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State of DDI Cloud

As the DDI community continues to grow, an increasing number of repositories are providing their metadata in various DDI formats. However, the current landscape of DDI metadata standards usage is not well understood. Understanding this landscape is crucial as it helps identifying usage patterns, improve interoperability, and guide future developments. To address this research gap, we investigated the ...

The Reputation Effect of Repeated Green-Bond Issuance and Its Impact on the Cost of Capital

This study explores the effect of frequent green-bond issuance on a firm's financing costs. Using a sample of listed Swedish real estate companies issuing a total of 1074 bonds over the period from 2011 to 2021, difference-in-differences analyses and instrumental variable estimations are applied to identify the causal impact of frequent green-bond vis-à-vis frequent non-green-bond issuance on a firm's ...

Plausibilisierung: Eine Handreichung zum Umgang mit inkonsistenten Daten in den Sozialwissenschaften

Die vorliegende Handreichung zeigt, dass in quantitativen, sozialwissenschaftlichen Erhebungen Unplausibilitäten entstehen können, die möglicherweise zu Auswertungsproblemen und Fehlanalysen führen. Ziel der Handreichung ist, die möglichen Probleme zu systematisieren und konkrete Hilfestellungen bei der Identifikation, dem Umgang und der Vermeidung von Unplausibilitäten zu geben. Außerdem werden Dokumentationsempfehlungen ...

Comparing External and Internal Instruments for Vector Autoregressions

In conventional proxy VAR analysis, the shocks of interest are identified by external instruments. This is typically accomplished by considering the covariance of the instruments and the reduced-form residuals. Alternatively, the instruments may be internalized by augmenting the VAR process by the instruments or proxies. These alternative identification methods are compared and it is shown that the ...

Introducing Open Data Format: A Platform-Independent, Non-Proprietary, Metadata-Enriched, Multilingual Data Format and its Implementation in R and Stata

This paper introduces the Open Data Format (ODF), a new, non-proprietary, multilingual, metadata enriched, and zip-compressed data format that meets the FAIR Guiding Principles for scientific data management and stewardship. The data format is specified as a CSV file with the raw data and an XML file containing the metadata both compressed into a zip file with the .zip extension. Data files can ...

Do talk money – Reducing income nonresponse in surveys (with Katharina Allinger)

Item nonresponse is a common issue in surveys. We implement an experiment to reduce nonresponse to income questions in an international household survey, looking at four different countries. Survey respondents are asked to report their exact household income. We randomize those who refuse to answer into two groups. In a follow-up question, the control group is asked to choose their income from a...

Special: Pre-launch presentation of SOEP Statistics – a new tool to facilitate access to weighted SOEP analyses for researchers and a broader audiencehler)

In this special Brownbag Session, we will present the platform SOEP Statistics to receive feedback from the SOEP team before we go into a final pre-launch phase. SOEP Statistics is both a data explorer and a tool to export weighted descriptive statistics of pre-screened longitudinal variables on all SOEP topics. The platform allows users to group data according to a pre-defined selection of...

Imputation of Missing Data from Split Questionnaire Designs in Social Surveys: Dissertation

Amidst the challenges of declining response rates and escalating costs in survey research, the adoption of innovative new data collection designs such as planned missingness and split questionnaire designs is becoming increasingly prevalent. This dissertation addresses the imputation of social survey data from split questionnaire designs and the methodological decisions associated with implementing ...

The Performance of Multiple Imputation in Social Surveys with Missing Data from Planned Missingness and Item Nonresponse

Designs using planned missingness, such as the split questionnaire design, are becoming more and more important in social survey research. To ensure an acceptable questionnaire length, these approaches typically entail large amounts of planned missing data, which can be imputed after data collection. However, social surveys typically also include other types of missingness such as item nonresponse ...

SOEP Annual Report 2024