Data Prerequisites

René Michel, Igor Schnakenburg and Tobias von Martens
Additional contact information
René Michel: Deutsche Bank AG
Igor Schnakenburg: DeTeCon International GmbH
Tobias von Martens: Deutsche Bank AG

Chapter Chapter 8 in Targeting Uplift, 2019, pp 191-239 from Springer

Abstract: Abstract A suitable database is crucial for the development and application of uplift models. Thus, this chapter formulates data requirements of uplift modeling and suggests ways to make this data available. The retrieval and aggregation of data on the impact of historical (or analysis) treatments is explained. Moreover, it is shown that a bias associated with the choice of historical data has an impact on the development of uplift models. This chapter concludes with an analysis of suitable target and control group sizes as well as the adjustment of data by sampling in order to enable a model improvement.

Date: 2019
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:978-3-030-22625-1_8

Ordering information: This item can be ordered from
http://www.springer.com/9783030226251

DOI: 10.1007/978-3-030-22625-1_8

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 ().