2007
DOI: 10.2139/ssrn.995855
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Social Influence and Consumption: Evidence from the Automobile Purchases of Neighbors

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Cited by 25 publications
(28 citation statements)
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“…The economic aspirations and spending decisions of American households are shaped by forces operating at diverse levels of aggregation, from media depictions at the national level (Chao & Schor, 1998;Pugh, 2009) to peer influences at the neighborhood level (Luttmer, 2005;Banerjee & Duflo, 2007;Grinblatt, Keloharju, & Ikäheimo, 2008). Metropolitan statistical areas (MSAs) are especially well suited for studying effects of income structure because they are more socioeconomically heterogeneous than typical residential neighborhoods but still define areas within which significant spatial mobilityand therefore interpersonal exchange -occurs.…”
Section: Why Compare Metropolitan Areas?mentioning
confidence: 99%
“…The economic aspirations and spending decisions of American households are shaped by forces operating at diverse levels of aggregation, from media depictions at the national level (Chao & Schor, 1998;Pugh, 2009) to peer influences at the neighborhood level (Luttmer, 2005;Banerjee & Duflo, 2007;Grinblatt, Keloharju, & Ikäheimo, 2008). Metropolitan statistical areas (MSAs) are especially well suited for studying effects of income structure because they are more socioeconomically heterogeneous than typical residential neighborhoods but still define areas within which significant spatial mobilityand therefore interpersonal exchange -occurs.…”
Section: Why Compare Metropolitan Areas?mentioning
confidence: 99%
“…We suspect that this distinction (negative-zero) would drive the existence of a negative effect of CSA information for the former, but a null effect for the latter. Moreover, there may be other ways for customers to reduce uncertainty regarding product fit, such as looking to role models, expert opinions, or geographic and/or group membership (Godes and Ofek 2004, Bell and Song 2007, Grinblatt et al 2008, Duflo and Saez 2003. Inclusion of such information may potentially lead to somewhat different interactions.…”
mentioning
confidence: 99%
“…However, the effects on winning households' immediate neighbors are even larger: increasing the probability that neighbors will buy a car in the next half year by nearly 7%, and reducing the average age of their principal cars by 7%. Grinblatt et al (2008) also study car purchases, using high-quality, daily data with comprehensive coverage of Finland's two most-populated provinces, containing precise geographic location, car puchase information (including make and model), as well as a large number of control variables. Their econometric methodology concentrates on estimating the marginal effect on a household of the car purchases of its ten nearest neighbors, using more distant neighbors as an instrument for omitted control variables.…”
Section: Peer Effects Literaturementioning
confidence: 99%