Vehicle choices, miles driven, and pollution policies
Abstract Mobile sources contribute large percentages of each pollutant, but technology is not yet available to measure and tax emissions from each vehicle. We build a behavioral model of household choices about vehicles and miles traveled. The ideal-but-unavailable emissions tax would encourage driv...
Ausführliche Beschreibung
Autor*in: |
Feng, Ye [verfasserIn] |
---|
Format: |
Artikel |
---|---|
Sprache: |
Englisch |
Erschienen: |
2013 |
---|
Schlagwörter: |
---|
Anmerkung: |
© Springer Science+Business Media New York 2013 |
---|
Übergeordnetes Werk: |
Enthalten in: Journal of regulatory economics - Springer US, 1989, 44(2013), 1 vom: 05. Mai, Seite 4-29 |
---|---|
Übergeordnetes Werk: |
volume:44 ; year:2013 ; number:1 ; day:05 ; month:05 ; pages:4-29 |
Links: |
---|
DOI / URN: |
10.1007/s11149-013-9221-z |
---|
Katalog-ID: |
OLC2048942172 |
---|
LEADER | 01000caa a22002652 4500 | ||
---|---|---|---|
001 | OLC2048942172 | ||
003 | DE-627 | ||
005 | 20230504023342.0 | ||
007 | tu | ||
008 | 200820s2013 xx ||||| 00| ||eng c | ||
024 | 7 | |a 10.1007/s11149-013-9221-z |2 doi | |
035 | |a (DE-627)OLC2048942172 | ||
035 | |a (DE-He213)s11149-013-9221-z-p | ||
040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
041 | |a eng | ||
082 | 0 | 4 | |a 330 |q VZ |
100 | 1 | |a Feng, Ye |e verfasserin |4 aut | |
245 | 1 | 0 | |a Vehicle choices, miles driven, and pollution policies |
264 | 1 | |c 2013 | |
336 | |a Text |b txt |2 rdacontent | ||
337 | |a ohne Hilfsmittel zu benutzen |b n |2 rdamedia | ||
338 | |a Band |b nc |2 rdacarrier | ||
500 | |a © Springer Science+Business Media New York 2013 | ||
520 | |a Abstract Mobile sources contribute large percentages of each pollutant, but technology is not yet available to measure and tax emissions from each vehicle. We build a behavioral model of household choices about vehicles and miles traveled. The ideal-but-unavailable emissions tax would encourage drivers to abate emissions through many behaviors, some of which involve market transactions that can be observed for feasible market incentives (such as a gas tax, subsidy to new cars, or tax by vehicle type). Our model can calculate behavioral effects of each such price and thus calculate car choices, miles, and emissions. A nested logit structure is used to model discrete choices among different vehicle bundles. We also consider continuous choices of miles driven and the age of each vehicle. We propose a consistent estimation method for both discrete and continuous demands in one step, to capture the interactive effects of simultaneous decisions. Results are compared with those of the traditional sequential estimation procedure. | ||
650 | 4 | |a Discrete choices | |
650 | 4 | |a Continuous demands | |
650 | 4 | |a Environmental incentives | |
700 | 1 | |a Fullerton, Don |4 aut | |
700 | 1 | |a Gan, Li |4 aut | |
773 | 0 | 8 | |i Enthalten in |t Journal of regulatory economics |d Springer US, 1989 |g 44(2013), 1 vom: 05. Mai, Seite 4-29 |w (DE-627)170221695 |w (DE-600)1027173-9 |w (DE-576)023101695 |x 0922-680X |7 nnns |
773 | 1 | 8 | |g volume:44 |g year:2013 |g number:1 |g day:05 |g month:05 |g pages:4-29 |
856 | 4 | 1 | |u https://doi.org/10.1007/s11149-013-9221-z |z lizenzpflichtig |3 Volltext |
912 | |a GBV_USEFLAG_A | ||
912 | |a SYSFLAG_A | ||
912 | |a GBV_OLC | ||
912 | |a SSG-OLC-WIW | ||
912 | |a GBV_ILN_26 | ||
912 | |a GBV_ILN_31 | ||
912 | |a GBV_ILN_2012 | ||
912 | |a GBV_ILN_4012 | ||
912 | |a GBV_ILN_4193 | ||
912 | |a GBV_ILN_4318 | ||
912 | |a GBV_ILN_4700 | ||
951 | |a AR | ||
952 | |d 44 |j 2013 |e 1 |b 05 |c 05 |h 4-29 |
author_variant |
y f yf d f df l g lg |
---|---|
matchkey_str |
article:0922680X:2013----::eilcocsiedieadol |
hierarchy_sort_str |
2013 |
publishDate |
2013 |
allfields |
10.1007/s11149-013-9221-z doi (DE-627)OLC2048942172 (DE-He213)s11149-013-9221-z-p DE-627 ger DE-627 rakwb eng 330 VZ Feng, Ye verfasserin aut Vehicle choices, miles driven, and pollution policies 2013 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media New York 2013 Abstract Mobile sources contribute large percentages of each pollutant, but technology is not yet available to measure and tax emissions from each vehicle. We build a behavioral model of household choices about vehicles and miles traveled. The ideal-but-unavailable emissions tax would encourage drivers to abate emissions through many behaviors, some of which involve market transactions that can be observed for feasible market incentives (such as a gas tax, subsidy to new cars, or tax by vehicle type). Our model can calculate behavioral effects of each such price and thus calculate car choices, miles, and emissions. A nested logit structure is used to model discrete choices among different vehicle bundles. We also consider continuous choices of miles driven and the age of each vehicle. We propose a consistent estimation method for both discrete and continuous demands in one step, to capture the interactive effects of simultaneous decisions. Results are compared with those of the traditional sequential estimation procedure. Discrete choices Continuous demands Environmental incentives Fullerton, Don aut Gan, Li aut Enthalten in Journal of regulatory economics Springer US, 1989 44(2013), 1 vom: 05. Mai, Seite 4-29 (DE-627)170221695 (DE-600)1027173-9 (DE-576)023101695 0922-680X nnns volume:44 year:2013 number:1 day:05 month:05 pages:4-29 https://doi.org/10.1007/s11149-013-9221-z lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-WIW GBV_ILN_26 GBV_ILN_31 GBV_ILN_2012 GBV_ILN_4012 GBV_ILN_4193 GBV_ILN_4318 GBV_ILN_4700 AR 44 2013 1 05 05 4-29 |
spelling |
10.1007/s11149-013-9221-z doi (DE-627)OLC2048942172 (DE-He213)s11149-013-9221-z-p DE-627 ger DE-627 rakwb eng 330 VZ Feng, Ye verfasserin aut Vehicle choices, miles driven, and pollution policies 2013 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media New York 2013 Abstract Mobile sources contribute large percentages of each pollutant, but technology is not yet available to measure and tax emissions from each vehicle. We build a behavioral model of household choices about vehicles and miles traveled. The ideal-but-unavailable emissions tax would encourage drivers to abate emissions through many behaviors, some of which involve market transactions that can be observed for feasible market incentives (such as a gas tax, subsidy to new cars, or tax by vehicle type). Our model can calculate behavioral effects of each such price and thus calculate car choices, miles, and emissions. A nested logit structure is used to model discrete choices among different vehicle bundles. We also consider continuous choices of miles driven and the age of each vehicle. We propose a consistent estimation method for both discrete and continuous demands in one step, to capture the interactive effects of simultaneous decisions. Results are compared with those of the traditional sequential estimation procedure. Discrete choices Continuous demands Environmental incentives Fullerton, Don aut Gan, Li aut Enthalten in Journal of regulatory economics Springer US, 1989 44(2013), 1 vom: 05. Mai, Seite 4-29 (DE-627)170221695 (DE-600)1027173-9 (DE-576)023101695 0922-680X nnns volume:44 year:2013 number:1 day:05 month:05 pages:4-29 https://doi.org/10.1007/s11149-013-9221-z lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-WIW GBV_ILN_26 GBV_ILN_31 GBV_ILN_2012 GBV_ILN_4012 GBV_ILN_4193 GBV_ILN_4318 GBV_ILN_4700 AR 44 2013 1 05 05 4-29 |
allfields_unstemmed |
10.1007/s11149-013-9221-z doi (DE-627)OLC2048942172 (DE-He213)s11149-013-9221-z-p DE-627 ger DE-627 rakwb eng 330 VZ Feng, Ye verfasserin aut Vehicle choices, miles driven, and pollution policies 2013 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media New York 2013 Abstract Mobile sources contribute large percentages of each pollutant, but technology is not yet available to measure and tax emissions from each vehicle. We build a behavioral model of household choices about vehicles and miles traveled. The ideal-but-unavailable emissions tax would encourage drivers to abate emissions through many behaviors, some of which involve market transactions that can be observed for feasible market incentives (such as a gas tax, subsidy to new cars, or tax by vehicle type). Our model can calculate behavioral effects of each such price and thus calculate car choices, miles, and emissions. A nested logit structure is used to model discrete choices among different vehicle bundles. We also consider continuous choices of miles driven and the age of each vehicle. We propose a consistent estimation method for both discrete and continuous demands in one step, to capture the interactive effects of simultaneous decisions. Results are compared with those of the traditional sequential estimation procedure. Discrete choices Continuous demands Environmental incentives Fullerton, Don aut Gan, Li aut Enthalten in Journal of regulatory economics Springer US, 1989 44(2013), 1 vom: 05. Mai, Seite 4-29 (DE-627)170221695 (DE-600)1027173-9 (DE-576)023101695 0922-680X nnns volume:44 year:2013 number:1 day:05 month:05 pages:4-29 https://doi.org/10.1007/s11149-013-9221-z lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-WIW GBV_ILN_26 GBV_ILN_31 GBV_ILN_2012 GBV_ILN_4012 GBV_ILN_4193 GBV_ILN_4318 GBV_ILN_4700 AR 44 2013 1 05 05 4-29 |
allfieldsGer |
10.1007/s11149-013-9221-z doi (DE-627)OLC2048942172 (DE-He213)s11149-013-9221-z-p DE-627 ger DE-627 rakwb eng 330 VZ Feng, Ye verfasserin aut Vehicle choices, miles driven, and pollution policies 2013 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media New York 2013 Abstract Mobile sources contribute large percentages of each pollutant, but technology is not yet available to measure and tax emissions from each vehicle. We build a behavioral model of household choices about vehicles and miles traveled. The ideal-but-unavailable emissions tax would encourage drivers to abate emissions through many behaviors, some of which involve market transactions that can be observed for feasible market incentives (such as a gas tax, subsidy to new cars, or tax by vehicle type). Our model can calculate behavioral effects of each such price and thus calculate car choices, miles, and emissions. A nested logit structure is used to model discrete choices among different vehicle bundles. We also consider continuous choices of miles driven and the age of each vehicle. We propose a consistent estimation method for both discrete and continuous demands in one step, to capture the interactive effects of simultaneous decisions. Results are compared with those of the traditional sequential estimation procedure. Discrete choices Continuous demands Environmental incentives Fullerton, Don aut Gan, Li aut Enthalten in Journal of regulatory economics Springer US, 1989 44(2013), 1 vom: 05. Mai, Seite 4-29 (DE-627)170221695 (DE-600)1027173-9 (DE-576)023101695 0922-680X nnns volume:44 year:2013 number:1 day:05 month:05 pages:4-29 https://doi.org/10.1007/s11149-013-9221-z lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-WIW GBV_ILN_26 GBV_ILN_31 GBV_ILN_2012 GBV_ILN_4012 GBV_ILN_4193 GBV_ILN_4318 GBV_ILN_4700 AR 44 2013 1 05 05 4-29 |
allfieldsSound |
10.1007/s11149-013-9221-z doi (DE-627)OLC2048942172 (DE-He213)s11149-013-9221-z-p DE-627 ger DE-627 rakwb eng 330 VZ Feng, Ye verfasserin aut Vehicle choices, miles driven, and pollution policies 2013 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media New York 2013 Abstract Mobile sources contribute large percentages of each pollutant, but technology is not yet available to measure and tax emissions from each vehicle. We build a behavioral model of household choices about vehicles and miles traveled. The ideal-but-unavailable emissions tax would encourage drivers to abate emissions through many behaviors, some of which involve market transactions that can be observed for feasible market incentives (such as a gas tax, subsidy to new cars, or tax by vehicle type). Our model can calculate behavioral effects of each such price and thus calculate car choices, miles, and emissions. A nested logit structure is used to model discrete choices among different vehicle bundles. We also consider continuous choices of miles driven and the age of each vehicle. We propose a consistent estimation method for both discrete and continuous demands in one step, to capture the interactive effects of simultaneous decisions. Results are compared with those of the traditional sequential estimation procedure. Discrete choices Continuous demands Environmental incentives Fullerton, Don aut Gan, Li aut Enthalten in Journal of regulatory economics Springer US, 1989 44(2013), 1 vom: 05. Mai, Seite 4-29 (DE-627)170221695 (DE-600)1027173-9 (DE-576)023101695 0922-680X nnns volume:44 year:2013 number:1 day:05 month:05 pages:4-29 https://doi.org/10.1007/s11149-013-9221-z lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-WIW GBV_ILN_26 GBV_ILN_31 GBV_ILN_2012 GBV_ILN_4012 GBV_ILN_4193 GBV_ILN_4318 GBV_ILN_4700 AR 44 2013 1 05 05 4-29 |
language |
English |
source |
Enthalten in Journal of regulatory economics 44(2013), 1 vom: 05. Mai, Seite 4-29 volume:44 year:2013 number:1 day:05 month:05 pages:4-29 |
sourceStr |
Enthalten in Journal of regulatory economics 44(2013), 1 vom: 05. Mai, Seite 4-29 volume:44 year:2013 number:1 day:05 month:05 pages:4-29 |
format_phy_str_mv |
Article |
institution |
findex.gbv.de |
topic_facet |
Discrete choices Continuous demands Environmental incentives |
dewey-raw |
330 |
isfreeaccess_bool |
false |
container_title |
Journal of regulatory economics |
authorswithroles_txt_mv |
Feng, Ye @@aut@@ Fullerton, Don @@aut@@ Gan, Li @@aut@@ |
publishDateDaySort_date |
2013-05-05T00:00:00Z |
hierarchy_top_id |
170221695 |
dewey-sort |
3330 |
id |
OLC2048942172 |
language_de |
englisch |
fullrecord |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">OLC2048942172</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230504023342.0</controlfield><controlfield tag="007">tu</controlfield><controlfield tag="008">200820s2013 xx ||||| 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/s11149-013-9221-z</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)OLC2048942172</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-He213)s11149-013-9221-z-p</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">330</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Feng, Ye</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Vehicle choices, miles driven, and pollution policies</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2013</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">ohne Hilfsmittel zu benutzen</subfield><subfield code="b">n</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Band</subfield><subfield code="b">nc</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">© Springer Science+Business Media New York 2013</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract Mobile sources contribute large percentages of each pollutant, but technology is not yet available to measure and tax emissions from each vehicle. We build a behavioral model of household choices about vehicles and miles traveled. The ideal-but-unavailable emissions tax would encourage drivers to abate emissions through many behaviors, some of which involve market transactions that can be observed for feasible market incentives (such as a gas tax, subsidy to new cars, or tax by vehicle type). Our model can calculate behavioral effects of each such price and thus calculate car choices, miles, and emissions. A nested logit structure is used to model discrete choices among different vehicle bundles. We also consider continuous choices of miles driven and the age of each vehicle. We propose a consistent estimation method for both discrete and continuous demands in one step, to capture the interactive effects of simultaneous decisions. Results are compared with those of the traditional sequential estimation procedure.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Discrete choices</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Continuous demands</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Environmental incentives</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Fullerton, Don</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Gan, Li</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Journal of regulatory economics</subfield><subfield code="d">Springer US, 1989</subfield><subfield code="g">44(2013), 1 vom: 05. Mai, Seite 4-29</subfield><subfield code="w">(DE-627)170221695</subfield><subfield code="w">(DE-600)1027173-9</subfield><subfield code="w">(DE-576)023101695</subfield><subfield code="x">0922-680X</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:44</subfield><subfield code="g">year:2013</subfield><subfield code="g">number:1</subfield><subfield code="g">day:05</subfield><subfield code="g">month:05</subfield><subfield code="g">pages:4-29</subfield></datafield><datafield tag="856" ind1="4" ind2="1"><subfield code="u">https://doi.org/10.1007/s11149-013-9221-z</subfield><subfield code="z">lizenzpflichtig</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_OLC</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-WIW</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_26</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_31</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2012</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4012</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4193</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4318</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4700</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">44</subfield><subfield code="j">2013</subfield><subfield code="e">1</subfield><subfield code="b">05</subfield><subfield code="c">05</subfield><subfield code="h">4-29</subfield></datafield></record></collection>
|
author |
Feng, Ye |
spellingShingle |
Feng, Ye ddc 330 misc Discrete choices misc Continuous demands misc Environmental incentives Vehicle choices, miles driven, and pollution policies |
authorStr |
Feng, Ye |
ppnlink_with_tag_str_mv |
@@773@@(DE-627)170221695 |
format |
Article |
dewey-ones |
330 - Economics |
delete_txt_mv |
keep |
author_role |
aut aut aut |
collection |
OLC |
remote_str |
false |
illustrated |
Not Illustrated |
issn |
0922-680X |
topic_title |
330 VZ Vehicle choices, miles driven, and pollution policies Discrete choices Continuous demands Environmental incentives |
topic |
ddc 330 misc Discrete choices misc Continuous demands misc Environmental incentives |
topic_unstemmed |
ddc 330 misc Discrete choices misc Continuous demands misc Environmental incentives |
topic_browse |
ddc 330 misc Discrete choices misc Continuous demands misc Environmental incentives |
format_facet |
Aufsätze Gedruckte Aufsätze |
format_main_str_mv |
Text Zeitschrift/Artikel |
carriertype_str_mv |
nc |
hierarchy_parent_title |
Journal of regulatory economics |
hierarchy_parent_id |
170221695 |
dewey-tens |
330 - Economics |
hierarchy_top_title |
Journal of regulatory economics |
isfreeaccess_txt |
false |
familylinks_str_mv |
(DE-627)170221695 (DE-600)1027173-9 (DE-576)023101695 |
title |
Vehicle choices, miles driven, and pollution policies |
ctrlnum |
(DE-627)OLC2048942172 (DE-He213)s11149-013-9221-z-p |
title_full |
Vehicle choices, miles driven, and pollution policies |
author_sort |
Feng, Ye |
journal |
Journal of regulatory economics |
journalStr |
Journal of regulatory economics |
lang_code |
eng |
isOA_bool |
false |
dewey-hundreds |
300 - Social sciences |
recordtype |
marc |
publishDateSort |
2013 |
contenttype_str_mv |
txt |
container_start_page |
4 |
author_browse |
Feng, Ye Fullerton, Don Gan, Li |
container_volume |
44 |
class |
330 VZ |
format_se |
Aufsätze |
author-letter |
Feng, Ye |
doi_str_mv |
10.1007/s11149-013-9221-z |
dewey-full |
330 |
title_sort |
vehicle choices, miles driven, and pollution policies |
title_auth |
Vehicle choices, miles driven, and pollution policies |
abstract |
Abstract Mobile sources contribute large percentages of each pollutant, but technology is not yet available to measure and tax emissions from each vehicle. We build a behavioral model of household choices about vehicles and miles traveled. The ideal-but-unavailable emissions tax would encourage drivers to abate emissions through many behaviors, some of which involve market transactions that can be observed for feasible market incentives (such as a gas tax, subsidy to new cars, or tax by vehicle type). Our model can calculate behavioral effects of each such price and thus calculate car choices, miles, and emissions. A nested logit structure is used to model discrete choices among different vehicle bundles. We also consider continuous choices of miles driven and the age of each vehicle. We propose a consistent estimation method for both discrete and continuous demands in one step, to capture the interactive effects of simultaneous decisions. Results are compared with those of the traditional sequential estimation procedure. © Springer Science+Business Media New York 2013 |
abstractGer |
Abstract Mobile sources contribute large percentages of each pollutant, but technology is not yet available to measure and tax emissions from each vehicle. We build a behavioral model of household choices about vehicles and miles traveled. The ideal-but-unavailable emissions tax would encourage drivers to abate emissions through many behaviors, some of which involve market transactions that can be observed for feasible market incentives (such as a gas tax, subsidy to new cars, or tax by vehicle type). Our model can calculate behavioral effects of each such price and thus calculate car choices, miles, and emissions. A nested logit structure is used to model discrete choices among different vehicle bundles. We also consider continuous choices of miles driven and the age of each vehicle. We propose a consistent estimation method for both discrete and continuous demands in one step, to capture the interactive effects of simultaneous decisions. Results are compared with those of the traditional sequential estimation procedure. © Springer Science+Business Media New York 2013 |
abstract_unstemmed |
Abstract Mobile sources contribute large percentages of each pollutant, but technology is not yet available to measure and tax emissions from each vehicle. We build a behavioral model of household choices about vehicles and miles traveled. The ideal-but-unavailable emissions tax would encourage drivers to abate emissions through many behaviors, some of which involve market transactions that can be observed for feasible market incentives (such as a gas tax, subsidy to new cars, or tax by vehicle type). Our model can calculate behavioral effects of each such price and thus calculate car choices, miles, and emissions. A nested logit structure is used to model discrete choices among different vehicle bundles. We also consider continuous choices of miles driven and the age of each vehicle. We propose a consistent estimation method for both discrete and continuous demands in one step, to capture the interactive effects of simultaneous decisions. Results are compared with those of the traditional sequential estimation procedure. © Springer Science+Business Media New York 2013 |
collection_details |
GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-WIW GBV_ILN_26 GBV_ILN_31 GBV_ILN_2012 GBV_ILN_4012 GBV_ILN_4193 GBV_ILN_4318 GBV_ILN_4700 |
container_issue |
1 |
title_short |
Vehicle choices, miles driven, and pollution policies |
url |
https://doi.org/10.1007/s11149-013-9221-z |
remote_bool |
false |
author2 |
Fullerton, Don Gan, Li |
author2Str |
Fullerton, Don Gan, Li |
ppnlink |
170221695 |
mediatype_str_mv |
n |
isOA_txt |
false |
hochschulschrift_bool |
false |
doi_str |
10.1007/s11149-013-9221-z |
up_date |
2024-07-03T20:50:53.211Z |
_version_ |
1803592509120577536 |
fullrecord_marcxml |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">OLC2048942172</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230504023342.0</controlfield><controlfield tag="007">tu</controlfield><controlfield tag="008">200820s2013 xx ||||| 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/s11149-013-9221-z</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)OLC2048942172</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-He213)s11149-013-9221-z-p</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">330</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Feng, Ye</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Vehicle choices, miles driven, and pollution policies</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2013</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">ohne Hilfsmittel zu benutzen</subfield><subfield code="b">n</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Band</subfield><subfield code="b">nc</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">© Springer Science+Business Media New York 2013</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract Mobile sources contribute large percentages of each pollutant, but technology is not yet available to measure and tax emissions from each vehicle. We build a behavioral model of household choices about vehicles and miles traveled. The ideal-but-unavailable emissions tax would encourage drivers to abate emissions through many behaviors, some of which involve market transactions that can be observed for feasible market incentives (such as a gas tax, subsidy to new cars, or tax by vehicle type). Our model can calculate behavioral effects of each such price and thus calculate car choices, miles, and emissions. A nested logit structure is used to model discrete choices among different vehicle bundles. We also consider continuous choices of miles driven and the age of each vehicle. We propose a consistent estimation method for both discrete and continuous demands in one step, to capture the interactive effects of simultaneous decisions. Results are compared with those of the traditional sequential estimation procedure.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Discrete choices</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Continuous demands</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Environmental incentives</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Fullerton, Don</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Gan, Li</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Journal of regulatory economics</subfield><subfield code="d">Springer US, 1989</subfield><subfield code="g">44(2013), 1 vom: 05. Mai, Seite 4-29</subfield><subfield code="w">(DE-627)170221695</subfield><subfield code="w">(DE-600)1027173-9</subfield><subfield code="w">(DE-576)023101695</subfield><subfield code="x">0922-680X</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:44</subfield><subfield code="g">year:2013</subfield><subfield code="g">number:1</subfield><subfield code="g">day:05</subfield><subfield code="g">month:05</subfield><subfield code="g">pages:4-29</subfield></datafield><datafield tag="856" ind1="4" ind2="1"><subfield code="u">https://doi.org/10.1007/s11149-013-9221-z</subfield><subfield code="z">lizenzpflichtig</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_OLC</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-WIW</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_26</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_31</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2012</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4012</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4193</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4318</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4700</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">44</subfield><subfield code="j">2013</subfield><subfield code="e">1</subfield><subfield code="b">05</subfield><subfield code="c">05</subfield><subfield code="h">4-29</subfield></datafield></record></collection>
|
score |
7.400675 |