Multiple imputation of missing values in survey data analysis is a state-of-the-art technique. Typically, methods like multivariate imputation by chained equations (mice, van Buuren 2018) are employed, replacing missing values on a variable-by-variable basis. Generally, the information used for imputation comes from the survey dataset being analysed. Valid analysis results are achieved when the...
FAIRness of research data, meaning that data are managed according to the principles of being Findable, Accessible, Interoperable, and Reusable, has become a ubiquitous requirement in research data policies as well as in general guidelines for research data management. Meeting this requirement largely depends on the availability of rich and standardized DDI metadata—based on the Data Documentation ...
This paper analyses determinants of pass-through for Germany’s 2022 temporary fuel discount at its implementation and subsequent termination. Based on a unique dataset of fuel station characteristics and prices, we employ a two-stage Regression Discontinuity in Time (RDiT) methodology to estimate spatial passthrough variation. Our findings indicate that horizontal and vertical market structures exert ...
