Analysis of incomplete durations with application to contraceptive use

Models for analysing incomplete durations obtained from cross-sectional surveys are presented. The aim of the paper is to develop a framework for analysing the incomplete duration of episodes in progress at the time of the survey by formulating generalized linear models and fitting and assessing them by using standard statistical packages. The maximum quasi-likelihood method is used for model fitting. The choice of the distribution and the diagnostic procedures are discussed. Simulated data from two distributions (the Weibull and log-logistic distributions) are used to evaluate the methodology developed and to assess model misspecifications. A data set on the current use of the contraceptive pill from a cross-sectional survey in Egypt is analysed.     

Leveraging middle managers’ brokerage for corporate entrepreneurship: The role of multilevel social capital configurations

Building on recent efforts to bring a socio-political perspective to social capital research, we develop and test a multilevel framework that explains why middle managers who occupy brokerage positions differ in their ability and willingness to engage in entrepreneurial behavior. More specifically, we provide a contextualized understanding of the links among middle managers' brokerage, their political-support ties, and their personal initiative. Results derived from data on 383 middle managers and 72 top managers in 34 business units indicate that political-support ties with top managers strengthen the relationship between middle managers’ brokerage and personal initiative. However, this positive effect depends on the social capital resources available in the focal business unit. It is attenuated in business units with a supportive and trusting social context and amplified in business units with high levels of internal connectedness. By uncovering these incompatibilities and complementarities, our study demonstrates the value of accounting for different social capital configurations and the interplay of their inherent social capital resources when examining the effects of brokerage on corporate entrepreneurship.     

Reframing Resilience: Equitable Access to Essential Services

We urgently need to put the concept of resilience into practice if we are to prepare our communities for climate change and exacerbated natural hazards. Yet, despite the extensive discussion surrounding community resilience, operationalizing the concept remains challenging. The dominant approaches for assessing resilience focus on either evaluating community characteristics or infrastructure functionality. While both remain useful, they have several limitations to their ability to provide actionable insight. More importantly, the current conceptualizations do not consider essential services or how access is impaired by hazards. We argue that people need access to services such as food, education, health care, and cultural amenities, in addition to water, power, sanitation, and communications, to get back some semblance of normal life. Providing equitable access to these types of services and quickly restoring that access following a disruption are paramount to community resilience. We propose a new conceptualization of community resilience that is based on access to essential services. This reframing of resilience facilitates a new measure of resilience that is spatially explicit and operational. Using two illustrative examples from the impacts of Hurricanes Florence and Michael, we demonstrate how decisionmakers and planners can use this framework to visualize the effect of a hazard and quantify resilience-enhancing interventions. This “equitable access to essentials” approach to community resilience integrates with spatial planning, and will enable communities not only to “bounce back” from a disruption, but to “bound forward” and improve the resilience and quality of life for all residents.     

Minimizing the expected time to detect a randomly located lost target using 3-dimensional search technique

Abstract

This paper considers a new model in search theory to find a randomly located target in the 3-dimensional space. An approximation algorithm that facilitates searching procedures for searchers or robots is presented. The expected time to detect the target is also proved. The statistical analysis by calculating the optimal search strategy which minimizes the time to detect the target, assuming trivariate standard normal distribution is provided, and the technique by flowcharts is designed as well. The effectiveness of this strategy is illustrated by introducing an application from real world.     

Minifying Government: The Unintended Consequences of the Bergman Secondary Road Act of 1929*

Objective. In 1929, Iowa adopted the Bergman Secondary Road Act, which transferred control of the state's rural roads from the townships to the counties. This study examines the interesting and potentially important unintended consequences of the law. Method. We gathered the minutes from 2,275 Iowa township meetings in 20 townships from 1917 to 1950 to investigate the effect of the Bergman Act. Results. Multiple regression analysis shows that this apparently innocuous Act turned out to have dramatic and unintended consequences on Iowa's township governments. Without responsibility for the roads, township government activity plunged dramatically—the annual number of meetings and the length of those meetings fell by half from 1929 to 1930. The effect of the law on township activity remains substantial even after controlling for competing explanations, such as the onset of the Depression. Conclusions. The Bergman Act unintentionally caused a sharp drop in township activity and it may have initiated the gradual marginalization of Iowa township governments that continues today. It is even possible that it had a depressing effect on voter turnout in rural Iowa.     

Using Surveys in Public Participation Processes for Risk Decision Making: The Case of the 2003 British GM Nation? Public Debate

This article takes as its case study the “GM Nation?” public debate, a major participation process on the commercialization of agricultural biotechnology, which occurred in Britain during the summer of 2003. We investigate possible self‐selection biases in over 36,000 open questionnaire responses on the risks and benefits of genetically modified crops and food obtained during GM Nation? A comparison sample of equivalent responses from a statistically representative sample (n= 1,363) of the British general public obtained shortly after the conclusion of the debate is reported. This comparison shows that the GM Nation? open responses were indeed not fully representative of British “public opinion” regarding agricultural biotechnology. Rather, such opinion is not a unitary whole, but fragmented, with considerable ambivalence coexisting alongside outright opposition to GM agriculture. The methodological implications for multistage participation processes are discussed: in particular, the need to anticipate outcomes of complex design decisions, and to include representative public surveys as standard where measures of broader public attitudes to risk are an important objective.