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Estimating demand for automobile ind...

Qin, Xiaonan.

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Estimating demand for automobile industry in the U.S. market: 2010 - 2013.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Estimating demand for automobile industry in the U.S. market: 2010 - 2013./
Author:	Qin, Xiaonan.
Description:	37 p.
Notes:	Source: Masters Abstracts International, Volume: 54-02.
Contained By:	Masters Abstracts International54-02(E).
Subject:	Economics. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1571464
ISBN:	9781321424362

Estimating demand for automobile industry in the U.S. market: 2010 - 2013.
Qin, Xiaonan.

Estimating demand for automobile industry in the U.S. market: 2010 - 2013. - 37 p.

Source: Masters Abstracts International, Volume: 54-02.

Thesis (M.A.)--Northeastern University, 2015.

By applying market-level data on quantities, prices and vehicle characteristics in the year of 2010 and 2013, I conduct an estimation of automobile demand in the U.S. market using the conditional logit and nested logit model. By testing and applying the instruments variables, I address the exogeneity problem of prices and within-group market share. The demand for cars and light trucks are both elastic. The nested logit regression indicates that models within the same group/nest are better substitutes than models across the group. The results imply that consumers prefer the efficient vehicles. However, the electric vehicles and low displacement vehicles are not preferred over high displacement fuel vehicles by consumers.

ISBN: 9781321424362Subjects--Topical Terms:

517137
Economics.

Estimating demand for automobile industry in the U.S. market: 2010 - 2013.
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100 1 $a Qin, Xiaonan. $3 3179324
245 1 0 $a Estimating demand for automobile industry in the U.S. market: 2010 - 2013.
300 $a 37 p.
500 $a Source: Masters Abstracts International, Volume: 54-02.
500 $a Advisers: Gustova Vincentini; Imke Reimers.
502 $a Thesis (M.A.)--Northeastern University, 2015.
520 $a By applying market-level data on quantities, prices and vehicle characteristics in the year of 2010 and 2013, I conduct an estimation of automobile demand in the U.S. market using the conditional logit and nested logit model. By testing and applying the instruments variables, I address the exogeneity problem of prices and within-group market share. The demand for cars and light trucks are both elastic. The nested logit regression indicates that models within the same group/nest are better substitutes than models across the group. The results imply that consumers prefer the efficient vehicles. However, the electric vehicles and low displacement vehicles are not preferred over high displacement fuel vehicles by consumers.
590 $a School code: 0160.
650 4 $a Economics. $3 517137
650 4 $a Economic theory. $3 1556984
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710 2 $a Northeastern University. $b Economics. $3 2098326
773 0 $t Masters Abstracts International $g 54-02(E).
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