Undocumented Latina immigrants in Orange County,California: a comparative analysis

"This article examines a unique data set randomly collected from Latinas (including 160 undocumented immigrants) and non-Hispanic white women in Orange County, California, including undocumented and documented Latina immigrants, Latina citizens, and non-Hispanic white women. Our survey suggests that undocumented Latinas are younger than documented Latinas, and immigrant Latinas are generally younger than U.S.-citizen Latinas and Anglo women. Undocumented and documented Latinas work in menial service sector jobs, often in domestic services. Most do not have job-related benefits such as medical insurance.... Despite their immigration status, undocumented Latina immigrants often viewed themselves as part of a community in the United States, which significantly influenced their intentions to stay in the United States. Contrary to much of the recent public policy debate over immigration, we did not find that social services influenced Latina immigrants' intentions to stay in the United States."     

Implementation With Contingent Contracts

We study dominant strategy incentive compatibility in a mechanism design setting with contingent contracts where the payoff of each agent is observed by the principal and can be contracted upon. Our main focus is on the class of linear contracts (one of the most commonly used contingent contracts) which consist of a transfer and a flat rate of profit sharing. We characterize outcomes implementable by linear contracts and provide a foundation for them by showing that, in finite type spaces, every social choice function that can be implemented using a more general nonlinear contingent contract can also be implemented using a linear contract. We then qualitatively describe the set of implementable outcomes. We show that a general class of social welfare criteria can be implemented. This class contains social choice functions (such as the Rawlsian) which cannot be implemented using (uncontingent) transfers. Under additional conditions, we show that only social choice functions in this class are implementable.     

Risk,Process Maturity,and Project Performance: An Empirical Analysis of US Federal Government Technology Projects

In recent years, there has been increasing pressure on the US federal government to reduce spending and improve the management of its technology projects. Mitigating the adverse impact of risks on the performance of these projects presents a significant challenge for its stakeholders. Our research examines this challenge in two steps. First, we identify and define a set of salient risks in federal technology projects—specifically, complexity risk and contracting risk in the planning process, and execution risk in the execution process. Next, we investigate whether higher levels of process maturity, assessed by the Capability Maturity Model Integration (CMMI) framework, mitigate the negative effect of project risks on project performance. The analysis of time‐series data collected from 82 federal technology projects across 519 quarterly time periods indicates that each of the three types of risks has a significant negative effect on project performance. This finding highlights the practical significance of managing these risks in the federal technology project context. Further, we find that increasing levels of process maturity attenuate the negative effect of project risks on the performance of federal technology projects. However, the attenuation effects are consequential only at high levels of project risks; at low levels of project risk, increasing levels of process maturity can adversely affect project performance. To demonstrate the financial implications of increasing process maturity levels in federal technology projects, we examine the magnitude of project cost savings (and overruns) across different levels of CMMI and project risks. In summary, our study contributes to the sparse literature on public sector operations by addressing the understudied context of federal technology projects, and provides a nuanced examination of the implications of process maturity in managing the risk to performance relationship in such projects.     

Making Comparisons of Demographic Aggregates more Meaningful: A Case of Life Expectancies and Total Fertility Rates

With the recent emphasis on human development, development researchers are making frequent use of aggregate demographic measures in describing development experiences and more so while linking health and development. And it is often seen that comparison of these demographic aggregates across space and time is naïve given their complex construct on one hand and the implied meaning on the other. Are these comparisons across the board valid for the meanings ascribed to them? Or are the stated achievements as well as projected trends based on them reliable? This paper attempts to illustrate these concerns taking the twin aggregate measures frequently in use namely the life expectancy and Total fertility Rates. The primary focus here has been to link additional dimension of the same phenomenon (referring to survival or fertility here) which does not follow the principle of matched ordering while read along with these aggregates. Taking into account these additional dimensions, the magnitude of the differences in these aggregate measures gets moderated and their comparison across levels (between lower and higher) becomes more consistent.     

Equivariance of ridge estimators through standardization,a note

We show that standardization of data recommended for Ridge Regression (RR) by Hoerl and Kennard (1970 a8b), Marquardt and Snee (1975), and others is worthwhile despite the criticisms by Swamy, Mehta and Rappoport (SMR) (1978).     

Measurement of Economic Distance Between Blacks and Whites

This article proposes new distribution-free methods for estimating the economic distance (advantage) between one group and another, especially for interval-to-interval comparisons, which can be more informative than a single aggregative measure. Novel techniques for computing projected quantiles, smoothing of empirical cumulative distribution functions, maximum entropy methods for finding the upper bound of the richest income interval, and statistical confidence intervals are described and applied to black-white income differences in 1967 and 1979.     

Roles of Transparency and Trust in the Relationship between Privatization and Customers’ Satisfaction in Ethiopia: Results of Structural Equation Modelling

As a part of public sector reform, privatization has been actively experienced since three decades across the globe. This study examines the relationship between privatization of public organizations and customers’ satisfaction in Ethiopia with the mediating role of transparency and trust. The structural equation modelling was applied to 315 samples taken from privatized services and manufacturing sectors. The results established that transparency alone fails to be a mediator, but trust plays the role of a partial mediator into the relationship between privatization and customers satisfaction. Combined together, the model results into a partial mediation of both transparency and trust.

     

The Effects of Knowledge Management on Team Members' Ratings of Project Success and Impact*

Many organizations are trying to improve the generation and utilization of knowledge. The activities associated with these efforts are identified as organizational knowledge management (KM). While much has been written about knowledge management from the organizational level, the success of such efforts over the long run will depend upon on how KM activities impact important outcomes as perceived by those at the employee level who actually implement the activities. This study used the input‐process‐output framework of team effectiveness to investigate the relationship between selected KM‐related activities on integrated product and process development team members' satisfaction with their project's success and the impact they expected it to have on the organization. The results indicate that team‐level leadership and support (i.e., inputs), along with knowledge generation and dissemination (i.e., processes), are key drivers of member performance‐related ratings (i.e., outputs). Finally, and possibly most importantly, a number of interactions were evident suggesting that the KM processes moderate the effects of the KM inputs. These findings and their implications are discussed.