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When can we ignore measurement error in the running variable? (replication data)
In many applications of regression discontinuity designs, the running variable used to assign treatment is only observed with error. We show that, provided the observed running... -
Local Fiscal Equity in the USA (replication data)
Unlike many other countries, the United States does not have a comprehensive federal transfer scheme for explicit fiscal equalization but rather employs an array of categorical... -
The Macroeconomic Determinants of House Prices and Rents
Based on panel error correction models for a sample of up to 21 countries this paper analyses the macroeconomic determinants of house prices and rents. In accordance with the... -
Early prediction of university dropouts - a random forest approach
We predict university dropout using random forests based on conditional inference trees and on a broad German data set covering a wide range of aspects of student life and study... -
Using a Bayesian Structural Time–Series Model to Infer the Causal Impact on C...
The Bayesian structural time series model, used in conjunction with a state–space model, is a novel means of exploring the causal impact of a policy intervention. It extends the...
