Determinants of India’s Exports

The objective of this paper is to examine the key determinants of India’s exports. The estimated equations show that the two variables influencing India’s export demand are the real effective exchange rate and world exports. The time trend variable which was introduced to take care of the stationarity problem and India’s GDP which is a proxy for availability also are statistically significant. Equations were also estimated at a disaggregated level of commodity groups. The article also focuses on measuring the relative contribution of the variables. For this, a new methodology is proposed. World exports which emerges as the dominant variable is however exogenous to Indian policy makers. This leaves nominal exchange rate as the tool available to policy makers. In the market determination of exchange rate, besides current account deficit, capital flows also play an important part. There is need to moderate the impact of large capital inflows on exchange rate through appropriate intervention so long as we continue to have current account deficit. An appreciating currency will erode the competitiveness of exports. Truly speaking, the critical factor is not so much exchange rate as competitiveness. In this context, maintaining domestic price stability and improving the productivity, particularly of the traded goods sector are equally important.

     

Credit conditions and recoveries from financial crises

Recoveries from recessions associated with a financial crisis tend to be sluggish. In this paper, we present evidence that stressed credit conditions are an important factor constraining the pace of recovery. In particular, using industry-level data, we find that industries relying more on external finance grow more slowly than other industries during recoveries from recessions associated with financial crises. Additional tests, based on establishment size, on alternative definitions of financial crises, and on corporate-government interest rate spreads, support the findings. Moreover, for subsets of industries where financial frictions are more severe, we find much stronger differential growth effects.     

Integrating distributed work: comparing task design,communication, and tacit coordination mechanisms

We investigate coordination strategies in integrating distributed work. In the context of Business Process Offshoring (BPO), we analyze survey data from 126 offshored processes to understand both the sources of difficulty in integrating distributed work as well as how organizations overcome these difficulties. We find that interdependence between offshored and onshore processes can lower offshored process performance, and investing in coordination mechanisms can ameliorate the performance impact of interdependence. In particular, we outline a distinctive set of coordination mechanisms that rely on tacit coordination—and theoretically articulate and empirically show that tacit coordination mechanisms are distinct from the well‐known duo of coordination strategies: building communication channels or modularizing processes to minimize the need for communication. We discuss implications for the study of coordination in organizations. Copyright © 2010 John Wiley & Sons, Ltd.     

Variations in ownership behavior and propensity to diversify: a study of the Indian corporate context

The relationship between ownership and diversification has been the focus of renewed debate between financial economists and strategic management scholars. While financial economists hold that manager‐controlled firms tend to reflect higher levels of diversification, strategy researchers argue that ownership and diversification are not systematically related. In throwing light on this debate, this study uses a fine‐grained definition of ownership groups to explore how the different objectives and monitoring predispositions of distinct ownership groups might influence diversification strategy. The empirical examination is set in India to offer a striking contrast from the predominantly U.S.‐based studies that have shaped the ongoing debate. Findings show that diverse ownership groups adopt different postures in monitoring and/or influencing organizational diversification. While some ownership groups are closely associated with focused strategies, and some encourage diversification, others are quite indifferent. These results suggest that the context‐specific variation among ownership groups is germane to our understanding of diversification strategy. Copyright © 2002 John Wiley & Sons, Ltd.     

Who Drives Unrelated Diversification? A Study of Indian Manufacturing Firms

This paper builds on recent research that focuses on the context-specific nature of diversification and the impact of organizational ownership on the choice of diversification strategy. Set in the Indian manufacturing sector, it compares the influence of institutional investors and banks against the influence of CEOs and boards on unrelated diversification. Results show that (a) external constituents collectively have more influence on unrelated diversification than CEOs and boards, (b) institutional investors tend to discourage unrelated diversification, but banks are quite supportive of such moves, and (c) corporate governance constituents other than foreign directors do not have a statistically significant influence on unrelated diversification strategies.     

The structure of information networks

We develop a strategic model of information acquisition in networks where agents pay for all the pieces of information they acquire, including those through indirect links. The cost of information depends on the distance it traverses in the network. We consider two possibilities in this context: (1) costs increasing with distance, and (2) costs decreasing with distance. The paper also examines situations where it is more expensive to acquire information of higher value. We show that there is almost no divergence between the efficient and Nash equilibrium information architectures. We then study the effect of decay in networks where information through longer paths is cheaper. Finally, we also examine a model with costly link formation that combines both types of cost related assumptionsWe are grateful to Hans Haller, Rob Gilles, Susanne Maria Schmidt, Sumit Joshi, Georg Erber, Beth Allen, Mark Machina, Bob Martin, Johanna Francis, Cheryl Long, Raja Kali, Kaz Miyagiwa, Micheal Kosfeld, Bibhudutta Panda and two anonymous referees for helpful suggestions. The paper has further benefited from the comments of participants at Game Theory and Applications Mumbai 2003, Royal Economic Society Meetings 2003, SED 2004 and GAMES 2004. Sudipta Sarangi acknowledges the hospitality of DIW Berlin where a part of this research was carried out. Rajgopal Kannan acknowledges the support of NSF grants IIS-0329738 and IIS-0312632     

The impact of household level heterogeneity in reference price effects on optimal retailer pricing policies

The field of marketing has witnessed substantial improvement in modeling household level heterogeneity. However, relatively little has been written about how modeling household heterogeneity translates into better marketing decisions. In this paper, we study the impact of household level heterogeneity in reference price effects on a retailer's pricing policy. Reference prices are certain anchors or standards that households use to compare the observed purchase price of a product against. If the observed price is greater than the reference price it is perceived as a “loss” and if it is smaller than the reference price it is perceived as a “gain”. In order to study the impact of heterogeneity in reference price effects on retail pricing, we test a nested logit model under two alternative reference price (memory and stimulus based) and heterogeneity (finite mixture and hierarchical Bayes) specifications. In the empirical analysis, we find that households are quite heterogeneous in terms of their gain and loss effects. For some households a gain has higher impact than a corresponding loss, while the opposite is true for others. Using individual level estimates we then develop a normative pricing policy for a retailer maximizing category profit. Our results indicate that the optimal pricing policy derived from the heterogeneous case is qualitatively different, and more profitable, than the case when heterogeneity is ignored. We show that for an important marketing problem pertaining to a retailer, the optimal pricing decisions for various brands in a category are inextricably related to household heterogeneity in reference effects and brand preference.     

On the optimal number of advertising slots in a generalized second-price auction

In search advertising, a search engine uses a generalized second-price auction to sell advertising slots adjacent to search results on its webpage. In this paper, we study an interesting question related to the design of the generalized second-price auction: how should a search engine strategically decide on the number of advertising slots? To answer this question, we analyze the implication of varying the number of slots in a base model in which the click-through rates are assumed to be independent of the number of slots. When deciding the number of slots, we find that a search engine’s profit is based on two counteracting factors: the incremental clicks from an extra slot and the influence of the extra slot on advertisers’ payments per click. Our analysis characterizes the conditions for optimality of the number of slots and the implications of different distributions for advertiser valuations. We also extend the base model to allow for attraction and cannibalization of clicks from existing slots by new ad slots and show how such effects affect the optimal number of slots. Our overall results show that search engines need to optimize the number of ad slots offered for auction in order to maximize profit.