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Détail de l'auteur
Auteur Xiaoquan (Michael) Zhang
Documents disponibles écrits par cet auteur
Affiner la rechercheCyclical bid adjustments in search-engine advertising / Xiaoquan (Michael) Zhang in Management science, Vol. 57 N° 9 (Septembre 2011)
[article]
in Management science > Vol. 57 N° 9 (Septembre 2011) . - pp. 1703-1719
Titre : Cyclical bid adjustments in search-engine advertising Type de document : texte imprimé Auteurs : Xiaoquan (Michael) Zhang, Auteur ; Juan Feng, Auteur Année de publication : 2011 Article en page(s) : pp. 1703-1719 Note générale : Management Langues : Anglais (eng) Mots-clés : Bid adjustment Edgeworth cycle Keyword auction Index. décimale : 658 Organisation des entreprises. Techniques du commerce Résumé : Keyword advertising, or sponsored search, is one of the most successful advertising models on the Internet. One distinctive feature of keyword auctions is that they enable advertisers to adjust their bids and rankings dynamically, and the payoffs are realized in real time. We capture this unique feature with a dynamic model and identify an equilibrium bidding strategy. We find that under certain conditions, advertisers may engage in cyclical bid adjustments, and equilibrium bidding prices may follow a cyclical pattern: price-escalating phases interrupted by price-collapsing phases, similar to an “Edgeworth cycle” in the context of dynamic price competitions. Such cyclical bidding patterns can take place in both first- and second-price auctions. We obtain two data sets containing detailed bidding records of all advertisers for a sample of keywords in two leading search engines. Our empirical framework, based on a Markov switching regression model, suggests the existence of such cyclical bidding strategies. The cyclical bid-updating behavior we find cannot be easily explained with static models. This paper emphasizes the importance of adopting a dynamic perspective in studying equilibrium outcomes of keyword auctions. DEWEY : 658 ISSN : 0025-1909 En ligne : http://mansci.journal.informs.org/content/57/9.toc [article] Cyclical bid adjustments in search-engine advertising [texte imprimé] / Xiaoquan (Michael) Zhang, Auteur ; Juan Feng, Auteur . - 2011 . - pp. 1703-1719.
Management
Langues : Anglais (eng)
in Management science > Vol. 57 N° 9 (Septembre 2011) . - pp. 1703-1719
Mots-clés : Bid adjustment Edgeworth cycle Keyword auction Index. décimale : 658 Organisation des entreprises. Techniques du commerce Résumé : Keyword advertising, or sponsored search, is one of the most successful advertising models on the Internet. One distinctive feature of keyword auctions is that they enable advertisers to adjust their bids and rankings dynamically, and the payoffs are realized in real time. We capture this unique feature with a dynamic model and identify an equilibrium bidding strategy. We find that under certain conditions, advertisers may engage in cyclical bid adjustments, and equilibrium bidding prices may follow a cyclical pattern: price-escalating phases interrupted by price-collapsing phases, similar to an “Edgeworth cycle” in the context of dynamic price competitions. Such cyclical bidding patterns can take place in both first- and second-price auctions. We obtain two data sets containing detailed bidding records of all advertisers for a sample of keywords in two leading search engines. Our empirical framework, based on a Markov switching regression model, suggests the existence of such cyclical bidding strategies. The cyclical bid-updating behavior we find cannot be easily explained with static models. This paper emphasizes the importance of adopting a dynamic perspective in studying equilibrium outcomes of keyword auctions. DEWEY : 658 ISSN : 0025-1909 En ligne : http://mansci.journal.informs.org/content/57/9.toc