Crime and Durable Goods

Galiani, Sebastián; Jaitman, Laura; Weinschelbaum, Federico

doi:10.3386/w22788

Cited by 3 publications

(2 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The database, which includes 19,049 observations, is formed by an unbalanced panel of 1,899 counties, to which I have then added all the county-level annual socioeconomic covariates. 14 Two aspects are worth noting. First, the paper's findings will be shown to be very similar, in terms of both magnitude and precision, when the analysis is conducted on a perfectly balanced panel of counties including agencies that report crime during each year of the sample.…”

Section: Datamentioning

confidence: 99%

See 1 more Smart Citation

The Effects of Stolen-Goods Markets on Crime: Pawnshops, Property Theft, and the Gold Rush of the 2000s

D'Este

2020

The Journal of Law and Economics

View full text Add to dashboard Cite

show abstract

Section: Datamentioning

confidence: 99%

“…The analysis focuses on β 2 , the effect of pawnshops on crime. Under the assumption that greater access to alternative markets for stolen goods does not "solve" the variation in access to 14 In less than 3.4% of the cases police agencies span multiple counties. I proceed as follows.…”

Section: Empirical Analysismentioning

confidence: 99%

The Effects of Stolen-Goods Markets on Crime: Pawnshops, Property Theft, and the Gold Rush of the 2000s

D'Este

2020

The Journal of Law and Economics

View full text Add to dashboard Cite

show abstract

Frontiers in the economics of crime: lessons for Latin America and the Caribbean

Jaitman¹

2019

Lat Am Econ Rev

Self Cite

View full text Add to dashboard Cite

Inequality, Crime, and the Long Run Legacy of Slavery

Buonanno

Vargas

2016

SSRN Journal

View full text Add to dashboard Cite

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 der dort genannten Lizenz gewährten Nutzungsrechte. Any dispute related to the use of the works of the IDB that cannot be settled amicably shall be submitted to arbitration pursuant to the UNCITRAL rules. The use of the IDB's name for any purpose other than for attribution, and the use of IDB's logo shall be subject to a separate written license agreement between the IDB and the user and is not authorized as part of this CC-IGO license. Terms of use: Documents inFollowing a peer review process, and with previous written consent by the Inter-American Development Bank (IDB), a revised version of this work may also be reproduced in any academic journal, including those indexed by the American Economic Association's EconLit, provided that the IDB is credited and that the author(s) receive no income from the publication. Therefore, the restriction to receive income from such publication shall only extend to the publication's author(s). With regard to such restriction, in case of any inconsistency between the Creative Commons IGO 3.0 Attribution-NonCommercial-NoDerivatives license and these statements, the latter shall prevail.Note that link provided above includes additional terms and conditions of the license. Estimating the effect of inequality on crime is challenging due to reverse causality and omitted variable bias. This paper addresses these concerns by exploiting the fact that, as suggested by recent scholarly research, the legacy of slavery is largely manifested in persistent levels of economic inequality. Municipality-level economic inequality in Colombia is instrumented with a census-based measure of the proportion of slaves before the abolition of slavery in the nineteenth century. It is found that inequality increases both property crime and violent crime. The estimates are robust to including traditional determinants of crime (like population density, proportion of young males, average education level, quality of law enforcement institutions, and overall economic activity), as well as geographic characteristics that may be correlated with both the slave economy and with crime, and current ethnic differences. Policies aiming at reducing structural crime should focus on reducing economic inequality.

show abstract

Crime and Durable Goods

Cited by 3 publications

References 17 publications

The Effects of Stolen-Goods Markets on Crime: Pawnshops, Property Theft, and the Gold Rush of the 2000s

The Effects of Stolen-Goods Markets on Crime: Pawnshops, Property Theft, and the Gold Rush of the 2000s

Frontiers in the economics of crime: lessons for Latin America and the Caribbean

Inequality, Crime, and the Long Run Legacy of Slavery

Contact Info

Product

Resources

About