Incomplete data is a common problem of survey research. Recent work on multiple imputation techniques has increased analysts? awareness of the biasing effects of missing data and has also provided a convenient solution. Imputation methods replace non-response with estimates of the unobserved...

With proactive dependent interviewing respondents are reminded of the answer they gave in the previous interview, before being asked about their current status. We examine the risk that respondents falsely confirm the answers from the previous interview as still applying, using data from a panel...

Only scarce information is available on doctorate recipients' career outcomes in Germany (BuWiN 2013). With the current information base, graduate students cannot make an informed decision whether to start a doctorate (Benderly 2018, Blank 2017). Administrative labour market data could provide...

In light of Germany's transition approaches towards a sustainable energy system this paper examines differences of employment structure and wage differentials between renewable energy establishments and their sector peers. To do so, we have developed a novel data set by linking company-level...

Only scarce information is available on doctorate recipients' career outcomes in Germany (BuWiN 2013). With the current information base, graduate students cannot make an informed decision whether to start a doctorate (Benderly 2018, Blank 2017). Administrative labour market data could provide...

In light of Germany´s transition approaches towards a sustainable energy system this paper examines differences of employment structure and wage differentials between renewable energy establishments and their sector peers. To do so, we have developed a novel data set by linking company-level...

With proactive dependent interviewing respondents are reminded of the answer they gave in the previous interview, before being asked about their current status. We examine the risk that respondents falsely confirm the answers from the previous interview as still applying, using data from a panel...

This paper discusses the importance of the Legal Entity Identifier (LEI),1 particularly its role in monitoring systemic risk, and provides background material for Recommendation ESRB/2020/12 on identifying legal entities in order to support its implementation in the European Union.

This article presents a comprehensive approach to probabilistic linkage of German company data using Machine Learning and Natural Language Processing techniques. Here, the long-running ifo Institute surveys are linked to financial information in the Orbis database by addressing the unique...

When modelling data generated from a discrete choice contingent valuation question, the treatment of zero bids affects the welfare estimates. Zero bids may come from respondents who are not interested in the provision of the public good; alternatively, some zero-bidders may be protesting about...