Empirical Modeling of Policy Diffusion in Federal States: The Dyadic Approach

Gilardi, Fabrizio; Füglister, Katharina

doi:10.1002/j.1662-6370.2008.tb00108.x

Cited by 103 publications

(71 citation statements)

References 65 publications

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“…Appropriately, then, the dyadic event history approach brings the literature closer to Walker's (1969) original focus on policy leadership rather than merely policy adoption. Not surprisingly, then, scholars have quickly applied the dyadic approach to understand policy diffusion or convergence at the subnational level both in the United States (Shipan and Volden 2007) and in other countries (Gilardi and Füglister 2008) as well as at the national level across countries (Gilardi 2008).…”

Section: Boehmkementioning

confidence: 99%

Policy Emulation or Policy Convergence? Potential Ambiguities in the Dyadic Event History Approach to State Policy Emulation

Boehmke

2009

The Journal of Politics

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I demonstrate a source of bias in the common implementation of the dyadic event history model as applied to policy diffusion. This bias tends to severely overstate the extent to which policy changes depend on explicit emulation of other states rather than on a state's internal characteristics. This happens because the standard implementation conflates policy emulation and policy adoption: since early adopters are policy leaders, later adopters will appear to emulate them, even if they are acting independently. I demonstrate this ambiguity analytically and through Monte Carlo simulation. I then propose a simple modification of the dyadic emulation model that conditions on the opportunity to emulate and show that it produces much more accurate findings.An examination of state pain management policy illustrates the inferential differences that arise from the appropriately modified dyadic event history model.

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Section: Boehmkementioning

confidence: 99%

Policy Emulation or Policy Convergence? Potential Ambiguities in the Dyadic Event History Approach to State Policy Emulation

Boehmke

2009

The Journal of Politics

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“…New methodological techniques such as the dyadic approach (Volden 2006;Gilardi and Füglister 2008) or a procedure with the Geographic Information System (Boehmke and Witmer 2004) were used. Diffusion has been detected in a broad set of policies (for an overview see Karch 2007).…”

Section: Observability and Competitiveness In Diffusion: When And Why?mentioning

confidence: 99%

What about non-diffusion? The effect of competitiveness in policy-comparative diffusion research

Heiden

Strebel

2012

Policy Sci

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Many scholars have convincingly shown that policies diffuse between national and sub-national entities for several different reasons. Although diffusion processes are empirically proven, we witness two shortcomings in the discussion: First, there is a lack of comparative research across policy areas. Second, the question of why diffusion might not occur in a certain domain is under-theorized and lacks an empirical test. By comparing the rationale behind diffusion processes in two policy domains-energy policy and locational policy-this paper shows that two aspects matter for diffusion processes: First is the observability of policy measures, that is, how easily things can be observed by others; second is the competitiveness of the policy domain. If policy measures can be hidden easily and the policy domain is highly competitive, policy diffusion is very unlikely to happen. Therefore, we seek the integration of these two aspects in prospective diffusion research.

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“…24 We can use a number of PHA diagnostic tests such as residual-based approaches Zorn, 2001, Fine andGray, 1999) and time interactions (Stata Corp., 2009, 214-215). 33 The procedure I used to create the dyadic data sets for finding the spacial effects was from Gilardi and Füglister (2008).…”

Section: Notesmentioning

confidence: 99%

“…So, I draw on the growing policy diffusion literature (see Boehmke, 2009, Brooks, 2005, Elkins and Simmons, 2005, Elkins, Guzman and Simmons, 2006, Füglister, 2011, Gilardi, 2005, Gilardi and Füglister, 2008, Gilardi, Füglister and Luyet, 2009, Gilardi, 2010, Jordana and Levi-Faur, 2005, Lee and Strang, 2006, Linos, 2011, Meseguer, 2006, Meseguer and Gilardi, 2009, Shipan and Volden, 2008, Simmons and Elkins, 2004, Simmons, Dobbin and Garrett, 2006, Strang and Tuma, 1993, Weyland, 2007. This body of work has made considerable progress in exploring the causes of cross-country policy convergence.…”

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confidence: 99%

The Diffusion of Financial Supervisory Governance Ideas

Gandrud

2012

SSRN Journal

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This is the accepted version of the paper.This version of the publication may differ from the final published version. To answer this question I draw on two political economy literatures. The first is sociological constructivism. This is a broad group that includes work by Blyth (1997), Chwieroth (2010), Dobbin (1994, Sikkink (1998, 2001), Jacobs (2008), McNamara (1998McNamara ( , 2002, Windmaier, Blyth and Permanent repository linkSeabrooke (2007), and Yee (1996). One important component of this literature is the assertion that new, socially spread ideas (see Fligstein, 2001) can shape policymakers' understanding of how policies achieve their goals. Ideas can change what policies actors are likely to prefer and implement. According to this approach, the promotion of the SEC or FSA models as "best practice" by prominent and powerful international institu-

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Empirical Modeling of Policy Diffusion in Federal States: The Dyadic Approach

Abstract: Policy diffusion is a common phenomenon in federal states

Cited by 103 publications

References 65 publications

Policy Emulation or Policy Convergence? Potential Ambiguities in the Dyadic Event History Approach to State Policy Emulation

Policy Emulation or Policy Convergence? Potential Ambiguities in the Dyadic Event History Approach to State Policy Emulation

What about non-diffusion? The effect of competitiveness in policy-comparative diffusion research

The Diffusion of Financial Supervisory Governance Ideas

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