Clicks, Discontinuities, and Firm Demand Online

被引：53

作者：

Baye, Michael R. ^{[1
]}

Gatti, J. Rupert J. ^{[2
]}

Kattuman, Paul ^{[3
]}

Morgan, John ^{[4
]}

机构：

[1] Indiana Univ, Dept Business Econ, Kelley Sch Business, Bloomington, IN 47405 USA

[2] Univ Cambridge Trinity Coll, Cambridge CB2 1TQ, England

[3] Univ Cambridge, Judge Business Sch, Cambridge CB2 1AG, England

[4] Univ Calif Berkeley, Yahoo & Haas Sch Business, Berkeley, CA 94720 USA

来源：

JOURNAL OF ECONOMICS & MANAGEMENT STRATEGY | 2009年 / 18卷 / 04期

关键词：

MAXIMUM-LIKELIHOOD METHODS; PRICE DISPERSION; CONSUMER SEARCH; INTERNET; MODEL; MARKETS; COMPETITION; INDUSTRY; NUMBER; IMPACT;

D O I：

10.1111/j.1530-9134.2009.00234.x

中图分类号：

F [经济];

学科分类号：

02 ;

摘要：

We exploit a unique dataset from a price comparison site to estimate the determinants of clicks received by online retailers. We find that a firm enjoys a 60% jump in its clicks when it offers the lowest price at the site, and failure to account for discontinuities distorts parameter estimates by nearly 100%. This discontinuity is consistent with a variety of models that have been used to rationalize online price dispersion. Finally, we show that one may use estimates of the determinants of a firm's clicks to obtain bounds on its underlying demand parameters, including standard elasticities of demand.

引用

页码：935 / 975

页数：41

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