Poupakis, Stavros;
Salustri, Francesco;
(2024)
Asynchronous fieldwork in cross-country surveys: an application to physical activity.
Empirical Economics
, 67
(3)
pp. 1303-1318.
10.1007/s00181-024-02582-3.
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Abstract
Multi-country surveys often aim at cross-country comparisons. A common quality standard is conducting these surveys within a common fieldwork period, across all participating countries. However, the rate the target sample is achieved within that fieldwork period in each country varies substantially. Thus, the distribution of the interview month often varies substantially in the final sample. This may lead to biased estimates of cross-country differences if the variable of interest exhibit a non-constant trend over time. We demonstrate the implications of such an asynchronous fieldwork, using physical activity measured in the European Social Survey Round 7 collected between September 2014 and January 2015. Accounting for fieldwork month, we present a set of different post-estimation predictions. Physical activity varies across interview month, with countries with more observations during autumn were upward-biased, compared to countries with more observations during winter. Our results demonstrate how comparisons between countries are affected when interview month is omitted, and how accounting for interview month in the analysis is an easy way to mitigate this problem.
| Type: | Article |
|---|---|
| Title: | Asynchronous fieldwork in cross-country surveys: an application to physical activity |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1007/s00181-024-02582-3 |
| Publisher version: | http://dx.doi.org/10.1007/s00181-024-02582-3 |
| Language: | English |
| Additional information: | Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
| Keywords: | Social Sciences, Economics, Social Sciences, Mathematical Methods, Business & Economics, Mathematical Methods In Social Sciences, Multi-country surveys, Cross-country comparison, Survey methodology, I10, C81, C83, SEASONAL-VARIATION, WEIGHT, ADULTS |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute for Global Health |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10199612 |
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