Process and context in choice models

被引:49
作者
Ben-Akiva, Moshe [1 ]
de Palma, Andre [2 ]
McFadden, Daniel [3 ]
Abou-Zeid, Maya [4 ]
Chiappori, Pierre-Andre [5 ]
de Lapparent, Matthieu [6 ]
Durlauf, Steven N. [7 ]
Fosgerau, Mogens [8 ]
Fukuda, Daisuke [9 ]
Hess, Stephane [10 ]
Manski, Charles [11 ]
Pakes, Ariel [12 ]
Picard, Nathalie [13 ]
Walker, Joan [14 ]
机构
[1] MIT, Cambridge, MA 02139 USA
[2] Ecole Normale Super, F-94235 Cachan, France
[3] Univ Calif Berkeley, Berkeley, CA 94720 USA
[4] Amer Univ Beirut, Beirut 11072020, Lebanon
[5] Columbia Univ, New York, NY 10027 USA
[6] Inst Francais Sci & Technol Transports Amenagemen, F-93166 Noisy Le Grand, France
[7] Univ Wisconsin Madison, Dept Econ, Madison, WI 53706 USA
[8] Tech Univ Denmark, DK-2800 Lyngby, Denmark
[9] Tokyo Inst Technol, Meguro Ku, Tokyo 1528552, Japan
[10] Univ Leeds, Inst Transport Studies, Leeds LS2 9JT, W Yorkshire, England
[11] Northwestern Univ, Evanston, IL 60208 USA
[12] Harvard Univ, Dept Econ, Cambridge, MA 02138 USA
[13] Univ Cergy Pontoise, F-95011 Cergy Pontoise, France
[14] Univ Calif Berkeley, Berkeley, CA 94720 USA
基金
美国国家科学基金会;
关键词
Decision making process; Context; Social networks; Econometric models; Subjective data; DISCRETE-CHOICE; DECISION; IDENTIFICATION; BEHAVIOR; MARKET; EXPECTATIONS; RISK;
D O I
10.1007/s11002-012-9180-7
中图分类号
F [经济];
学科分类号
02 ;
摘要
We develop a general framework that extends choice models by including an explicit representation of the process and context of decision making. Process refers to the steps involved in decision making. Context refers to factors affecting the process, focusing in this paper on social networks. The extended choice framework includes more behavioral richness through the explicit representation of the planning process preceding an action and its dynamics and the effects of context (family, friends, and market) on the process leading to a choice, as well as the inclusion of new types of subjective data in choice models. We discuss the key issues involved in applying the extended framework, focusing on richer data requirements, theories, and models, and present three partial demonstrations of the proposed framework. Future research challenges include the development of more comprehensive empirical tests of the extended modeling framework.
引用
收藏
页码:439 / 456
页数:18
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