Key Sectors,Industrial Clustering and Multivariate Outliers

In this paper a reflection is made on the problems that can arise in key sector analysis and industrial clustering, due to the usual presence of outliers when using multidimensional data related to the sectors in an input–output table. Multidimensional outliers are considered as being not only linked to the low number of clusters usually observed in this kind of study, but probably causing invalid results in most of the works involving multivariate statistical techniques, such as cluster and factor analysis. Actually, by comparing the key sectors of the Spanish economy obtained in Díaz et al. (2006) Díaz, B., Moniche, L. and Morillas, A. 2006. A fuzzy clustering approach to the key sectors of the Spanish economy. Economic Systems Research, 18: 299–318. [Taylor & Francis Online] [Google Scholar] to the ones we get taking into account the problem the outliers pose, one can realize they greatly distort the results. On the other hand, it is shown that identification of outliers can be considered as a good and new procedure to help select the most important sectors in an economy.     

An analysis of the construct “involvement” in consumer behaviour

The aim of this paper is to analyse the construct involvement. Specifically, the present work extends the sphere of study of the construct involvement at brand level, applying it to Denominations of Origin (D.O.s). Hence, after an overview of the concept, it suggests a cognitive approach to the measurement of involvement. It proposes as indicators the number of values associated with this designation, the centrality of these values and the intensity of the association. In this delimitation of the concept, a model is presented that is set within the framework of an analysis of the decision-making process adopted by consumers when purchasing wine. This postulates that temporary involvement with a D.O. has explanatory power, as does the direct effect of the regular outcomes of a permanent involvement with such a designation on the process in question. In addition, a correlation is proposed between the state of temporary involvement with a D.O. and the continuing consequences of a permanent involvement with this designation.     

An additive property of weak records from geometric distributions

Let $\{W_m\}{_{m\ge 1}}$ be the sequence of weak records from a discrete parent random variable, $X$ , supported on the non-negative integers. We obtain a new characterization of geometric distributions based on an additive property of weak records: $X$ follows a geometric distribution if and only if for certain integers, $n,\, s\ge 1, W_{n+s}\stackrel{d}{=}W_n+W^{\prime }_s$ , with $W^{\prime }_s$ independent of $W_n$ and $W^{\prime }_s\stackrel{d}{=} W_s$ .     

Evaluating the economy embedded in the Brazilian ethanol–gasoline flex-fuel car: a Real Options approach

The introduction of the flex-fuel cars in the Brazilian market in 2003 changed considerably the consumer decision-making process. Prior to this date, it was necessary to choose the automobile type only by gasoline or by ethanol fuel; today it is possible to choose a car type with both fuel options. This flexibility generates economic advantages for his owner, but what are the financial benefits of a flex-fuel car in comparison with a car using only gasoline? Geographically, where is the owner of the benefits from this flexibility located? This article presents an empirical application of the Real Options Theory in the analysis of the flex-fuel car option for five geographic Brazilian regions: Northern, Northeastern, Central-Western, Southeastern and Southern. The regional price differences as well as the consumer preferences of these regions were met. For this purpose, historical fuel prices were considered stochastic and following a Mean Reverting Stochastic process. The prediction and option values were generated by a Monte Carlo simulation. The results indicated that the option embedded on the Brazilian flex-fuel car adds considerable value to the owner in all regions and car models considered, with the Southeastern Region receiving most benefits by the flex option.     

Teaching the history of economic thought

The main purpose of this survey is to present the results of a questionnaire recently sent to historians of economic thought. This questionnaire — presented in the appendix - was devised so as to provide data on the approaches and experiences of teaching the history of economic thought in a wide range of universities throughout the world.

A summary of the most significant results is presented in section 2 of this survey. Section 1 provides a general introduction to the methodological context of the discussion of problems concerning the teaching of the discipline.     

International income inequality, 2005–2011: what a difference 6 years can make

While much attention has recently been given to the rising inequality in high-income countries, particularly the US, inequality across countries has received less attention. Based on reports of the International Comparison Program, which provide the most accurate measures of PPP income at the country level, this study computes three highly recommended measures of intercountry income inequality for the years 2005 and 2011. A dramatic, and perhaps unprecedented, fall in intercountry inequality over the relatively short period of 6 years is noted. As a correlate of the fall in intercountry inequality, aggregate PPP GDP for six major high-income countries is compared with that for three large developing countries, and the dramatic increase over the 6-year period in the ratio of the total GDP of the three developing countries to that for the six high-income countries is noted, thus extending, from the most accurate data, the theme of the ‘rise of the South’ articulated in Human Development Report 2013.     

CAUSAL INFERENCE ON EDUCATION POLICIES: A SURVEY OF EMPIRICAL STUDIES USING PISA,TIMSS AND PIRLS

The identification of the causal effects of educational policies is the top priority in recent education economics literature. As a result, a shift can be observed in the strategies of empirical studies. They have moved from the use of standard multivariate statistical methods, which identify correlations or associations between variables only, to more complex econometric strategies, which can help to identify causal relationships. However, exogenous variations in databases have to be identified in order to apply causal inference techniques. This is a far from straightforward task. For this reason, this paper provides an extensive and comprehensive overview of the literature using quasi‐experimental techniques applied to three well‐known international large‐scale comparative assessments, such as PISA, PIRLS or TIMSS, over the period 2004–2016. In particular, we review empirical studies employing instrumental variables, regression discontinuity designs, difference in differences and propensity score matching to the above databases. Additionally, we provide a detailed summary of estimation strategies, issues treated and profitability in terms of the quality of publications to encourage further potential evaluations. The paper concludes with some operational recommendations for prospective researchers in the field.     

A mixed-mode sensitive research on cannabis use and sexual addiction: improving self-reporting by means of indirect questioning techniques

In this article, we describe the methods employed and the results obtained from a mixed-mode “sensitive research” conducted in Spain to estimate certain aspects concerning patterns of cannabis consumption and sexual addiction among university students. Three different data-collection methods are considered and compared: direct questioning, randomized response technique and item sum technique. It is shown that posing direct questions to obtain sensitive data produces significantly lower estimates of the surveyed characteristics than do indirect questioning methods. From the analysis, it emerges that male students seem to be more affected by sex addiction than female students while for cannabis consumption there is no evidence of a predominant gender effect.