Is post-smoking-cessation weight-gain a significant trigger for relapse?

While the Surgeon General's Consumer Guide lists weight-gain as an important relapse trigger, the 2001 Surgeon General's Report on Women and Smoking concludes, paradoxically, that actual weight-gain during cessation does not appear to predict relapse. This dichotomous view reflects longstanding scientific uncertainty about the role of weight-gain in triggering relapse. This scientific uncertainty, which stems from mixed clinical trial results, is problematic for insurance coverage decisions such as state Medicaid programme decisions to cover or exclude smoking-cessation and weight-control pharmaceuticals. Analysts hypothesize that selection bias may explain the inconsistency between the negative clinical results and the persistent view that weight-gain triggers relapse, if weight-concern is both a key determinant of the transition from ‘smoker’ to ‘ex-smoker,’ and a key moderating variable in the relationship between weight-gain and relapse. We therefore use the nationally representative 1997 National Longitudinal Survey of Youth (NLSY97) to test the relapse-trigger hypothesis, and conclude that post-smoking-cessation weight-gain triggers relapse among weight-concerned white women, but it is associated with quitting success among Hispanic women. In addition, our results do not support the hypothesis that the mixed clinical trial results reflect selection bias based on weight-concern.     

Estimation under two stage random permutation models

Summary Estimation of the population mean under assumptions of non-informativeness of labels in a two stage finite population of distinguishable units has been studied. Under the random permutation model, for the two stage set up, sample mean, the natural estimator, is found to be the best.     

On sequential comparisons of means of first-order autoregressive models

The problem of estimating a linear combination,μ, of means ofp-independent, first-order autoregressive models is considered. Sequential procedures are derived (i) to estimateμ pointwise using the linear combination of sample means, subject to a loss function (squared error plus cost per observation), and (ii) to arrive at a fixed-width confidence interval forμ. It is observed that in the case of point estimation we do not require a sampling scheme, where as in the case of interval estimation we do require a sampling scheme and a scheme similar to the one given in Mukhopadhyay and Liberman (1989) is proposed. All the first order efficiency properties of the sequential procedures involved here are derived. This paper is an extension of results of Sriram (1987) involving one time series to multiple time series. Research supported by AFOSR Grant number 89-0225.     

Asymptotic considerations for selecting the best component of a multivariate normal population

Summary Several two-stage and sequential procedures have been developed for selecting the best component in a multivariate normal population through the classical indifference zone approach ofBechhofer. The works inMukhopadhyay/Chou will constitute to be very basic in this regard. A number of first-order and second-order asymptotic analysis of these procedures has also been reported. In the case of a bivariate population, the normality assumption has been dropped, and the rate of convergence of the probability of correct selection is studied.     

Growth Convergence and Regional Inequality in India (1981–2012)

There has been significant research effort to study the impact of liberalisation on growth and distribution in India. Using per capita income (PCI) data for the period 1981–82 to 2012–13 (28 regions for the entire period and 31 regions for 2001–2 to 2012–13) at the sub-national level in India we examine the claims of divergence and stratification (twin peak formation) as has been claimed in some of the recent literature. We confirm that there is divergence of PCI. We present the first set of tests of multimodality in the Indian convergence debate using Silverman (J R Stat Soc 43:97–99, 1981; Density estimation for statistics and data analysis. Monographs on statistics and applied probability, Chapman & Hall, London, 1986) procedure. Weighted kernel density plots and multi-modal tests reveal that there is emergence of “multi-modes” in the distribution of PCI, not just twin modes. The spatial pattern of growth reflects an area of stagnation in the eastern-central belt—Bihar, Madhya Pradesh, Uttar Pradesh and Orissa, and in the north eastern part of India—Assam and Manipur and a decline in Mizoram. Sikkim demonstrates fastest growth, whereas Gujarat, Haryana, Kerala, Maharashtra, Punjab, Tamil Nadu (among the big states) and Himachal Pradesh, and Andaman and Nicobar (small state and Union Territories) maintained their position. Karnataka, and Andhra Pradesh (among the southern states), Arunachal Pradesh and Nagaland (among the north eastern states) along with Jammu and Kashmir, Uttarakhand and Chhattisgarh, moved up in the growth ladder. The continuation of growth stagnation in most of the BIMARU states poses a challenge to received theories of growth convergence and raises developmental concerns that the increased play of market forces in the Indian economy have not been able to overcome.

     

Subaltern Urbanization: Indian Insights for Urban Theory

The concept of subaltern urbanization is about vibrant smaller settlements—outside the metropolitan shadow—sustainably supporting a dispersed pattern of urbanization. We propose a theoretical framework which draws on an empirical research collective using both large statistical and land-use data sets and detailed case studies in non-metropolitan Indian geographies. Anchored in postcolonial urban studies, it looks beyond the logic of agglomeration and questions our understanding of settlement hierarchies and the location of social and economic innovation processes, opening up an alternative reading of urbanization that could be valuable for other regions. Local agency is core to this concept, transporting the arguments of the ordinary and the subaltern beyond large cities. Our findings, apart from emphasizing the agency of smaller settlements, highlight their multiple local and translocal flows, shaping an autonomous external engagement that could exist independently of relationships with large cities. Further, even though the rural and the urban seep into each other, they do so organically, unlike the process in planetary urbanization. Additionally, the rural-urban dichotomy remains performative, in that governance regimes influence the urbanization process. Appreciation of these dynamics can provide insights towards a better understanding of the system of human settlements, which is our goal in advancing this framework.     

INFLOW OF FOREIGN CAPITAL AND TRADE LIBERALIZATION IN A MODEL WITH AN INFORMAL SECTOR AND URBAN UNEMPLOYMENT

Abstract.  The paper has made an attempt to analyse the effects of liberalized trade and investment policies on welfare and open unemployment in a developing economy in terms of a three sector Harris-Todaro type general equilibrium model. Following empirical evidence it is assumed that there is wage rigidity in urban sectors, which leads to the simultaneous existence of open unemployment and an urban informal sector in the migration equilibrium. The paper deserves special attention for its interesting results which are completely opposite to those generated by the standard Harris-Todaro model.     

Simultaneous estimation after selection and ranking and other procedures: The negative exponential case

We considerk (≥2) independent negative exponential populations with unknown location parameters and unknown but equal scale parameter. We incorporate the existing purely sequential and three-stage sampling procedures for selecting the “best” population and study the asymptotic second-order characteristics of the proposed fixed-size simultaneous confidence regions for the location parameters constructed after selection and ranking. Some direct estimation procedures have also been discussed.