Financial-Firm Production of Monetary Services: A Generalized Symmetric Baroett Variable-Profit-Function Approach

An alternative monetary-production model of financial firms is employed to investigate supply-side monetary aggregation. Financial firms are conceived to produce monetary services as outputs through financial intermediation. A new method for testing the existence of consistent monetary-output aggregates in financial firms' production technology is developed in terms of a multiproduct firm's variable profit function, and the method does not require homotheticity of the aggregator function. We use a generalized symmetric Barnett flexible functional form. That specification satisfies global curvature conditions and retains its flexibility under the null hypothesis of weak separability. Neither of those properties is possessed by other flexible functional forms.     

Reviewing challenges and the future for qualitative interviewing

ABSTRACT

In this article, we consider challenges for the existence and practice of qualitative research interviews. We review key features of qualitative interviewing, in particular the debate over the radical critique of interviewing and the nature of the data it generates, to set the scene for our arguments about the current standing and future prognosis for the method of generating data and the technologies that enable this. We look at qualitative interviewing in the context of the political project of neoliberalism and the regime of austerity associated with it, and the linked turn to what is known as ‘big data’, a feature of digital technological developments in garnering data. Qualitative researchers using interview methods have been creative in working with and resisting features of neoliberal austerity pragmatically and politically, and we provide some examples. We also consider an epistemological challenge and resistance from outside of the dominant framework – interviewing in indigenous methodologies. We argue that it is the relationship between the interview as a method of data generation for research and the ways of knowing about the world, that is the epistemology that the interview-based research proceeds from, that is crucial in considering the potentials for the method’s practice.     

Addressing potential prior‐data conflict when using informative priors in proof‐of‐concept studies

Bayesian methods are increasingly used in proof‐of‐concept studies. An important benefit of these methods is the potential to use informative priors, thereby reducing sample size. This is particularly relevant for treatment arms where there is a substantial amount of historical information such as placebo and active comparators. One issue with using an informative prior is the possibility of a mismatch between the informative prior and the observed data, referred to as prior‐data conflict. We focus on two methods for dealing with this: a testing approach and a mixture prior approach. The testing approach assesses prior‐data conflict by comparing the observed data to the prior predictive distribution and resorting to a non‐informative prior if prior‐data conflict is declared. The mixture prior approach uses a prior with a precise and diffuse component. We assess these approaches for the normal case via simulation and show they have some attractive features as compared with the standard one‐component informative prior. For example, when the discrepancy between the prior and the data is sufficiently marked, and intuitively, one feels less certain about the results, both the testing and mixture approaches typically yield wider posterior‐credible intervals than when there is no discrepancy. In contrast, when there is no discrepancy, the results of these approaches are typically similar to the standard approach. Whilst for any specific study, the operating characteristics of any selected approach should be assessed and agreed at the design stage; we believe these two approaches are each worthy of consideration. Copyright © 2015 John Wiley & Sons, Ltd.     

Funding Strategies for Population Researchers: Perspectives from the National Institutes of Health

The purpose of this article is to briefly describe the application and funding process at the National Institutes of Health (NIH). We target our discussion to demographic and population science at the Eunice Kennedy Shriver National Institute of Child Health & Human Development (NICHD), but the general strategies are applicable to social and behavioral scientists for all NIH funding opportunities.     

Dual-earner couples and the decision to work less: A conceptual model

This paper examines the factors that affect the decision made by dual-earner couples concerning the possibility of one (or both) partners working a reduced-hours schedule. We rely on a comprehensive review of the literature on part-time work among dual-earner couples and on the factors that affect the decisions couples make about their work hours as well as preliminary findings from our ongoing study to consider two key questions: (1) What factors do dual-earner couples take into account when they consider whether one or both might work a reduced-hours schedule? (2) If the couple decides that one partner will work a reduced-hours schedule, how do they decide which partner reduces the hours of employment? Most previous research has focused on the centrality of gender in the decisions that couples make concerning the hours that they work. However, our review of the literature and the preliminary findings of our current research suggest that there are other factors that affect (directly or indirectly) the couples' decisions related to part-time options. Based on this review we present a new decision-making model for two-earner couples that will have implications for future research and policy initiatives. This paper is particularly timely for several reasons: the number of dual-earner couples continues to increase; there is some indication that more employees would choose to reduce their work hours if that were a viable option; and recently, managers and professional workers have become more vocal about their interest in part-time career options.     

Educating the labouring poor in nineteenth-century Suffolk

This article demonstrates the utility of a new source, prison registers, for the history of literacy and education in nineteenth-century England. It focuses on two sets of prison registers from the two county gaols in Suffolk, located at Ipswich and Bury St Edmunds, which contain personal information on 16,690 individuals over the period 1840 to 1878. First, the article examines the context in which personal information about prisoners was recorded and tests the data against benchmarks from other sources to prove its reliability. Second, the article employs two methods, statistical analysis and digital mapping, to study in depth the rich data on prisoners’ literacy and schooling. Finally, the article shows how the results of this analysis significantly revise our understanding of the prevalence of schooling among the labouring poor, the use of different types of schools, the role of the partially literate in the drive towards mass literacy, and the importance of life-long learning.