We empirically investigate the economic impact of natural disasters on food prices and production. We address the key issues of data aggregation and counterfactual biases. Our data set consists of regional information on prices and production for fourteen food products in Peru. This granularity...

We propose an observation-driven dynamic common factor model for missing value imputation in high-dimensional panel data. The model exploits both serial and cross-sectional information in the data and can easily cope with time-variation in conditional means and variances, as well as with either...

We analyze a large panel of units grouped by shared extreme value indices (EVIs) and aim to identify these unknown groups. To achieve this, we order the Hill estimates of individual EVIs and segment them by minimizing the total squared distance between each estimate and its corresponding group...

Sample R is a refreshment sample of the SOEP-Core. We apply a stratified two-stage sampling design to draw a sample of anchor persons from the population register. We oversample former lignite mining regions (brown coal) all over Germany as well as the younger part of the general population aged...

This paper provides details on the sampling design, the fieldwork, as well as nonresponse and population adjustments for the 2022 sample M8b. The survey is conducted in cooperation between the Institute for Employment Research (IAB) and the Socio-Economic Panel (SOEP). Sample M8b contributes to...