We investigate the role of dynamic production inputs and their associated adjustment costs in shaping the dispersion of static measures of capital misallocation within industries ðand countriesÞ. Across nine data sets spanning 40 countries, we find that industries exhibiting greater time-series volatility of productivity have greater cross-sectional dispersion of the marginal revenue product of capital. We use a standard investment model with adjustment costs to show that variation in the volatility of productivity across these industries and economies can explain a large share ð80-90 percentÞ of the cross-industry ðand cross-countryÞ variation in the dispersion of the marginal revenue product of capital.
This paper studies scoring auctions, a procedure commonly used to buy di¤erentiated products:suppliers submit o¤ers on all dimensions of the good (price, level of non monetary attributes), and these are evaluated using a scoring rule. We provide a systematic analysis of equilibrium behavior in scoring auctions when suppliers' private information is multidimensional (characterization of equilibrium behavior and expected utility equivalence). In addition, we show that scoring auctions dominate several other commonly used procedures for buying di¤erenti-ated products, including menu auctions, beauty contests and price-only auctions with minimum quality thresholds.
When bidders in an auction collude-and, thus, reduce competitive bidding pressure-the resulting cartel is known as a "bidding ring." A ring can take many forms. An extensive theoretical literature exists that explores optimal ways to organize ring activity, given the form of target auction that the ring is seeking to exploit (see, for example, Daniel Graham and Robert Marshall 1987;R. Preston McAfee and John McMillan 1992; Andzrej Skryzypacz and Hugo Hopenhayn 2004; and Kenneth Hendricks, Robert Porter, and Guofu Tan 2003). Empirical work on ring activity has tended to focus on issues of ring detection (see Joseph E. Harrington Jr. 2008 for a survey). The detection of collusion and the determination of damages rely on drawing distinctions between market conduct with, and without, an active ring. Hence, understanding the practicalities of ring conduct is central to this endeavor. This paper contributes to this understanding by documenting and analyzing the conduct of a ring in the market for collectible stamps in North America that lasted for over 15 years.The data used in this study comprise a record of the ring's activities for an entire year, including sidepayments, detailed bidding behavior in the internal "knockout" auction that the ring used to coordinate its activities, and data on the associated "target" auctions. These data are, as far as I am aware, unique.1 In addition to providing documentation of the way that this long-running ring operated and the practical problems that it faced, these data allow an assessment of the damages that the ring imposed, who suffered the damages, the extent to which market ef ciency was compromised, and by how much the ring bene ted from its operation.The results emphasize three aspects of ring conduct. First, the internal coordinating mechanisms employed by a ring can lead to inef cient market allocations, even in an English target 1 The closest comprehensive dataset of which I am aware are the nancial records of a drug dealing organization analyzed by Steven Levitt and Sudhir Venkatesh (2000). A Study of the Internal Organization of a Bidding Cartel
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.