Descending price multi-item auctions

We propose a simultaneous descending price auction mechanism to sell multiple heterogeneous items, each owned by a distinct seller, to a number of buyers. Each buyer has known private valuations on items, and wants at most one item. We show that if the sellers follow a descending price offer procedure and the buyers follow a greedy strategy for accepting the offers, the auction results in a nearly efficient allocation, and terminates close to a competitive equilibrium price vector. The descending price offer strategy of the sellers is close to a Nash equilibrium. However, we show that the buyers are better off waiting in our auction. There is a maximum limit (corresponding to the minimum competitive equilibrium price vector) till which they can wait without running into the risk of not winning any item. If the buyers wait within this limit, the prices can be brought arbitrarily close to a uniquely defined competitive equilibrium price vector.     

Economic Implications of WTO Negotiations on Non‐agricultural Market Access

The economic implications of current WTO negotiations are likely to be far reaching. The World Bank and UNCTAD estimate annual global gains in agriculture and non‐agricultural products (including fish) of about $70−150 billion each under various scenarios and technical assumptions. Liberalising trade in services could be even more important, especially if agreement were reached to facilitate the temporary movement of labour (Mode 4 under the General Agreement on Trade in Services, GATS). Some qualifications, however, are in order. First, gains are likely to be spread unevenly across countries and across sectors; and, second, short‐term adjustment costs might precede long‐term gains. Much depends on how ambitious liberalisation is and on policies to facilitate adjustment. This paper examines the Doha mandate in non‐agricultural market access (NAMA) and the current state of the WTO negotiations, in particular some key proposals being considered at the December 2005 Ministerial Meeting in Hong Kong. We analyse various scenarios and their implications for trade, welfare, output, employment, revenues and preferences, as well as the distributional effects across countries and sectors. We note possible adjustment problems related to balance of payments and structural adjustment, as well as revenue and preference losses. These suggest the need for ‘aid for trade’ to help developing countries realise gains possible from WTO negotiations.     

Models of world food supply,demand and nutrition

Computer simulation of the world problematique offers a policy maker an interesting opportunity to see the dynamics of relationships within and between the global subsystems of which food and agriculture is one. The four major modelling studies reviewed in this article make assumptions about the possible level of food supply, technological and economic impacts on production, ecological consequences, and social and political factors influencing demand. Following their analysis of agricultural data inputs in all these areas, the authors discuss the type of policy measures likely to be recommended on the basis of global modelling.     

Bayesian multi-resolution spatial analysis with applications to marketing

Marketing researchers have become increasingly interested in spatial datasets. A main challenge of analyzing spatial data is that researchers must a priori choose the size and make-up of the areal units, hence the resolution of the analysis. Analyzing the data at a resolution that is too high may mask ??macro?? patterns, while analyzing the data at a resolution that is too low may result in aggregation bias. Thus, ideally marketing researchers would want a ??data-driven?? method to determine the ??optimal?? resolution of analysis, and at the same time automatically explore the same dataset under different resolutions, to obtain a full set of empirical insights to help with managerial decision making. In this paper, we propose a new approach for multi-resolution spatial analysis that is based on Bayesian model selection. We demonstrate our method using two recent marketing datasets from published studies: (i) the Netgrocer spatial sales data in Bell and Song (Quantitative Marketing and Economics 5:361?C400, 2007), and (ii) the Pathtracker^? data in Hui et al. (Marketing Science 28:566?C572, 2009b; Journal of Consumer Research 36:478?C493, 2009c) that track shoppers?? in-store movements. In both cases, our method allows researchers to not only automatically select the resolution of the analysis, but also analyze the data under different resolutions to understand the variation in insights and robustness to the level of aggregation.     

Buy Local! Familiarity and Preferences for Extra Virgin Olive Oil of Italian Consumers

Over the last few years, the origin of the local product has played a central role in consumer choices. This study explores what Italian consumers want and look for when purchasing olive oil by combining a web-based survey and a perceived analysis technique. In particular, preferences for different olive oil attributes as well as the psychographic traits of respondents were revealed through a web-based questionnaire administered to Italian consumers (N = 179). From this questionnaire, respondents who indicated their availability to participate further underwent a preference test under blind conditions (N = 99). Respondents also did an expectation test based on the visual observation of the labels. Results showed that the majority of consumers considered local production, PDO and region as factors of highest importance in determining olive oil quality.