On the links between employment, partnership quality, and the desire to have a first child

We examine the impact of precarious work (low income and job security satisfaction) on the intention to have a first child. We consider a direct and an indirect effect; the latter is mediated by partners’ conflict behaviour, conflict level, and partnership quality. We assume that a satisfactory partnership is positively associated with the intention to have a first child. The analyses are based on a subsample of the German Generations and Gender Survey. For men we found a direct effect of income and an indirect effect of job security satisfaction on childbearing intentions, whereas for women no direct and only a weak indirect impact of precarious work could be observed.employment, fertility, partnerships

How Do Internet-Related Characteristics Affect Whether Members of a German Mixed-Mode Panel Switch from the Mail to the Web Mode?

In recent years, several longitudinal studies have transitioned from an interviewer-administered to a mixed-mode design, using the internet as one of the modes of data collection. However, a substantial proportion of panelists are reluctant to participate in web surveys when offered a choice in an ongoing mixed-mode panel. We still know little about the characteristics of panel members that drive them to comply with the request to complete surveys via the internet. This study aims to fill this gap by investigating how internet-related characteristics are linked to the willingness of panelists to switch from the mail mode to the web. We use data from multiple waves of the GESIS Panel, a probability-based mixed-mode panel in Germany (N = 5734). A web-push intervention motivated 28% of 1364 panelists of the mail mode to complete the survey online in a single wave and 70% of these 380 short-term switchers to switch to the web mode permanently. We measured indicators of internet use, internet skills, and attitudes toward the internet as potential mechanisms of this short-term and long-term mode switching in the two waves before the intervention. Our results suggest that internet use and internet skills affect respondents’ willingness to switch modes in a single wave. For these short-term switchers, however, none of the internet-related characteristics could explain mode switching in the long term. We also present self-reported reasons by panelists for not accepting the offer to switch modes that correspond to these findings. The results of this study can be used to develop effective push-to-web methods for longitudinal mixed-mode surveys

Now, later, or never? Using response-time patterns to predict panel attrition

Preventing panel members from attriting is a fundamental challenge for panel surveys. Research has shown that response behavior in earlier waves (response or nonresponse) is a good predictor of panelists’ response behavior in upcoming waves. However, response behavior can be described in greater detail by considering the time until the response is returned. In the present study, we investigated whether respondents who habitually return their survey late and respondents who switch between early and late response in multiple waves are more likely to attrit from a panel. Using data from the GESIS Panel, we found that later response is related to a higher likelihood of attrition (AME = 0.087) and that response-time stability is related to a lower likelihood of attrition (AME = −0.013). Our models predicted most cases of attrition; thus, survey practitioners could potentially predict future attriters by applying these models to their own data

Investigating selection bias of online surveys on coronavirus-related behavioral outcomes

The coronavirus SARS-CoV-2 outbreak has stimulated numerous online surveys that are mainly based on online convenience samples or commercial online access panels where participants select themselves. The results are, nevertheless, often generalized to the general population. In our paper we investigate the potential bias that is introduced by respondents' self-selection. The analysis is based on survey data of the "GESIS Panel Special Survey on the Coronavirus SARS-CoV-2 Outbreak in Germany", together with background information of the GESIS Panel. Our analyses show indication of a nonignorable amount of selection bias for measures of personality traits among online survey respondents. This provides some evidence that participating in an online survey and complying with measures that can minimize the risk of being infected with the SARS-CoV-2 virus are confounded. Hence, generalizing these results to the general population bears the risk of over or underestimating the share of the population that complies with specific measures

Which design works? A meta-regression analysis of the impacts of R&D tax incentives

A growing interest in R&D tax incentives as a way to sustain research and innovation efforts has given rise to a large number of evaluations. The absence of consensus in the literature about their impact on R&D is intertwined with the variety of underpinning R&D tax incentives designs. Our meta-analysis aims at explaining this heterogeneity by the designs characteristics of R&D tax incentives. We find that the type of design has a distinct impact on R&D demand in the short run. We argue that these distinct effects are the results of managing a trade-off between providing strong incentives for R&D and simplicity to claim R&D deduction. In this respect, incremental and volume-based designs find a balance between both dimensions while hybrid designs lack clarity and predictability in the short run. Their respective effect can be moderated by additional features (i.e. generosity, targeting rules) even if the latter increases complexity and decreases predictability. We conclude by highlighting the importance of having a stable, clear, and simple framework to enhance the effect of R&D tax incentives

Does personality predict responses to the COVID-19 crisis? Evidence from a prospective large-scale study

The COVID-19 pandemic has significantly disrupted people's daily routines and infused their lives with considerable insecurity and uncertainty. However, individuals' responses to the pandemic vary widely. The present study investigates the role of personality traits for key aspects of people's responses to the COVID-19 crisis. In a prospective design using a large-scale panel study (N = 2217) that represents the heterogeneity of the adult population in Germany, we examined whether Big Five domains and facets measured prior to the pandemic predicted individuals' responses to the pandemic in terms of: (a) perceptions of infection risks; (b) behavioral changes to prevent infection; (c) beliefs in the effectiveness of policy measures to combat the further spread of coronavirus; and (d) trust in relevant policymakers and institutions regarding the handling of coronavirus. Results revealed that personality explained only a small portion (between 0.6% and 3.8%) of the variance in the four outcomes. Nonetheless, several Big Five domains and facets had at least small-to-moderate, and theoretically plausible, associations with the outcomes. Overall, Agreeableness and its Trust facet showed the most robust associations with the four outcomes. Most trait-outcome associations were also robust to controlling for three possible confounders (sex, age, and risk-group membership)

Multiple imputation of partially observed covariates in discrete-time survival analysis

Discrete-time survival analysis (DTSA) models are a popular way of modeling events in the social sciences. However, the analysis of discrete-time survival data is challenged by missing data in one or more covariates. Negative consequences of missing covariate data include efficiency losses and possible bias. A popular approach to circumventing these consequences is multiple imputation (MI). In MI, it is crucial to include outcome information in the imputation models. As there is little guidance on how to incorporate the observed outcome information into the imputation model of missing covariates in DTSA, we explore different existing approaches using fully conditional specification (FCS) MI and substantive-model compatible (SMC)-FCS MI. We extend SMC-FCS for DTSA and provide an implementation in the smcfcs R package. We compare the approaches using Monte Carlo simulations and demonstrate a good performance of the new approach compared to existing approaches

In Search of the Best Response Scale in a Mixed-mode Survey (Web and Mail): Evidence from MTMM Experiments in the GESIS Panel

Mixed-mode surveys allow researchers to combine the advantages of multiple modes, for example, the low cost of the web mode with the higher coverage of offline modes. One drawback of combining modes is that there might be systematic differences in measurement across modes. Thus, it would be useful to know which measurement methods work best in all employed modes. This study sets out to find a method that results in the highest measurement quality across self-administered web mode questionnaires (web mode) and self-administered paper questionnaires sent out by mail (mail mode). Two Multitrait-Multimethod (MTMM) experiments employing questions on environmental attitudes and supernatural beliefs were implemented in the GESIS Panel, a probability-based panel in Germany. The experiments were designed to estimate the measurement quality of three different response scales: A seven-point fully labelled scale, a 101-point numerical openended scale and an eleven-point partially labelled scale. Our results show that the elevenpoint partially labelled scale consistently leads to the highest measurement quality across both modes. We thus recommend using eleven-point partially labelled scales when measuring attitudes or beliefs in mixed-mode surveys combining web and mail mode

Exportchancen und Unterstützungsbedarf im Bereich erneuerbare Energien

Die Erneuerbare-Energien-Branche stellt einen wichtigen Wirtschaftsfaktor mit wachsender Exportbedeutung dar. Dienstleistungsunterneh- men, die ihre bestehenden Exportpotenziale noch nicht ausschöpfen, benötigen spezifische Internationalisierungsstrategien und angepasste Unterstützungsmaßnahmen