Why Parents Play Favorites: Explanations for Unequal Bequests

Economists have invested a great deal of effort in trying to understand the motivation for family transfers, yet recent empirical work testing the seemingly appealing models of altruism and exchange has led to decidedly mixed results. A major stumbling block has been the lack of adequate data. We take a fresh look at the issue using responses to an innovative survey question that directly asks mother about the planned division of their estates. We find that both altruism and exchange are frequently offered as explanations of behavior and are of nearly equal importance. Furthermore, the explanations are consistent with observable characteristics of the mother, lending support to the validity of the question. We also find that among step or adopted families, genetic ties play an important role. Because motivating factors appear to differ across families the lack of a consensus among previous researchers about motives ought not to be surprising.

Interpreting Degree Effects in the Returns to Education

Researchers often identify degree effects by including degree attainment (D) and years of schooling (S) in a wage model, yet the source of independent variation in these measures is not well understood. We argue that S is negatively correlated with ability among degree-holders because the most able graduate the fastest, while a positive correlation exists among dropouts because the most able benefit from increased schooling. Using data from the NLSY79, we find support for this explanation, and we reject the notion that the independent variation in S and D reflects reporting error.returns to education, degree effects

Assessing the evolution of primary healthcare organizations and their performance (2005-2010) in two regions of Québec province: Montréal and Montérégie

<p>Abstract</p> <p>Background</p> <p>The Canadian healthcare system is currently experiencing important organizational transformations through the reform of primary healthcare (PHC). These reforms vary in scope but share a common feature of proposing the transformation of PHC organizations by implementing new models of PHC organization. These models vary in their performance with respect to client affiliation, utilization of services, experience of care and perceived outcomes of care.</p> <p>Objectives</p> <p>In early 2005 we conducted a study in the two most populous regions of Quebec province (Montreal and Montérégie) which assessed the association between prevailing models of primary healthcare (PHC) and population-level experience of care. The <b>goal </b>of the present research project is to track the <it>evolution </it>of PHC organizational models and their relative performance through the reform process (from 2005 until 2010) and to assess factors at the organizational and contextual levels that are associated with the transformation of PHC organizations and their performance.</p> <p>Methods/Design</p> <p>This study will consist of three interrelated surveys, hierarchically nested. The first survey is a population-based survey of randomly-selected adults from two populous regions in the province of Quebec. This survey will assess the current affiliation of people with PHC organizations, their level of utilization of healthcare services, attributes of their experience of care, reception of preventive and curative services and perception of unmet needs for care. The second survey is an organizational survey of PHC organizations assessing aspects related to their vision, organizational structure, level of resources, and clinical practice characteristics. This information will serve to develop a taxonomy of organizations using a mixed methods approach of factorial analysis and principal component analysis. The third survey is an assessment of the organizational context in which PHC organizations are evolving. The five year prospective period will serve as a natural experiment to assess contextual and organizational factors (in 2005) associated with migration of PHC organizational models into new forms or models (in 2010) and assess the impact of this evolution on the performance of PHC.</p> <p>Discussion</p> <p>The results of this study will shed light on changes brought about in the organization of PHC and on factors associated with these changes.</p