2014
DOI: 10.1016/j.regsciurbeco.2014.09.006
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LOST in America: Evidence on local sales taxes from national panel data

Abstract: Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in… Show more

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Cited by 31 publications
(13 citation statements)
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“…Table A.1 provides summary statistics by state. For an even more detailed institutional background, please see Agrawal (2013).…”
Section: B Supplementary Appendix: Data B1 Background On the Local Omentioning
confidence: 99%
“…Table A.1 provides summary statistics by state. For an even more detailed institutional background, please see Agrawal (2013).…”
Section: B Supplementary Appendix: Data B1 Background On the Local Omentioning
confidence: 99%
“…We thank an anonymous referee for pointing this out.4 Agrawal (2014Agrawal ( , 2015 has recently compiled nationwide LOST tax rate data for a 10-year period. The advantage of our 45-year panel is that it reports initial adoptions as well as annual tax revenues.…”
mentioning
confidence: 99%
“…We assemble a database, described in more detail in Appendix A.2, of all local use taxes in the United States that is similar to local sales tax data assembled in Agrawal (2014). The data have complete geographic coverage of states, towns, counties, and special taxing districts in the United States including Alaska, Hawaii, and the District of Columbia.…”
Section: Tax Rate Datamentioning
confidence: 99%
“…Although these data are provided to firms, they need substantial cleaning to be used for research purposes. The panel data are assembled in a similar manner as the sales tax data in Agrawal (2014).…”
Section: A2 Data Cleaningmentioning
confidence: 99%