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In Egypt, the IUD is the most common contraceptive method since 1988 and has remained so despite a recent drop in its share from 59.9% in 2008 to 51.5% in 2014 in favour of hormonal methods, which increased from 19.7% for pills and 12.3% for injectables in 2008 to 27.4% and 14.5% in 2014 according to 2014 Egypt demographic and health survey (EDHS). The recent shift away from intrauterine contraceptive device (IUDs) to hormonal methods have contributed to increased discontinuation. This paper aims to answer three questions: To what extent does the method type influence the hazard of contraceptive discontinuation in Egypt? Is the interaction between method type and duration of use a predictor of the probability of discontinuation after controlling other variables? What are the other important background variables that affect the hazard of contraceptive discontinuation?

Using data from EDHS2014, separate multilevel discrete-time proportional hazard models for events of interest (abandoned use while in need, switched to another method in the month following discontinuation and method failure) were built.

Only IUD users are significantly less likely to abandon use while in need and to experience method failure and a reduced risk of switching. During the first 6–10 months of use, all types of discontinuation can be significantly reduced for all three methods. Demographic variables do not significantly affect abandonment but strongly affect switching and significantly affect failure. Socio-economic variables do not significantly affect abandonment and switching. Exposure to media has a significant effect on abandonment but not on switching. Community contraceptive prevalence rate strongly affects switching.

Results confirm that the counselling should be more intense during the first year of method use and should pay special attention to women who are 25 years old and above and those who have two or more children. Also, media campaigns are important and especially those addressing the issue of abandoning while in need.

The administration of social assistance benefits is devolved to local agencies in Belgium, which raises questions about how much variation in spell lengths of benefit receipt is associated with differences across agencies. We address this issue by analysing the monthly hazard of benefit exit using administrative record data for 14,270 individuals in 574 welfare agencies. Our random-effects model allows for differences in both the observed and unobserved characteristics of beneficiaries and of local agencies. There are large differences in median benefit duration for individuals serviced by different welfare agencies: the range is from two months to more than 24 months. We find strong associations between beneficiary characteristics (sex, age, foreign nationality, citizenship acquisition, work history and being a student) and spell length. The estimates show higher odds of exiting social assistance receipt in bigger municipalities and in agencies which provide more generous supplementary assistance, and also strong evidence of shorter episodes in agencies where active labour market programme participation rates are higher.

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.

The purpose of this paper is to examine the effect employed friends have on the probability of exiting unemployment of an unemployed worker according to his/her educational (skill) level.

In common with studies on unemployment duration, this paper uses a discrete-time hazard model.

The paper finds that the conditional probability of finding work is between 24 and 34 per cent higher per period for each additional employed friend for job seekers with intermediate skills.

These results are of interest since they suggest that the reach of national employment agencies could extend beyond individuals in direct contact with first-line employment support bureaus.

Because of the lack of appropriate longitudinal information, the majority of empirical studies in the area assess the influence of social networks on employment status using proxy measures of social interactions. The current study contributes to the very limited empirical literature of the influence of social networks on job attainment using direct measures of social structures.

The high turnover of new graduate employees has become a concern for many organizations in Korea. This study explores when new graduate employees leave first jobs and what makes these employees decide to leave employees' organizations.

Using national panel data from South Korea, the authors employed a survival analysis and examined the factors that explain the turnover of new graduate employees.

The findings of this study reveal that many new graduate employees leave the employees' organizations within two years. Moreover, work conditions, work satisfaction and job-skill match were associated with new graduate employee turnover.

Based on the results of survival analysis derived from actual turnover data, not turnover intentions, the authors emphasize appropriate human resources (HR) intervention, a working environment and organizational culture, and employee development opportunities.

The paper analyses the effects of individual and household characteristics on current poverty status, while controlling for initial conditions, past poverty status and unobserved heterogeneity in 14 European countries for the period 1994–2001, using the European Community Household Panel. The distinction between true state dependence and individual heterogeneity has important policy implications, since if the former is the main cause of poverty it may be crucial to break the ‘vicious circle’ of poverty using income-supporting social policies, whereas if it is the latter anti-poverty policies should focus primarily on education, training, development of personal skills and other labour market oriented policies. The empirical results are similar in qualitative terms but rather different in quantitative terms across the EU countries covered in the paper. State dependence remains significant in all model specifications, even after controlling for unobserved heterogeneity or when removing possible endogeneity bias. Higher poverty rates and higher poverty persistence are associated with particular welfare state regimes, although the link is substantially weakened when other explanatory variables are included in the analysis.

This integrative review aimed to identify and synthesis literature on analysis techniques and methodological approaches used to analyse consumer measures in mental health research.

The review included papers published up to January 2020 across seven databases: CINAHL, Web of Science, Medline, PsycINFO, EMBASE, Scopus and Google Scholar. Data search and extraction was conducted according to the recommended guidelines for conducting review by Cochrane and Joanna Briggs Institute. Mixed method synthesis was used to integrate both qualitative and quantitative data into a single synthesis.

The initial search yielded a total of 2,282 papers. A total of 32 papers were included in the synthesis. Most of the included papers (25/32; 78.12%) focused on psychometric properties, whereas 14% (5/32) targeted analysis techniques, and 6.3% (2/32) addressed methodological justification. The measurement models (e.g. psychometric properties) were analysed through validity and reliability testing as part of instrument development and adaptation. The structural models were analysed using techniques such as structural equation modelling, multivariable regression models, intraclass correlation coefficient and partial least squares–structural equation modelling.

Although consumer-reported instruments are analysed using techniques involving linear, hierarchical and longitudinal effects, no attempt has been given to procedures that applied complex data mining or machine learning. Consumer researchers, clinicians and quality management are encouraged to apply rigorous analysis techniques to critically evaluate consumer outcome measures.

This review provides evidence on the analysis techniques in mental health research to inform the training of mental health professionals, students and quality assessment practitioners.

The purpose of this paper is to examine the school-to-work transition of young people from subsequent school exit cohorts between 2001 and 2012 in Egypt, thus, presenting an early evidence on the adjustments of the labor market in terms of patterns of youth transition to a first job following the 2011 Egyptian uprising.

The analysis compares the early employment outcomes of those who left school after the January 25, 2011 uprising to that of those who left before 2011. The authors also separately control for the cohorts who left school in 2008 and 2009, in an attempt to disentangle any labor market adjustments that might have happened following the financial crisis, and before the revolution. Using novel and unexploited representative data from the 2014 Survey of Young People in Egypt (SYPE), the authors estimate the probability of transition to any first job within 18 months from leaving education and that of the transition to a good-quality job, controlling for the year of school exit. The authors also estimate the hazard of finding a first job and a good-quality job using survival analysis.

School exit cohorts of 2008–2009 (following the financial crisis) and those of 2011–2012 (in the aftermath of the 2011 uprisings) experienced a significantly higher likelihood of finding a first job within 18 months than that of the cohorts of 2001–2007. However, this came at the expense of the quality of job, conditional on having found a first job. The results of the hazard model show that school leavers after 2008 who were not able to transition to a job shortly after leaving school experienced longer unemployment spells than their peers who left school before 2007. The odds of finding a good-quality job appears to decline with time spent in non-employment or in a bad-quality first job.

This paper contributes to a limited, yet growing, literature on how school-to-work transition evolved during the global financial crisis and the Egyptian 2011 revolution. Using data from SYPE 2014, the most recent representative survey conducted in Egypt on youth and not previously exploited to study youth school-to-work transition, the paper investigates the short-term adjustments of the youth labor market opportunities during that critical period of Egypt and the region’s history.

This study investigates what causes businesses to increase their environmental stewardship beyond the governmental standards. This “beyond compliance behavior” is examined by analyzing the influence of organizational slack and institutional pressures in the European paper and paperboard industry. Beyond compliance behavior is measured as the adoption of a sustainable forestry certificate issued by the Forest Stewardship Council (FSC). The longitudinal (10-year period) dataset consists of adoption events per company, their business characteristics and historic socio-economic data per region in the respective European countries. Examination was done by means of an event history analysis using the program “R.” The results show differences between antecedents of compliance and beyond compliance behavior. The authors discuss the results in the light of institutional and stakeholder theories. Due to institutional shifts in environmental demands, adoption of an FSC certificate has become an off-the-shelf compliance answer to legitimacy issues disguised as a progressive environmental stewardship program.

The authors propose a framework to estimate the probability of being poor in a dynamic setting based on a large information set that includes individual characteristics and macro-economic variables. The joint inclusion of personal characteristics along with contextual factors allows separation of idiosyncratic shocks from aggregate shocks affecting poverty. The authors combine data from different cross-sectional surveys and fit a dynamic logistic hierarchical model within a Bayesian framework using standard Markov chain Monte Carlo techniques. The authors’ approach is exemplified by estimating household poverty status in Kyrgyz Republic as a function of time, regions, country, regional level variables and household level socio-demographic characteristics.