Survey Methodology
Daily rhythm of data quality: Evidence from the Survey of Unemployed Workers in New Jersey

by Jorge González ChapelaNote 1

  • Release date: December 20, 2024
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Abstract

This paper investigates whether survey data quality fluctuates over the day. After laying out the argument theoretically, panel data from the Survey of Unemployed Workers in New Jersey are analyzed. Several indirect indicators of response error are investigated, including item nonresponse, interview completion time, rounding, and measures of the quality of time diary data. The evidence that we assemble for a time of day of interview effect is weak or nonexistent. Item nonresponse and the probability that interview completion time is among the 5% shortest appear to increase in the evening, but a more thorough assessment requires instrumental variables.

Key Words:    Panel data; Survey data quality; Survey of Unemployed Workers in New Jersey; Time of day.

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How to cite

González Chapela, J. (2024). Daily rhythm of data quality: Evidence from the Survey of Unemployed Workers in New Jersey. Survey Methodology, 50(2), 513-541. Paper available at http://www.statcan.gc.ca/pub/12-001-x/2024002/article/00002-eng.pdf.

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ISSN : 1492-0921

Editorial policy

Survey Methodology publishes articles dealing with various aspects of statistical development relevant to a statistical agency, such as design issues in the context of practical constraints, use of different data sources and collection techniques, total survey error, survey evaluation, research in survey methodology, time series analysis, seasonal adjustment, demographic studies, data integration, estimation and data analysis methods, and general survey systems development. The emphasis is placed on the development and evaluation of specific methodologies as applied to data collection or the data themselves. All papers will be refereed. However, the authors retain full responsibility for the contents of their papers and opinions expressed are not necessarily those of the Editorial Board or of Statistics Canada.

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Published by authority of the Minister responsible for Statistics Canada.

© His Majesty the King in Right of Canada, as represented by the Minister of Industry, 2024

Use of this publication is governed by the Statistics Canada Open Licence Agreement.

Catalogue No. 12-001-X

Frequency: Semi-annual

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