969 resultados para explanatory variables
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Background: Suicidal thoughts and behaviors, also known as suicidality, are a fairly neglected area of study in patients with obsessive-compulsive disorder (OCD). Objective: To evaluate several aspects of suicidality in a large multicenter sample of OCD patients and to compare those with and without suicidal ideation, plans, and attempts according to demographic and clinical variables, including symptom dimensions and comorbid disorders. Method: This cross-sectional study included 582 outpatients with primary OCD (DSM-IV) recruited between August 2003 and March 2008 from 7 centers of the Brazilian Research Consortium on Obsessive-Compulsive Spectrum Disorders. The following assessment instruments were used: the Yale-Brown Obsessive Compulsive Scale, the Dimensional Yale-Brown Obsessive Compulsive Scale, the Beck Depression and Anxiety Inventories, the Structured Clinical Interview for DSM-IV Axis I Disorders, and 6 specific questions to investigate suicidality. After univariate analyses, logistic regression analyses were performed to adjust the associations between the dependent and explanatory variables for possible confounders. Results: Thirty-six percent of the patients reported lifetime suicidal thoughts, 20% had made suicidal plans, 11% had already attempted suicide, and 10% presented current suicidal thoughts. In the logistic regression, only lifetime major depressive disorder and posttraumatic stress disorder (PTSD) remained independently associated with all aspects of suicidal behaviors. The sexual/religious dimension and comorbid substance use disorders remained associated with suicidal thoughts and plans, while impulse-control disorders were associated with current suicidal thoughts and with suicide plans and attempts. Conclusions: The risk of suicidal behaviors must be carefully investigated in OCD patients, particularly those with symptoms of the sexual/religious dimension and comorbid major depressive disorder, PTSD, substance use disorders, and impulse-control disorders. J Clin Psychiatry 2011;72(1):17-26 (C) Copyright 2011 Physicians Postgraduate Press, Inc.
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HE PROBIT MODEL IS A POPULAR DEVICE for explaining binary choice decisions in econometrics. It has been used to describe choices such as labor force participation, travel mode, home ownership, and type of education. These and many more examples can be found in papers by Amemiya (1981) and Maddala (1983). Given the contribution of economics towards explaining such choices, and given the nature of data that are collected, prior information on the relationship between a choice probability and several explanatory variables frequently exists. Bayesian inference is a convenient vehicle for including such prior information. Given the increasing popularity of Bayesian inference it is useful to ask whether inferences from a probit model are sensitive to a choice between Bayesian and sampling theory techniques. Of interest is the sensitivity of inference on coefficients, probabilities, and elasticities. We consider these issues in a model designed to explain choice between fixed and variable interest rate mortgages. Two Bayesian priors are employed: a uniform prior on the coefficients, designed to be noninformative for the coefficients, and an inequality restricted prior on the signs of the coefficients. We often know, a priori, whether increasing the value of a particular explanatory variable will have a positive or negative effect on a choice probability. This knowledge can be captured by using a prior probability density function (pdf) that is truncated to be positive or negative. Thus, three sets of results are compared:those from maximum likelihood (ML) estimation, those from Bayesian estimation with an unrestricted uniform prior on the coefficients, and those from Bayesian estimation with a uniform prior truncated to accommodate inequality restrictions on the coefficients.
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Empirical studies on the impact of women’s paid jobs on their empowerment and welfare in the Bangladesh context are rare. The few studies on the issue to date have all been confined to the garment workers only although studies indicate that women’s workforce participation in Bangladesh has increased across-the-board. Besides, none of these studies has made an attempt to control for the non-working women and/or applied any statistical technique to control for the effects of other pertinent determinants of women’s empowerment and welfare such as education, age, religion and place of living. This study overcomes these drawbacks and presents alternative assessments of the link between women’s workforce participation and empowerment on the basis of survey data from the two largest cities in Bangladesh. While the generic assessment indicates that women’s paid jobs have positive implications for women’s participation in decisions on fertility, children’s education and healthcare as well as their possession and control of resources, the econometric assessment negates most of these observations. Women’s education, on the other hand, appears to be more important than their participation in the labour force. The study underlines the fact that by omitting other relevant explanatory variables from the analysis, the previous studies might have overestimated the impact of women’s paid work on their empowerment. Among other things, the paper also highlights the importance of women’s job category, religion and regional differences for women’s empowerment.
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This paper tests the explanatory capacities of different versions of new institutionalism by examining the Australian case of a general transition in central banking practice and monetary politics: namely, the increased emphasis on low inflation and central bank independence. Standard versions of rational choice institutionalism largely dominate the literature on the politics of central banking, but this approach (here termed RC1) fails to account for Australian empirics. RC1 has a tendency to establish actor preferences exogenously to the analysis; actors' motives are also assumed a priori; actor's preferences are depicted in relatively static, ahistorical terms. And there is the tendency, even a methodological requirement, to assume relatively simple motives and preference sets among actors, in part because of the game theoretic nature of RC1 reasoning. It is possible to build a more accurate rational choice model by re-specifying and essentially updating the context, incentives and choice sets that have driven rational choice in this case. Enter RC2. However, this move subtly introduces methodological shifts and new theoretical challenges. By contrast, historical institutionalism uses an inductive methodology. Compared with deduction, it is arguably better able to deal with complexity and nuance. It also utilises a dynamic, historical approach, and specifies (dynamically) endogenous preference formation by interpretive actors. Historical institutionalism is also able to more easily incorporate a wider set of key explanatory variables and incorporate wider social aggregates. Hence, it is argued that historical institutionalism is the preferred explanatory theory and methodology in this case.
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This paper proposes a template for modelling complex datasets that integrates traditional statistical modelling approaches with more recent advances in statistics and modelling through an exploratory framework. Our approach builds on the well-known and long standing traditional idea of 'good practice in statistics' by establishing a comprehensive framework for modelling that focuses on exploration, prediction, interpretation and reliability assessment, a relatively new idea that allows individual assessment of predictions. The integrated framework we present comprises two stages. The first involves the use of exploratory methods to help visually understand the data and identify a parsimonious set of explanatory variables. The second encompasses a two step modelling process, where the use of non-parametric methods such as decision trees and generalized additive models are promoted to identify important variables and their modelling relationship with the response before a final predictive model is considered. We focus on fitting the predictive model using parametric, non-parametric and Bayesian approaches. This paper is motivated by a medical problem where interest focuses on developing a risk stratification system for morbidity of 1,710 cardiac patients given a suite of demographic, clinical and preoperative variables. Although the methods we use are applied specifically to this case study, these methods can be applied across any field, irrespective of the type of response.
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O objetivo desta dissertação, de forma geral, foi estimar empiricamente a probabilidade de imigração interestadual de trabalhadores qualificados para o Brasil. Consideraram-se tanto as variáveis relativas ao indivíduo quanto as variáveis relacionadas aos fatores regionais de origem e destino do imigrante e as análises foram feitas para os anos de 2001, 2006 e 2011. Para estimar os coeficientes das variáveis explicativas foram utilizados os modelos probit e logit. Os bancos de dados utilizados foram os microdados da PNAD e os principais resultados mostram que o principal polo de atração de trabalhadores qualificados é o estado de São Paulo. Em geral a probabilidade de migração de trabalhadores qualificados é maior para os indivíduos do sexo masculino, brancos e solteiros. Pessoas mais jovens e com maiores salários também são mais propensas a serem imigrantes qualificados.
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Essa dissertação estuda as características relevantes na formação do preço de venda e aluguel, analisando também as diferenças entre esses atributos para apartamentos na cidade de Vitória/ES, preenchendo uma lacuna ainda não desenvolvida, tendo em vista a possibilidade de comparação entre preços de aluguel e venda. O constructo teórico teve como fundamento abordagem de preços hedônicos, aplicada em estudos de Waugh (1928) e Court (1939), mas formalmente desenvolvida teoricamente por Lancaster (1966) e Rosen (1974), e aplicadas e discutidas por Palmquist (1984) e Sheppard (1999). A revisão de literatura mostra que existe impactos tanto em relação aos aspectos físicos dos imóveis, como características externas, como violência, facilidade de acesso, ou presença de estações de trens ou mercados no entorno, dentre outras. A amostra partiu de uma listagem de oferta de imóveis no site da Netimóveis durante os meses de maio e junho de 2014, contando com um número de 563 observações para venda e 185 para locação. Além dessas duas amostras, foram elaboradas análises com relação a subamostras que possuíam a variável valor do condomínio, buscando ampliar as variáveis explicativas coletadas. A análise dos resultados foi feita com utilização da estatística descritiva, correlação entre variáveis e regressão múltipla, sendo essa última aplicada nos 6 modelos propostos para cada amostra, posteriormente propondo um modelo final para venda e aluguel. No que tange as hipóteses utilizadas e aplicadas nos modelos, parte delas foram utilizadas tendo em base estudos prévios, e outras, como o sol da manhã, por exemplo, foram apresentadas como propostas. Dos resultados encontrados, muitos corroboraram com estudos anteriores, confirmando que variáveis como área, vagas na garagem, varanda, anda e posição de frente da unidade, piscina e localização em bairros nobres impactam positivamente no preço dos imóveis, independente se venda ou aluguel. Como diferenças, foi possível identificar que as variáveis presença de elevador, playground e valor do condomínio participam positivamente da explicação do preço de venda, enquanto, presença de quadra, mobília e sol da manhã explicam positivamente o valor do aluguel na amostra.
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Similarly to what has happened in other countries, since the early 1990s Portuguese companies have developed corporate environmental reporting practices in response to internal and external factors. This paper is based on empirical research directed to both the study of environmental reporting practices developed by Portuguese companies and the identification of the factors that explain the extent to which these companies disclose environmental information. This study focuses on the environmental disclosures made in the annual reports by a sample of 109 large firms operating in Portugal during the period 2002-04. Using the content analysis technique we have developed an index in order to assess the presence of the environmental disclosures in companies’ annual reports and their breadth. Based on the extant literature, several characteristics relating to firms’ attributes were selected and their influence on the level of environmental disclosure was tested empirically. The selected explanatory variables were firm size, industry membership, profitability, foreign ownership, quotation on the stock market and environmental certification. The results reveal that, in spite of the fact that the level of environmental information disclosed during the period 2002-04 is low, the extent of environmental disclosure has increased as well as the number of Portuguese companies that disclose environmental information. Moreover, the firm size and the fact that a company is listed on the stock market are positively related to the extent of environmental disclosure. This study adds to the international research on environmental disclosure by providing empirical data from a country, Portugal, where empirical evidence is still relatively unknown, extending the scope of the current understanding of the environmental reporting practices.
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This paper analyzes the level of disclosure of Intangible Assets, Business Combinations and Goodwill in the consolidated financial statements and its explanatory factors. We have analyzed the annual reports of companies listed on Euronext Lisbon for the year 2010 and have created a Disclosure Index which allows to measure the level of disclosure for each company in this area, based on the existing accounting standards. In order to identify the association between the level of disclosure and its determinants, we have tested several hypotheses which explain the degree of disclosure. The results evidences, company’s size, industry, leverage and audit firms belonging to Big 4as explanatory factors. Only the size presentsa positive association with disclosure index, confirming the hypothesis which establishes that the level of disclosure about Intangible Assets, Business Combinations and Goodwill is greater in larger companies. The remaining explanatory variables presenta negative association with disclosure level.
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The objectives of this empirical study are, on the one hand, to evaluate the level of disclosure, about liquidity risk, practiced by fourteen banking institutions that operate in Portuguese financial system, and, on the other hand, to assess the determinants of that disclosure. To this end, we have used content analysis, as data collection technique, and have examined the information disclosed in the annual reports of the fourteen banks, for the period between 2007 and 2011. For this purpose we have constructed a disclosure index, based on the recommendations of the Basel Committee on Banking Supervision, and have defined a set of potentially explanatory variables related to the level of disclosure. The results demonstrated that size and financial year were the variables that showed up as statistically significant in explaining the level of disclosure.
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The purpose of this paper is to analyse, firstly, to what extent intangible assets in the consolidated accounts of seven Portuguese banks and seven Spanish banks between 2006 and 2009 are disclosed and, secondly, to analyse what the most influential factors are in the above mentioned disclosure. In order to do this, before reviewing the existing literature and on the basis of other studies on this topic, a disclosure index has been created based on the requirements related to the intangible assets as stated in IAS 38. Then, two statistical analyses have been made: a univariate one for each of the explanatory variables and a multivariate one, in which all variables have been analysed. Both analyses led to the conclusion that the disclosure index of intangible assets is 0.96, where the bank dimension and the internationalization degree are the variables that are considered explanatory of the variation of the disclosure index in the regression analysis.
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We are concerned with providing more empirical evidence on forecast failure, developing forecast models, and examining the impact of events such as audit reports. A joint consideration of classic financial ratios and relevant external indicators leads us to build a basic prediction model focused in non-financial Galician SMEs. Explanatory variables are relevant financial indicators from the viewpoint of the financial logic and financial failure theory. The paper explores three mathematical models: discriminant analysis, Logit, and linear multivariate regression. We conclude that, even though they both offer high explanatory and predictive abilities, Logit and MDA models should be used and interpreted jointly.
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Dissertação para a obtenção do Grau de Mestre em Contabilidade e Finanças Orientador: Mestre Adalmiro Álvaro Malheiro de Castro Andrade Pereira
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Copyright © 2013 Springer Netherlands.
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Dissertação de Mestrado, Gestão e Conservação da Natureza, 11 de Junho de 2014, Universidade dos Açores.