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States as Policy Laboratories: Experimenting with the Children's Health Insurance Program |
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Abstract:
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For more than a decade, scholars of policy diffusion across the states have relied on state-year event history analyses. Such work has been limited by: (1) focusing mainly on neighbor-to-neighbor diffusion paths, rather than other similarities across states; (2) neglecting the role of the success or failures of policies in their diffusion; (3) studying singular specific policy adoptions rather than the choice among an array of policy variants; and (4) setting aside questions about how diffusion mechanisms vary across different policies and different political processes. This paper proposes the alternative approach of dyad-year event history analysis, commonly used in international relations, and applies it to the study of policy diffusion in Children’s Health Insurance Program from 1998-2001. This approach uncovers strong evidence of the emulation of states with similar political, demographic, and budgetary characteristics, and those with successful policies. Moreover, the diffusion mechanisms differ substantially across different policy types and political processes. |
Most Common Document Word Stems:
state (255), polici (237), differ (135), variabl (99), diffus (92), similar (82), chang (78), adopt (75), polit (72), medicaid (69), program (67), emul (62), year (61), fpl (57), model (57), dyad (57), chip (54), absolut (50), percent (50), one (49), 1 (45), |
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Association:
Name: American Political Science Association URL: http://www.apsanet.org
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Citation:
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MLA Citation:
| Volden, Craig. "States as Policy Laboratories: Experimenting with the Children's Health Insurance Program" Paper presented at the annual meeting of the American Political Science Association, Philadelphia Marriott Hotel, Philadelphia, PA, Aug 27, 2003 <Not Available>. 2008-10-10 <http://www.allacademic.com/meta/p62116_index.html> |
APA Citation:
| Volden, C. , 2003-08-27 "States as Policy Laboratories: Experimenting with the Children's Health Insurance Program" Paper presented at the annual meeting of the American Political Science Association, Philadelphia Marriott Hotel, Philadelphia, PA Online <.PDF>. 2008-10-10 from http://www.allacademic.com/meta/p62116_index.html |
Publication Type: Conference Paper/Unpublished Manuscript Review Method: Peer Reviewed Abstract: For more than a decade, scholars of policy diffusion across the states have relied on state-year event history analyses. Such work has been limited by: (1) focusing mainly on neighbor-to-neighbor diffusion paths, rather than other similarities across states; (2) neglecting the role of the success or failures of policies in their diffusion; (3) studying singular specific policy adoptions rather than the choice among an array of policy variants; and (4) setting aside questions about how diffusion mechanisms vary across different policies and different political processes. This paper proposes the alternative approach of dyad-year event history analysis, commonly used in international relations, and applies it to the study of policy diffusion in Children’s Health Insurance Program from 1998-2001. This approach uncovers strong evidence of the emulation of states with similar political, demographic, and budgetary characteristics, and those with successful policies. Moreover, the diffusion mechanisms differ substantially across different policy types and political processes. |
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| Document Type: |
.pdf |
| Page count: |
37 |
| Word count: |
13131 |
| Text sample: |
| States as Policy Laboratories: Experimenting with the Children’s Health Insurance Program Craig Volden* Ohio State University Abstract For more than a decade scholars of policy diffusion across the states have relied on state-year event history analyses. Such work has been limited by: (1) focusing mainly on neighbor-to-neighbor diffusion paths rather than other similarities across states; (2) neglecting the role of the success or failures of policies in their diffusion; (3) studying singular specific policy adoptions rather than the choice |
| (0.133) Number of Prior Emulations -1.72 -0.275 -1.05 (0.988) (0.0958) (0.159) Constant -4.90 -2.68 -3.01 (0.643) (0.142) (0.178) N 9800 LogL -3901.3 χ 2 (51) 668.8 Robust standard errors in parentheses. Data clustered by dyad. Year dummies included in analysis but not reported in table. |
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