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“Cargo tariffs are agreed through the IATA machinery, and in theory approved by governments….the IATA Tarff Coordination Conferences still agree cargo tariffs on over 200,000 separate routes. But these tariffs bear little relevance to what is actually charged in the marketplace.” (Doganis, 2002)

“The stipulations ICAO standards contain never supersede the primacy of national regulatory requirements. It is always the local, national regulations which are enforced in, and by, sovereign states, and which must be legally adhered to by air operators making use of applicable airspace and airports……ICAO is therefore not an international aviation regulator, just as INTERPOL is not an international police force. We cannot arbitrarily close or restrict a country's airspace, shut down routes, or condemn airports or airlines for poor safety performance or customer service. Should a country transgress a given international standard adopted through our organization, ICAO's function in such circumstances…….is to help countries conduct any discussions, condemnations, sanctions, etc., they may wish to pursue, consistent with the Chicago Convention and the Articles and Annexes it contains under international law.” (ICAO, 2021)

In spite of being a growing liberalized global industry served by many firms, much of the international air cargo sector operated as an admitted cartel from 1999 through 2006. Partly due to the way the cartel was discovered, it seems very little empirical analysis to date has been done about the case. We use publicly available airline data to examine whether a diligent antitrust authority could have identified cartel/collusive behavior using established empirical methods. Our findings point to a regulatory failure in an industry whose long-standing business practices effectively “slipped through the cracks,” failing to protect the many shippers of air cargo.

This paper surveys published economic studies and judicial decisions that contain 1,040 quantitative estimates of overcharges of hard-core cartels. The primary finding is that the median long-run overcharge for all types of cartels over all time periods is 25.0%:18.8% for domestic cartels and 31.0% for international cartels. Cartel overcharges are positively skewed, pushing the mean overcharge for all successful cartels to 43.4%. Convicted cartels are on average as equally effective at raising prices as unpunished cartels, but bid-rigging conduct does display somewhat lower mark-ups than price-fixing cartels. These findings suggest that optimal deterrence requires that monetary penalties ought to be increased.

This paper explores the nature and causes of the cartel compliance crisis that befell the National Industrial Recovery Act (NIRA) one year after its passage in 1933. We employ a simple game-theoretic model of the NIRA's cartel enforcement mechanism to show that the compliance crisis can largely be explained by changes in expectations, rather than a change in enforcement policy. Specifically, firms initially overestimated the probability that defection would be met with sanction by the cartel's enabling body, the National Recovery Administration – including a consumer boycott resulting from loss of the patriotic Blue Eagle emblem – and complied with the industry cartel rules. As these expectations were correctly adjusted downward, cartel compliance was lost. We support this hypothesis empirically with industry-level panel data showing how output and wage rates varied according to consumer confidence in the Blue Eagle. The analysis provides insight about cartel performance more generally.

Many jurisdictions fine illegal cartels using penalty guidelines that presume an arbitrary 10% overcharge. This article surveys more than 700 published economic studies and judicial decisions that contain 2,041 quantitative estimates of overcharges of hard-core cartels. The primary findings are: (1) the median average long-run overcharge for all types of cartels over all time periods is 23.0%; (2) the mean average is at least 49%; (3) overcharges reached their zenith in 1891–1945 and have trended downward ever since; (4) 6% of the cartel episodes are zero; (5) median overcharges of international-membership cartels are 38% higher than those of domestic cartels; (6) convicted cartels are on average 19% more effective at raising prices as unpunished cartels; (7) bid-rigging conduct displays 25% lower markups than price-fixing cartels; (8) contemporary cartels targeted by class actions have higher overcharges; and (9) when cartels operate at peak effectiveness, price changes are 60–80% higher than the whole episode. Historical penalty guidelines aimed at optimally deterring cartels are likely to be too low.

This paper gives a model of collusion formation and a method of measuring the degree of it among the traders/bidders in the agricultural commodity markets in India. The important assumption is that the bidding is repetitive with a set of common bidders. The theory has been derived based on the behavior of the wholesale market of agricultural commodities in India. The paper is based on full information in the collusion formation. The paper first derives the theoretical structure of the bidders' behavior and thereafter derives a measure of collusion formation with the help of real-life data.

The paper used the standard theory of optimization and the theory of auction and probability statistics.

This is a complete information model of cartel formation. The bidding is repetitive and continues forever in discrete time. Hence bidders behavior is observable. Using the proposed method, if the APMC measures for each market and publishes on a periodic basis, say weekly basis, then it will be easier to break the collusion in the market where relative collision is present. For example, if a farmer has three options to sell in three different markets, then the published data would help them to select the market where the degree of collusion is relatively lower. Moreover, the undesirable loss can be avoided based on the right choice of market. As a result, transaction costs will be optima.

The paper first derives the theoretical structure of the bidders' behavior and thereafter derives a measure of collusion formation with the help of real-life data.