Estimation of sons' intergenerational earnings mobility in the presence of censoring

Based on intergenerational data from the Panel Study of Income Dynamics, I provide estimates of income mobility across generations for men. Special attention is paid to issues of censoring caused by a son's unemployment. Employing non‐parametric bounds estimates, I illustrate that previous income mobility estimates rely heavily on (unjustified) assumptions of exogenous selection. Assuming a son's potential income is instead a function of his reason for unemployment and work history, I re‐estimate mobility. Allowing for sampling variability, the range of feasible slopes consistent with these modified bounds restrictions is 0.27 to 0.55. Copyright © 2002 John Wiley & Sons, Ltd.     

Social norms,coordination and collaboration in heterogeneous teams

This paper considers the coordinating role of social norms in a heterogeneous team of workers. We define an optimal unit of production as a form of organisation involving several teams and members, with the following properties: (i) a social norm operating to coordinate individual efforts; (ii) a team with heterogeneous skills, enabling generation of synergies. Our model suggests that competences of the best worker are transferred to his or her peers. This collaborative process enhances team efficiency but only if there is an implicit ex ante coordinating device based on social norms that discourage free riding. Copyright © 2008 John Wiley & Sons, Ltd.     

On the theory of macroeconomic policy

Summary Jan Tinbergen originated the theory of policy in the 1950s. Here I apply it to contemporary macroeconomics. The two standard instruments of short-run demand management cannot achieve the two usual targets, full employment and price stability. With respect to those goals, these two instruments are collinear, except for small and transient effects on foreign exchange rates. But the mix of fiscal and monetary policies, relative to one another, does have important effects on the composition of national output, as between investment and consumption.I point out that policy-makers, like portfolio managers, should diversify the instruments they use when they are uncertain of their effects. I discuss some pitfalls in the empirical estimation of policy effects, especially possible misinterpretations of simple correlations, and I note that policy rules cannot be invariant to changes in macroeconomic structure. I argue that policy rules should involve responses to new information and in practice allow discretion. Finally, I suggest that Tinbergen's theory of policy needs to be extended to policy coordination among nations.Third Tinbergen Lecture delivered on October 20, 1989, in Utrecht for the Royal Netherlands Economic Association.     

Creating Shopper Value: Co-Creation Roles,In-Store Self-Service Technology Use,and Value Differentiation

This study examines how retailers can use self-service technologies (SST) to increase shopper satisfaction. Using a survey of 188 consumers of a new self-service kiosk launch within a convenience-store (c-store) setting, we examine how such retailers might influence shopper's perceptions of value by better involving customers in the service delivery experience. Our proposed model links classic service operations and marketing design insights to the service-dominant logic perspective of service value co-creation. We find that shoppers perceive enhanced value creation from the new SST when they feel comfortable in their roles and the surrounding service design supports those roles.     

A quantitative and qualitative analysis of sexual harassment claims 1995–2005

This article explores the organisational and legal context in which parties involved in claims relating to sexual harassment operate, and presents an analysis of the population of sexual harassment cases heard by Employment Tribunals between 1995 and 2005.     

Bees in the medieval economy: religious observance and the production,trade, and consumption of wax in England,c. 1300–1555

The high and late middle ages saw a significant increase in demand for beeswax, a fundamental component of medieval Christian devotion, spurred by both changing socio‐economic conditions and shifts in religious practice. The vast quantities of wax needed for churches and religious foundations in England drove a thriving international trade spanning from the hinterland of Novgorod to the port of Lisbon, while at the same time encouraging widespread domestic beekeeping. This article considers the impact of supply‐side constraints and increasing demand on wax prices, calculating the cost and quantity of wax purchased by large foundations, parish churches, and individual offerings, to reveal the hitherto underexplored impact of religious consumption on the medieval economy.     

Personality traits,basic individual values and GMO risk perception of twitter users

Abstract

The present study investigates how the most foundational factors to individual differences – personality traits and personal values – affect the perceived safety of genetic modification and their relative importance. Publicly available communication data from 522 Twitter accounts discussing genetically modified foods and their safety was processed in two steps. First, accounts were categorized by the researchers as viewing GM foods as either safe or not safe. Second, using the IBM Watson platform, the Twitter communication data were subjected to lexical analysis to assign scores according to the Five Factor Model for personality traits and Schwartz’s basic individual values to the individual accounts. Logistic regression analyses were performed to determine how perceived GM food safety is linked to personality traits and individual values. Although both traits and values significantly contribute to explaining GM attitudes, personality traits strongly moderate the effect of individual values on risk perception.     

Consumer response to food labels in an emerging market: the case of Romania

This study investigates consumer response to food labels in an emerging market. More specifically, it measures the levels of awareness, objective and perceived understanding, perceived usefulness and perceived trustworthiness of the most prominent food labels found in the Romanian market. An online survey was conducted with a convenience sample of 428 respondents (45.6% males of an average age of 30.6 years). Results revealed that for most respondents, awareness levels towards food labels are generally low, except for the Guideline Daily Amount (GDA) and the organic food labels. Objective understanding towards food labels was relatively high, especially towards those food labels that included a clear text element. Perceived understanding, perceived usefulness and perceived trustworthiness were found to be consistently high with regard to the GDA and the national organic food labels, while the European organic label scored lower. Finally, response to food labels was found to differ between aware and unaware respondents.     

NONPARAMETRIC AND SEMIPARAMETRIC PANEL DATA MODELS: RECENT DEVELOPMENTS

In this paper, we provide an intensive review of the recent developments for semiparametric and fully nonparametric panel data models that are linearly separable in the innovation and the individual-specific term. We analyze these developments under two alternative model specifications: fixed and random effects panel data models. More precisely, in the random effects setting, we focus our attention in the analysis of some efficiency issues that have to do with the so-called working independence condition. This assumption is introduced when estimating the asymptotic variance–covariance matrix of nonparametric estimators. In the fixed effects setting, to cope with the so-called incidental parameters problem, we consider two different estimation approaches: profiling techniques and differencing methods. Furthermore, we are also interested in the endogeneity problem and how instrumental variables are used in this context. In addition, for practitioners, we also show different ways of avoiding the so-called curse of dimensionality problem in pure nonparametric models. In this way, semiparametric and additive models appear as a solution when the number of explanatory variables is large.