The Dominance of Retail Stores

Most items are sold to consumers by retail stores. Stores have two features that distinguish them from auctions. First, the price is posted and a consumer who values the good at more than the posted price is sold the good. Second, the sale takes place as soon as the consumer decides to buy. In contrast, auctions have prices that are determined ex post and the potential consumer must wait until the auction is held to buy the good. Consequently, auctions result in false trading', where buyers sometimes pass up other valuable opportunities while waiting for the auction to occur or instead make undesired duplicate purchases. Retail stores dominate auctions when the good is perishable and/or becomes obsolete quickly, when the market is thin, and when close substitutes for the good are plentiful. These predictions are consistent with a number of observed phenomena.

An Empirical Study of Corruption in Ports

We generate an original dataset on bribe payments at two competing ports in Southern Africa that allows us to take an unusually close look at the relationship between bureaucratic organization, bribe-setting behavior and the costs corruption imposes on users of public services. We find that the way bureaucracies are organized can generate different opportunities for bureaucrats to engage in "collusive" or "coercive" types of corruption. We then observe how firms adjust their shipping and sourcing strategies in response to different types of corruption. "Collusive" corruption is cost-reducing for firms, increasing usage of the corrupt port, while "coercive" corruption is cost-increasing, reducing demand for port services. Our findings therefore suggest that firms respond to the opportunities and challenges created by different types of corruption, organizing production in a way that increases or decreases demand for the public service.Corruption; Transport; Trade Costs; Firm Behavior

Internet Auctions: Description, Bidders' Profiles and Implications

The increasing quantity of items bough and sold over the internet led to the success of internet auctions, to the introduction of new auction rules and the creation of new businesses and merger among existing ones. In this paper, we present a description of existing internet auction rules and typical profile of consumers who use them. We found that bidders are most likely located in the U.S., have some internet experience and skills and that they belong to the 26-50 years old age group. We also discuss the implication of online auctions on resource allocation.Internet Auctions, Online Auctions

Corruption and firm behavior

This paper investigates how corruption affects firrm behavior. Firms can engage in two types of corruption when seeking a public service: cost-reducing "collusive" corruption and cost increasing "coercive" corruption. Using an original and unusually rich dataset on bribe payments at ports matched to firrm-level data, we observe how firms respond to each type of corruption by adjusting their shipping and sourcing strategies. "Collusive" corruption is associated with higher usage of the corrupt port, while "coercive" corruption is associated with reduced demand for port services. Our results suggest that firms respond to the opportunities and challenges created by different types of corruption, organizing production in a way that increases or decreases demand for the public service. Understanding how firms respond to corruption has important implications for how we conceptualize, identify and measure the overall impact of corruption on economic activity

Multi-Agent Systems

This Special Issue ""Multi-Agent Systems"" gathers original research articles reporting results on the steadily growing area of agent-oriented computing and multi-agent systems technologies. After more than 20 years of academic research on multi-agent systems (MASs), in fact, agent-oriented models and technologies have been promoted as the most suitable candidates for the design and development of distributed and intelligent applications in complex and dynamic environments. With respect to both their quality and range, the papers in this Special Issue already represent a meaningful sample of the most recent advancements in the field of agent-oriented models and technologies. In particular, the 17 contributions cover agent-based modeling and simulation, situated multi-agent systems, socio-technical multi-agent systems, and semantic technologies applied to multi-agent systems. In fact, it is surprising to witness how such a limited portion of MAS research already highlights the most relevant usage of agent-based models and technologies, as well as their most appreciated characteristics. We are thus confident that the readers of Applied Sciences will be able to appreciate the growing role that MASs will play in the design and development of the next generation of complex intelligent systems. This Special Issue has been converted into a yearly series, for which a new call for papers is already available at the Applied Sciences journal’s website: https://www.mdpi.com/journal/applsci/special_issues/Multi-Agent_Systems_2019

Theory of price formation in experimental markets

In this context statement I will overview joint theoretical work on competitive market price formation inspired by our reappraisal of experimental market findings and the classics of value theory

Reverse Auction in Pricing Model

Dynamic price discrimination adjusts prices based on the option value of future sales, which varies with time and units available. This paper surveys the theoretical literature on dynamic price discrimination, and confronts the theories with new data from airline pricing behavior, Consider a multiple booking class airline-seat inventory control problem that relates to either a single flight leg or to multiple flight legs. During the time before the flight, the airline may face the problems of (1) what are the suitable prices for the opened booking classes, and (2) when to close those opened booking classes. This work deals with these two problems by only using the pricing policy. In this paper, a dynamic pricing model is developed in which the demand for tickets is modeled as a discrete time stochastic process. An important result of this work is that the strategy for the ticket booking policy can be reduced to sets of critical decision periods, which eliminates the need for large amounts of data storage

U.S. Consumers' Willingness to Pay for Flavor and Tenderness in Steaks as Determined with an Experimental Auction

In a study of beef quality, consumers tasted steak samples and participated in an experimental auction to determine their willingness to pay. Steaks differed in marbling, tenderness, country of origin, and aging method. Marbling and tenderness had statistically significant impacts on consumers' palatability ratings for steaks. Tenderness significantly impacted consumers' willingness-to pay values. There appear to be threshold levels of marbling and tenderness, below which consumers discount steaks. Steaks from Australia were rated lower for overall acceptability, and bids were lower than for the U.S. steak samples. Dry-aging methods negatively impacted taste panel ratings and bids.beef, country of origin, experimental auctions, marbling, tenderness, Consumer/Household Economics,