Testing for state and local government job queues

Bivariate probit estimates with partial observability identify the factors influencing the worker’s decision to seek a state or local government job and the factors influencing the government’s decision to hire particular workers. The estimates routinely confirm the presence of a local job queue but confirm the presence of a state job queue only when the role of unionization is explicitly recognized. Our results suggest that the net benefits from local and state government employment are greater than those from private sector employment. The estimates also indicate that local governments disproportionately hire racial minorities relative to the local governments’ pool of applicants but indicate no such relationship for state governments. The authors thank Dale Belman, Jugal Ghorai, and Matt Higgins for help on this and related work. We also thank the referee and the editor for useful suggestions.     

Women's participation in self‐help groups as a pathway to women's empowerment: A case of Nepal

Non‐governmental organizations (NGOs) and the government of Nepal have made some effort to reduce poverty in Nepal by creating women's affiliation groups, some of which are micro‐credit organizations. Using capabilities as defined by Amartya Sen (Development as freedom, Oxford University Press, New Delhi, 2000), which includes employment opportunities, women's ownership in productive resources such as land and/or homes, educational opportunities, and women's participation in decision‐making in the family, this study evaluated the extent to which women's ethnic group or caste affiliation affected a woman's likelihood of being empowered by participation in these groups. We analyzed a sample of 8,973 women which was taken from the 2011 Nepal Demographic and Health Survey. Previous research has demonstrated that participation in gender‐based groups is correlated with higher economic status. This study adds to the literature on women's affiliation groups by investigating the impact of structural factors, such as caste and ethnicity, on women's self‐help group participation (women's groups and credit groups).     

DOES WHOM YOU KNOW MATTER? UNRAVELING THE INFLUENCE OF PEERS' NETWORK ATTRIBUTES ON ACADEMIC PERFORMANCE

This paper examines how students' network size, distance, prestige, and connections to influential individuals impact academic performance. Larger and closer networks facilitate information exchange, but may also increase distractions that decrease productivity. We resolve this ambiguity using administrative data from a business school that features random assignment of students to multiple overlapping sets of peers, allowing us to calculate degree, closeness, eigenvector, and Katz‐Bonacich centrality for each node. We find that increasing closeness centrality within the network negatively affects student performance measured by grade point average, suggesting that synergy reduction and information processing costs outweigh benefits from greater information access. (JEL I23, L14, L23)     

The ‘digital glimpse’ as imagining home

This paper proposes the concept of the ‘digital glimpse’, which develops the existing framing of imaginative travel. Here it articulates the experiences of mobile workers digitally connecting into family life and everyday rituals when physically absent with work. The recent embedding of digital communication technologies into personal relationships and family life is reconfiguring how absence is experienced and practiced by workers on the move, and through this, new digital paradigms for life on-the-move are emerging. This paper explores how such social relationships are maintained at-a-distance through digital technology – using evidence from qualitative interviews with mobile workers and their families. Digital technology now enables expressive forms of ‘virtual travel’, including video calling, picture sharing, and instant messaging. This has implications for the ways in which families can manage the social and relational pressures of being apart. Experiences of imaginative travel created through novel media can enrich the experience and give a greater sense of connection for both those who are at home and those who are away. While technology is limited in its ability to replicate a sense of co-presence, ‘digital glimpses’ are an emergent set of sociotechnical practices that can reduce the negative impact of absence on family relationships.     

Application of digital human modeling and simulation for vision analysis of pilots in a jet aircraft: a case study

Ergonomic evaluation of visual demands becomes crucial for the operators/users when rapid decision making is needed under extreme time constraint like navigation task of jet aircraft. Research reported here comprises ergonomic evaluation of pilot's vision in a jet aircraft in virtual environment to demonstrate how vision analysis tools of digital human modeling software can be used effectively for such study. Three (03) dynamic digital pilot models, representative of smallest, average and largest Indian pilot population were generated from anthropometric database and interfaced with digital prototype of the cockpit in Jack software for analysis of vision within and outside the cockpit. Vision analysis tools like view cones, eye view windows, blind spot area, obscuration zone, reflection zone etc. were employed during evaluation of visual fields. Vision analysis tool was also used for studying kinematic changes of pilot's body joints during simulated gazing activity. From present study, it can be concluded that vision analysis tool of digital human modeling software was found very effective in evaluation of position and alignment of different displays and controls in the workstation based upon their priorities within the visual fields and anthropometry of the targeted users, long before the development of its physical prototype.     

Relations for reliability measures of weighted distributions

Relibility measures of weighted distribution of alifeistribution have been derived Sufficientconditions on the weight function have been obtained for the weighted distribution of an IFR distribution to be IFR. Length-biased and equilibrium distributions have been discussed as weighted distributions in the reliability context.     

Bayes estimators of the average failure rates

In the present paper we have proposed a Bayesian approach for making inferences from accelerated life tests which do not require distributional assumptions     

Perceived Inflation Persistence

This article constructs and estimates a measure called perceived inflation persistence that can be used to determine if professional forecasters’ inflation forecasts indicate there has been a change in inflation persistence. This measure is built via the implied autocorrelation function that follows from the estimates obtained using a forecaster-specific state-space model. Findings indicate that U.S. perceived inflation persistence has changed since the mid-1990s with more consensus among forecasters at lower levels of persistence. When compared to the autocorrelation function for actual inflation, forecasters typically react less to shocks to inflation than the actual inflation data would suggest.     

No city for migrant women: construction workers’ experiences of exclusion from urban governance and discrimination in labour markets in Ahmedabad

ABSTRACT

Ahmedabad, Gujarat, is one of the fastest growing cities in the world, and a reflection of India’s story of exclusionary economic growth. This article focuses on research carried out with women construction workers with the help of a migrant construction workers’ union in Ahmedabad. It describes the method used by women members of the union to make visible their experiences as migrants in the city – with men, local authorities, and employers – to highlight the additional burdens that they bear due to a negligent state and industry, advocate for better working and living conditions, and raise consciousness of gender inequalities that need to be integrated into the demands of the workers’ union.