Specifying a Model of State Policy Innovation

1991 ◽  
Vol 85 (2) ◽  
pp. 571-579 ◽  
Author(s):  
Howard Frant ◽  
Frances Stokes Berry ◽  
William D. Berry
Keyword(s):  
State Policy ◽  
Event History Analysis ◽  
Policy Innovation ◽  
Original Model ◽  
Model Specification ◽  
Event History ◽  
State Governments ◽  
Empirical Results ◽  
History Analysis ◽  
The Way

How should policy innovations undertaken by states be modeled? Frances Stokes Berry and William D. Berry presented an event history analysis of the determinants of lottery adoptions by state governments in the June 1990 issue of this Review. Howard Front argues that the way Berry and Berry tested for interaction among variables is invalid on the grounds that what they take to be empirical results are only artifacts of the model specification. In response, the Berrys elaborate their original model and add alternative specifications.

The Ties that Bind Us: The Influence of Perceived State Similarity on Policy Diffusion

2020 ◽  
pp. 106591292090661
Author(s):  
Christine Bricker ◽  
Scott LaCombe
Keyword(s):  
State Policy ◽  
Event History Analysis ◽  
Policy Diffusion ◽  
Policy Innovation ◽  
Event History ◽  
Geographic Proximity ◽  
Data Set ◽  
National Network ◽  
Reliable Predictor ◽  
History Analysis

In this paper, we propose a new measure to understand policy connections between the states. For decades, diffusion scholars have relied on the largely untested assumption that contiguous states are more similar than noncontiguous states, despite evidence that similarity is more complex than geographic proximity. We use a unique survey of citizens’ perceptions of other states to construct a national network of similarity ties between the states. We apply this new measure with a data set of state policy adoptions in a dyadic and monadic event history analysis and find that similar state adoptions are a reliable predictor of policy innovation. We argue that perceived state similarity is a more complete measure of how states look to each other than contiguity.

From source-oriented databases to event-history data files: a twelve-step action plan for the analysis of individual and household life histories

1998 ◽  
Vol 10 (1-3) ◽  
pp. 1-9
Author(s):  
Onno Boonstra ◽  
Maarten Panhuysen
Keyword(s):  
Life Histories ◽  
Event History Analysis ◽  
Action Plan ◽  
Event History ◽  
Flat File ◽  
Event History Data ◽  
History Analysis ◽  
Good Technique ◽  
Data Files ◽  
The Way

Population registers are recognised to be a very important source for demographic research, because it enables us to study the lifecourse of individuals as well as households. A very good technique for lifecourse analysis is event history analysis. Unfortunately, there are marked differences in the way the data are available in population registers and the way event history analysis expects them to be. The source-oriented approach of computing historical data calls for a ‘five-file structure’, whereas event history analysis only can handle fiat files. In this article, we suggest a series of twelve steps with which population register data can be transposed from a five-file structured database into a ‘flat file’ event history analysis dataset.

scholarly journals Using Event-history Analysis: Lessons from Fifteen Years of Practice

2001 ◽  
Vol 28 (2) ◽  
pp. 249
Author(s):  
Céline Le Bourdais ◽  
Jean Renaud
Keyword(s):  
Regression Models ◽  
Event History Analysis ◽  
Event History ◽  
Panel Survey ◽  
Longitudinal Surveys ◽  
Comprehensive Review ◽  
Innovative Methods ◽  
New Immigrants ◽  
History Analysis ◽  
The Way

Innovative statistical methods and new longitudinal surveys paved the way to the widespread use of event-history analysis in social science during the last two decades. This paper does not attempt to provide a comprehensive review of these innovative methods. More modestly, it aims at identifying and describing the problems encountered by two privileged users. Two types of problems are discussed here. The first arises from the design of the surveys, or the way data are collected, and the difficulty to test specific hypotheses with the existing databases; this is the kind of problem that Le Bourdais has faced in analysing family dynamics. The second has to do with the limitations of the survival regression models when the longitudinal phenomena studied can no longer properly be thought of as a small number of unique events; this is the type of problem encountered by Renaud in his ten-year Quebec panel survey of new immigrants.

Understanding the Determinants in the Different Government AI Adoption Stages: Evidence of Local Government Chatbots in China

2020 ◽  
pp. 089443932098013
Author(s):  
Youkui Wang ◽  
Nan Zhang ◽  
Xuejiao Zhao
Keyword(s):  
Local Government ◽  
Local Governments ◽  
Event History Analysis ◽  
Rapid Development ◽  
Policy Innovation ◽  
Event History ◽  
Second Phase ◽  
Face To Face ◽  
History Analysis ◽  
And Performance

With the rapid development of artificial intelligence (AI), countries are increasingly adopting AI-guided chatbots to improve service on government portals. The reduction in face-to-face services under COVID-19 pandemic will further accelerate this trend. However, the adoption and performance of the existing chatbots differ. Based on the literature on e-government adoption and innovative policy innovation diffusion, this article examines both the initial and postadoption stages of chatbot usage in China’s local governments. While the first phase employs the survival model of event history analysis to explore the factors that influence the decision to adopt chatbots in local government, the second phase analyzes the determinants of those chatbots’ performance in the postadoption stage. We find that pressure factors and readiness factors play different roles in the different adoption stages. Although pressure can encourage local governments to implement chatbots, these governments’ readiness determined how well the chatbots perform after their initial adoption. The implications and limitations of the research are also discussed.

The Diffusion of Morality Policies

2021 ◽  
Author(s):  
Victor-David Cruz-Aceves
Keyword(s):  
Learning Process ◽  
Event History Analysis ◽  
State Level ◽  
Event History ◽  
Morality Policy ◽  
Process Information ◽  
Moral Content ◽  
History Analysis ◽  
The Usa ◽  
The Way

Through event history analysis and seemingly unrelated estimations, this study investigates the way in which diffusion of state-level legislation in the USA changes according to the varying degrees of morality policy characteristics it displays. The author finds that the magnitude of diffusion increases when policies reflect fewer characteristics of morality policy. Moreover, policies with high moral content diffuse when preceded by a bounded-learning process, information about which is heavily drawn from polities with similar moral attributes; learning about legislation with moderate and minimal characteristics of morality policy not only occurs selectively, but information is also retrieved from ideologically dissimilar polities, too.

Information and Policy Innovation in U.S. States

2021 ◽  
pp. 106591292110067
Author(s):  
Scott J. LaCombe ◽  
Caroline Tolbert ◽  
Karen Mossberger
Keyword(s):  
Event History Analysis ◽  
Policy Innovation ◽  
State Governments ◽  
Sources Of Information ◽  
Geographic Proximity ◽  
History Analysis ◽  
Neighboring State ◽  
Policy Information ◽  
Over Time ◽  
Policy Solutions

Information is a critically important, yet hard to measure, component on policy innovation across state governments. Widespread use of broadband has made it easier for governments to observe other actors, increasing the amount of policy information, while also diversifying the sources of information available to policymakers. This should translate into making governments more innovative over time and quicker to adapt to challenges. At the same time, the Internet may disrupt previous existing flows of information by decreasing the importance of geographic proximity and creating more nationalized or global information networks. We argue that the growth of broadband has made states more innovative over time, while also reducing the reliance on neighboring state adoptions for policy solutions as the information environment becomes both richer and more nationalized. We estimate a pooled event history analysis on hundreds of policies comparing the treatment period (2000–2016) with a control condition (last two decades of the 20th century) and find that states with higher broadband subscriptions are more innovative overall and less reliant on geographic contiguity for policy solutions. The growth of information flows due to digital communications has led to states becoming more innovative while also operating in a more nationalized network.

Event History Analysis in Demography

1995 ◽  
Vol 49 (2) ◽  
pp. 355-357
Author(s):  
Johannes Huinink
Keyword(s):  
Event History Analysis ◽  
Event History ◽  
History Analysis

Gender Differences in the Link Between Marital Status and the Risk of Cognitive Impairment: Results From the Korean Longitudinal Study of Aging

2021 ◽  
pp. 009141502110241
Author(s):  
Yujin Kim
Keyword(s):  
Cognitive Impairment ◽  
Longitudinal Study ◽  
Marital Status ◽  
Event History Analysis ◽  
Population Aging ◽  
Event History ◽  
Never Married ◽  
History Analysis ◽  
Married Men ◽  
And Gender

In the context of South Korea, characterized by increasing population aging and a changing family structure, this study examined differences in the risk of cognitive impairment by marital status and investigated whether this association differs by gender. The data were derived from the 2006–2018 Korean Longitudinal Study of Aging. The sample comprised 7,568 respondents aged 45 years or older, who contributed 30,414 person-year observations. Event history analysis was used to predict the odds of cognitive impairment by marital status and gender. Relative to their married counterparts, never-married and divorced people were the most disadvantaged in terms of cognitive health. In addition, the association between marital status and cognitive impairment was much stronger for men than for women. Further, gender-stratified analyses showed that, compared with married men, never-married men had a higher risk of cognitive impairment, but there were no significant effects of marital status for women.

Sign in / Sign up

Export Citation Format

Share Document