Quantification of Qualitative Data Using Ordered Probit Models with an Application to a Business Survey in the German Service Sector

20 Pages Posted: 20 May 2003

See all articles by Ulrich Kaiser

Ulrich Kaiser

University of Southern Denmark - Faculty of Social Sciences; Center for Economic and Business Research (CEBR); Centre for European Economic Research

Alexandra Spitz

affiliation not provided to SSRN

Date Written: November 2000

Abstract

This paper aims at providing business survey analysts with simple econometric tools to quantify qualitative survey data. We extend the traditional and commonly applied method proposed by Carlson and Parkin (1975) to capture observable survey respondent heterogeneity. We also discuss specification tests. The empirical analysis is based on business survey data taken from the ZEW's 'Service Sector Business Survey', a quarterly business survey in the German business-related service sector carried out since 1994.

Keywords: quantification technique, ordered probit, specification tests

JEL Classification: C25, L8

Suggested Citation

Kaiser, Ulrich and Spitz, Alexandra, Quantification of Qualitative Data Using Ordered Probit Models with an Application to a Business Survey in the German Service Sector (November 2000). ZEW Discussion Paper No. 00-58, Available at SSRN: https://ssrn.com/abstract=379384 or http://dx.doi.org/10.2139/ssrn.379384

Ulrich Kaiser (Contact Author)

University of Southern Denmark - Faculty of Social Sciences ( email )

Campusvej 55
DK-5230 Odense M
Denmark

HOME PAGE: http://www.sam.sdu.dk/staff/uka

Center for Economic and Business Research (CEBR) ( email )

Porcelaenshaven, Bldg 65
DK-2000 Frederiksberg
Denmark

HOME PAGE: http://www.cebr.dk/uk

Centre for European Economic Research ( email )

P.O. Box 10 34 43
L 7,1 D-68161 Mannheim
Germany

HOME PAGE: http://www.zew.de/de/mitarbeiter/mitarbeiter.php3?action=mita&kurz=uka

Alexandra Spitz

affiliation not provided to SSRN

No Address Available

Do you have a job opening that you would like to promote on SSRN?

Paper statistics

Downloads
371
Abstract Views
2,061
rank
102,984
PlumX Metrics