The seller's listing strategy in online auctions: Evidence from eBay

被引：4
|
作者：
Chen, Kong-Pin [1 ]
Lai, Hung-pin [1 ,2 ]
Yu, Ya-Ting [1 ]
机构：
[1] Acad Sinica, Res Ctr Humanities & Social Sci, Taipei, Taiwan
[2] Natl Chung Cheng Univ, Dept Econ, Minxiong, Taiwan
来源：
INTERNATIONAL JOURNAL OF INDUSTRIAL ORGANIZATION | 2018年 / 56卷
关键词：
Online auction; Listing strategy; Auction outcome; Endogeneity; Special regressor; Counterfactual analysis; STRUCTURAL MODEL; RESERVE PRICES; POSTED-PRICE; BUY; BEHAVIOR; DETERMINANTS; EQUIVALENCE; COMPETITION; REPUTATION; MECHANISM;
D O I：
10.1016/j.ijindorg.2017.11.003
中图分类号：
F [经济];
学科分类号：
02 ;
摘要：
This paper studies the seller's online listing strategy and its consequences. By focusing on the fixed-price posting, buy-itnow auction and regular auction, we empirically investigate how the sellers choose the listing format and its associated strategic instruments to better understand their strategic behavior. An empirical model that addresses plausible concerns about sample selection bias and endogeneity is constructed to capture a seller's strategic behavior and examine how auction outcomes are related to this behavior. Based on the estimated model, we then conduct a counterfactual analysis. We find a tradeoffbetween the expected revenue and sale duration for the three listing formats. (C) 2017 Elsevier B.V. All rights reserved.
引用
收藏
页码：107 / 144
页数：38
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