Improving the working environment for workers in children's welfare agencies

The working environment and workplace ecology of children's welfare agencies is important to the quality of their service provision. In the past, restructuring and professional development and training have been standard responses to changing needs and demands on children's services but have generally failed to improve the working environment. This research argues that concrete strategies can be developed from a detailed understanding of significant factors impacting on workers' satisfaction and morale. The specific stresses and rewards impacting on workers in three children's welfare services in Australia were investigated over a 12-month period to obtain preliminary information for the formulation of strategies likely to improve satisfaction and morale. The participating organizations were of different size, organizational structure, responsibilities and philosophy. Most factors identified in the study applied across the different organizations. Using a combination of journal writing, recording of critical incidents, relationship mapping and workshops, child welfare workers documented their day-to-day work experiences, outstanding events and networking activities. The narrative data were analysed using force field analysis and quasi-stationary equilibrium analysis based on a categorical framework of individual, team, organizational and political factors. Job satisfaction was strongly linked to intrinsic aspects of the work itself, that is, achieving outcomes for clients. Dissatisfaction with the job was strongly linked to organizational constraints, and strong team identification counterbalanced constraints. Largely unmentioned were political issues, professional practices and ideological and religious beliefs that undoubtedly impacted on practice. This research suggests some concrete steps to enhancing the quality of workplaces in children's welfare services.     

Salesmen,Saleswomen, or Sales Workers? Determinants of the Sex Composition of Sales Occupations

This study examines determinants of occupational sex composition in an expanding area of the economy—sales occupations. We used census data to determine which worker and occupational characteristics predicted the percentage of women in sales occupations in 1980 and in 1990, and which variables contributed to changes in the percentage of women in sales occupations over time. Although sales occupations experienced a disproportionate decline in occupational sex segregation during the 1980s, we found that the same variables predicted the percentage of women in sales occupations in both 1980 and 1990. Average years of schooling, average hourly pay, the percentage of unemployed workers, and the percentage of self-employed workers influenced the percentage of female workers in sales occupations in 1980 and in 1990, both for cross-sectional and dynamic models. In addition, a worker characteristic index that combines percentage White, percentage married, and average age of workers shows surprising effects on the percentage of women in sales occupations. We discuss the implications of these findings for occupational sex segregation, and suggest that a multidimensional queuing perspective offers the most useful interpretation of our results.     

Facilitating Transformation in Workforce Training: Using Clinical Theory to Understand Psychological Self-Sufficiency

Acknowledging the scarcity of a bottom up social work practice model in facilitating the development of success in workforce development programs, this study explores Psychological self-sufficiency (PSS) as an emerging social work practice theory. Phenomenological studies of low-income jobseekers in employment training along with the empirical validation of measures of the core constructs of PSS – employment hope scale (EHS) and perceived employment barrier scale (PEBS) – and testing of the theoretical model resulted in the emergence of a new theory of PSS. PSS was conceptually defined as a dynamic and internal drive that activates the process of transforming cognitively and affectively perceived barriers into hope driven action – the process that enables individuals to move forward toward goals. Based on the evidence of PSS, a participant-centered group intervention model called transforming impossible into possible (TIP) program was developed. This article delineates the trajectory of PSS theory development by critically reviewing various streams of practice theories influencing the PSS theory. Next, the conditions that necessitated the creation of the TIP program and its core principles underlying the functions of PSS are explained. By depicting the TIP program with direct quotes of clients’ experiences, authors exemplify the successful self-discovery process through enhanced PSS skills as a result of participating in the TIP program.     

High Wage Workers and High Wage Firms

We study a longitudinal sample of over one million French workers from more than five hundred thousand employing firms. We decompose real total annual compensation per worker into components related to observable employee characteristics, personal heterogeneity, firm heterogeneity, and residual variation. Except for the residual, all components may be correlated in an arbitrary fashion. At the level of the individual, we find that person effects, especially those not related to observables like education, are a very important source of wage variation in France. Firm effects, while important, are not as important as person effects. At the level of firms, we find that enterprises that hire high-wage workers are more productive but not more profitable. They are also more capital and high-skilled employee intensive. Enterprises that pay higher wages, controlling for person effects, are more productive and more profitable. They are also more capital intensive but are not more high-skilled labor intensive. We find that person effects explain about 90% of inter-industry wage differentials and about 75% of the firm-size wage effect while firm effects explain relatively little of either differential.     

Nonparametric Estimation of Triangular Simultaneous Equations Models

This paper presents a simple two-step nonparametric estimator for a triangular simultaneous equation model. Our approach employs series approximations that exploit the additive structure of the model. The first step comprises the nonparametric estimation of the reduced form and the corresponding residuals. The second step is the estimation of the primary equation via nonparametric regression with the reduced form residuals included as a regressor. We derive consistency and asymptotic normality results for our estimator, including optimal convergence rates. Finally we present an empirical example, based on the relationship between the hourly wage rate and annual hours worked, which illustrates the utility of our approach.