We present an approach for studying three quality issues related to survey data, namely the detection of interviewer misbehaviour, the correct implementation of the questionnaire programming and possible redundant paths, which lead to case numbers hindering feasible statistical analysis. The idea is using a theoretical graph model for describing all possible paths through...
Angesichts der Alterung der Gesellschaft und der hohen Kosten für die Unterstützung und Pflege in privaten Haushalten stellt sich die Frage, welche Rolle assistive Roboter spielen können. Dieser Beitrag richtet sich auf die Frage, inwieweit Roboter in der Pflege heute von der erwachsenen Bevölkerung in Deutschland akzeptiert werden. Und inwieweit beeinflussen Geschlecht, Alter und Erfahrung (beruflich, ...
People differ in their willingness to take risks. Recent work found that revealed preference tasks (e.g., laboratory lotteries)—a dominant class of measures—are outperformed by survey-based stated preferences, which are more stable and predict real-world risk taking across different domains. How can stated preferences, often criticised as inconsequential “cheap talk,” be more valid and predictive ...
A major challenge for proxy vector autoregressive analysis is the construction of a suitable instrument variable for identifying a shock of interest. We propose a simple proxy that can be constructed whenever the dating and sign of particular shocks are known. It is shown that the proxy can lead to impulse response estimates of the impact effects of the shock of interest that are nearly as efficient ...
Utilizing the data of a large nationwide household survey conducted in 2014, we investigatepublic preferences on nuclear power in Japan after the Fukushima nuclear accident and the role offour sets of factors: (1) household/individual socioeconomic characteristics, (2) psychological status,(3) geographical aspects, and (4) Fukushima accident-related experiences. The preferred energy mix,according to ...
In conventional structural vector autoregressive models it is assumed that there are at most as manystructural shocks as there are variables in the model. It is pointed out that heteroskedasticity can beused to identify more shocks than variables. Results are provided that allow a researcher to assesshow many shocks can be identified from specific forms of heteroskedasticity.
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