EconPapers    
Economics at your fingertips  
 

Causal Analysis with Randomized Field Experiment

Xiaojing Dong ()
Additional contact information
Xiaojing Dong: Santa Clara University, Leavey School of Business

Chapter Chapter 11 in Marketing Analytics and Data Science, 2026, pp 205-218 from Springer

Abstract: Abstract The study of cause-and-effect relationships dates back to ancient philosophy when early thinkers sought to explain the forces shaping the world around them. In the modern era, the ability to identify causes behind observed phenomena has become fundamental across disciplines such as business, science, and economics. The goals of finding answers to these questions have shifted from satisfying curiosity in ancient times to seeking ways to change the outcomes in modern days.

Date: 2026
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:978-3-032-11130-2_11

Ordering information: This item can be ordered from
http://www.springer.com/9783032111302

DOI: 10.1007/978-3-032-11130-2_11

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 ().

 
Page updated 2026-05-29
Handle: RePEc:spr:sprchp:978-3-032-11130-2_11