Forecasting Surrender Rates Using Elliptical Copulas and Financial Variables

A multistage stochastic model to forecast surrender rates for life insurance and pension plans is proposed. Surrender rates are forecasted by means of Monte Carlo simulation after a sequence of GLM, ARMA-GARCH, and copula fitting is executed. The model is illustrated by applying it to age-specific time series of surrender rates derived from pension plans with annuity payments of a Brazilian insurer. In the GLM process, the only macroeconomic variable used as an explanatory variable is the Brazilian real short-term interest rate. The advantage of such a variable is that we can take future market expectation through the current term structure of interest rates. The GLM residuals of each age/gender group are then modeled by ARMA-GARCH processes to generate i.i.d. residuals. The dependence among these residuals is then modeled by multivariate Gaussian and Student's t copulas. To produce a conditional forecast on a stock market index, in our application we used the residuals of an ARMA-GARCH model fitted to the Brazilian stock market index (Ibovespa) returns, which generates one of the marginal distributions used in the dependence modeling through copulas. This strategy is adopted to explain the high and uncommon surrender rates observed during the recent economic crisis. After applying known simulation methods for elliptical copulas, we proceeded backwards to obtain the forecasted distributions of surrender rates by application, in the sequel, of ARMA-GARCH and GLM models. Additionally, our approach produced an algorithm able to simulate multivariate elliptical copulas conditioned on a marginal distribution. Using this algorithm, surrender rates can be simulated conditioned on stock index residuals (in our case, the residuals of the Ibovespa returns), which allows insurers and pension funds to simulate future surrender rates assuming a financial stress scenario with no need to predict the stock market index.     

Does tourism influence economic growth? A dynamic panel data approach

On average, tourism-specialized countries grow more than others. This is not consistent with the core of modern economic growth theory that suggests that economic growth is linked to sectors with high-tech intensity and large scale. In this article, we use appropriate panel data methods to study the relationship between tourism and economic growth. In general, we show that tourism is a positive determinant of economic growth both in a broad sample of countries and in a sample of poor countries. However, contrary to previous contributions, tourism is not more relevant in small countries than in a general sample.     

Changes in the intellectual structure of strategic management research: a bibliometric study of the Strategic Management Journal, 1980–2000

The aim of this paper is to identify the works that have had the greatest impact on strategic management research and to analyze the changes that have taken place in the intellectual structure of this discipline. The methodology is based on the bibliometric techniques of citation and co‐citation analysis which are applied to all the articles published in the Strategic Management Journal from its first issue in 1980 through 2000. Copyright © 2004 John Wiley & Sons, Ltd.     

Extending Productivity Research Frontiers: DEA Resource of Datasets and Errata

Website databases provide the opportunity to fundamentally change the way research and knowledge are advanced and disseminated. This paper describes a website, http://www.etm.pdx.edu/dea/dataset/, focused on Data Envelopment Analysis and DEA researchers.     

Deadlines and software: disentangling local government accounting reforms in Brazil

ABSTRACT

This paper shows how ongoing accounting reforms in Brazilian local governments were affected by a shift from a universal to a gradual implementation approach. Deadlines being postponed led to a decrease in local governments’ willingness to reform. This effect varied according whether the accountants involved depended on commercial software to operate a particular accounting policy. An important finding from this research was that software providers are to some extent setting the IPSAS implementation agenda in Brazil.     

Labour segregation and immigrant and native-born wage distributions in Spain: an analysis using matched employer–employee data

This article carries out an empirical examination of the origin of the differences between immigrant and native-born wage structures in the Spanish labour market. Special attention is given in the analysis to the role played by occupational and workplace segregation of immigrants. Legal immigrants from developing countries exhibit lower mean wages and a more compressed wage structure than native-born workers. By contrast, immigrants from developed countries display higher mean wages and a more dispersed wage structure. The main empirical finding is that the disparities in the wage distributions for the native-born and both groups of immigrants are largely explained by their different observed characteristics, with a particularly important influence in this context of workplace and, specially, occupational segregation. Hipólito Simón, Esteban Sanromá and Raúl Ramos wish to thank the support received from the Ministerio de Fomento and the Ministerio de Educación y Ciencia through the projects T 75/2006 (Plan Nacional de Investigación, Desarrollo e Innovación Científica), SEJ2004-05860/ECON and SEJ2005-04348/ECON, respectively. A previous version of this paper was published as an IVIE Working Paper (WP-EC 2007-03).     

Managing real exchange rate for economic growth: Empirical evidences from developing countries

Abstract

This article analyses macroeconomic policies capable of influencing the long-run real exchange rate (RER). In this vein, it identifies economic policy tools that can devalue RER, covering a theoretical issue neglected by the economic literature, which argues that competitive exchange rate enhances growth. After discussing the “Trilemma,” we identify those variables that could affect RER without constraining monetary policy or exchange rate regime choice. In what follows, we model the probability of achieving an undervalued (small or large) RER for a sample of 14 developing countries from 1980 to 2010 (30?years) by applying econometric techniques for discrete choice and censored data. Afterwards, we compare the results for Latin American nations with Asian ones. They suggest that competitive exchange rate requires different approaches depending on the region. Moreover, Latin American countries need to take on additional policies so that interventions in the foreign exchange market become effective.     

Income Inequality and Technological Adoption

We relate technological adoption (of different technologies) with income inequality. In the process, we discover that some technologies, such as aviation, cell phones, electric production, internet, telephone, and TV, are skill-complementary in raising inequality. We construct standardized indexes of skill-complementary technological adoption for modern information and communication technologies (ICT), older ICT, production and transport technologies. We find strong evidence that older ICT and transport technologies (and less frequently modern ICT) tend to increase inequality. Additionally, we discover that results are much stronger in rich countries than in poor ones. Our results are quite robust to a series of changes in specifications, estimators, samples, and measurement of technology adoption. These results may bring insights into the design of incentive schemes for technology adoption.     

Correction to: From stand-up to start-up: exploring entrepreneurship competences and STEM women’s intention

International Entrepreneurship and Management Journal - The author included the name of her University in English “Technical University of Madrid” and it seems that to validate it for...     

‘Exploratory landscape scenarios’ in the formulation of ‘landscape quality objectives’

The European Landscape Convention (ELC) calls for the definition of ‘landscape quality objectives’ (LQO) as “the formulation by the competent public authorities of the aspirations of the public with regard to the landscape features of their surroundings”. However, it is not yet defined how the integration of the visions of the public should be carried out. Notably in regions with poor participatory culture and in rural landscapes abandoned by people and consequently by their activities, dealing with the future does not seem a straightforward task. In these marginal rural landscapes the role of agriculture is being altered under the influence of the new rationale of the Common Agriculture Policy, so it may have to assume different functions in the future. Thus, this paper aims at showing how the development of ‘exploratory landscape scenarios’ can be a useful tool, firstly to find plausible landscape futures, and secondly to trigger discussions with the public regarding their aspirations for their landscape. The development procedure for ‘exploratory landscape scenarios’ builds on the ‘intuitive logics’ approach that focuses on the production of a variety of scenarios as starting point for discussion about the future rather than on finding an optimal one, which can limit the options unnecessarily from the beginning. The methodological approach is illustrated at a local scale by using the case study of Mértola in southeast Portugal. The results of the scenario exercise point out the adequateness of the methodology in the development of futures that are perceived as plausible by local stakeholders and, thereby, able to bring out their desires and threats towards the future of their landscape.