On the wald,lagrangian multiplier and likelihood ratio tests when the information matrix is singular

Summary Modified formulas for the Wald and Lagrangian multiplier statistics are introduced and considered together with the likelihood ratio statistics for testing a typical null hypothesisH ₀ stated in terms of equality constraints. It is demonstrated, subject to known standard regularity conditions, that each of these statistics and the known Wald statistic has the asymptotic chi-square distribution with degrees of freedom equal to the number of equality constraints specified byH ₀ whether the information matrix is singular or nonsingular. The results of this paper include a generalization of the results of Sively (1959) concerning the equivalence of the Wald, Lagrange multiplier and likelihood ratio tests to the case of singular information matrices.     

Victimization in young urban adults and depressed mood: understanding the interplay of coping and gender

Violence exposure has a significant impact on victims' psychological well-being. This study examined the relationship between two types of violence exposures (threats and physical assaults), coping styles (emotion focused, avoidant, and problem focused), gender, and depression among 211 (147 females and 64 males) young urban adults (ages 18-24). Most participants (60%) endorsed being physically assaulted, whereas many (40%) endorsed being threatened. Hierarchical multiple regressions were conducted. As hypothesized, women reported using more emotion-focused coping and reported greater depression than men. Avoidant coping was a predictor for increased depression for both men and women. However, women who employed problem-focused coping after their first physical assault reported lower rates of depression. These findings have implications for designing early interventions.     

Overload Stress Perceptions of Public Sector Employees in Pakistan: a Study of Gender,Age, and Education in South Asia

Public Organization Review - Stress impacts all employees in the private and public sectors. This study was conducted with public sector organizations to measure the stress perception of employees...     

Explaining Unequal Levels of Social Capital in Tehran

Social capital may act as an asset to serve people in various situations. However, people do not equally enjoy the same level of social capital and there is inequality in distribution of this asset in societies. There is few research within the wider literature exploring the determinants of inequality in social capital. This study measured and decomposed inequality in the distribution of social capital in Tehran using a concentration index approach. Data was gathered through a survey in 2008, the sample included 2484 of over 18-year old residents. Social Capital Integrated Questionnaire was used to measure social capital status, its dimensions (networking, trust, and cooperation) and outcomes (cohesion and political action). Most of social capital dimensions/outcomes were unequally distributed in Tehran, favouring the rich. However, in terms of political action, the poor were more politically active than the rich in Tehran. Decomposition showed that economic status and education had the highest contributions to the observed inequalities. In efforts to move towards a more just society, these findings can inform future policies in Iran to tackle the observed inequalities in social capital.     

A Bivariate Beta-Gamma Autoregressive Process (BVBGAR(1))

In this article, we introduce a bivariate autoregressive process with Gamma marginal distributions using the form of the BGAR(2) process (Risti?, 2005 Risti? , M. M. ( 2005 ). A Beta-Gamma autoregressive process of the second-order (BGAR(2)) . Statist. Probab. Lett. 73 : 403 – 410 . [Google Scholar]) and the Beta-Gamma transformation. Some properties of the process such as the autocovariance matrix, the autocorrelation matrix, and the spectral density matrix are derived. The unknown parameters of the process are estimated using the method of moments and the method of conditional least squares. Some numerical results of the estimators are given. We investigate nonparametric and parametric estimation of the spectral density matrix of this process.     

An extended Poisson distribution

ABSTRACT

The Poisson distribution is extended over the set of all integers. The motivation comes from the many reflected versions of the gamma distribution, the continuous analog of the Poisson distribution, defined over the entire real line. Various mathematical properties of the extended Poisson distribution are derived. Estimation procedures by the methods of moments and maximum likelihood are also derived with their performance assessed by simulation. Finally, a real data application is illustrated.     

A two-sample test for mean functions with increasing number of projections

We propose a test for equality of two means when data are functions and obtain the asymptotic properties of the test statistic as data dimension increases with the sample size. We also derive the asymptotic power of the test under some local alternatives and show that the test statistic is root-n consistent. A simulation study is conducted to evaluate the performance of the test numerically and to compare the proposed test with other existing four popular tests.     

GLOBALIZATION: INFORMATION TECHNOLOGY AND CULTURE WITHIN THE SPACE ECONOMY OF LATE CAPITALISM

This article analyses the process of globalization from the perspective of a 'political economy of space' where the interactions of the processes of capitalist accumulation within contexts of geographic and social space has profound shaping effects upon the nature of politics, economics and society more generally. The argument will show that contemporary globalization has two dimensions: outward into geographic space, and inward into culture and society. The focus then moves to culture and information technology within the space economy of late capitalism and argues that a crisis of finite geographic space has led to the deepening of the commodificationary processes of capitalist accumulation into the 'identity-spaces' of culture and society. For hugely popular 'cyber-gurus' such as Howard Rheingold and Myron W . Krueger, the development of information technologies such as the Internet-derived 'virtual communities' are spaces where new forms of democracy and 'being' can emerge. This article argues that 'cyberspace' and 'virtual communities' are deeply dystopic and alienated spaces, and cyber-Utopian dreams of other, possible worlds made virtual through information technology are at best naive, when it is realised that the information revolution that evolved from the processes of a particular type of globalization, has conceived and developed technologies with primarily profit, productivity, surveillance labour-saving and escapism in mind.     

How Do Workers’ Remittances Respond to Lending Rates?

The literature on migrants’ motivation to remit ranges from self‐interest to altruism where studies analyse the impact from home country interest rates or interest differentials between home and host countries. We reinterpret the interest rate elasticity of remittances as a form of debt‐repayment responsiveness rather than based on opportunistic motivation. Modelling altruistic transfer and debt‐repayment, we find that, for a panel of countries, the long‐run responsiveness of remittances to changes in real lending rates is negative. This suggests that an expansionary (contractionary) monetary policy is most likely to lead to an increase (reduction) in remittances in the long‐run. In contrast to this, the short‐run impact of interest rate changes on remittances is positive.     

Extended zero-one inflated beta and adjusted three-part regression models for proportional data analysis

Extended zero-one inflated beta and adjusted three-part regression models are introduced to analyze proportional response data where there are nonzero probabilities that the response variable takes the values zero and one. The proposed models adapt skewness and heteroscedasticity of the fractional response data, and are constructed to estimate the unknown parameters. Extensive Monte Carlo simulation studies are used to compare the performance of the two approaches with respect to bias and root mean square error. A real data example is presented to illustrate the application of both regression models.