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THE STUDY OF POLITICAL FEEDBACK USING NONRECURSIVE CAUSAL MODELS: THE CASE OF STATE DIVORCE POLICIES
Author(s) -
Dean Gillian
Publication year - 1980
Publication title -
policy studies journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.773
H-Index - 69
eISSN - 1541-0072
pISSN - 0190-292X
DOI - 10.1111/j.1541-0072.1980.tb01184.x
Subject(s) - permissive , politics , state (computer science) , state policy , political science , econometrics , psychology , social psychology , economics , computer science , policy analysis , public administration , law , algorithm , medicine , virology
Researchers interested in policy feedback effects can use the nonrecursive modeling strategies proposed here when time series data are not available for assessing feedback dynamics. This strategy is illustrated in a study of the impacts of American state divorce policies on divorce behavior and the responsiveness of policies to divorce rates. The findings show appreciable impact and feedback effects. In states where divorces are easier to obtain, the incidence of divorce is higher; and where divorce is more widespread, states are likely to implement more permissive divorce policies.

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