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Policy Diffusion: The Issue‐Definition Stage
dc.contributor.authorGilardi, Fabrizio
dc.contributor.authorShipan, Charles R.
dc.contributor.authorWüest, Bruno
dc.date.accessioned2021-02-04T21:50:19Z
dc.date.available2022-02-04 16:50:17en
dc.date.available2021-02-04T21:50:19Z
dc.date.issued2021-01
dc.identifier.citationGilardi, Fabrizio; Shipan, Charles R.; Wüest, Bruno (2021). "Policy Diffusion: The Issue‐Definition Stage." American Journal of Political Science 65(1): 21-35.
dc.identifier.issn0092-5853
dc.identifier.issn1540-5907
dc.identifier.urihttps://hdl.handle.net/2027.42/166196
dc.description.abstractWe put forward a new approach to studying issue definition within the context of policy diffusion. Most studies of policy diffusion—which is the process by which policymaking in one government affects policymaking in other governments—have focused on policy adoptions. We shift the focus to an important but neglected aspect of this process: the issue‐definition stage. We use topic models to estimate how policies are framed during this stage and how these frames are predicted by prior policy adoptions. Focusing on smoking restriction in U.S. states, our analysis draws upon an original data set of over 52,000 paragraphs from newspapers covering 49 states between 1996 and 2013. We find that frames regarding the policy’s concrete implications are predicted by prior adoptions in other states, whereas frames regarding its normative justifications are not. Our approach and findings open the way for a new perspective to studying policy diffusion in many different areas.
dc.publisherCambridge University Press
dc.publisherWiley Periodicals, Inc.
dc.titlePolicy Diffusion: The Issue‐Definition Stage
dc.typeArticle
dc.rights.robotsIndexNoFollow
dc.subject.hlbsecondlevelPolitical Science
dc.subject.hlbtoplevelGovernment, Politics and Law
dc.description.peerreviewedPeer Reviewed
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/166196/1/ajps12521.pdf
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/166196/2/ajps12521_am.pdf
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/166196/3/ajps12521-sup-0001-Appendix.pdf
dc.identifier.doi10.1111/ajps.12521
dc.identifier.doihttps://dx.doi.org/10.7302/119
dc.identifier.sourceAmerican Journal of Political Science
dc.identifier.citedreferenceRogers, Everett M. 2003. Diffusion of Innovations. 5th ed. New York: Free Press.
dc.identifier.citedreferenceFinnemore, Martha, and Kathryn Sikkink. 1998. “ International Norm Dynamics and Political Change.” International Organization 52 ( 4 ): 887 – 917.
dc.identifier.citedreferenceDiMaggio, Paul, Manish Nag, and David M. Blei. 2013. “ Exploiting Affinities between Topic Modeling and the Sociological Perspective on Culture: Application to Newspaper Coverage of U.S. Government Arts Funding.” Poetics 41 ( 6 ): 570 – 606.
dc.identifier.citedreferenceEgami, Naoki. 2018. “ Identification of Causal Diffusion Effects Using Stationary Causal Directed Acyclic Graphs.” Princeton University. https://bit.ly/2QKQfER.
dc.identifier.citedreferenceEgami, Naoki, Christian J. Fong, Justin Grimmer, Margaret E. Roberts, and Brandon M. Stewart. 2018. “ How to Make Causal Inferences Using Texts.” https://arxiv.org/abs/1802.02163v1.
dc.identifier.citedreferenceElder, Charles D., and Roger W. Cobb. 1984. “ Agenda‐Building and the Politics of Aging.” Policy Studies Journal 13 ( 1 ): 115 – 29.
dc.identifier.citedreferencePacheco, Julianna, and Graeme Boushey. 2014. “ Public Health and Agenda Setting: Determinants of State Attention to Tobacco and Vaccines.” Journal of Health Politics, Policy and Law 39 ( 3 ): 565 – 89.
dc.identifier.citedreferencePatton, Carl, David Sawicki, and Jennifer Clark. 2015. Basic Methods of Policy Analysis and Planning. New York: Routledge.
dc.identifier.citedreferencePlümper, Thomas, and Eric Neumayer. 2016. “ W.” Political Science Research and Methods 4 ( 1 ): 175 – 93.
dc.identifier.citedreferenceRoberts, Margaret E., Brandon M. Stewart, and Dustin Tingley. 2014. stm: R Package for Structural Topic Models. https://cran.r-project.org/package=stm.
dc.identifier.citedreferenceRoberts, Margaret E., Brandon M. Stewart, and Edoardo M. Airoldi. 2016. “ A Model of Text for Experimentation in the Social Sciences.” Journal of the American Statistical Association 111 ( 515 ): 988 – 1003.
dc.identifier.citedreferenceRoberts, Margaret E., Brandon M. Stewart, Dustin Tingley, Christopher Lucas, Jetson Leder‐Luis, Shana Kushner Gadarian, Bethany Albertson, and David G. Rand. 2014. “ Structural Topic Models for Open‐Ended Survey Responses.” American Journal of Political Science 58 ( 4 ): 1064 – 82.
dc.identifier.citedreferenceDesmarais, Bruce A., Jeffrey J. Harden, and Frederick J. Boehmke. 2015. “ Persistent Policy Pathways: Inferring Diffusion Networks in the American States.” American Political Science Review 109 ( 2 ): 392 – 406.
dc.identifier.citedreferenceShipan, Charles R., and Craig Volden. 2006. “ Bottom‐Up Federalism: The Diffusion of Antismoking Policies from U.S. Cities to States.” American Journal of Political Science 50 ( 4 ): 825 – 43.
dc.identifier.citedreferenceShipan, Charles R., and Craig Volden. 2008. “ The Mechanisms of Policy Diffusion.” American Journal of Political Science 52 ( 4 ): 840 – 57.
dc.identifier.citedreferenceShipan, Charles R., and Craig Volden. 2014. “ When the Smoke Clears: Expertise, Learning and Policy Diffusion.” Journal of Public Policy 34 ( 3 ): 357 – 387.
dc.identifier.citedreferenceSimmons, Beth, Frank Dobbin, and Geoffrey Garrett. 2006. “ Introduction: The International Diffusion of Liberalism.” International Organization 60 ( 4 ): 781 – 810.
dc.identifier.citedreferenceSteensland, Brian. 2008. “ Why Do Policy Frames Change? Actor‐Idea Coevolution in Debates over Welfare Reform.” Social Forces 86 ( 3 ): 1027 – 54.
dc.identifier.citedreferenceStudlar, Donley T. 1999. “ Diffusion of Tobacco Control in North America.” ANNALS of the American Academy of Political and Social Science 566 ( 1 ): 68 – 79.
dc.identifier.citedreferenceVanSickle‐Ward, Rachel, and Kevin Wallsten. 2019. The Politics of the Pill: Gender, Framing and Policymaking in the Battle over Birth Control. New York: Oxford University Press.
dc.identifier.citedreferenceVolden, Craig. 2006. “ States as Policy Laboratories: Emulating Success in the Children’s Health Insurance Program.” American Journal of Political Science 50 ( 2 ): 294 – 312.
dc.identifier.citedreferenceWalker, Jack L. 1969. “ The Diffusion of Innovations among the American States.” American Political Science Review 63 ( 3 ): 880 – 99.
dc.identifier.citedreferenceWarner, Kenneth E. 2000. “ The Economics of Tobacco: Myths and Realities.” Tobacco Control 9 ( 1 ): 78 – 89.
dc.identifier.citedreferenceWildavsky, Aaron B. 1987. Speaking Truth to Power. 2nd ed. New Brunswick, NJ: Transaction.
dc.identifier.citedreferenceBaumgartner, Frank R., Suzanna L. De Boef, and Amber E. Boydstun. 2008. The Decline of the Death Penalty and the Discovery of Innocence. New York: Cambridge University Press.
dc.identifier.citedreferenceBaumgartner, Frank R., and Bryan D. Jones. 1993. Agendas and Instability in American Politics. Chicago: University of Chicago Press.
dc.identifier.citedreferenceBenoit, Kenneth, Drew Conway, Benjamin E. Lauderdale, Michael Laver, and Slava Mikhaylov. 2016. “ Crowd‐Sourced Text Analysis: Reproducible and Agile Production of Political Data.” American Political Science Review 116 ( 2 ): 278 – 95.
dc.identifier.citedreferenceBerry, Frances Stokes, and William D. Berry. 1990. “ State Lottery Adoptions as Policy Innovations: An Event History Analysis.” American Political Science Review 84 ( 2 ): 395 – 415.
dc.identifier.citedreferenceBlei, David M., Andrew Y. Ng, and Michael I. Jordan. 2003. “ Latent Dirichlet Allocation.” Journal of Machine Learning 3: 993 – 1022.
dc.identifier.citedreferenceBoehmke, Frederick J., and Richard Witmer. 2004. “ Disentangling Diffusion: The Effects of Social Learning and Economic Competition on State Policy Innovation and Expansion.” Political Research Quarterly 57 ( 1 ): 39 – 51.
dc.identifier.citedreferenceBosso, Christopher J. 2017. Framing the Farm Bill: Interests, Ideology, and the Agricultural Act of 2014. Lawrence: University Press of Kansas.
dc.identifier.citedreferenceBoushey, Graeme. 2016. “ Targeted for Diffusion? How the Use and Acceptance of Stereotypes Shape the Diffusion of Criminal Justice Policy Innovations in the American States.” American Political Science Review 110 ( 1 ): 198 – 214.
dc.identifier.citedreferenceBraun, Dietmar, and Fabrizio Gilardi. 2006. “ Taking ‘Galton’s Problem’ Seriously: Towards a Theory of Policy Diffusion.” Journal of Theoretical Politics 18 ( 3 ): 298 – 322.
dc.identifier.citedreferenceGamson, William A., David Croteau, William Hoynes, and Theodore Sasson. 1992. “ Media Images and the Social Construction of Reality.” Annual Review of Sociology 18 ( 1 ): 373 – 93.
dc.identifier.citedreferenceGentzkow, Matthew, and Jesse M. Shapiro. 2010. “ What Drives Media Slant? Evidence from U.S. Daily Newspapers.” Econometrica 78 ( 1 ): 35 – 71.
dc.identifier.citedreferenceGilardi, Fabrizio. 2010. “ Who Learns from What in Policy Diffusion Processes? ” American Journal of Political Science 54 ( 3 ): 650 – 66.
dc.identifier.citedreferenceGilardi, Fabrizio, and Fabio Wasserfallen. 2019. “ The Politics of Policy Diffusion.” European Journal of Political Research 58 ( 4 ): 1245 – 56.
dc.identifier.citedreferenceHaynes, Chris, Jennifer Merolla, and S. Karthick Ramakrishnan. 2016. Framing Immigrants: News Coverage, Public Opinion, and Policy. New York: Russell Sage Foundation.
dc.identifier.citedreferenceJacobson, Peter D., Jeffrey Wasserman, and John R. Anderson. 1997. “ Historical Overview of Tobacco Legislation and Regulation.” Journal of Social Issues 53 ( 1 ): 75 – 95.
dc.identifier.citedreferenceKarch, Andrew. 2007. Democratic Laboratories: Policy Diffusion among the American States. Ann Arbor: University of Michigan Press.
dc.identifier.citedreferenceKarch, Andrew, and Matthew Cravens. 2014. “ Rapid Diffusion and Policy Reform: The Adoption and Modification of Three Strikes Laws.” State Politics & Policy Quarterly 14 ( 4 ): 461 – 91.
dc.identifier.citedreferenceKarch, Andrew, Sean C. Nicholson‐Crotty, Neal D. Woods, and Ann O’M. Bowman. 2016. “ Policy Diffusion and the Pro‐Innovation Bias.” Political Research Quarterly 69 ( 1 ): 83 – 95.
dc.identifier.citedreferenceKingdon, John W. 1984. Agendas, Alternatives, and Public Policies. New York: Longman.
dc.identifier.citedreferenceMaggetti, Martino, and Fabrizio Gilardi. 2016. “ Problems (and Solutions) in the Measurement of Policy Diffusion Mechanisms.” Journal of Public Policy 36 ( 1 ): 87 – 107.
dc.identifier.citedreferenceMcCann, Pamela J. Clouser, Charles R. Shipan, and Craig Volden. 2015. “ Top‐Down Federalism: State Policy Responses to National Government Discussions.” Publius 45 ( 4 ): 495 – 525.
dc.identifier.citedreferenceMenashe, Claudia L., and Michael Siegel. 1998. “ The Power of a Frame: An Analysis of Newspaper Coverage of Tobacco Issues‐United States, 1985–1996.” Journal of Health Communication 3 ( 4 ): 307 – 25.
dc.identifier.citedreferenceMeyer, John W., and Brian Rowan. 1977. “ Institutionalized Organizations: Formal Structure as Myth and Ceremony.” American Journal of Sociology 83 ( 2 ): 340 – 63.
dc.identifier.citedreferenceNicholson‐Crotty, Sean, and Sanya Carley. 2016. “ Effectiveness, Implementation, and Policy Diffusion or ‘Can We Make That Work for Us?’ ” State Politics & Policy Quarterly 16 ( 1 ): 78 – 97.
dc.identifier.citedreferencePacheco, Julianna. 2012. “ The Social Contagion Model: Exploring the Role of Public Opinion on the Diffusion of Antismoking Legislation across the American States.” Journal of Politics 74 ( 1 ): 187 – 202.
dc.working.doi10.7302/119en
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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