted N-shape in most cases. Manufacturing industry shows a mix of inverted U and N-shapes, depending on the emission considered. The same is true for industry (all industries, not only manufacturing): although a turning point has been experienced, N-shapes may lead to increased emissions with respect to very high levels of the economic driver. In general, EKC evidence is more pronounced for greenhouse gases. The results suggest that analysis at macro sector (whole industry, manufacturing only and services) can be the most promising approach to future research on EKC.     

The Role of Bank and Corporate Balance Sheets on Early Warning Systems of Currency Crises—An Empirical Study

This study analyzes the role of bank and corporate balance sheets on early warning systems (EWS) of currency crises. Using firm-level data on debt structure, leverage, liquidity, and profitability, this study presents estimations of EWS for a panel of emerging markets. Using calibration experiments, we assess the performance of alternative EWS specifications in a comprehensive range of crisis-probability cut-offs?. These models supplement EWS based on traditional macroeconomic indicators, improving forecasting performance substantially. The results support the third-generation models of currency crises and can assist policymakers on the design of surveillance strategies tailored for heterogeneous levels of risk tolerance and country specificities.