Effects of Using Mean Scores in Regression Models: An Example From Environmental Psychology

Multiple regression analysis with grouped data is often used as a method for exploring environmental preferences, the preferred unit for measurement in such analyses is mean scores rather than individual scores.Although this procedure allows us to reduce the potential for error in measuring different variables and, as a consequence of this, improves the reliability of the technique, it also produces some additional, undesirable effects. The latter include artificial increases in R² values which give the impression that a high degree of fit has been achieved for the regression model. Indeed, this goodness fit often appears to be better than that which could have been achieved by using individual scores. Further, given that different studies operate with differing numbers of subjects in their groups, the R² scores which result from the analyses of these groups are not directly comparable.In the following discussion, we demonstrate how any value, other than zero for correlations between variables, can be increased, at will, by simply expanding the number of subjects in each group. We present the specialised formulae used for quantifying this increase and offer a warning about the purely relative nature of any study which bases its conclusions on models of regression analysis using grouped data.     

Relationship between organizations, institutions, entrepreneurship and economic growth process

The main goal of this paper is to show that organizations and institutions play a relevant role in the economic growth process, both directly and indirectly. Human capital plays a direct role by facilitating the introduction and use of new technologies. A more indirect role is play by entrepreneurial activity in three ways: 1) supplying monetary funds; 2) creating an adequate social climate and 3) encouraging trust in the society. The hypotheses introduced are tested using the data on eleven countries.     

Institutional capacity to dynamically innovate: An application to the Portuguese case

The present paper addresses the dynamics of innovation, by extending the analysis beyond a static-economic perspective. It offers a dynamic-institutional mapping of relational capacities to dynamically innovate. Its main goal is to contribute to the above-mentioned research theme by presenting a new methodology able to pinpoint different trends in the relational capacities of institutions when they are innovative. Thereby, major characteristics in the networks of innovation are identified. This investigation uses an extended set of private institutions and public organizations located in Portugal, evaluated by their WebPage contents. To this data set a new combination of multivariate statistical methods is applied to detect group performances, to compare them, and to identify gradients of capacity to dynamically innovate. The results demonstrate that this method can provide extremely useful and tailor-made information for policy evaluation at regional or national levels.     

Cointegration with structural changes between per capita product and income inequality in Mexico

The long-run relationship between per capita product and income inequality in Mexico is assessed for the period 1963–2010. The methodology consists of stochastic unit root techniques with structural changes. The integration and cointegration tests suggest that it is not possible to understand this link if the possibility of structural changes is not taken into account. Causality, running from per capita product to income inequality, and a negative and significant overall effect are estimated. However, after the regime shifts – mainly estimated to occur in the 1980s – the connection is no longer meaningful. This result seems to be linked to the slow growth of the Mexican economy after these structural breaks, affecting, in turn, the reductions in income inequality.     

Asymmetric Demand Information and Foreign Direct Investment*

We examine the FDI versus exports decision of firms competing in an oligopolistic (quantity‐setting) market under demand uncertainty and asymmetric information. Compared to a firm that chooses to export, a firm that chooses to set up a plant in the host market has superior information about local market demand. In addition to the well‐known tension between the fixed set‐up costs of investment, the additional variable costs of exports and oligopoly sizes, the incentive to invest abroad is explained by the strategic learning effect. FDI may be observed even if trade costs are zero. The analysis is robust to price competition and to the possibility that a foreign firm can engage in both FDI and exports.     

Second moments in speculative attack models: panel evidence

The paper tests two popular asset based models of speculative attacks and in particular, their emphasis on the second moments of monetary aggregates. Analyzing monthly panels of appropriate countries in three regions, it finds evidence for the importance of money/reserve ratios predicted by both models, as well as the variance of the ratio of M2 to reserves.     

Training policy and organisational performance in the Spanish hotel industry

There is currently a general agreement about the importance of training as a tool to help companies in the development of sustainable competitive advantages based on their human resources. Staff qualification is not an option in the tourism industry; human capital training actually becomes a determining factor to be able to achieve a differential positioning within the sector. In Spain, where the tourism sector is a strategic element, it becomes essential to analyse the training policy applied by tourism enterprises with the aim of assessing its quality and effectiveness. The objective sought in this study is to identify the main factors related to training policy that have an impact on performance. The study carries out an empirical research into the effects that training practices cause on performance levels in the Spanish hotel industry using a sample of 110 hotels.     

An Estimated Stochastic General Equilibrium Model with Partial Dollarization: A Bayesian Approach

In this paper, we develop and estimate a dynamic stochastic, general-equilibrium New Keynesian model with partial dollarization. Bayesian techniques and Peruvian data are used to evaluate two forms of dollarization: currency substitution (CS) and price dollarization (PD). The empirical results are as follow: first, it is noted that the two forms of partial dollarization are important in explaining the significance of the Peruvian data. Second, models with both forms of dollarization dominate models without dollarization. Third, a counterfactual exercise shows that by eliminating both forms of partial dollarization, the response of both output and consumption to a monetary policy shock doubles, making the interest rate channel of monetary policy more effective. Fourth, based on the variance decomposition of the preferred model (with CS and PD), it is found that demand type shocks explain almost all the fluctuation in CPI inflation, the monetary shock being the most important (39%). Remarkably, foreign disturbances account for 34% of the output fluctuations.     

Nontradable Goods and the Real Exchange Rate

How important are nontradable goods and distribution costs to explain real exchange rate dynamics? We answer this question by estimating a general equilibrium model with intermediate and final tradable and nontradable goods. We find that the estimated model can match characteristics of the data that are relevant in international macroeconomics, such as real exchange rate persistence and volatility, and the correlation between the real exchange rate and other variables. The distinction between tradable and nontradable goods is key to understand real exchange rate fluctuations, but the introduction of distribution costs is not. Nontradable sector technology shocks explain about one third of real exchange rate volatility. We also show that, in order to explain the low correlation between the ratio of relative consumption and the real exchange rates across countries, demand shocks are necessary.