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.     

The role of corporate social responsibility in strengthening multiple stakeholder relationships: A field experiment

This research relied on a field experiment involving a real-world instance of corporate philanthropy to shed light on both the scope and limitations of the strategic returns to corporate social responsibility (CSR). In particular, the authors demonstrate that the impact of CSR in the real world is not only less pervasive than has been previously acknowledged but also more multifaceted than has been previously conceptualized. The findings indicated that contingent on CSR awareness, which was rather low, stakeholders did react positively to the focal company not only in the consumption domain but in the employment and investment domains as well. Stakeholder attributions regarding the genuineness of the company’s motives moderated these effects. Sankar Sen (sankar_sen@baruch.cuny.edu) is a professor of marketing at the Zicklin School of Business, Baruch College, City University of New York. He received his Ph.D. in marketing in 1993 from the Wharton School, University of Pennsylvania. His research focuses on consumer decision making. He is interested, more specifically, in consumer reactions to company actions, particularly in the domain of CSR. His research has appeared inCalifornia Management Review, Journal of Consumer Research, Journal of Marketing, Journal of Marketing Research, Journal of Economic Theory, and others. C. B. Bhattacharya (cb@bu.edu) received his Ph.D. in marketing from the Wharton School of the University of Pennsylvania in 1993 and his M.B.A. from the Indian Institute of Management in 1984. Prior to joining Boston University, he was on the faculty at the Goizueta Business School, Emory University. His specific expertise is in the areas of customer retention and the roles of CSR and organizational identification in designing marketing strategy. He served on the editorial review board of theJournal of Marketing from 2002 to 2005 and has published in journals such as theJournal of Marketing Research, theJournal of Marketing, Journal of Applied Psychology, andOrganization Science. He speaks frequently at many academic and business forums and won the William Novelli Best Paper Award at the Social Marketing Conference in 1997. Dr. Bhattacharya received the 2001 Broderick Prize for Research Excellence at Boston University and the Emory Williams Distinguished Teaching Award in 1995, the highest teaching award at Emory University. He is also part of the select group of faculty members onBusiness Week’s Outstanding Faculty list. Prior to his Ph.D., he worked for 3 years as a product manager for Reckitt Benkiser PLC. He has consulted for organizations such as the Hitachi Corporation, Procter & Gamble Company, Bell South, The Prudential Bank, Information Resources Inc., Airwick Industries, Silo Inc., and the High Museum of Art. Daniel Korschun (danielk@bu.edu) is a doctoral candidate in marketing at Boston University. His current research interests include brand management, CSR, and interorganizational relationships.     

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.     

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.     

A risk-based decision support framework for selection of appropriate safety measure system for underground coal mines

In the context of underground coal mining industry, the increased economic issues regarding implementation of additional safety measure systems, along with growing public awareness to ensure high level of workers safety, have put great pressure on the managers towards finding the best solution to ensure safe as well as economically viable alternative selection. Risk-based decision support system plays an important role in finding such solutions amongst candidate alternatives with respect to multiple decision criteria. Therefore, in this paper, a unified risk-based decision-making methodology has been proposed for selecting an appropriate safety measure system in relation to an underground coal mining industry with respect to multiple risk criteria such as financial risk, operating risk, and maintenance risk. The proposed methodology uses interval-valued fuzzy set theory for modelling vagueness and subjectivity in the estimates of fuzzy risk ratings for making appropriate decision. The methodology is based on the aggregative fuzzy risk analysis and multi-criteria decision making. The selection decisions are made within the context of understanding the total integrated risk that is likely to incur while adapting the particular safety system alternative. Effectiveness of the proposed methodology has been validated through a real-time case study. The result in the context of final priority ranking is seemed fairly consistent.     

Optimal pricing strategy for livestock of fishery and poultry

The paper deals with a joint project of fishery and poultry while growth rates of both the species depend on the available nutrients and environmental carrying capacities of biomasses. The demand rates of both the species in the market vary with the selling prices and on-hand stock of the species. The existence of steady states and its stability (local and global) analysis are studied in details. The relevant profit of the project is maximized with the help of Pontryagin's Maximum Principle. The model is justified by a suitable numerical example.     

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.