Unions and Income Inequality: A Heterogeneous Panel Co‐integration and Causality Analysis

Although a large body of research has examined the effects of unions on the wage distribution, surprisingly little attention has been devoted to the effects of unions on the distribution of income. This paper examines the long‐run relationship between unionization and income inequality for a sample of 20 countries. Using heterogeneous panel co‐integration and causality techniques, we find that (i) unions have, on average, a negative long‐run effect on income inequality, (ii) there is considerable heterogeneity in the effects of unionization on income inequality across countries (in 40 per cent of the cases the effect is positive) and (iii) long‐run causality runs in both directions, suggesting that, on average, an increase in unionization reduces income inequality and that, in turn, higher inequality leads to lower unionization rates.     

POVERTY AND THE POLITICAL ECONOMY OF PUBLIC EDUCATION SPENDING: EVIDENCE FROM BRAZIL

A large body of literature has emphasized the elite capture of democratic institutions as the explanation for the low levels of spending on public education in many low‐income democracies. This paper provides an alternative to that longstanding hypothesis. Motivated by new cross‐country facts and evidence from Brazilian municipalities, we hypothesize that many democratic developing countries might invest less in public education spending because poor decisive voters prefer the government to allocate resources elsewhere. One possible explanation is that low‐income voters could instead favor redistributive programs that increase their incomes in the short run, such as cash transfers. To test for this possibility, we design and implement an experimental survey and an incentivized choice experiment in Brazil. The findings from both interventions support our hypothesis.     

INTERTEMPORAL CHOICE AND CONSUMPTION MOBILITY

The theory of intertemporal consumption choice makes sharp predictions about the evolution of the entire distribution of household consumption, not just about its conditional mean. In the paper, we study the empirical transition matrix of consumption using a panel drawn from the Bank of Italy Survey of Household Income and Wealth. We estimate the parameters that minimize the distance between the empirical and the theoretical transition matrix of the consumption distribution. The transition matrix generated by our estimates matches remarkably well the empirical matrix, both in the aggregate and in samples stratified by education. Our estimates strongly reject the consumption insurance model and suggest that households smooth income shocks to a lesser extent than implied by the permanent income hypothesis. (JEL: D52, D91, I30)     

Does Formal Education for Older Workers Increase Earnings? — Evidence Based on Rich Data and Long‐term Follow‐up

Governments in Europe, Canada and the USA have expressed an ambition to stimulate education of older. In this paper, we analyse if there are effects on annual earnings of formal education for participants aged 42–55 at the time of enrolment in 1994–95. The analysis explores longitudinal population register data stretching from 1982 to 2007. The method used is difference‐in‐differences propensity score matching based on a rich set of covariates, including indicators of health and labor market marginalization. Our findings underline the importance of long follow up periods and imply positive effects for women, especially so for women with children, and no significant average earnings effects for men. These results differ from earlier studies but are stable to several alternative assumptions regarding unobservable characteristics. Data further indicate that the gender gap in our estimates may stem from differences in underlying reasons for enrolment.     

Strategic assessment—A rational response to university cutbacks

Effective strategic assessment and planning is required if public higher education is to cope with the problems of the next two decades. This article suggests an approach that can be easily adapted to most public post-secondary institutions, based on a strategic plan devised to combat decline in enrolment and fiscal reduction in a State educational institution.     

Risk‐Cost‐Benefit Analysis for Transportation Corridors with Interval Uncertainties of Heterogeneous Data

Access management, which systematically limits opportunities for egress and ingress of vehicles to highway lanes, is critical to protect trillions of dollars of current investment in transportation. This article addresses allocating resources for access management with incomplete and partially relevant data on crash rates, travel speeds, and other factors. While access management can be effective to avoid crashes, reduce travel times, and increase route capacities, the literature suggests a need for performance metrics to guide investments in resource allocation across large corridor networks and several time horizons. In this article, we describe a quantitative decision model to support an access management program via risk‐cost‐benefit analysis under data uncertainties from diverse sources of data and expertise. The approach quantifies potential benefits, including safety improvement and travel time savings, and costs of access management through functional relationships of input parameters including crash rates, corridor access point densities, and traffic volumes. Parameter uncertainties, which vary across locales and experts, are addressed via numerical interval analyses. This approach is demonstrated at several geographic scales across 7,000 kilometers of highways in a geographic region and several subregions. The demonstration prioritizes route segments that would benefit from risk management, including (i) additional data or elicitation, (ii) right‐of‐way purchases, (iii) restriction or closing of access points, (iv) new alignments, (v) developer proffers, and (vi) etc. The approach ought to be of wide interest to analysts, planners, policymakers, and stakeholders who rely on heterogeneous data and expertise for risk management.     

教育资源信息化的非市场价值及其测评方法研究

教育资源信息化的产出价值为非市场价值,缺乏方法对其进行货币化计量.在对信息化的教育资源公共产品特性分析的基础上,结合相关项目和传统流程的替代关系,建立测评用户支付意愿的一般模型,首次提出教育资源信息化的非市场价值测评方法和实际操作流程.最后,应用测评模型和流程对高校图书馆电子资源支付意愿进行实际测评,验证测评方法的有效性.     

Challenges facing women leaders in Saudi Arabia

As a result of increasing enrolment of women in all levels of education and various fields of employment and aspects of public life in Saudi Arabia, the last 10 years witnessed a growing participation of women in senior management positions and in the decision-making process in public and private sectors. Recent developments indicate a clear strategic direction of policy makers and development plans in Saudi Arabia towards an even greater role for women in public life and into top leadership positions in public domains. In spite of the considerable role of women in Saudi society, evidence suggests that women in leadership positions are facing a different reality from their male counterparts due to organizational, personal and cultural challenges that impede their effectiveness as leaders. Through a survey of 160 women leaders, this article attempts to identify the challenges that women leaders face in government sectors in Saudi Arabia. Findings indicate that the main challenges are: structural challenges, lack of resources and lack of empowerment, while cultural and personal challenges ranked last, contrary to common perception. The study ultimately provides a set of recommendations with implications for leadership development in general, in order to address challenges that women leaders face and enhance their leadership role.     

教育不平等与收入分配差距:中国的实证分析

本文基于内生增长理论,构建联立方程组模型,采用教育基尼系数衡量教育不平等,研究教育不平等与收入分配的作用机理及方向。研究发现:(1)收入分配差距导致教育不平等,教育不平等的改进却没能促进收入分配差距的改善,教育不平等与收入分配差距并非简单线性关系,但教育扩展有利于教育和收入不平等的改善;(2)教育通过人力资本传导机制与收入分配之间发生联系,但其不会自发形成"教育平等←→收入平等"的良性循环;(3)长期内教育不平等的降低并没有改善收入不平等,但收入不平等在当期就能加剧教育不平等程度;(4)目前教育投入的水平、城市化进程并没能有效的改进教育不平等。另外,模型的稳健性得到部分证实。     

Inferring Labor Income Risk and Partial Insurance From Economic Choices

This paper uses the information contained in the joint dynamics of individuals' labor earnings and consumption‐choice decisions to quantify both the amount of income risk that individuals face and the extent to which they have access to informal insurance against this risk. We accomplish this task by using indirect inference to estimate a structural consumption–savings model, in which individuals both learn about the nature of their income process and partly insure shocks via informal mechanisms. In this framework, we estimate (i) the degree of partial insurance, (ii) the extent of systematic differences in income growth rates, (iii) the precision with which individuals know their own income growth rates when they begin their working lives, (iv) the persistence of typical labor income shocks, (v) the tightness of borrowing constraints, and (vi) the amount of measurement error in the data. In implementing indirect inference, we find that an auxiliary model that approximates the true structural equations of the model (which are not estimable) works very well, with negligible small sample bias. The main substantive findings are that income shocks are moderately persistent, systematic differences in income growth rates are large, individuals have substantial amounts of information about their income growth rates, and about one‐half of income shocks are smoothed via partial insurance. Putting these findings together, the amount of uninsurable lifetime income risk that individuals perceive is substantially smaller than what is typically assumed in calibrated macroeconomic models with incomplete markets.     

Efficiency in the generation of social welfare in Mexico: A proposal in the presence of bad outputs

One of the main goals of any country is to secure the general welfare of society, entailing positive levels of education, health and income, coupled with low levels of social inequality. The following paper studies the efficient use of economic and social resources to generate social welfare in the presence of bad outputs in the states of Mexico during 2010. A two-level data envelopment analysis model was used to determine how efficient the 32 states of the Mexican Republic were, considering as model variables the socioeconomic indicators of the three dimensions of human development (education, health and income), and the data on poverty or inequity in the country. The analysis of the results reveals that only 5 of the 32 units studied were efficient in generating welfare and in reducing poverty, while the rest need to increase their welfare levels and especially reduce inequity in education and income using the economic and social resources they possess.     

Employment Decisions of Married Women: Evidence and Explanations

Aggregate evidence has revealed a significant increase in women’s labour market participation (especially among married women) and a decline in male participation, both in Italy and in all the other OECD countries. This paper empirically tests the relationship between the education and employment status of husbands and wives using the Bank of Italy Survey (1995). The results of our analysis show that employed women are likely to be married to employed men with a higher level of education and higher income. The estimates of the labour supply decisions of wives show that the effect of the unemployment status of husbands is mediated by other factors associated with the family’s view of wives working outside home. The response to a husband’s unemployment depends significantly on the employment decisions of parents (mothers and mothers‐in‐law), a proxy for the couple’s attitude towards women’s work.     

Nonparametric Tree‐Based Predictive Modeling of Storm Outages on an Electric Distribution Network

This article compares two nonparametric tree‐based models, quantile regression forests (QRF) and Bayesian additive regression trees (BART), for predicting storm outages on an electric distribution network in Connecticut, USA. We evaluated point estimates and prediction intervals of outage predictions for both models using high‐resolution weather, infrastructure, and land use data for 89 storm events (including hurricanes, blizzards, and thunderstorms). We found that spatially BART predicted more accurate point estimates than QRF. However, QRF produced better prediction intervals for high spatial resolutions (2‐km grid cells and towns), while BART predictions aggregated to coarser resolutions (divisions and service territory) more effectively. We also found that the predictive accuracy was dependent on the season (e.g., tree‐leaf condition, storm characteristics), and that the predictions were most accurate for winter storms. Given the merits of each individual model, we suggest that BART and QRF be implemented together to show the complete picture of a storm's potential impact on the electric distribution network, which would allow for a utility to make better decisions about allocating prestorm resources.     

The Determinants of Child Labour: The Role of Primary Product Specialization

Abstract. The paper tests predictions of a traditional intra‐household bargaining model which, under reasonable assumptions, shows that lack of bargaining power in the value chain significantly reduces the capacity for obtaining benefits from increased product demand arising from trade liberalization and therefore is positively associated with child labour. Cross‐sectional and panel negative binomial estimates in a sample of emerging countries support this hypothesis. They show that proxies of domestic workers’ bargaining power in the international division of labour (such as the share of primary product exports) are significantly related to child labour, net of the effect of traditional controls such as parental income, quality of education, international aid, and trade liberalization. The positive impact of the share of primary product exports on child labour outlines a potential paradox. The paradox suggests that trade liberalization does not always have straightforward positive effects on social indicators and that its short‐run effects on income distribution and distribution of skills and market power across countries need to be carefully evaluated.     

From Resource Base to Dynamic Capabilities: an Investigation of New Firms

Despite the numerous observations that dynamic capabilities lie at the source of competitive advantage, we still have limited knowledge as to how access to firm-based resources and changes to these affect the development of dynamic capabilities. In this paper, we examine founder human capital, access to employee human capital, access to technological expertise, access to other specific expertise, and access to two types of tangible resources in a sample of new firms in Sweden. We empirically measure four dynamic capabilities and find that the nature and effect of resources employed in the development of these capabilities vary greatly. For the most part, there are positive effects stemming from access to particular resources. However, for some resources, such as access to employee human capital and access to financial capital, unexpected negative effects also appear. This study therefore provides statistical evidence as to the varying role of resources in capability development. Importantly, we also find that changes in resource bases have more influential roles in the development of dynamic capabilities than the resource stock variables that were measured at an earlier stage of firm development. This provides empirical support for the notion of treating the firm as a dynamic flow of resources as opposed to a static stock. This finding also highlights the importance of longitudinal designs in studies of dynamic capability development. Further recommendations for future empirical studies of dynamic capabilities are presented.     

Information Technology and Process Performance: An Empirical Investigation of the Interaction Between IT and Non‐IT Resources*

Drawing on the resource‐based view, we propose a configurational perspective of how information technology (IT) assets and capabilities affect firm performance. Our premise is that IT assets and IT managerial capabilities are components in organizational design, and as such, their impact can only be understood by taking into consideration the interactions between those IT assets and capabilities and other non‐IT components. We develop and test a model that assesses the impact of explicit and tacit IT resources by examining their interactions with two non‐IT resources (open communication and business work practices). Our analysis of data collected from a sample of firms in the third‐party logistics industry supports the proposed configurational perspective, showing that IT resources can either enhance (complement) or suppress (by substituting for) the effects of non‐IT resources on process performance. More specifically, we find evidence of complementarities between shared business–IT knowledge and business work practice and between the scope of IT applications and an open communication culture in affecting the performance of the customer‐service process; but there is evidence of substitutability between shared knowledge and open communications. For decision making, our results reinforce the need to account for all dimensions of possible interaction between IT and non‐IT resources when evaluating IT investments.     

PARENTAL INCOME,LIFETIME INCOME,AND MORTALITY

This article studies the relation between parental economic resources and mortality later in life. We use a data set on a cohort of individuals born in 1928 in the county of Malmö in southern Sweden, which contains exceptionally detailed measures of parental household income from five years during the individuals' childhood between 1929 and 1942. The data also contain very rich information on individual earnings throughout these individuals' entire life cycle that allows us to construct a measure of lifetime earnings. Date and cause of death are obtained from national registers. Using Cox proportional hazard models, we find an inverse relationship between parental income and mortality, also when controlling for individual lifetime income and when studying those with high education separately. A competing risk analysis shows the relation between parental income and mortality to apply to cancer as the cause of death. (JEL: D31, I10, I12, J10)     

Unemployment Determinants for Women in Spain

Spain has one of the highest rates of unemployment among OECD countries. Some explanations for this stress the importance of unemployment duration compared with entry rates to the unemployment pool. Long‐term unemployment rates are particularly high among women in Spain. The object of this paper is to investigate the determinants of unemployment duration among women. It will consider personal characteristics (education and age), family background, socio‐economic variables (the number of household earners and household income) and the effect of unemployment benefits, using data from the Household Expenditure Survey 1990–91.     

What Happens in the Field Stays in the Field: Exploring Whether Professionals Play Minimax in Laboratory Experiments

The minimax argument represents game theory in its most elegant form: simple but with stark predictions. Although some of these predictions have been met with reasonable success in the field, experimental data have generally not provided results close to the theoretical predictions. In a striking study, Palacios‐Huerta and Volij ( 2008 ) presented evidence that potentially resolves this puzzle: both amateur and professional soccer players play nearly exact minimax strategies in laboratory experiments. In this paper, we establish important bounds on these results by examining the behavior of four distinct subject pools: college students, bridge professionals, world‐class poker players, who have vast experience with high‐stakes randomization in card games, and American professional soccer players. In contrast to Palacios‐Huerta and Volij's results, we find little evidence that real‐world experience transfers to the lab in these games—indeed, similar to previous experimental results, all four subject pools provide choices that are generally not close to minimax predictions. We use two additional pieces of evidence to explore why professionals do not perform well in the lab: (i) complementary experimental treatments that pit professionals against preprogrammed computers and (ii) post‐experiment questionnaires. The most likely explanation is that these professionals are unable to transfer their skills at randomization from the familiar context of the field to the unfamiliar context of the lab.     

Sollten den Betreuern wissenschaftlichen Nachwuchses Anreize gesetzt werden?

In many European countries efforts are undertaken to improve doctoral education. With the organization of PhD programs at US research universities very often serving as the model, the new public governance of higher education has strong ideas concerning the most promising paths to improvement: less state, less academic self-governance, greater reliance on quasi-markets, a stronger internal hierarchy, and more influence by external stakeholders. Based on an explorative analysis of qualitative and quantitative data of 26 continental European, English and US economics departments, we investigate the steering impact of these five governance dimensions for the years 2001–2002 on subsequent academic placement success of PhD graduates. To control for the importance of resource levels, we take into account: financial resources, the publication record of faculty members, the total number of professors, and the annual average number of PhD graduates in a department. Based on a fuzzy-set QCA of our data, our results deliver strong support for a variety of locally best governance configurations with no evidence for a single optimal system. Introducing market elements appears to be necessary for success with any governance system. The level of financial resources is the only one of our control conditions that contributes to our understanding of the placement success of PhD programs and the steering of PhD education.