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This paper studies the event-history approach to microeconometric program evaluation. We present a mixed semi-Markov event-history model, discuss its application to program evaluation, and analyze its empirical content. The results of this paper provide fundamental insights into what can be learned from longitudinal microdata about, for example, the effects of training programs for the unemployed on their unemployment durations and subsequent job stability. They can guide the choice of particular models and methods for the empirical analysis of such effects.

To review and address current approaches and limitations to modeling change over time in social entrepreneurship research.

The article provides a narrative review of different practices used to assess change over time. It also shows how different research questions require different methodologies for assessing changes over time. Finally, it presents worked examples for modeling these changes.

Our review suggests that there is a lack of research in social entrepreneurship that takes into account the many different considerations for addressing how time influences outcomes.

This chapter introduces an analytic technique to social entrepreneurship that effectively models changes in predictors and outcomes even when data are non-normal or nested across time or levels of analysis.

On the theoretical level, this chapter examines the mechanisms through which cultural and financial capital affects educational outcomes in different institutional contexts. On the methodological level, the central question in this chapter is how to resolve concerns in comparative analyses of educational attainment, such as variations in enrolment rates and study program duration across institutional settings. On the empirical level, the chapter asks whether family background predicts educational attainment in similar ways in two diametrically opposed welfare states: the United States and Norway. Differences in dropout from higher education were compared using nationally representative longitudinal data from the United States and Norway and event history and multilevel modelling techniques. The chapter also makes use of the standardized sheaf coefficient to summarize central background variables for more direct comparison of effect sizes. The findings show that whereas parents’ education level has strikingly similar effects on students’ dropout probabilities in the two countries, the effect of parents’ income varies substantially according to the institutional context. The chapter concludes that in comparative analyses of inequality in education the value of different types of family resources must be understood in light of the concrete, practical constraints of the national institutional contexts.

To identify the typical multilevel issues in social science, as well as illustrate the theoretical basis, hierarchical models and empirical exemplars of multilevel paradigm.

Hierarchical and multilevel data are extremely common in social systems, but multilevel analysis is constrained by statistical techniques. With the development of social system theory and empirical methods such as hierarchical structure modeling and latent growth modeling, multilevel paradigm can be used to analyze multilevel data. So it is necessary to identify typical multilevel phenomena in social science and discuss multilevel modeling techniques.

This paper identifies four typical multilevel phenomena in social system study: hierarchical and clustered sampling, collective construct research, longitudinal repeated measures, and event history analysis. Hierarchical structure modeling and latent growth modeling are effective multilevel analysis techniques in social science because of their advantages in the integration of social system research.

The quality and availability of multilevel data are the main limitations regarding which model will be applied.

The paper can aid the provision of effective multilevel models to social workers.

This paper provides information on application of multilevel modeling in social science.

A robust body of scholarship has attached unintended childbearing, cohabitation, and stepfamily living arrangements to a greater risk of union instability in the United States. These aspects of family life, which often co-occur, are overrepresented among disadvantaged populations, who also have an independently higher risk of union instability. Existing scholarship has modeled these family experiences as correlated events to better understand family and union instability, yet the authors assert a direct effort to test whether or how unintended childbearing differs across marital and stepfamily statuses makes important contributions to established research on relationship stability. Drawing on the 2006–2017 National Survey of Family Growth (NSFG), the authors test potential moderating effects to better understand the linkages between unintended childbearing and union dissolution among 7,864 recent, higher-order births to partnered mothers via discrete-time, event history logistic regression models. Findings confirm that unintended childbearing, cohabitation, and stepfamily status are all linked with a greater risk of dissolution. However, unintended childbearing is differentially linked to instability by marital status, with unintended childbearing being associated with a higher risk of dissolution for married couples relative to cohabiting couples. Unintended fertility does not seem to increase the risk of instability across stepfamily status. Findings provide more evidence in support of selection, rather than causation, in explaining the association between unintended childbearing and union instability among higher-order births. Results suggest that among higher-order births, unintended childbearing may reflect underlying relationship issues.

The purpose of this paper is to present competing risks models and show how dwell times can be applied to predict users’ online behavior. This information enables real-time personalization of web content.

This paper models transitions between pages based upon the dwell time of the initial state and then analyzes data from a web shop, illustrating how pages that are linked “compete” against each other. Relative risks for web page transitions are estimated based on the dwell time within a clickstream and survival analysis is used to predict clickstreams.

Using survival analysis and user dwell times allows for a detailed examination of transition behavior over time for different subgroups of internet users. Differences between buyers and non-buyers are shown.

As opposed to other academic fields, survival analysis has only infrequently been used in internet-related research. This paper illustrates how a novel application of this method yields interesting insights into internet users’ online behavior.

A key goal of any online retailer is to increase their customer conversation rates. Using survival analysis, this paper shows how dwell-time information, which can be easily extracted from any server log file, can be used to predict user behavior in real time. Companies can apply this information to design websites that dynamically adjust to assumed user behavior.

The method shows novel clickstream analysis not previously demonstrated. Importantly, this can support the move from web analytics and “big data” from hype to reality.

This study aims to explore the underlying patterns in tax innovation. Prior studies of local sales taxes still leave a gap in the literature and render the results inconclusive because the studies cover either state level or localities within a single state for a short period. To cover the gap, we assemble a dataset of counties in all states for FY1970-2006 but focus on 12 states not threatened by intra-jurisdictional competition. Our empirical analyses yield evidence that a county adopts local sales tax for political and economic rationale rather than fiscal condition. Accordingly, regional diffusion has positive effects on local sales tax adoption in a county. These findings contribute substantively to sales tax literature while confirming policy diffusion.

This paper examines the diffusion of a multinational bank’s quality initiative across functional and geographic boundaries. It demonstrates substantial regional differences in the volume and institutionalization of TQM activities, with slow development and little staying power in the U.S. and rapid expansion in Asia and Latin America. Event history analysis of quality team formation demonstrates that positive feedback occurs primarily within business divisions operating within national boundaries.

Starting in the 1960s, university systems around the world began to undergo a variety of drastic changes that would forever alter higher education. The spread of social movements were fueled by anti-war protests, demands for civil rights, and new forms of economic and political organization (Lipset, 1993). In terms of changes in universities, students demanded greater educational access and equal opportunities. A worldwide logic of inclusiveness increasingly affected national political and educational outcomes, including transformations in multiple dimensions of the status of women in the polity and in the educational system. This chapter focuses on the emergence and expansion of women's studies curricula in universities throughout the world, treating this unexpected development as a further manifestation of the globalization of a logic of inclusiveness.

This paper aims to fill the gaps by conducting the first large n study examining the role of third parties in the emergence of river agreements in Asia and Africa during the time period 1948-2007. There is a growing literature on what explains agreements in river disputes. However, beyond individual case analysis, little systematic study has been done on the role of third parties in settling river disputes through agreement, in particular on the regions that are mostly affected by the global climate change.

Through utilising new data on the role of third parties in river disputes, this study shows that third party involvement in the conflict management of river disputes increases the likelihood of reaching river agreements.

The findings suggest that third parties use both diplomatic and economic means to increase the likelihood of emergence of river agreements, and both strategies are equally important to induce formalised cooperation.

Yet the present study covers only two regions, and it does not delve into a discussion of the conditions under which third party interventions are successful. Rather, these are aspects that need to be explored in the future.

Given the current uncertainty around security challenges resulting from climate change, and with predictions of future water wars, this research contributes to the understanding how to peacefully manage current and potential conflicts around transboundary waters.

This study is the first large n study examining the role of third parties in the emergence of river agreements in Asia and Africa.