Time, Self, and the Curiously Abstract Concept of Agency*

The term "agency" is quite slippery and is used differently depending on the epistemological roots and goals of scholars who employ it. Distressingly, the sociological literature on the concept rarely addresses relevant social psychological research. We take a social behaviorist approach to agency by suggesting that individual temporal orientations are underutilized in conceptualizing this core sociological concept. Different temporal foci—the actor's engaged response to situational circumstances—implicate different forms of agency. This article offers a theoretical model involving four analytical types of agency ("existential,""identity,""pragmatic," and "life course") that are often conflated across treatments of the topic. Each mode of agency overlaps with established social psychological literatures, most notably about the self, enabling scholars to anchor overly abstract treatments of agency within established research literatures.     

ADDITIVE MODELS WITH PREDICTORS SUBJECT TO MEASUREMENT ERROR

This paper develops a likelihood‐based method for fitting additive models in the presence of measurement error. It formulates the additive model using the linear mixed model representation of penalized splines. In the presence of a structural measurement error model, the resulting likelihood involves intractable integrals, and a Monte Carlo expectation maximization strategy is developed for obtaining estimates. The method's performance is illustrated with a simulation study.     

Conditioning effect of prior reputation on perception of corporate giving

Prior corporate reputation, one responsibility of a public relations department, affects public perceptions toward corporate philanthropic messages and ultimately affects public attitudes toward the company. Using an experiment that emulates the sort of news consumption individuals normally undertake, participants inferred corporate charitable giving as a mutually beneficial activity when a company had a good reputation (H1a). Participants inferred corporate charitable giving as a self-interested activity when the company had a bad reputation (H1b). Also, public inference (suspicion) successfully mediated corporate prior reputation on public attitude toward the company (H2). Participants showed positive attitude toward the company when they inferred the company had an altruistic motive for charitable giving (H3a). However, participants showed negative attitude toward the company when they inferred the company had a self-interested motive for charitable giving (H3b).     

SEMIPARAMETRIC REGRESSION AND GRAPHICAL MODELS

Semiparametric regression models that use spline basis functions with penalization have graphical model representations. This link is more powerful than previously established mixed model representations of semiparametric regression, as a larger class of models can be accommodated. Complications such as missingness and measurement error are more naturally handled within the graphical model architecture. Directed acyclic graphs, also known as Bayesian networks, play a prominent role. Graphical model-based Bayesian 'inference engines', such as bugs and vibes , facilitate fitting and inference. Underlying these are Markov chain Monte Carlo schemes and recent developments in variational approximation theory and methodology.     

MOTHER'S EMPLOYMENT DEMANDS, WORK-FAMILY CONFLICT, AND ADOLESCENT DEVELOPMENT

This study revisited the old research question of whether or not maternal employment would adversely affect children's development. We reframed the question by asking how a mother's temporal employment demands might be linked to child development. We used longitudinal data from a sample of 340 white, lower- to middle-class, dual-earner families living in the rural Midwest of the United States. The data were obtained from questionnaires and videotaped observations, and were informed by the mother, the father, the adolescent child, and a trained observer. As predicted, we found a strong relationship between a mother's temporal employment demands and work-family conflict, which was significantly associated with her emotional distress. A husband's egalitarian gender ideology was found to reduce the mother's emotional distress. Maternal distress was then negatively associated with nurturant and involved parenting, which in turn predicted a reduction in the adolescent child's emotional and behavioral problems over time.     

The Effects of Judicial Strength and Rule of Law on Portfolio Investment in the Developing World*

Objective. Applying existing theories relating to investment risk, this article examines the effects of judicial strength and adherence to the rule of law on portfolio investment in the developing world. We aim to demonstrate that countries with higher levels of judicial strength and rule of law are more able to attract portfolio investment because they provide greater protection of property rights and a better risk environment for investors. Methods. Using time‐series data for 79 developing countries for the period 1996–2005, we employ panel‐corrected standard errors multivariate regressions to demonstrate that higher levels of judicial strength and rule of law are associated with higher levels of portfolio investment. Results. We find that a one standard deviation increase in overall judicial strength and rule of law results in more than a 50 percent increase in portfolio investment. In separate analyses, we show that a one standard deviation increase in specific measures of judicial independence, impartial courts, and protection of property rights leads to increases in portfolio investment ranging from 27 percent to 184 percent. Conclusion. Judicial strength and adherence to the rule of law are important determinants of portfolio investment in the developing world.     

Feature significance in generalized additive models

This paper develops inference for the significance of features such as peaks and valleys observed in additive modeling through an extension of the SiZer-type methodology of Chaudhuri and Marron (1999) and Godtliebsen et al. (2002, 2004) to the case where the outcome is discrete. We consider the problem of determining the significance of features such as peaks or valleys in observed covariate effects both for the case of additive modeling where the main predictor of interest is univariate as well as the problem of studying the significance of features such as peaks, inclines, ridges and valleys when the main predictor of interest is geographical location. We work with low rank radial spline smoothers to allow to the handling of sparse designs and large sample sizes. Reducing the problem to a Generalised Linear Mixed Model (GLMM) framework enables derivation of simulation-based critical value approximations and guards against the problem of multiple inferences over a range of predictor values. Such a reduction also allows for easy adjustment for confounders including those which have an unknown or complex effect on the outcome. A simulation study indicates that our method has satisfactory power. Finally, we illustrate our methodology on several data sets.     

NONPARAMETRIC AUTOCOVARIANCE FUNCTION ESTIMATION

Nonparametric estimators of autocovariance functions for non-stationary time series are developed. The estimators are based on straightforward nonparametric mean function estimation ideas and allow use of any linear smoother (e.g. smoothing spline, local polynomial). The paper studies the properties of the estimators, and illustrates their usefulness through application to some meteorological and seismic time series.     

Diagnosing the pathological gambler

This paper discusses problems of making the diagnosis of pathological gambling, a new diagnosis in the 1980 edition of DSM III. Suggestions are made for taking the patient's history, evaluating it, and ruling out other diagnoses. A checklist derived from DMS III is presented to help facilitate making an accurate diagnosis.An earlier version of this paper was read at the Fourth Annual Conference on Gambling, Lake Tahoe, Nevada, 1981.