Block bootstrap for dependent errors-in-variables

A linear errors-in-variables (EIV) model that contains measurement errors in the input and output data is considered. Weakly dependent (α- and ?-mixing) errors, not necessarily stationary nor identically distributed, are taken into account within the EIV model. Parameters of the EIV model are estimated by the total least squares approach, which provides highly non linear estimates. Because of this, many statistical procedures for constructing confidence intervals and testing hypotheses cannot be applied. One possible solution to this dilemma is a block bootstrap. An appropriate moving block bootstrap procedure is provided and its correctness proved. The results are illustrated through a simulation study and applied on real data as well.     

The Impacts of Individual Development Accounts,Assets, and Debt on Future Orientation and Psychological Depression

Individual development accounts (IDAs) have been adopted in communities across the country as a way of helping lower-income individuals accrue financial assets. These programs match the savings of program participants if they invest them in the purchase of a home, the creation or expansion of a business, or additional education. Beyond the financial benefits of holding assets, scholars have argued that they should also result in psychological benefits such as enhanced future orientations and decreased depression. This study tests this argument with data from a randomized controlled experiment involving 1,103 applicants to an IDA program. The findings show that assignment to the IDA program was not associated with either future orientation or depression 10 years later. The value of assets held at that time, however, was found to be negatively associated with depression. In addition, self-reported financial stress was found to be negatively associated with future orientation and positively associated with depression.     

How to improve urban greenspace for woodland birds: site and local-scale determinants of bird species richness

Wooded habitats represent hotspots of urban biodiversity, however, urban development imposes pressure on biota in these refuges. Identification of the most influential habitat attributes and the role of local urban characteristics is crucial for proper decisions on management practices supporting biodiversity. We aimed to identify well manageable fine-scale habitat attributes to suggest specific, feasible and affordable management recommendations for green space in cities. We analysed species richness of woodland-associated bird communities and incidence of individual species at 290 sites in a wide variety of green areas scattered across the city of Prague, Czech Republic. Generalized linear mixed models (GLMM) and regression tree analyses were used to identify site-scale (100 m radius sampling sites) and local-scale (200 m and 500 m radius plots) habitat attributes shaping the bird communities at individual sites. Logistic regression was used to assess the responses of individual species to habitat characteristics. Our results imply that at the site scale, management practices should focus on maintenance and promoting species-diverse and older tree stands, with a mixture of coniferous and deciduous trees. Water-bodies and accompanying riparian habitats should be maintained and carefully managed to preserve high-quality remnants of natural vegetation. Presence of a few old trees (about 12 % of tree cover with DBH?>?50 cm) or small urban standing water and watercourses enrich the bird community by at least two species. Species richness of woodland avifauna at particular sites is further supported by the total amount of tree cover in the surroundings, including scattered greenery of public spaces and private gardens. We conclude that proper management at site scale has the potential to increase biodiversity of the urban environment.     

From Abstract Concepts to Experiential Knowledge: Embodying Enlightenment in a Meditation Center

How do abstract philosophies turn into lived reality? Based on 2 years of ethnographic observations and in-depth interviews of vipassana meditation practitioners in Israel and the United States, the paper follows the process through which meditators embody the three main Buddhist tenets: dissatisfaction, impermanence and not-self. While meditators consider these tenets central to Buddhist philosophy, it is only through the practice of meditation that the tenets are experienced on the bodily level and thereby are “realized” as truth. This realization takes place in the situated environment of the meditation center, where participation in long meditation retreats facilitates the production of specific subjective experiences that infuse the knowledge of Buddhist tenets with embodied meaning. The paper illustrates how abstract concepts and embodied experience support one another in the construction of meditators’ phenomenological reality and suggests a general framework for studying the variety of relations that exist between the conceptual and embodied dimensions of different types of knowledge.     

Does Prior Banking Experience Matter? Differences of the Banked and Unbanked in Individual Development Accounts

Using data from the 4-year American Dream Demonstration, this study compares saving performance and program participation of banked (n = 1,538) and unbanked participants (n = 466) enrolled in 14 IDA programs. The study shows banked participants had $2.74 higher average monthly net deposit (p < 0.05); 5% higher deposit frequency (p < 0.001); and 42% less odds of drop out than unbanked participants (p < 0.001). Moreover, program characteristics such as financial education, monthly saving targets, peer group meetings, and direct deposit are important predictors of program performances. Individual characteristics such as race/ethnicity, home ownership, and income are significantly associated with program performance.     

Buying and selling price for risky lotteries and expected utility theory with gambling wealth

I analyze two expected utility models which abandon the consequentialist assumption of terminal wealth positions. In the expected utility of gambling wealth model, in which initial wealth is allowed to be small, I show that a large WTA/WTP gap is possible and the (Rabin in Econometrica, 68(5), 1281–1292, 2000) paradox may be resolved. Within the same model the classical preference reversal which allows arbitrage is not possible, whereas preference reversal (involving buying prices in place of selling prices), which does not allow arbitrage, is possible. In the expected utility of wealth changes model, in which there is no initial wealth, I show that both a WTA/WTP gap as well as the classical preference reversal are possible due to loss aversion, both in its general as well as some specific forms.     

“It will help me in life,that my life will be better”: Future Challenges for Children of Migrant Families

Not much attention has been paid to the children of migrant families in the receiving Israeli society. Our research focuses on how migrant children cope with future orientation and challenges how those children perceive their future course of life. This study speaks with the voices of the children, as represented in their personal stories and interviews, and reveals their interpretation of their futures, their integration in the receiving society, and the significance they accord to the events, activities and experiences they have undergone. Our findings reveal that in the area of future life course the children expressed a positive approach to school, to matriculation, to work and fulfilling future ambitions. In contrast in the area of existential life course children expressed a negative view and most of them reported that it is difficult for immigrant families live in Israel, and therefore they would prefer to migrate to another country.     

The Critical Role of the Initial Stages of Cross-Sector Partnerships and Their Implications for Partnerships’ Outcomes

The paper presents research findings on the initial stages of the life cycle of cross-sector partnerships in the social services. The findings clearly show the importance and impact of the initial stages on the establishment and institutionalization of the partnerships over time. These stages are mainly characterized by clarifying the common goals of the partnership, mobilizing support to achieve the goals, overcoming resistance and relieving fears while convincing opponents to change their attitudes toward the partnership, and formalizing and constructing administrative processes and procedures. Special attention is given to the emotional energy that the management and workers invest in the initial stages in order to overcome barriers as well as ideological, cultural, and procedural gaps between the partner organizations. The relationships between selected organizational properties that typify the initial stages of cross-sector partnerships and the achievement of goals and outcomes are presented, analyzed, and discussed.

     

Participant recruitment and data collection through Facebook: the role of personality factors

As participant recruitment and data collection over the Internet have become more common, numerous observers have expressed concern regarding the validity of research conducted in this fashion. One growing method of conducting research over the Internet involves recruiting participants and administering questionnaires over Facebook, the world’s largest social networking service. If Facebook is to be considered a viable platform for social research, it is necessary to demonstrate that Facebook users are sufficiently heterogeneous and that research conducted through Facebook is likely to produce results that can be generalized to a larger population. The present study examines these questions by comparing demographic and personality data collected over Facebook with data collected through a standalone website, and data collected from college undergraduates at two universities. Results indicate that statistically significant differences exist between Facebook data and the comparison data-sets, but since 80% of analyses exhibited partial η^2?相似文献   

Assessing the impact of measurement error in modeling change in the absence of auxiliary data

Measurement error is well known to cause bias in estimated regression coefficients and a loss of power for detecting associations. Methods commonly used to correct for bias often require auxiliary data. We develop a solution for investigating associations between the change in an imprecisely measured outcome and precisely measured predictors, adjusting for the baseline value of the outcome when auxiliary data are not available. We require the specification of ranges for the reliability or the measurement error variance. The solution allows one to investigate the associations for change and to assess the impact of the measurement error.