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Carmelo García-Pérez
University of Alcalá, Madrid, (Spain)

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Research article
Published: 25 May 2021 in Applied Economics
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This work analyses the deprivation levels of people living homeless in Spain and France before and during the Great Recession. The study uses a multidimensional perspective considering economic, social, and health aspects. To accomplish this, we obtain several indicators using the counting approach methodology and stochastic dominance techniques with statistical inference. Finally, the main factors that influence the probability of being multidimensionally deprived are analysed. The results of the study show that, although health and social dimensions have a particular relevance, indicators related to social assistance and housing instability have a greater influence on their situation. These results are intended to contribute better knowledge of an understudied group and to guide the design of future public policies.

ACS Style

Adrián Cabrera; Carmelo García-Pérez. Deprivation levels among people living homeless: a comparative study of Spain and France. Applied Economics 2021, 1 -16.

AMA Style

Adrián Cabrera, Carmelo García-Pérez. Deprivation levels among people living homeless: a comparative study of Spain and France. Applied Economics. 2021; ():1-16.

Chicago/Turabian Style

Adrián Cabrera; Carmelo García-Pérez. 2021. "Deprivation levels among people living homeless: a comparative study of Spain and France." Applied Economics , no. : 1-16.

Journal article
Published: 15 July 2020 in Economic Systems
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Economic insecurity is a key well-being outcome because the anticipation of future economic distress reveals itself as a true threat to current well-being. Insecurity has been shown to affect quality of life and to change an individual’s consumption, fertility, labor supply and even political support decisions to mitigate risk. This paper provides evidence on the dimension, nature and distribution of economic insecurity for 27 European countries during a whole decade by using a multidimensional individual approach that considers both objective and subjective indicators. The young, the less educated and the unemployed living in households with dependent children have significantly higher levels of economic insecurity everywhere. However, insecurity affects the population in the middle class only in some countries but not in others, and the level of insecurity in liberal regimes is more linked to large income losses than elsewhere. The role of objective versus subjective dimensions is larger in post-transition Eastern European regimes than in long-standing capitalist countries.

ACS Style

Olga Cantó; Carmelo García-Pérez; Marina Romaguera-De-La-Cruz. The dimension, nature and distribution of economic insecurity in European countries: A multidimensional approach. Economic Systems 2020, 44, 100807 .

AMA Style

Olga Cantó, Carmelo García-Pérez, Marina Romaguera-De-La-Cruz. The dimension, nature and distribution of economic insecurity in European countries: A multidimensional approach. Economic Systems. 2020; 44 (3):100807.

Chicago/Turabian Style

Olga Cantó; Carmelo García-Pérez; Marina Romaguera-De-La-Cruz. 2020. "The dimension, nature and distribution of economic insecurity in European countries: A multidimensional approach." Economic Systems 44, no. 3: 100807.

Journal article
Published: 25 February 2020 in Sustainability
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In this paper, we analyze, in a novel way, the nature of economic growth in Spain after the Great Recession, in relation to its effect on poverty reduction. We use a statistical test to analyze the pro-poorness nature of economic growth using a stochastic dominance approach, not used in this context so far. We decompose changes in the difference in generalized Lorenz ordinates into a growth effect and an inequality effect and apply this to formal Spanish income data statistical tests based on dominance methods. We found that growth was pro-poor in Spain as a whole between 2013 and 2017. As regards regional growth effects, we conclude that growth was weakly pro-poor in seven of Spain’s 17 regions, it was neither pro-poor nor anti-poor in nine regions, and only weakly anti-poor in one region.

ACS Style

Ismael Ahamdanech; Carmelo García-Pérez; Mercedes Prieto-Alaiz. A Stochastic Dominance Approach to Evaluating Pro-Poor Growth—An Application to the Spanish Case. Sustainability 2020, 12, 1728 .

AMA Style

Ismael Ahamdanech, Carmelo García-Pérez, Mercedes Prieto-Alaiz. A Stochastic Dominance Approach to Evaluating Pro-Poor Growth—An Application to the Spanish Case. Sustainability. 2020; 12 (5):1728.

Chicago/Turabian Style

Ismael Ahamdanech; Carmelo García-Pérez; Mercedes Prieto-Alaiz. 2020. "A Stochastic Dominance Approach to Evaluating Pro-Poor Growth—An Application to the Spanish Case." Sustainability 12, no. 5: 1728.

Journal article
Published: 25 November 2019 in Economic Modelling
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Income distribution remains a crucial topic in economic analysis, among other reasons, due to the increase in inequality in recent years, as one of the effects of the Great Recession. In this context, proposing parametric models that represent the full distribution through a small number of parameters arouses great interest as an instrument for economic analysis. This paper studies the ability of log Student’s t distribution to model the size distribution of income due to its potential to reproduce the effect of a mode around low-incomes as well as its precision in capturing the degree of kurtosis of empirical distributions. These characteristics make the log-t an ideal analysis tool, for instance, for exploring the effects of anti-poverty policies. The model has been fitted to income data for the EU25 and for several years. The conclusion is that the log Student’s t distribution offers the best fit in the vast majority of cases.

ACS Style

Francisco Javier Callealta Barroso; Carmelo García-Pérez; Mercedes Prieto-Alaiz. Modelling income distribution using the log Student’s t distribution: New evidence for European Union countries. Economic Modelling 2019, 89, 512 -522.

AMA Style

Francisco Javier Callealta Barroso, Carmelo García-Pérez, Mercedes Prieto-Alaiz. Modelling income distribution using the log Student’s t distribution: New evidence for European Union countries. Economic Modelling. 2019; 89 ():512-522.

Chicago/Turabian Style

Francisco Javier Callealta Barroso; Carmelo García-Pérez; Mercedes Prieto-Alaiz. 2019. "Modelling income distribution using the log Student’s t distribution: New evidence for European Union countries." Economic Modelling 89, no. : 512-522.

Journal article
Published: 31 October 2019 in Journal of Business Research
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This article examines the evolution of employment precariousness in Spain based on a new method of constructing multidimensional precarious measures. This methodology resembles the one proposed by Alkire and Foster (2007, 2011) for multidimensional poverty in the framework of the counting approach. The main novelty of the approach adopted resides in the use of hedonic weights derived from the subjective evaluation by employees for the selection of the different dimensions of jobs that make up multidimensional precariousness and the quantification of their relative influence. The evidence obtained reveals that the precariousness of employment created in Spain has intensified significantly in recent years and that the strong temporary nature of employment is the most salient component of this precariousness from a multidimensional perspective.

ACS Style

Carmelo García-Pérez; Mercedes Prieto-Alaiz; Hipólito Simón. Multidimensional measurement of precarious employment using hedonic weights: Evidence from Spain. Journal of Business Research 2019, 113, 348 -359.

AMA Style

Carmelo García-Pérez, Mercedes Prieto-Alaiz, Hipólito Simón. Multidimensional measurement of precarious employment using hedonic weights: Evidence from Spain. Journal of Business Research. 2019; 113 ():348-359.

Chicago/Turabian Style

Carmelo García-Pérez; Mercedes Prieto-Alaiz; Hipólito Simón. 2019. "Multidimensional measurement of precarious employment using hedonic weights: Evidence from Spain." Journal of Business Research 113, no. : 348-359.

Research article
Published: 22 October 2019 in Psychology & Marketing
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This study investigates the importance of General Intelligence (GI) and Emotional Intelligence (EI) to leadership skills among a sample of managers. It presents a methodology based on constructing two synthetic indicators that aggregate and measure the different components of EI and GI. The relationship between the two indicators and a one‐dimensional indicator that measures leadership capacity is then studied. This methodology is applied to data taken from questionnaires sent to hierarchical superiors in a leading international company in the distribution sector. The results of the study conducted on a sample of managers show that the intensity and direction of the effect of GI and EI on leadership capacity are similar, positive and significant in both cases.

ACS Style

Rafael Castaño Sánchez; Carmelo García Pérez; Alba Yela Aránega. General intelligence and emotional intelligence in senior management in the distribution sector: An applied analysis with synthetic indicators. Psychology & Marketing 2019, 37, 6 -14.

AMA Style

Rafael Castaño Sánchez, Carmelo García Pérez, Alba Yela Aránega. General intelligence and emotional intelligence in senior management in the distribution sector: An applied analysis with synthetic indicators. Psychology & Marketing. 2019; 37 (1):6-14.

Chicago/Turabian Style

Rafael Castaño Sánchez; Carmelo García Pérez; Alba Yela Aránega. 2019. "General intelligence and emotional intelligence in senior management in the distribution sector: An applied analysis with synthetic indicators." Psychology & Marketing 37, no. 1: 6-14.

Journal article
Published: 05 August 2019 in Social Responsibility Journal
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PurposeThe purpose of this paper is to analyse, from an empirical point of view, the importance of each of the main sources of funding in developing countries (foreign direct investment, official development assistance, external debt and remittances) in achieving sustainable, social and inclusive development.Design/methodology/approachThe methodology followed to achieve this purpose is the construction of three econometric models. The general model incorporates as a dependent variable the Human Development Index (HDI) and, as explanatory variables, the four sources of funding indicated above, as well as three exogenous variables (human capital, corruption and natural resources). This model is complemented by two extensions that aim to analyse the behaviour of explanatory variables in reducing inequalities and improving each of the HDI components.FindingsThe results of the estimations of the econometric models show that foreign direct investment and remittances are the sources of funding with the greatest impact on achieving development. Moreover, official development assistance while not making a positive contribution to the achievement of development as a whole, could be adequate to reduce inequalities.Originality/valueThe added value of this paper consists in carrying out a joint analysis of these four sources of funding because previous researches focussed the attention on some of them, drawing partial conclusions. The conclusion of this study is that the four sources of funding analysed can be considered complementary to promote sustainable and inclusive development, although foreign direct investment has a much more important role.

ACS Style

María Vidales; Carmelo García-Pérez. Financing sources and social development: an empirical analysis. Social Responsibility Journal 2019, 15, 640 -657.

AMA Style

María Vidales, Carmelo García-Pérez. Financing sources and social development: an empirical analysis. Social Responsibility Journal. 2019; 15 (5):640-657.

Chicago/Turabian Style

María Vidales; Carmelo García-Pérez. 2019. "Financing sources and social development: an empirical analysis." Social Responsibility Journal 15, no. 5: 640-657.

Article
Published: 14 September 2016 in Social Indicators Research
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This article proposes a new methodology to measure precarious employment with a multidimensional approach. The adjusted multidimensional precariousness rate employed to measure job precariousness is calculated on a counting approach and exhibit several advantages, including its decomposability according to the relative contribution to total precariousness of different dimensions and sub-populations. For illustrative purposes, the methodology is applied to the Spanish case using microdata from the Encuesta de Estructura Salarial (Wage Structure Survey) and considering three precariousness dimensions of jobs (low wages, fixed-term contracts and part-time work). The evidence obtained shows that at the beginning of the economic crisis there was an increase in the incidence and intensity of precariousness for new jobs created in the Spanish economy. Moreover, obtained evidence shows that the incidence of precarious employment is particularly high in certain economic sectors and for females.

ACS Style

Carmelo García-Pérez; Mercedes Prieto-Alaiz; Hipólito Simón. A New Multidimensional Approach to Measuring Precarious Employment. Social Indicators Research 2016, 134, 437 -454.

AMA Style

Carmelo García-Pérez, Mercedes Prieto-Alaiz, Hipólito Simón. A New Multidimensional Approach to Measuring Precarious Employment. Social Indicators Research. 2016; 134 (2):437-454.

Chicago/Turabian Style

Carmelo García-Pérez; Mercedes Prieto-Alaiz; Hipólito Simón. 2016. "A New Multidimensional Approach to Measuring Precarious Employment." Social Indicators Research 134, no. 2: 437-454.

Journal article
Published: 30 January 2016 in Social Indicators Research
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In order to contribute to providing a methodology to ensure objectivity and transparency in the measurement of multidimensional poverty, this paper proposes a new threshold for the identification of the multidimensional poor which is also applicable to each of the dimensions of poverty, suitable for identifying the severely poor in developed countries. This new methodology is applied to analyse the evolution of material deprivation in Spain during the period of economic crisis, comparing the results with those obtained using other traditional approaches.

ACS Style

Carmelo García-Pérez; Yolanda González-González; Mercedes Prieto-Alaiz. Identifying the Multidimensional Poor in Developed Countries Using Relative Thresholds: An Application to Spanish Data. Social Indicators Research 2016, 131, 291 -303.

AMA Style

Carmelo García-Pérez, Yolanda González-González, Mercedes Prieto-Alaiz. Identifying the Multidimensional Poor in Developed Countries Using Relative Thresholds: An Application to Spanish Data. Social Indicators Research. 2016; 131 (1):291-303.

Chicago/Turabian Style

Carmelo García-Pérez; Yolanda González-González; Mercedes Prieto-Alaiz. 2016. "Identifying the Multidimensional Poor in Developed Countries Using Relative Thresholds: An Application to Spanish Data." Social Indicators Research 131, no. 1: 291-303.

Original articles
Published: 24 April 2013 in Applied Economics
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This article examines the influence of macroeconomic factors on personal income distribution in developing countries using a parametric modelling approach. The technique is based on the selection and estimation of a theoretical parametric model (a Dagum distribution) which fits accurately to the empirical income distributions of the countries examined. The parameters of the model specifically related to inequality are subsequently used as dependent variables in econometric models in order to examine the impact that certain macroeconomic variables (GDP growth, inflation, employment and real interest rates) have on inequality. The results reveal that GDP growth, employment rate and real interest rate are the macroeconomic factors with greater impact in shaping personal income distribution in developing countries.

ACS Style

C. Garcia; Mercedes Prieto-Alaiz; H. Simon. The influence of macroeconomic factors on personal income distribution in developing countries: a parametric modelling approach. Applied Economics 2013, 45, 4323 -4334.

AMA Style

C. Garcia, Mercedes Prieto-Alaiz, H. Simon. The influence of macroeconomic factors on personal income distribution in developing countries: a parametric modelling approach. Applied Economics. 2013; 45 (30):4323-4334.

Chicago/Turabian Style

C. Garcia; Mercedes Prieto-Alaiz; H. Simon. 2013. "The influence of macroeconomic factors on personal income distribution in developing countries: a parametric modelling approach." Applied Economics 45, no. 30: 4323-4334.