State Lottery Adoptions as Policy Innovations: An Event History Analysis

1990 ◽  
Vol 84 (2) ◽  
pp. 395-415 ◽  
Author(s):  
Frances Stokes Berry ◽  
William D. Berry
Keyword(s):  
State Government ◽  
Event History Analysis ◽  
Organizational Innovation ◽  
Event History ◽  
Social Characteristics ◽  
Cross Sectional ◽  
State Lottery ◽  
History Analysis ◽  
Political Economic

Two types of explanations of state government innovation have been proposed: internal determinants models (which posit that the factors causing a state government to innovate are political, economic, and social characteristics of a state) and regional diffusion models (which point toward the role of policy adoptions by neighboring states in prompting a state to adopt). We show that the two are conceptually compatible, relying on Mohr's theory of organizational innovation. Then we develop and test a unified explanation of state lottery adoptions reflecting both internal and regional influences. The empirical results provide a great degree of support for Mohr's theory. For the empirical analysis, we rely on event history analysis, a form of pooled cross-sectional time series analysis, which we believe may be useful in a wide variety of subfields of political science. Event history analysis may be able to explain important forms of political behavior (by individuals, organizations, or governments) even if they occur only rarely.

scholarly journals Event History Analysis for Investigating the Likelihood and Timing of Changing Majors

2018 ◽  
Vol 38 (1) ◽  
pp. 47-60 ◽  
Author(s):  
Jeffrey C. Sklar
Keyword(s):  
Event History Analysis ◽  
Student Characteristics ◽  
Event History ◽  
First Year ◽  
First Year Students ◽  
History Analysis ◽  
Enrollment Data ◽  
First Time ◽  
The Relationship

Students change their majors for various reasons, and academic advisors often assume the role of facilitating that change through institutional agreements or contracts. Therefore, advisors need to identify time periods during enrollment with the greatest likelihood that students will seek to change majors. They must also examine the student characteristics associated with changing majors so that advisors can identify students to avoid delays to graduation. The relationship between student characteristics and the likelihood of changing majors over time was studied through event history analysis techniques applied to enrollment data for a cohort of first-time first-year students.

scholarly journals Young British adults’ homeownership circumstances and the role of intergenerational transfers

2020 ◽  
Vol 11 (3) ◽  
pp. 383-407
Author(s):  
Ellie Suh
Keyword(s):  
Young Adults ◽  
Family Support ◽  
Financial Support ◽  
Event History Analysis ◽  
House Prices ◽  
Intergenerational Transfers ◽  
Event History ◽  
Parental Home ◽  
History Analysis

Despite the continuing preference for homeownership, it has become increasingly difficult for young adults to own a home in Britain. House prices have increased faster than real earnings between the mid-1990s and the 2010s, resulting in significantly deteriorated affordability. Mortgage products have also become less accessible, as a large deposit has been required to secure the loan after the financial crisis of 2008/09. Previous studies point to the increasing role of intergenerational transfers in filling this gap. Some young adults obtain help from family to become homeowners, either receiving monetary support or by saving through living at the parental home. Using the Wealth and Assets Survey, this study attempts to examine the effect of these two types of family financial support on young adults’ homeownership circumstances, and controlling for other characteristics such as parental homeownership. First, it examines the characteristics of homeowners among young adults cross-sectionally using logistic regression. Second, by focusing on the non-homeowner subsample it analyses the effect of direct (money) and indirect (co-residence) family support on young adults’ entry to homeownership in the six-year period using discrete-time event history analysis. The results show that chances of young adults’ homeownership between 2008/10 and 2014/16 are very much tied to family support. The odds of becoming homeowners who have received direct or indirect support are found to be three times higher, even after accounting for other characteristics.

scholarly journals A training manual for event history analysis using longitudinal data

2019 ◽  
Author(s):  
Philippe Bocquier ◽  
Carren Ginsburg ◽  
Mark A. Collinson
Keyword(s):  
Longitudinal Data ◽  
Event History Analysis ◽  
Research Note ◽  
Event History ◽  
Data Repository ◽  
Training Manual ◽  
Full Potential ◽  
Micro Data ◽  
Cross Sectional ◽  
History Analysis

Abstract Objective: This research note reports on the activities of the Multi-centre Analysis of the Dynamics of Internal Migration And Health (MADIMAH) project aimed at collating and testing of a set of tools to conduct longitudinal event history analyses applied to standardised Health and Demographic Surveillance System (HDSS) datasets. The methods are illustrated using an example of longitudinal micro-data from the Agincourt HDSS, one of a number of open access datasets available through the INDEPTH iShare2 data repository. The research note documents the experience of the MADIMAH group in analysing HDSS data and demonstrates how complex analyses can be streamlined and conducted in an accessible way. These tools are aimed at aiding analysts and researchers wishing to conduct longitudinal data analysis of demographic events. Results: The methods demonstrated in this research note may successfully be applied by practitioners to longitudinal micro-data from HDSS, as well as retrospective surveys or register data. The illustrations provided are accompanied by detailed, tested computer programs, which demonstrate the full potential of longitudinal data to generate both cross-sectional and longitudinal standard descriptive estimates as well as more complex regression estimates.

scholarly journals A training manual for event history analysis using longitudinal data

2019 ◽  
Author(s):  
Philippe Bocquier ◽  
Carren Ginsburg ◽  
Mark A. Collinson
Keyword(s):  
Longitudinal Data ◽  
Event History Analysis ◽  
Research Note ◽  
Event History ◽  
Data Repository ◽  
Training Manual ◽  
Full Potential ◽  
Micro Data ◽  
Cross Sectional ◽  
History Analysis

Abstract Objective: This research note reports on the activities of the Multi-centre Analysis of the Dynamics of Internal Migration And Health (MADIMAH) project aimed at collating and testing of a set of tools to conduct longitudinal event history analyses applied to standardised Health and Demographic Surveillance System (HDSS) datasets. The methods are illustrated using an example of longitudinal micro-data from the Agincourt HDSS, one of a number of open access datasets available through the INDEPTH iShare2 data repository. The research note documents the experience of the MADIMAH group in analysing HDSS data and demonstrates how complex analyses can be streamlined and conducted in an accessible way. These tools are aimed at aiding analysts and researchers wishing to conduct longitudinal data analysis of demographic events. Results: The methods demonstrated in this research note may successfully be applied by practitioners to longitudinal micro-data from HDSS, as well as retrospective surveys or register data. The illustrations provided are accompanied by detailed, tested computer programs, which demonstrate the full potential of longitudinal data to generate both cross-sectional and longitudinal standard descriptive estimates as well as more complex regression estimates.

Political Protest and Policy Change: The Direct Impacts of Indian Anti-Privatization Mobilizations, 1990-2003

2005 ◽  
Vol 10 (3) ◽  
pp. 383-396 ◽  
Author(s):  
Katrin Uba
Keyword(s):  
Event History Analysis ◽  
Event History ◽  
Policy Outcomes ◽  
Political Protest ◽  
Direct Impact ◽  
Movement Activity ◽  
Financial Situation ◽  
History Analysis ◽  
Privatization Policy

This study explores the mechanisms of how social movements' activities influence public policy by focusing on the role of protest characteristics. By applying an event history analysis to the data on India's anti-privatization movement activity between 1990-2003, I demonstrate that favorable policy outcomes are more likely in cases where the movement uses large or economically disruptive protests. Although privatization policy is primarily dependent on the financial situation of the enterprise, protests against privatization had significant direct impact on policy. The results of this study allow for the argument that threatening rather than persuasive tactics offer an explanation of the direct impact of social movement actions.

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

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.

Sign in / Sign up

Export Citation Format

Share Document