dynamics of deterrence

Because punishment is scarce, costly, and painful, optimal enforcement strategies will minimize the amount of actual punishment required to effectuate deterrence. If potential offenders are sufficiently deterrable, increasing the conditional probability of punishment (given violation) can reduce the...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Proceedings of the National Academy of Sciences - PNAS 2009-08, Vol.106 (34), p.14230-14235
Hauptverfasser: Kleiman, Mark, Kilmer, Beau
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 14235
container_issue 34
container_start_page 14230
container_title Proceedings of the National Academy of Sciences - PNAS
container_volume 106
creator Kleiman, Mark
Kilmer, Beau
description Because punishment is scarce, costly, and painful, optimal enforcement strategies will minimize the amount of actual punishment required to effectuate deterrence. If potential offenders are sufficiently deterrable, increasing the conditional probability of punishment (given violation) can reduce the amount of punishment actually inflicted, by "tipping" a situation from its high-violation equilibrium to its low-violation equilibrium. Compared to random or "equal opportunity" enforcement, dynamically concentrated sanctions can reduce the punishment level necessary to tip the system, especially if preceded by warnings. Game theory and some simple and robust Monte Carlo simulations demonstrate these results, which, in addition to their potential for reducing crime and incarceration, may have implications for both management and regulation.
doi_str_mv 10.1073/pnas.0905513106
format Article
fullrecord <record><control><sourceid>jstor_proqu</sourceid><recordid>TN_cdi_proquest_journals_201421422</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><jstor_id>40484403</jstor_id><sourcerecordid>40484403</sourcerecordid><originalsourceid>FETCH-LOGICAL-c556t-37ac734df8a44a607cd7be712bee7c69af94e5ad46b1eb9bf96eb221a967c8e83</originalsourceid><addsrcrecordid>eNqFkM9LHDEUx0NpqavttT3ZLh4KHkZffieXgohWQfDQeg6ZzBs7y-xkTWZE_3uz7OK2vRQe5PD9vO_L90vIZwonFDQ_XQ0-n4AFKSmnoN6QGQVLKyUsvCUzAKYrI5jYI_s5LwDASgPvyR61GpQEOSOfmufBL7uQ57GdNzhiSjgE_EDetb7P-HH7HpC7y4tf51fVze2P6_OzmypIqcaKax80F01rvBBegQ6NrlFTViPqoKxvrUDpG6FqirWtW6uwZox6q3QwaPgB-b7xXU31EpuAw5h871apW_r07KLv3N_K0P129_HRMc2ZMbYYfNsapPgwYR7dsssB-94PGKfslFZgwLICHv0DLuKUhhLOMaCClVlDpxsopJhzwvb1JxTcunC3LtztCi8bX_4MsOO3DRfgeAusN3d2ynHhylEOrp36fsSnsbDz_7AFOdwgizzG9MoIEEYI4EX_utFbH52_T112dz9LQA5Uac6l5S8eCqbF</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>201421422</pqid></control><display><type>article</type><title>dynamics of deterrence</title><source>Jstor Complete Legacy</source><source>MEDLINE</source><source>PubMed Central</source><source>Alma/SFX Local Collection</source><source>Free Full-Text Journals in Chemistry</source><creator>Kleiman, Mark ; Kilmer, Beau</creator><creatorcontrib>Kleiman, Mark ; Kilmer, Beau</creatorcontrib><description>Because punishment is scarce, costly, and painful, optimal enforcement strategies will minimize the amount of actual punishment required to effectuate deterrence. If potential offenders are sufficiently deterrable, increasing the conditional probability of punishment (given violation) can reduce the amount of punishment actually inflicted, by "tipping" a situation from its high-violation equilibrium to its low-violation equilibrium. Compared to random or "equal opportunity" enforcement, dynamically concentrated sanctions can reduce the punishment level necessary to tip the system, especially if preceded by warnings. Game theory and some simple and robust Monte Carlo simulations demonstrate these results, which, in addition to their potential for reducing crime and incarceration, may have implications for both management and regulation.</description><identifier>ISSN: 0027-8424</identifier><identifier>EISSN: 1091-6490</identifier><identifier>DOI: 10.1073/pnas.0905513106</identifier><identifier>PMID: 19706505</identifier><language>eng</language><publisher>United States: National Academy of Sciences</publisher><subject>Animals ; Behavior deterrence ; Compliance costs ; Computer Simulation ; Conditional probabilities ; Cooperative Behavior ; Crime - prevention &amp; control ; Criminal punishment ; Criminals ; Economic sanctions ; Game Theory ; Humans ; Law enforcement ; Models, Psychological ; Monte Carlo Method ; Monte Carlo simulation ; Nash equilibrium ; Prisons ; Punishment ; Social Behavior ; Social Sciences ; Violations ; Warnings</subject><ispartof>Proceedings of the National Academy of Sciences - PNAS, 2009-08, Vol.106 (34), p.14230-14235</ispartof><rights>Copyright National Academy of Sciences Aug 25, 2009</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c556t-37ac734df8a44a607cd7be712bee7c69af94e5ad46b1eb9bf96eb221a967c8e83</citedby><cites>FETCH-LOGICAL-c556t-37ac734df8a44a607cd7be712bee7c69af94e5ad46b1eb9bf96eb221a967c8e83</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Uhttp://www.pnas.org/content/106/34.cover.gif</thumbnail><linktopdf>$$Uhttps://www.jstor.org/stable/pdf/40484403$$EPDF$$P50$$Gjstor$$H</linktopdf><linktohtml>$$Uhttps://www.jstor.org/stable/40484403$$EHTML$$P50$$Gjstor$$H</linktohtml><link.rule.ids>230,314,723,776,780,799,881,27901,27902,53766,53768,57992,58225</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/19706505$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Kleiman, Mark</creatorcontrib><creatorcontrib>Kilmer, Beau</creatorcontrib><title>dynamics of deterrence</title><title>Proceedings of the National Academy of Sciences - PNAS</title><addtitle>Proc Natl Acad Sci U S A</addtitle><description>Because punishment is scarce, costly, and painful, optimal enforcement strategies will minimize the amount of actual punishment required to effectuate deterrence. If potential offenders are sufficiently deterrable, increasing the conditional probability of punishment (given violation) can reduce the amount of punishment actually inflicted, by "tipping" a situation from its high-violation equilibrium to its low-violation equilibrium. Compared to random or "equal opportunity" enforcement, dynamically concentrated sanctions can reduce the punishment level necessary to tip the system, especially if preceded by warnings. Game theory and some simple and robust Monte Carlo simulations demonstrate these results, which, in addition to their potential for reducing crime and incarceration, may have implications for both management and regulation.</description><subject>Animals</subject><subject>Behavior deterrence</subject><subject>Compliance costs</subject><subject>Computer Simulation</subject><subject>Conditional probabilities</subject><subject>Cooperative Behavior</subject><subject>Crime - prevention &amp; control</subject><subject>Criminal punishment</subject><subject>Criminals</subject><subject>Economic sanctions</subject><subject>Game Theory</subject><subject>Humans</subject><subject>Law enforcement</subject><subject>Models, Psychological</subject><subject>Monte Carlo Method</subject><subject>Monte Carlo simulation</subject><subject>Nash equilibrium</subject><subject>Prisons</subject><subject>Punishment</subject><subject>Social Behavior</subject><subject>Social Sciences</subject><subject>Violations</subject><subject>Warnings</subject><issn>0027-8424</issn><issn>1091-6490</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2009</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFkM9LHDEUx0NpqavttT3ZLh4KHkZffieXgohWQfDQeg6ZzBs7y-xkTWZE_3uz7OK2vRQe5PD9vO_L90vIZwonFDQ_XQ0-n4AFKSmnoN6QGQVLKyUsvCUzAKYrI5jYI_s5LwDASgPvyR61GpQEOSOfmufBL7uQ57GdNzhiSjgE_EDetb7P-HH7HpC7y4tf51fVze2P6_OzmypIqcaKax80F01rvBBegQ6NrlFTViPqoKxvrUDpG6FqirWtW6uwZox6q3QwaPgB-b7xXU31EpuAw5h871apW_r07KLv3N_K0P129_HRMc2ZMbYYfNsapPgwYR7dsssB-94PGKfslFZgwLICHv0DLuKUhhLOMaCClVlDpxsopJhzwvb1JxTcunC3LtztCi8bX_4MsOO3DRfgeAusN3d2ynHhylEOrp36fsSnsbDz_7AFOdwgizzG9MoIEEYI4EX_utFbH52_T112dz9LQA5Uac6l5S8eCqbF</recordid><startdate>20090825</startdate><enddate>20090825</enddate><creator>Kleiman, Mark</creator><creator>Kilmer, Beau</creator><general>National Academy of Sciences</general><general>National Acad Sciences</general><scope>FBQ</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QG</scope><scope>7QL</scope><scope>7QP</scope><scope>7QR</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TK</scope><scope>7TM</scope><scope>7TO</scope><scope>7U9</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>H94</scope><scope>M7N</scope><scope>P64</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20090825</creationdate><title>dynamics of deterrence</title><author>Kleiman, Mark ; Kilmer, Beau</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c556t-37ac734df8a44a607cd7be712bee7c69af94e5ad46b1eb9bf96eb221a967c8e83</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2009</creationdate><topic>Animals</topic><topic>Behavior deterrence</topic><topic>Compliance costs</topic><topic>Computer Simulation</topic><topic>Conditional probabilities</topic><topic>Cooperative Behavior</topic><topic>Crime - prevention &amp; control</topic><topic>Criminal punishment</topic><topic>Criminals</topic><topic>Economic sanctions</topic><topic>Game Theory</topic><topic>Humans</topic><topic>Law enforcement</topic><topic>Models, Psychological</topic><topic>Monte Carlo Method</topic><topic>Monte Carlo simulation</topic><topic>Nash equilibrium</topic><topic>Prisons</topic><topic>Punishment</topic><topic>Social Behavior</topic><topic>Social Sciences</topic><topic>Violations</topic><topic>Warnings</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Kleiman, Mark</creatorcontrib><creatorcontrib>Kilmer, Beau</creatorcontrib><collection>AGRIS</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Calcium &amp; Calcified Tissue Abstracts</collection><collection>Chemoreception Abstracts</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Immunology Abstracts</collection><collection>Neurosciences Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Oncogenes and Growth Factors Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Engineering Research Database</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Proceedings of the National Academy of Sciences - PNAS</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Kleiman, Mark</au><au>Kilmer, Beau</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>dynamics of deterrence</atitle><jtitle>Proceedings of the National Academy of Sciences - PNAS</jtitle><addtitle>Proc Natl Acad Sci U S A</addtitle><date>2009-08-25</date><risdate>2009</risdate><volume>106</volume><issue>34</issue><spage>14230</spage><epage>14235</epage><pages>14230-14235</pages><issn>0027-8424</issn><eissn>1091-6490</eissn><abstract>Because punishment is scarce, costly, and painful, optimal enforcement strategies will minimize the amount of actual punishment required to effectuate deterrence. If potential offenders are sufficiently deterrable, increasing the conditional probability of punishment (given violation) can reduce the amount of punishment actually inflicted, by "tipping" a situation from its high-violation equilibrium to its low-violation equilibrium. Compared to random or "equal opportunity" enforcement, dynamically concentrated sanctions can reduce the punishment level necessary to tip the system, especially if preceded by warnings. Game theory and some simple and robust Monte Carlo simulations demonstrate these results, which, in addition to their potential for reducing crime and incarceration, may have implications for both management and regulation.</abstract><cop>United States</cop><pub>National Academy of Sciences</pub><pmid>19706505</pmid><doi>10.1073/pnas.0905513106</doi><tpages>6</tpages><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 0027-8424
ispartof Proceedings of the National Academy of Sciences - PNAS, 2009-08, Vol.106 (34), p.14230-14235
issn 0027-8424
1091-6490
language eng
recordid cdi_proquest_journals_201421422
source Jstor Complete Legacy; MEDLINE; PubMed Central; Alma/SFX Local Collection; Free Full-Text Journals in Chemistry
subjects Animals
Behavior deterrence
Compliance costs
Computer Simulation
Conditional probabilities
Cooperative Behavior
Crime - prevention & control
Criminal punishment
Criminals
Economic sanctions
Game Theory
Humans
Law enforcement
Models, Psychological
Monte Carlo Method
Monte Carlo simulation
Nash equilibrium
Prisons
Punishment
Social Behavior
Social Sciences
Violations
Warnings
title dynamics of deterrence
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-08T12%3A27%3A43IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-jstor_proqu&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=dynamics%20of%20deterrence&rft.jtitle=Proceedings%20of%20the%20National%20Academy%20of%20Sciences%20-%20PNAS&rft.au=Kleiman,%20Mark&rft.date=2009-08-25&rft.volume=106&rft.issue=34&rft.spage=14230&rft.epage=14235&rft.pages=14230-14235&rft.issn=0027-8424&rft.eissn=1091-6490&rft_id=info:doi/10.1073/pnas.0905513106&rft_dat=%3Cjstor_proqu%3E40484403%3C/jstor_proqu%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=201421422&rft_id=info:pmid/19706505&rft_jstor_id=40484403&rfr_iscdi=true