Restrições a robôs em pregões eletrônicos: impactos nos leilões de café do Comprasnet

Autores

  • André Luís Menegatti Universidade de São Paulo. Faculdade de Economia, Administração e Contabilidade de Ribeirão Preto
  • Claudio Ribeiro Lucinda Universidade de São Paulo. Faculdade de Economia, Administração, Contabilidade e Atuária https://orcid.org/0000-0002-2190-9497

DOI:

https://doi.org/10.11606/1980-5330/ea184717

Palavras-chave:

diferenças em diferenças, lances automáticos, leilões

Resumo

O estudo analisa os impactos econômicos de duas regras que restringiram o uso de programas de computador para submissão automática de lances em pregões eletrônicos do Comprasnet. A “Regra dos 20s” impôs o intervalo mínimo de 20 segundos entre lances subsequentes de um mesmo fornecedor. A “Regra dos 3s” impôs o intervalo mínimo de 3 segundos para cobrir a melhor oferta. A Regra dos 3s teria causado um aumento de preços de aproximadamente 15%, correspondendo a um aumento de R$7,5 milhões nos gastos do Governo Federal com aquisição de café entre janeiro de 2014 e dezembro de 2015.

Downloads

Os dados de download ainda não estão disponíveis.

Referências

AKERLOF, George A. The market for “lemons”: Quality uncertainty and the market mechanism. In: uncertainty in Economics. Amsterdam: Elsevier, 1978. p. 235–251.

ANGRIST, Joshua D; PISCHKE, Jörn-Steffen. Mostly harmless econometrics: An empiricist’s companion. Princeton, NJ: Princeton University, 2008.

ANWAR, Sajid; MCMILLAN, Robert; ZHENG, Mingli. Bidding behavior in competing auctions: Evidence from eBay. European Economic Review, v. 50, n. 2, p. 307–322, 2006.

ARIELY, Dan; OCKENFELS, Axel; ROTH, Alvin E. An experimental analysis of ending rules in internet auctions. RAND Journal of Economics, p. 890–907, 2005.

ASHENFELTER, Orley. Estimating the effect of training programs on earnings. The Review of Economics and Statistics, p. 47–57, 1978.

ASIAN DEVELOPMENT BANK. E-Government Procurement Handbook. [S. l.: s. n.], 2013.

BACKUS, Matt et al. Is Sniping A Problem For Online Auction Markets? In: Proceedings of the 24th International Conference on World Wide Web. [S. l.: s. n.], 2015. p. 88–96.

BAJARI, Patrick; HORTACSU, Ali. The winner’s curse, reserve prices, and endogenous entry: Empirical insights from eBay auctions. RAND Journal of Economics, p. 329–355, 2003.

BERTRAND, Marianne; DUFLO, Esther; MULLAINATHAN, Sendhil. How much should we trust differences-in-differences estimates? The Quarterly Journal of Economics, v. 119, n. 1, p. 249–275, 2004.

BESLEY, Timothy; BURGESS, Robin. Can labor regulation hinder economic performance? Evidence from India. The Quarterly Journal of Economics, v. 119, n. 1, p. 91–134, 2004.

CAMERON, A Colin; TRIVEDI, Pravin K. Microeconometrics: methods and applications. Cambridge: Cambridge University, 2005.

CASSADY, Ralph. Auctions and auctioneering. [S. l.]: Univ of California Press, 1967.

CELIKTEMUR, Can; SZERMAN, Dimitri. Auctions with Random Ending Time. [S. l.], 2012.

CHIMELI, Ariaster B; SOARES, Rodrigo R. The use of violence in illegal markets: Evidence from mahogany trade in the Brazilian Amazon. American Economic Journal: Applied Economics, v. 9, n. 4, p. 30–57, 2017.

CUNNINGHAM, Scott. Causal inference: the mixtape. New Haven London: Yale University Press, 2021.

GLOVER, Brent; RAVIV, Yaron. Revenue non-equivalence between auctions with soft and hard closing mechanisms: New evidence from Yahoo! Journal of Economic Behavior & Organization, v. 81, n. 1, p. 129–136, 2012.

HANSEN, Benjamin; SABIA, Joseph J.; REES, Daniel I. Have cigarette taxes lost their bite? New estimates of the relationship between cigarette taxes and youth smoking. American Journal of Health Economics, v. 3, n. 1, p. 60–75, 2017.

HENDERSHOTT, Terrence; JONES, Charles M; MENKVELD, Albert J. Does algorithmic trading improve liquidity? The Journal of Finance, v. 66, n. 1, p. 1–33, 2011.

HENDRICKS, Kenneth; PAARSCH,Harry J. A survey of recent empirical work concerning auctions. Canadian Journal of Economics, p. 403–426, 1995.

HOLLAND, Paul W. Statistics and causal inference. Journal of the American Statistical Association, v. 81, n. 396, p. 945–960, 1986.

KAHN-LANG, Ariella; LANG, Kevin. The promise and pitfalls of differences-indifferences: Reflections on 16 and pregnant and other applications. Journal of Business & Economic Statistics, v. 38, n. 3, p. 613–620, 2020.

KLEMPERER, Paul. Auction theory: A guide to the literature. Journal of Economic Surveys, v. 13, n. 3, p. 227–286, 1999.

LAFFONT, Jean-Jacques. Game theory and empirical economics: The case of auction data. European Economic Review, v. 41, n. 1, p. 1–35, 1997.

LUCKING-REILEY, David. Auctions on the Internet:What’s being auctioned, and how? The Journal of Industrial Economics, v. 48, n. 3, p. 227–252, 2000.

MALAGA, R. et al. A new end-of-auction model for curbing sniping. Journal of the Operational Research Society, v. 61, n. 8, p. 1265–1272, 2010.

MEGIDDO, Nimrod. Smooth End of Auction on the Internet. [S. l.], 2000. Depositante: International Business Machines Corp. Titular atual: Google LLC. US-6665649-B1. Depósito: 10 de março de 2000. Concessão: 16 de dezembro de 2003. Expiração: 10 de março de 2020.

OCKENFELS, Axel; ROTH, Alvin E. The timing of bids in internet auctions: Market design, bidder behavior, and artificial agents. AI Magazine, v. 23, n. 3, p. 79–87, 2002.

OLIVEIRA, Alexandre Fernandes; FABREGAS MASLLOVET, Abdoulaye; FAZEKAS, Mihaly. Auction Length and Prices: Evidence from Random Auction Closing in Brazil. Washington, DC: World Bank, 2019. (Policy Research Working Paper 8828).

PATTEN, R. W. Tatworth candle auction. Folklore, v. 81, n. 2, p. 132–135, 1970.

RASMUSEN, Eric Bennett. Strategic implications of uncertainty over one’s own private value in auctions. Advances in Theoretical Economics, v. 6, n. 1, p. 1–22, 2006.

ROTH, Alvin E.; OCKENFELS, Axel. Last-minute bidding and the rules for ending second-price auctions: Evidence from eBay and Amazon auctions on the Internet. American Economic Review, v. 92, n. 4, p. 1093–1103, 2002.

RUBIN, Donald B. Estimating causal effects of treatments in randomized and nonrandomized studies. Journal of Educational Psychology, v. 66, n. 5, p. 688, 1974.

RYAN, Andrew M.; BURGESS JR, James F.; DIMICK, Justin B. Why we should not be indifferent to specification choices for difference-in-differences. Health Services Research, v. 50, n. 4, p. 1211–1235, 2015a.

RYAN, Andrew M.; BURGESS JR., James F.; DIMICK, Justin B. Why we should not be indifferent to specification choices for difference-in-differences. Health Services Research, v. 50, n. 4, p. 1211–1235, 2015b.

RYAN, Andrew M.; KONTOPANTELIS, Evangelos et al. Now trending: Coping with non-parallel trends in difference-in-differences analysis. Statistical Methods in Medical Research, v. 28, n. 12, p. 3697–3711, 2019.

TCU. Acórdão nº 2.601/2011. Plenário. Relator: Valmir Campelo. Brasília, 2011.

TREVATHAN, Jarrod; READ, Wayne. Disarming the bid sniper. Journal of Electronic Commerce Research, v. 12, n. 3, p. 176–186, 2011.

WANG, Joseph Tao-yi. Is last minute bidding bad? [S. l.: s. n.], 2006.

Downloads

Publicado

2024-06-01

Edição

Seção

Artigos

Como Citar

Menegatti, A. L., & Lucinda, C. R. (2024). Restrições a robôs em pregões eletrônicos: impactos nos leilões de café do Comprasnet. Economia Aplicada, 28(2), 219-256. https://doi.org/10.11606/1980-5330/ea184717

Dados de financiamento