IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-031-35583-7_121.html
   My bibliography  Save this book chapter

Historical Datasets

In: Handbook of Cliometrics

Author

Listed:
  • Leonardo Ridolfi

    (University of Siena)

Abstract

Datasets lie at the heart of empirical research as they provide the necessary testing ground to explore new hypotheses and firmly link ideas to reality. This chapter focuses on a specific subset of datasets, namely, the historical datasets and details their features. It also characterizes the main steps involved in dataset construction, including identification, extraction, and synthesis of the information given; it discusses selectivity issues and common biases proper to historical data and introduces the concept of quantity-quality trade-offs to dataset construction. Lastly, this chapter concentrates on wage datasets, which have taken center stage in some of the great debates in economic history and shows how they evolved through time and how their transformation might be explained as a function of technical improvements and proper analysis of the historical context.

Suggested Citation

  • Leonardo Ridolfi, 2024. "Historical Datasets," Springer Books, in: Claude Diebolt & Michael Haupert (ed.), Handbook of Cliometrics, edition 3, pages 2751-2785, Springer.
  • Handle: RePEc:spr:sprchp:978-3-031-35583-7_121
    DOI: 10.1007/978-3-031-35583-7_121
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:sprchp:978-3-031-35583-7_121. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.