A Composite Indicator for University Quality Assesment: The Case of Spanish Higher Education System

This study presents a synthetic indicator for quality assessment in the Spanish public university system. The indicator is based on a series of components and simple indicators that were obtained from the public universities’ financial planning estimates. The paper takes a quantitative, wide-ranging approach to analyse the quality of university institutions and is intended to be complimentary to other qualitative approaches. Data Envelopment Analysis was used in order to facilitate the aggregation and weighting of the data used to construct the synthetic indicator. This technique allows the analyst to endogenously determine the weighting of the partial indicators while respecting the peculiarities intrinsic to each university. The results reveal that there are significant differences among Spanish public universities. In addition to how relatively well each of the institutions performs, other factors would seem to be influencing the results; essentially these are related to socio-economic factors and to the application of university policy in Spain over recent decades.

A New Multidimensional Approach to Measuring Precarious Employment

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.     

Educational Mismatch of Graduates: a Multidimensional and Fuzzy Indicator

In this paper we attempt to measure the educational mismatch, seen as a problem of overeducation, using a multidimensional and fuzzy methodology. Educational mismatch can be difficult to measure because many factors can converge to its definition and the traditional unidimensional indicators presented in literature can offer a restricted view of the problem. We discovered two dimensions that properly define overeducation. The first includes information regarding job satisfaction, the use of expertise and the coherence between study and work, but also the measure on which the traditional indicator is based and the second concern earning aspects. We then calculate a degree of membership to the set of overeducated workers using the defined dimensions. We believe that in this manner we can partially overcome the rigidity of the traditional measures. Our findings suggested that generally women have a degree of mismatch higher than men and the graduates in Pharmacy, Medicine and Engineering are the least overeducated in terms of the first dimension, even if in terms of the earnings dimension they have similar mismatches to the other fields of education. Self-employment and collaboration contracts reduce overeducation when the first dimension is considered; on the other hand, when the second dimension is taken into account graduates with collaboration contracts are the most mismatched out of those having a job. Additionally, university reform introduced in the academic year 2001–2002 in the Italian higher education system is shown as not contributing to a reduction of the overeducation phenomenon.     

Income and Beyond: Multidimensional Poverty in Six Latin American Countries

This paper studies multidimensional poverty for Argentina, Brazil, Chile, El Salvador, Mexico and Uruguay for the period 1992–2006. The approach overcomes the limitations of the two traditional methods of poverty analysis in Latin America (income-based and unmet basic needs) by combining income with five other dimensions: school attendance for children, education of the household head, sanitation, water and shelter. The results allow a fuller understanding of the evolution of poverty in the selected countries. Over the study period, El Salvador, Brazil, Mexico and Chile experienced significant reductions in multidimensional poverty. In contrast, in urban Uruguay there was a small reduction in multidimensional poverty, while in urban Argentina the estimates did not change significantly. El Salvador, Brazil and Mexico, and rural areas of Chile display significantly higher and more simultaneous deprivations than urban areas of Argentina, Chile and Uruguay. In all countries, deprivation in access to proper sanitation and education of the household head are the highest contributors to overall multidimensional poverty.     

高等教育结构与产业结构、就业结构的关系

基于经济增长的内生化视角,围绕高等教育结构、就业结构、产业结构三者的辩证关系,基于MRW模型验证"三结构"之间逻辑关系,并运用面板数据回归和门限值回归的方法,检验"三结构"之间实际相互关系.研究发现,在经济增长的不同阶段三者表现出不同的传导关系,即在经济增长的低级阶段,以产业结构调整的"拉动"为主,到经济增长的高级阶段以高等教育结构调整的"推动"为主.高等教育结构对产业结构和就业结构影响的实证结果表明,高等教育结构对于第一产业结构和就业结构比例的下降有促进作用,与第二产业和第三产业结构的调整呈弱负相关.如果高等教育结构充分发挥对以第三产业为主导的产业结构的作用,则高等教育需要从大众化向普及化阶段过渡.对传导机制的测算结果显示,2001-2013年产业结构到高等教育结构的传导时滞为8年,从高等教育结构到产业结构的时滞为6年.     

A Multidimensional Approach to Precarious Employment Among Young Workers in EU-28 Countries

This article uses a new multidimensional indicator to measure precariousness among young workers across all EU-28 countries. This indicator measures both the incidence and intensity of precariousness. The analysis has involved five dimensions: wages, type of contract, type of working day, disempowerment, and job insecurity. Our database is the European Union Labour Force Survey for the period 2009–2016. The main indication of precariousness is low wages. We find high rates of precariousness for Mediterranean countries (because of low wages and temporary contracts), Denmark (low wages), and the Netherlands (expansion of involuntary part-time jobs). Central European countries have moderate rates, and most Continental and Eastern countries have low rates. We also find that a higher level of education is related to a lower probability of having a precarious job. Finally, we find a greater probability of having a precarious job among women in most countries, and non-statistically significant differences by country of birth.

     

多维劳动力市场分割、大学生就业流动与就业空间拓展

遵循多维劳动力市场分割逻辑,面对我国大学生就业流动现实,从政府体制创新、高校突出创业教育、社会助推创业、就业信息共享平台打造、多元机制提升就业整合力等方面拓展大学生就业空间.     

The Replacement Rate: An Imperfect Indicator of Pension Adequacy in Cross-Country Analyses

Pension systems are usually evaluated from the perspective of two basic criteria: pension adequacy and financial sustainability. The first criterion concerns the level of pension benefits and protection of the elderly from poverty. The second criterion applies to financial liquidity. This paper is primarily of methodological nature. We discuss the problem of measuring pension adequacy, focusing mainly on the replacement rate, which, defined in a number of ways, is the most common measure of pension adequacy. However, as we argue in this paper, it covers only one of its dimensions, namely consumption smoothing. Meanwhile, an equally important dimension, often discussed in the literature and included in most definitions of pension adequacy, is protection of old-age pensioners from poverty. Accordingly, we have proved the thesis that the replacement rate is not a sufficient measure of broadly understood pension adequacy in cross-country studies. Consequently, we have proposed alternative (or possibly complementary) measures called the synthetic pension adequacy indicators (SPAI1-3), defined in basic form as a quotient of relative median income and the at-risk-of-poverty rate. These indicators provide for both the above-mentioned dimensions of adequacy and, according to statistical analysis, also represent them very well. Moreover, the indicators, calculated separately for men and for women, enables evaluation of the third dimension of pension adequacy, namely gender-related differences in pension adequacy.     

A Multidimensional Approach to Measuring Quality of Employment (QoE) Deprivation in Six Central American Countries

This paper proposes a methodology for measuring Quality of Employment (QoE) deprivation from a multidimensional perspective in six Central American countries (Costa Rica, El Salvador, Guatemala, Honduras, Nicaragua, and Panama) using a dataset specifically designed to measure employment conditions. Building on previous work on multidimensional poverty and employment indicators, the paper uses the Alkire/Foster (AF) method to construct a synthetic indicator of the QoE at an individual level. It selects four dimensions that must be considered as essential to QoE deprivation: income, job stability, job security and employment conditions. These dimensions then subdivide into several indicators, a threshold for each indicator and dimension is established before defining an overall cut-off line that allows for the calculation of composite levels of deprivation. The results generated by this indicator show that Central American countries can be divided into three distinct and robust performance groups in terms of their QoE deprivation. Overall, approximately 60% of the deprivation levels are attributable to non-income variables, such as occupational status and job tenure. The methodology used can allow policymakers to identify and focus on the most vulnerable workers in a labour market and highlights the fact that having a formal written contract is no guarantee of good job quality, particularly in the case of women.

     

Multidimensional Life Table Estimation of the Total Fertility Rate and Its Components

Using discrete-time survival models of parity progression and illustrative data from the Philippines, this article develops a multivariate multidimensional life table of nuptiality and fertility, the dimensions of which are age, parity, and duration in parity. The measures calculated from this life table include total fertility rate (TRF), total marital fertility rate (TMFR), parity progression ratios (PPR), age-specific fertility rates, mean and median ages at first marriage, mean and median closed birth intervals, and mean and median ages at childbearing by child’s birth order and for all birth orders combined. These measures are referred to collectively as “TFR and its components.” Because the multidimensional life table is multivariate, all measures derived from it are also multivariate in the sense that they can be tabulated by categories or selected values of one socioeconomic variable while controlling for other socioeconomic variables. The methodology is applied to birth history data, in the form of actual birth histories from a fertility survey or reconstructed birth histories derived from a census or household survey. The methodology yields period estimates as well as cohort estimates of the aforementioned measures.     

From the Replacement Rate to the Synthetic Indicator: A Global and Gender Measure of Pension Adequacy in the European Union

To measure the adequacy of pension systems in the world, one of the most commonly used indicators is the Replacement Rate. Our work is based on the statement that this indicator is imperfect itself to measure adequacy because it does not collect the multiple dimensions that it involves while being a static measurement. Consequently and based on the data provided by “The 2015 Pension Adequacy Report: current and future income adequacy in old age in the European Union” of the European Commission, in this paper we select a set of variables that are considered representative to measure the adequacy of pension systems from a dynamic and multidimensional perspective, and based on them, a synthetic adequacy indicator is developed. This indicator aims to compare European pension systems from the adequacy objective and to carry out continuous monitoring of the effects that the reform processes may have on the adequacy of pensions. The analysis is completed with the calculation of a gender indicator on pension adequacy for the European Union (EU-28) which identifies the still existing gap between men and women.     

Child Well-being in Flanders: A Multidimensional Account

In this article we characterise the well-being of young children in the Belgian region of Flanders. We focus on three commonly used indicators: educational attainment, the existence of special needs and the occurrence of problematic behaviour. The former derives from a relatively impartial source, the schooling system, while the latter two originate from parental assessment. Somewhat surprisingly, the different measures are only weakly associated with each other. Moreover, negative outcomes tend to correlate with different characteristics of the child and the household, depending on the well-being indicator used. Only a low level of education of the mother and the fact the child is living in a single parent family is consistently associated with negative outcomes. This is not true, however, for a whole range of other characteristics, like the work schedule of the parents, the sex of the child, the child’s rank in the line of siblings or the number of children in the household. Consequently, policy makers should be wary of quick conclusions when presented with results from single indicator research. Educational lagging, for example, may seem a very objective measure of problems, yet it does not necessarily coincide with problematic behaviour nor a parental perception of special needs. Hence, political action is not self-evident and may require additional justification. For future research, a more thorough investigation about the links between the various indicators of child well-being seems indicated.

Corruption in Emerging Markets: A Multidimensional Study

Social Indicators Research - The role played by emerging markets in the global economy is well documented. However, these markets’ rapid economic development has not always been followed by...     

我国普通高等教育扩招情况及其对毕业生就业影响分析

本文通过介绍我国普通高等教育扩招的背景入手,分析了扩招后普通高等教育招生数与毕业生数的变化情况,预测了从现在到2023年我国普通高等教育招生数及毕业生数的变化态势,认为高校招生数及毕业生数在今后一二十年里都将处于较高水平,高校毕业生不得不面对就业压力与激烈竞争。结合劳动经济学理论模拟劳动力市场供给变化来说明高校毕业生失业的发生机制。最后得出扩招使高校毕业生失业现象加剧,但毕业生就业难不能归咎于扩招的结论。     

Conceptualizing and Measuring Financial Resilience: A Multidimensional Framework

Financial inclusion has become a policy priority. For many countries, this has meant focusing on the delivery and practical aspects of financial products and services. This paper argues that this approach is not sufficient to improve financial wellbeing more broadly. It suggests a more comprehensive approach moving away from asking whether people are excluded or not to asking whether they have access to accessible, acceptable and appropriate resources and supports in adverse financial circumstances. A better understanding of individuals’ financial resilience: how they bounce back from adverse financial events and the resources and supports they draw on; could help determine where resources can and should be invested to assist people to cope with financial adversity, assist the development of effective policy and, ultimately, improve financial wellbeing. This paper puts forward a definition of financial resilience and a methodology for measuring it. Australia is used as a case country from which to draw conclusions using a survey of 1496 representative adults (18+). The findings indicate that over 2 million Australian adults experienced severe or high levels of financial vulnerability raising very real concerns about financial wellbeing. Implications for academics and policy makers are presented.

     

Assessing Quality in Higher Education: Some Caveats

The technology of cognitive and non-cognitive skills formation is characterized by the cumulative nature of learning processes and by the presence of significant complementarities and irreversibilities in the acquisition of such skills. From this it follows that, in order to evaluate the quality of individual phases of skills formation, it is necessary to take account of the quality of the human capital entering the training process. It is evident that this aspect is more important, the more advanced the level of education. This paper evaluates the effects of the quality of Italian matriculants at 24 engineering faculties measured with the results of a standardized test on the regularity of university studies. The preliminary results confirm that failing to take account of the incoming quality of students may give rise to significant distortions in the evaluation of the academic productivity of universities. Meritocratic criteria in the allocation of public funds among schools and universities which do not take account of these considerations, in the absence of effective means to support the right to study (especially in the form of grants) would exacerbate the polarization of the educational systems and penalize the less mobile and more talented students. The same outcome can be generated by a misuse of university rankings based on unadjusted performance measures.     

A Multidimensional Dynamic Measure of Child Disadvantage: A Methodological Tool for Policymakers

This paper demonstrates the applicability of an innovative approach towards examining child disadvantage, using a holistic, dynamic measure that not only accounts for multiple sources of disadvantage but also for the recurrence and persistence of disadvantage throughout a child’s life. We analyse child disadvantage using two longitudinal surveys of the Australian child population, one of which is specific to Indigenous children, who experience notably higher rates of disadvantage. Among Australian children, we detect that poor body weight and bullying—representative of the broad dimensions of health and emotional wellbeing—should be of significant concern to policymakers. Among Indigenous children, housing conditions, schooling and exposure to risky behaviours stand out as areas of concern. By identifying the dimensions in which rates of child disadvantage are most severe, this methodological approach can help steer targeted policy actions.