How to Scale Impact Measurement? Evaluating the Application of the Synthetic Control Method in Impact Measurement

Sina Sauer (), Rahel Becker () and Volker Then ()
Additional contact information
Sina Sauer: Fondazione AIS- Advancing Impact and Sustainability
Rahel Becker: Fondazione AIS- Advancing Impact and Sustainability
Volker Then: Fondazione AIS- Advancing Impact and Sustainability

Chapter Chapter 2 in Contemporary Issues in Sustainable Finance, 2023, pp 9-31 from Palgrave Macmillan

Abstract: Abstract The spread of impact investments from a niche field into the mainstream financial market raises new demands on impact measurement. Instead of evaluating single interventions, impact investors increasingly aim at rating large portfolios of enterprises based on comprehensive impact considerations. Thus, it is necessary to scale impact measurement and enable a large-scale quantitative and data-based impact assessment. Therefore, this paper transfers the synthetic control method, developed by Abadie & Gardeazabal (2003), into the field of impact investing, by evaluating the prerequisites for its implementation as well as discussing possible applications to a large universe of companies and a broad range of asset classes. This approach might represent a first step in developing a measurement framework for a large impact investing market, applicable in research as well as in practice.

Date: 2023
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:psifcp:978-3-031-22539-0_2

Ordering information: This item can be ordered from
http://www.palgrave.com/9783031225390

DOI: 10.1007/978-3-031-22539-0_2

Access Statistics for this chapter

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