Grain price stabilization in India: Evaluation of policy alternatives

Stabilization of prices is an important element of food policy in India as in most other countries — both developing and eveloped. However, since the magnitude of grain stocks held for this purpose as well as the costs of physical storage have become prohibitively high, there is now a need for finding cost-effective alternatives including non interventionist and market-oriented methods for price stabilization. In this paper we consider the case of rice and wheat which are staple foodgrains in India. We make a comparison between alternative price stabilization policies including that of holding buffer stocks in terms of their impact on domestic price stability, producer and consumer welfare and government costs. A multi-market equilibrium framework is used where private storage, consumption, supply and prices of rice and wheat are determined simultaneously. Indian exports and imports are assumed to affect world prices. The alternative price stabilizing mechanisms are ranked according to both the criteria, welfare and price stability achieved. The main findings are as follows. The ranking of alternatives varies with the criterion used. Greater price stability need not necessarily imply greater welfare. The option of variable levies on private external trade turns out to be the most inexpensive and that of domestic buffer stocks the costliest in achieving price stability. Further, the efficacy of buffer stocks and subsidy to private storage in stabilizing prices is lower under free trade as compared to the case where the economy is closed to private external trade.     

Customer loyalty in e-commerce: an exploration of its antecedents and consequences

This paper investigates the antecedents and consequences of customer loyalty in an online business-to-consumer (B2C) context. We identify eight factors (the 8Cs—customization, contact interactivity, care, community, convenience, cultivation, choice, and character) that potentially impact e-loyalty and develop scales to measure these factors. Data collected from 1,211 online customers demonstrate that all these factors, except convenience, impact e-loyalty. The data also reveal that e-loyalty has an impact on two customer-related outcomes: word-of- mouth promotion and willingness to pay more.     

Theory-Driven Choice Models

We explore issues in theory-driven choice modeling by focusing on partial-equilibrium models of dynamic structural demand with forward-looking decision-makers, full equilibrium models that integrate the supply side, integration of bounded rationality in dynamic structural models of choice and public policy implications of these models.     

Role of Forgetting in Memory-Based Choice Decisions: A Structural Model

We propose a structural model to investigate the impact of forgetting on consumers' brand choice decisions in frequently purchased products. Forgetting results in consumers imperfectly recalling their prior brand evaluations when making a purchase decision in the category. We conceptualize the imperfect recall by positing that consumers recall their prior evaluations with noise. Based on prior research in the behavioral area, we characterize the extent of forgetting as an increasing and concave function of time. Our framework generates analytical results on the impact of forgetting on consumers' brand evaluations and their consequent purchase behavior. We calibrate our model using scanner panel data for liquid detergents. Furthermore, we obtain insights into the consumers' extent of forgetting in the category, extent of learning, predicted price elasticities and implications on state dependence and habit persistence. Our results underscore the importance of modeling consumers' ability to recall only imperfectly.     

Market competition,earnings management,and persistence in accounting profitability around the world

We examine how cross-country differences in product, capital, and labor market competition, as well as earnings management affect mean reversion in accounting return on assets. Using a sample of 48,465 unique firms from 49 countries, we find that accounting returns mean revert faster in countries where there is more product and capital market competition, as predicted by economic theory. Country differences in labor market competition and earnings management are also related to mean reversion in accounting returns—but the relation varies with firm performance. Country labor competition increases mean reversion when unexpected returns are positive but slows it when unexpected returns are negative. Accounting returns in countries with higher earnings management mean revert more slowly for profitable firms and more rapidly for loss firms. Thus earnings management incentives to slow or speed up mean reversion in accounting returns are accentuated in countries where there is a high propensity for earnings management. Overall, these findings suggest that country factors explain mean reversion in accounting returns and are therefore relevant for firm valuation.     

Accountability of independent directors: Evidence from firms subject to securities litigation

We examine which independent directors are held accountable when investors sue firms for financial and disclosure-related fraud. Investors can name independent directors as defendants in lawsuits, and they can vote against their reelection to express displeasure over the directors’ ineffectiveness at monitoring managers. In a sample of securities class action lawsuits from 1996 to 2010, about 11% of independent directors are named as defendants. The likelihood of being named is greater for audit committee members and directors who sell stock during the class period. Named directors receive more negative recommendations from Institutional Shareholder Services, a proxy advisory firm, and significantly more negative votes from shareholders than directors in a benchmark sample. They are also more likely than other independent directors to leave sued firms. Overall, shareholders use litigation along with director elections and director retention to hold some independent directors more accountable than others when firms experience financial fraud.     

ExpertLens: A system for eliciting opinions from a large pool of non-collocated experts with diverse knowledge

The complexity of policy decision-making raises the need to elicit opinions from large and heterogeneous groups of stakeholders with broad and diverse sets of expertise. Existing options for elicitation include small face-to-face panels of experts by using the Nominal Group Technique (NGT), large Delphi panels whose members do not interact with each other face-to-face, and crowdsourcing, which involves an open call for input issued to a large community of people. In an attempt to close the gap between the practical needs of policy makers and the methodological challenges associated with eliciting opinions of large, diverse, and distributed groups, we have developed a new online elicitation system and methodology called ExpertLens. By optimizing the direct interactions of NGT with the larger number of Delphi participants and the wisdom of “selected crowds,” our approach is designed to save on the costs associated with traditional expert panels, while increasing accuracy in elicitation by reducing the potential for group process losses that can occur in large, diverse, and non-collocated panels whose members interact via asynchronous online discussion boards. The ExpertLens approach is iterative, does not require participants to develop consensus, and determines what the group “thinks” by statistically analyzing data collected in all rounds of the elicitation. This paper describes the ExpertLens system and methodology, briefly discusses recent ExpertLens trials, provides conceptual arguments for why it is an appropriate model for eliciting expert opinions, illustrates its main components and analytics by using an infrastructure investment example, and discusses a research agenda for testing the underlying tenets of the ExpertLens approach.     

Welfare Effects of Selected Food-grain Policies in India

Government's policy interventions in the market for food-grains affect supply as well as demand. In this paper, the welfare effects of certain food-grain policies are analysed while taking into account the interdependence of the various sectors in the economy. Adequate structure is built into the model in order to study the effects of a dual price structure on farmers' supply response, and also the effects of public distribution schemes on the aggregate demand for food-grains. Policy implications are derived by computing the market clearing prices and their movement under alternative assumptions regarding the nature of the market.