Cultural Continuity and Change in Kakar's Works: Some Reflections

This article reviews the works of the well-known psychoanalyst, Sudhir Kakar, centering on the themes of cultural continuities and demographic change. Kakar's works span about three decades and represent sensitive psychoanalytical forays into Indian society and the interpretation of its various cultural processes. In this endeavor, Kakar's concern has been to understand the connection between the subjective imagination accessed mostly in psychoanalytical, clinical work and the cultural processes as manifested in myths and folklore, in popular arts and cinema, in the life histories of historical figures on the Indian firmament, and in the traditions of various systems of Hindu religious philosophy. He has been concerned about the modification of the very tool—the psychoanalytic sensibility (and the theory around it)—that he has so adeptly used, while acknowledging its limitations in creating links with phenomena such as mysticism and communal violence. I have tried to understand the processes of cultural continuity and change by focusing on various images of women and men represented in Kakar's work. Selection of these images is guided by the various expressions of desire, playfulness, the search for a political idiom with which to initiate and sustain cultural changes, etc., as represented by the characters in Kakar's analyses. Analyzing their implications for the issues at hand, a special emphasis is placed on the criticism of Kakar's work by Kurtz. The article concludes with a section on the traditional notion of individuality as it has evolved in selected works by Kakar and other Indian psychoanalytically-oriented authors.     

Inequalities for tail probabilities for the multivariate normal distribution

Inequalities for tail probabilities of the multivariate normal distribution are obtained, as a generalization of those given by Feller (1966). Upper and lower bounds are given in the equi-correlated case. For an arbitrary correlation matrix R, an upper bound is obtained, using a result of Slepian (1962) which asserts that certain multivariate normal probabilities are a non-decreasing function of correlations.     

Labor Supply by Farm Operators Under “Decoupled” Farm Program Payments

As part of 1996 legislation, the U.S. began paying farmers production flexibility contract payments designed to be somewhat decoupled from current production decisions. In the labor-leisure model, decoupled payments would be expected to only have a wealth effect, but coupled payments would be expected to have both a substitution and a wealth effect. In this paper, the impacts of the decoupled payments and other government payments on both farm and off-farm labor allocations for farm operators are considered using data from the Agricultural Resource Management Survey (ARMS). Results indicate that government payments tend to increase the hours operators work on their farm and decrease the hours they work off the farm. This is true whether the payments come from programs which tie payments to current year production, or not.JEL Classification: D13, J22, Q12, Q22The authors are agricultural economists with the Economic Research Service (USDA). The views expressed here do not necessarily represent the views of the U.S. Department of Agriculture.     

ANOVA models for Brownian motion

We investigate longitudinal models having Brownian-motion covariance structure. We show that any such model can be viewed as arising from a related “timeless” classical linear model where sample sizes correspond to longitudinal observation times. This relationship is of practical impact when there are closed-form ANOVA tables for the related classical model. Such tables can be directly transformed into the analogous tables for the original longitudinal model. We in particular provide complete results for one-way fixed and random effects ANOVA on the drift parameter in Brownian motion, and illustrate its use in estimating heterogeneity in tumor growth rates.     

Indian agricultural policy: An applied general equilibrium model

A ten-sector, sequential applied general equilibrium model is formulated, estimated, and stimulated for analyzing agricultural policy choices for India until year 2000. Ten groups of consumers (five of them rural), each with its own preferences and claims on output are recognized in the model, the groups distinguished by the range of their per capita household (real) consumption expenditure. The simulations compare: four policies with respect to the compulsory purchase and subsidized distribution to consumers of a limited amount of foodgrains and four foreign trade and aid scenarios. Procuring and freely distributing 100 kgs of grain per capita per year and financing the cost through additional taxation improves income distribution with no reduction in growth. On the other hand, the same distributional policy financed by reducing investment has a negative impact on growth.     

Effect of agricultural policy on succession decisions of farm households

Policymakers, economists, and researchers have recently been interested in assessing the impact of farm program payments on the growth and survival of farm businesses. Planning for succession is an integral part of managing a farm business. This study uses farm-level data to investigate the impact of government farm policy and farm growth on both succession decisions and the likelihood of intra-family transfers of the farm business. Results indicate that succession decisions are significantly influenced by government farm policy, farm wealth, age, and educational attainment of current farm operators. Results show that off-farm work by operators and spouses and regional location are positively correlated with non-family farm succession decisions. On the other hand, farm ownership, educational attainment, and marital status of the operator increase the likelihood of family-based succession decisions. However, in the presence of retirement income from other sources such as pension, parents are less likely to have a family successor.

Labor-use efficiency in Indian banking: A branch-level analysis

This paper uses data envelopment analysis to measure labor-use efficiency of individual branches of a large public sector bank with a sizable network of branches across India. We find considerable variation in the average levels of efficiency of bank branches across the four metropolitan regions considered in this study. In this context, we introduce the concept of area or spatial efficiency for each region relative to the nation as a whole. Our findings suggest that the policies, procedures, and incentives handed down from the corporate level cannot fully neutralize the detrimental influence of the local work culture across different regions. Most of the potential reduction in labor cost appears to be coming from possible downsizing in the clerical and subordinate staff. Our analysis identifies branches that operate at very low levels of labor-use efficiency and possible candidates for increased supervision and control.     

The Effectiveness of Decisional Guidance: An Empirical Evaluation

Decisional guidance is defined as how a decision support system (DSS) influences its users as they structure and execute the decision‐making process. It is assumed that decisional guidance has profound effects on decision making, but these effects are understudied and empirically unproven. This paper describes an empirical, laboratory‐experiment‐based evaluation of the effectiveness of deliberate decisional guidance and its four types. We developed and used a comprehensive model consisting of four evaluation criteria: decision quality, user satisfaction, user learning, and decision‐making efficiency. On these criteria, we compared decisional guidance versus no guidance, informative versus suggestive decisional guidance, and predefined versus dynamic decisional guidance. We found that deliberate decisional guidance was more effective on all four criteria; suggestive guidance was more effective in improving decision quality and user satisfaction, and informative guidance was more effective in user learning about the problem domain, whereas dynamic guidance was more effective than predefined guidance in improving decision quality and user learning; and both suggestive guidance and dynamic guidance reduced the decision time.