We evaluate how nonresponse affects conclusions drawn from survey data and consider how researchers can reliably test and correct for nonresponse bias. To do so, we examine a survey on labor market conditions during the COVID-19 pandemic that used randomly assigned financial incentives to...

This paper introduces the 2012 round of the Egypt Labor Market Panel Survey (ELMPS), a publicly-available nationally representative longitudinal household survey. We describe the key characteristics of the ELMPS, including the samples and questionnaires for each round. Additionally, we examine...

This paper introduces the Tunisia Labor Market Panel Survey (TLMPS) of 2014, the first round of a publicly available nationally representative longitudinal household survey. We provide a description of the sample and questionnaires. We discuss a number of data collection issues, such as...

We gratefully acknowledge funding from ADR UK (Administrative Data Research UK) and the Economic and Social Research Council (Grant No. ES/T013877/1). The work is based on analysis of the research-ready datasets from the Annual Survey of Hours and Earnings (ASHE) (ONS, 2024a), Business Structure...

In order to increase transparency on the establishments, enterprises and their interconnections it is useful to have a register of these businesses. Such a business register (BR) includes not only information on regional coordinates, the legal status, the ownership, but also on the size and kind...

The European Union Statistics on Income and Living Conditions (EU-SILC) is a rotational panel provided by Eurostat that covers variables with a high potential for comparative European labour market and social research. Unfortunately, its current availability limits its potential research...

We propose a novel view of selection bias in longitudinal surveys. Such bias may arise from initial nonresponse in a probability sample, or it may be caused by self-selection in an internet survey. A contraction theorem from mathematical demography is used to show that an initial bias can...