Historical Datasets
Leonardo Ridolfi ()
Additional contact information
Leonardo Ridolfi: University of Siena
A chapter in Handbook of Cliometrics, 2024, pp 2751-2785 from Springer
Abstract:
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.
Keywords: Historical datasets; Quantity-quality tradeoff; Living standards; Wages (search for similar items in EconPapers)
Date: 2024
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-031-35583-7_121
Ordering information: This item can be ordered from
http://www.springer.com/9783031355837
DOI: 10.1007/978-3-031-35583-7_121
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().