A-1 Monthly Public Assistance Statistical Report Family Investment Program, September 2003

Monthly Public Assistance Statistical Report Family Investment Program

A-1 Monthly Public Assistance Statistical Report Family Investment Program, October 2003

Monthly Public Assistance Statistical Report Family Investment Program

A-1 Monthly Public Assistance Statistical Report Family Investment Program, November 2003

Monthly Public Assistance Statistical Report Family Investment Program

A Model of Collateral, Investment, and Adverse Selection

This paper characterizes the relationship between entrepreneurial wealth and aggregate investment under adverse selection. Its main finding is that such a relationship need not be monotonic. In particular, three results emerge from the analysis: (i) pooling equilibria, in which investment is independent of entrepreneurial wealth, are more likely to arise when entrepreneurial wealth is relatively low; (ii) separating equilibria, in which investment is increasing in entrepreneurial wealth, are most likely to arise when entrepreneurial wealth is relatively high and; (iii) for a given interest rate, an increase in entrepreneurial wealth may generate a discontinuous fall in investment.

A-1 Monthly Public Assistance Statistical Report Family Investment Program, October 2006

A-1 Monthly Public Assistance Statistical Report Family Investment Program, October 2006

A-1 Monthly Public Assistance Statistical Report Family Investment Program, November 2006

A-1 Monthly Public Assistance Statistical Report Family Investment Program, November 2006

A-1 Monthly Public Assistance Statistical Report Family Investment Program, December 2006

A-1 Monthly Public Assistance Statistical Report Family Investment Program.

A-1 Monthly Public Assistance Statistical Report Family Investment Program, January 2007

A-1 Monthly Public Assistance Statistical Report Family Investment Program for January 2007

The Recent International and Regulatory Decisions about Geographical Indications, 2007

As worldwide consumer demand for high-quality products and for information about these products increases, labels and geographical indications (GIs) can serve to signal quality traits to consumers. However, GI systems among countries are not homogeneous and can be used as trade barriers against competition. Philosophical differences between the European Union and the United States about how GIs should be registered and protected led to the formation of a WTO dispute settlement panel. In this paper we discuss the issues behind the dispute, the World Trade Organization (WTO) panel decision, and the EU response to the panel decision leading to the new Regulation 510/2006. Given the potential for GI labels to supply consumer information, context is provided for the discussion using recent literature on product labeling. Implications are drawn regarding the importance of the panel decision and the EU response relative to GI issues yet to be negotiated under the Doha Round.

Factors influencing Intensive Care Units nurses in end-of-life decisions

OBJECTIVETo identify the factors that influence the Intensive Care Unit nurse in the decision-making process in end-of-life situations.METHODEthnographic case study, which used the theoretical framework of medical anthropology. Data were collected through semi-structured interviews with 10 nurses.RESULTSThe inductive thematic analysis enabled us to identify four themes:The cultural context of the Intensive Care Unit: decision-making in situations of end-of-life; Beliefs and subjectivity of care in end-of-life situations; Professional experience and context characteristics of end-of-life care situations; and Humanization practices in end-of-life situations: the patient and family centered care.CONCLUSIONProfessional maturity, the ability to transmit information and the ability to negotiate are directly related to the inclusion of nurses in the decision-making process.

A-1 Monthly Public Assistance Statistical Report Family Investment Program, February 2007

A-1 Monthly Public Assistance Statistical Report Family Investment Program - February 2007

A-1 Monthly Public Assistance Statistical Report Family Investment Program, March 2007

A-1 - Monthly Public Assistance Statistical Report Family Investment Program - March 2007

A-1 Monthly Public Assistance Statistical Report Family Investment Program, April 2007

A-1 - Monthly Public Assistance Statistical Report Family Investment Program - April 2007

A-1 Monthly Public Assistance Statistical Report Family Investment Program, May 2007

A-1 - Monthly Public Assistance Statistical Report Family Investment Program - May 2007

Lyfe-cycle effects on household expenditures: A latent-variable approach

Using data from the Spanish household budget survey, we investigate life-cycle effects on several product expenditures. A latent-variable model approach is adopted to evaluate the impact of income on expenditures, controlling for the number of members in the family. Two latent factors underlying repeated measures of monetary and non-monetary income are used as explanatory variables in the expenditure regression equations, thus avoiding possible bias associated to the measurement error in income. The proposed methodology also takes care of the case in which product expenditures exhibit a pattern of infrequent purchases. Multiple-group analysis is used to assess the variation of key parameters of the model across various household life-cycle typologies. The analysis discloses significant life-cycle effects on the mean levels of expenditures; it also detects significant life-cycle effects on the way expenditures are affected by income and family size. Asymptotic robust methods are used to account for possible non-normality of the data.