Quantitative methods in accounting research

Marek Gruszczyński

No 40, Working Papers from Department of Applied Econometrics, Warsaw School of Economics

Abstract: Quantitative methods are in frequent use in modern accounting research. The evidence may be found e.g. in the journals like “Journal of Accounting Research”, “European Accounting Review”, “Review of Quantitative Finance and Accounting” or in the Accounting Research Network in SSRN base. Paper presents a brief survey of research areas and statistical-econometric approaches in accounting research. Particular reference goes to research on corporate disclosure. Methodological component of the paper includes remarks on the use of binary response models with choice-based and matched samples as well as comments on the sample selection approaches.

Keywords: accounting research; corporate disclosure; binary response; choice-based samples; matched samples; sample selection (search for similar items in EconPapers)
JEL-codes: C31 C35 M41 (search for similar items in EconPapers)
Pages: 16 pages
Date: 2009-12-30
New Economics Papers: this item is included in nep-acc and nep-dcm
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://kolegia.sgh.waw.pl/pl/KAE/struktura/IE/stru ... Papers/aewp06-09.pdf (application/pdf)
Our link check indicates that this URL is bad, the error code is: 404 Not Found (http://kolegia.sgh.waw.pl/pl/KAE/struktura/IE/struktura/ZES/Documents/Working_Papers/aewp06-09.pdf [301 Moved Permanently]--> https://kolegia.sgh.waw.pl/pl/KAE/struktura/IE/struktura/ZES/Documents/Working_Papers/aewp06-09.pdf)

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:wse:wpaper:40

Access Statistics for this paper

More papers in Working Papers from Department of Applied Econometrics, Warsaw School of Economics Contact information at EDIRC.
Bibliographic data for series maintained by Marcin Owczarczuk ( this e-mail address is bad, please contact ).