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What Does Data Quality Tell Us? Learning Local Cultural Traits from Qing China Grain Prices

SSRN Electronic Journal
2023
  • 0
    Citations
  • 1,522
    Usage
  • 0
    Captures
  • 1
    Mentions
  • 48
    Social Media
Metric Options:   Counts1 Year3 Year

Metrics Details

  • Usage
    1,522
    • Abstract Views
      1,353
    • Downloads
      169
  • Mentions
    1
    • Blog Mentions
      1
      • Blog
        1
  • Social Media
    48
    • Shares, Likes & Comments
      48
      • Facebook
        48
  • Ratings
    • Download Rank
      344,734

Article Description

We investigate the persistent impact of data misreporting from China's Qing Dynasty (1644-1912) on contemporary data quality in the country. We examine historical grain price data, collected monthly by Qing prefectural officials and reported to the central government. Using the absence of seasonal price fluctuations over extended periods as an indicator, we assess data quality. Employing an instrumental variable approach, we establish a causal link between data quality in the Qing Dynasty and data misreporting in modern China. Our findings indicate that a one-standard deviation increase in Qing data quality corresponds to a 0.16 standard deviation increase in modern data quality. This result holds under various alternative specifications, even when the analysis is limited to frequently traded major crop types from the Qing Dynasty and when different periods of modern data quality are used. Moreover, we find that the persistence of data misreporting remains evident even in prefectures that have undergone significant changes in geographical attributes. We further suggest that this persistent pattern of data misreporting is primarily influenced by cultural factors rather than geographical ones.

Bibliographic Details

T. Terry Cheung; Shaowen Luo; Kwok Ping Tsang

Elsevier BV

Culture; Historical Prices; Qing China; Principle-Agent Problem

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