Merchandizing the Sacred: Commodifying Hindu Religion,Gods/Goddesses,and Festivals in the United States

The Immigration and Nationality Act of 1965 opened the gates for immigrants from India, who have come to the United States for various reasons other than religion. Their religious consciousness has grown along with the age of their children who are born in the United States. They have felt the need to retain and hand down their tradition and culture. In the process, sustaining their tradition and culture has become equivalent with religion, so they express it through rituals and festivals. With these festive observances has developed an intimate connection between commerce and religion, fashion and festival, celebration and consumption. In this scholarly essay, I analyze how Hindu religion has succumbed to the world of advertisements, mass production, and marketing in the United States. This aspect is significant because it gives an opportunity to conceptualize a larger transnational space that deals with Hindu religious practices and sees the participation of retailers and businesses located in various Hindu diasporic spaces using various marketing media strategically.     

Technology Import and Industrial Employment: Evidence from Developing Countries

Abstract. This paper based on panel data across countries examines the possible effect of the imported technology on labour absorption in the industrial sector, after controlling for real wage rate and GDP per capita. Findings tend to suggest a negative relationship between the two. Technical efficiency index derived on the basis of the stochastic frontier function framework is also negatively affected by the import of technology. Without enhancing the knowledge relating to the mechanisms of exploiting the new technology acquired from abroad, a mere increase in import of technology would mean rising unutilized capacity. And this could be due to the poor skill base of the available human capital. Investment in human capital in terms of skill formation, up‐gradation, and training on the one hand and technological advancement to suit the internal labour market conditions are the two important policy conclusions for reviving the role of industry as the engine of pro‐poor growth.     

Pedagogy and Activism – Do the Two Mix? A Dialogue on Social Justice and Its Place in The Classroom

In this introductory essay, I reflect on the connection between pedagogy and activism and introduce the three contributors to this special section on the topic. More specifically, I chart key points in the history of sociology in the West asking readers to consider whether sociology has ever been value-free. In the process, I invoke sociologists who thought it essential for integration of sociological thought and practice (albeit not necessarily in the form of activism), ponder the meaning of science and think about the meaning of an education in sociology. As part of the discussion, I also present my position on sociology, pedagogy, and activism.     

Cultural adaptations in psychosocial interventions for post-traumatic stress disorder among refugees: A systematic review

ABSTRACT

The aim of this study was to systematically review randomized controlled trials on non-pharmaceutical interventions for post-traumatic stress disorder (PTSD) among adult refugees with a focus on identifying common cultural adaptations and reviewing possible effects of such adaptations on outcomes. The conducted systematic search yielded 11 studies. The strongest support was for eye movement desensitization and reprocessing (EMDR). Commonly used cultural adaptations in the reviewed studies included modifications in personnel and setting context, changes in content, and translation or adaptation of evaluation tools.     

M-estimator-based robust estimation of the number of components of a superimposed sinusoidal signal model

In this paper, we consider the problem of estimating the number of components of a superimposed nonlinear sinusoids model of a signal in the presence of additive noise. We propose and provide a detailed empirical comparison of robust methods for estimation of the number of components. The proposed methods, which are robust modifications of the commonly used information theoretic criteria, are based on various M-estimator approaches and are robust with respect to outliers present in the data and heavy-tailed noise. The proposed methods are compared with the usual non-robust methods through extensive simulations under varied model scenarios. We also present real signal analysis of two speech signals to show the usefulness of the proposed methodology.     

Economic Growth,Health and Poverty: An Exploratory Study for India

This article analyses the possible links between economic growth, poverty and health, using panel data for the Indian states. The findings indicate that, though growth tends to reduce poverty, significant improvements in health status are also necessary for poverty to decrease. Also, economic growth and health status are positively correlated and have a two‐way relationship, suggesting that better health enhances growth by improving productivity, and higher growth allows better human capital formation. Health expenditure is an important determinant of both higher growth and better health status, and is therefore a key tool available to policy‐makers. Among other exogenous variables, literacy and industrialisation seem to improve both health outcomes and growth, and to reduce poverty.     

On approximate least squares estimators of parameters of one-dimensional chirp signal

Chirp signals are quite common in many natural and man-made systems such as audio signals, sonar, and radar. Estimation of the unknown parameters of a signal is a fundamental problem in statistical signal processing. Recently, Kundu and Nandi [Parameter estimation of chirp signals in presence of stationary noise. Stat Sin. 2008;75:187–201] studied the asymptotic properties of least squares estimators (LSEs) of the unknown parameters of a simple chirp signal model under the assumption of stationary noise. In this paper, we propose periodogram-type estimators called the approximate least squares estimators (ALSEs) to estimate the unknown parameters and study the asymptotic properties of these estimators under the same error assumptions. It is observed that the ALSEs are strongly consistent and asymptotically equivalent to the LSEs. Similar to the periodogram estimators, these estimators can also be used as initial guesses to find the LSEs of the unknown parameters. We perform some numerical simulations to see the performance of the proposed estimators and compare them with the LSEs and the estimators proposed by Lahiri et al. [Efficient algorithm for estimating the parameters of two dimensional chirp signal. Sankhya B. 2013;75(1):65–89]. We have analysed two real data sets for illustrative purposes.     

PARTIES,POLITICS, AND REGULATION: EVIDENCE FROM CLEAN AIR ACT ENFORCEMENT

Does local Federal regulation respond to the preferences of local Congressional representatives? For example, do Republican Congressmen reduce local enforcement of Clean Air laws in their districts? We use facility‐level panel data on Clean Air Act inspections over 1989–2005 to study the causal effect of a Congressman's party affiliation on local enforcement. Random assignment of electoral outcomes is obtained with a Regression Discontinuity design. We find that new Republican (vs. Democratic) Representatives significantly depress inspection rates for local polluting facilities in the first year after their election. (JEL D73, Q52, Q53)     

On Estimating the Expectation of Life at Old Ages: Reply to Professor Coale

In 1758, an article containing the view that resources limit population growth was published in Copenhagen. This paper gives a short presentation of the author Otto Diderich Lütken's life and literary production. His radical views on the question of population are given, and a comparison is made with the theories of Thomas Robert Malthus. A brief account of his views on other economic issues is also presented. The literature concerning his writings is reviewed. A discussion of who influenced him, and of his influence on others, ends this paper.     

Some Further Issues Concerning Likelihood Inference for Left Truncated and Right Censored Lognormal Data

The maximum likelihood estimates (MLEs) of the parameters of a two-parameter lognormal distribution with left truncation and right censoring are developed through the Expectation Maximization (EM) algorithm. For comparative purpose, the MLEs are also obtained by the Newton–Raphson method. The asymptotic variance-covariance matrix of the MLEs is obtained by using the missing information principle, under the EM framework. Then, using asymptotic normality of the MLEs, asymptotic confidence intervals for the parameters are constructed. Asymptotic confidence intervals are also obtained using the estimated variance of the MLEs by the observed information matrix, and by using parametric bootstrap technique. Different confidence intervals are then compared in terms of coverage probabilities, through a Monte Carlo simulation study. A prediction problem concerning the future lifetime of a right censored unit is also considered. A numerical example is given to illustrate all the inferential methods developed here.