The Weighty World of a “Standard Bearer”: The Influence of Help-Seeking Behaviors on Feeling Pressure

Interpersonal romantic relationships are heavily influenced by societal norms and beliefs. These beliefs can place a great deal of stress on a relationship’s capacity for self-efficacy and behavioral or emotional health. Risk factors associated with individuals’ feelings of “pressure to make their relationship look good to others” were investigated. Analyses were run using a nationally stratified sample (N = 1,112) randomly selected from 1 major metropolis within each of the 10 Administration for Children and Families regions. Results produced an overall theme showing increased pressures of “relationship standard bearing” as education or income levels increase. These results serve as a useful resource to construct relationship education curriculum components, while also providing contextual frames to clinicians and family practitioners.     

CONFIDENCE INTERVALS FOR ABSORBING MARKOV CHAIN PROBABILITIES APPLIED TO LOAN PORTFOLIOS

The problem of estimating steady state absorption probabilities for first order stationary Markov chains having a finite state space is examined. As model parameters, these probabilities are analytic functions of transition probabilities Q and R, and they can be represented as P= (I-Q)^-1R. Estimators P̌ may be obtained by replacing the transition probabilities by their maximum likelihood estimators Q and Ř under multinomial theory. Using large sample multivariate normal theory, one can derive the asymptotic distribution of these estimators and can obtain large sample confidence intervals. Finally, an application related to estimating loss reserves for an installment loan portfolio assumed to satisfy a Markov chain is discussed.     

A DYNAMIC PROGRAMMING MODEL FOR PERIODICAL SELECTION

This paper presents a model for choosing the periodical collection in a reading room. The model consists of two stages. In the first stage the probability distribution of contacts by users with a given periodical is developed and employed to determine the utility of the periodical. In the second stage the problem of choosing an optimum periodical collection is formulated as a capital budgeting problem and solved with the aid of dynamic programming. The implementation of this model at the University of Connecticut is described in detail.     

PROCEDURES TO INCREASE THE VALIDITY OF SUBJECTIVE PROBABILITY ESTIMATES

A decision making model is often very sensitive to the subjective probability estimates that are used. To reduce this sensitivity, it is necessary to utilize elicitation procedures that yield more valid estimates and increase the decision maker's confidence in the estimates. This paper discusses an experiment in which the subjects were asked to estimate the areas of various squares. Two procedures were evaluated. In one procedure, the subjects were told that estimates were distributed typically around the true value in accordance with the normal probability distribution. In the other, the subjects were asked to estimate the length as a component that could be used to calculate the area. The results indicate that the normal error model is a reasonable representation of the estimation procedure. Both procedures provided estimates with significant validity. There is also an indication that the procedures reduce bias and that both procedures result in more consistent estimates when the sizes of the squares are varied.     

Random Coefficients Estimation of Average Total Product Costs for Multiproduct Firms

The problem of estimating the mean average total cost of each output for multiproduct firms in an industry is addressed. The identity that defines total cost for each firm as the product of output levels multiplied by their respective average total costs is viewed as a random-coefficients model. A random coefficients regression estimator is used to estimate mean average total output costs. Solutions to problems arising with this method in empirical studies are discussed. An application of the approach to data from cash grain farms in Illinois shows that the method gives reliable estimates for per-unit output production costs with considerably fewer data requirements than current methods of cost estimation.     

Size of Family of Orientation and Family Size Preference: A Replication

Abstract

Past studies have found a modest, positive association between size of family of orientation and preferred family size and fertility behavior in the family of procreation. While there is some consistency in the findings, contradictions are also noted. The present study replicates earlier studies dealing with preferred family size, and seeks to resolve some of the contradictions by utilizing multiple classification analysis to determine the simultaneous impact of parental family size, religion, happiness, lifestyle stability, and birth order on family size preference.