EconPapers    
Economics at your fingertips  
 

Measurement and Metrics

Matthias Blum

Chapter 44 in An Economist’s Guide to Economic History, 2018, pp 379-384 from Palgrave Macmillan

Abstract: Abstract Measuring variables that accurately reflect the desired effect is part of designing successful statistical and econometric studies. This chapter discusses challenges related to data compilation and how inadequate proxies, selection bias and measurement error can undermine empirical projects. Two examples illustrate how mismeasurement has been successfully exploited in recent studies in economic history.

JEL-codes: C43 C52 C81 C82 E01 N01 (search for similar items in EconPapers)
Date: 2018
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:pal:palscp:978-3-319-96568-0_44

Ordering information: This item can be ordered from
http://www.palgrave.com/9783319965680

DOI: 10.1007/978-3-319-96568-0_44

Access Statistics for this chapter

More chapters in Palgrave Studies in Economic History from Palgrave Macmillan
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-31
Handle: RePEc:pal:palscp:978-3-319-96568-0_44