A Note on the Carlson-Parkin Method of Quantifying Qualitative Data

KOF Working Paper No. 168

29 Pages Posted: 3 Jul 2007

See all articles by Christian Müller-Kademann

Christian Müller-Kademann

ETH Zürich - Swiss Economic Institute; Jacobs University

Aniela Wirz

Swiss Federal Institute of Technology Zurich (ETH) - Institute for Business Cycle Research

Nora Sydow

Swiss Federal Institute of Technology Zurich - Swiss Institute for Business Cycle Research

Date Written: May 2007

Abstract

Qualitative surveys enjoy huge popularity among business cycle analysts and research institutes since they provide fast information on the stance of the economy. However, in order to derive quantitative statements researchers have to rely on assumptions about the relation between quantitative and qualitative information. This paper introduces a micro data set that combines individual quantitative and qualitative information and presents first tests of common assumptions. It suggests a modification of the Carlson-Parkin (Carlson & Parkin 1975) method and a solution to the zero response problem.

Keywords: rational expectations, quantification, survey data

JEL Classification: C42, C82, E2, D10

Suggested Citation

Müller-Kademann, Christian and Müller-Kademann, Christian and Wirz, Aniela and Sydow, Nora, A Note on the Carlson-Parkin Method of Quantifying Qualitative Data (May 2007). KOF Working Paper No. 168, Available at SSRN: https://ssrn.com/abstract=997982 or http://dx.doi.org/10.2139/ssrn.997982

Christian Müller-Kademann (Contact Author)

ETH Zürich - Swiss Economic Institute ( email )

Zurich, CH-8092
Switzerland

HOME PAGE: http://www.s-e-i.ch

Jacobs University

Campus Ring 1
Research V, Room 40
Bremen, 28759
Germany

HOME PAGE: http://www.s-e-i.ch

Aniela Wirz

Swiss Federal Institute of Technology Zurich (ETH) - Institute for Business Cycle Research ( email )

CH-8092 Zurich
Switzerland
+41 1 632 51 78 (Phone)

Nora Sydow

Swiss Federal Institute of Technology Zurich - Swiss Institute for Business Cycle Research ( email )

Weinbergstrasse 35
ETH Zentrum
Zurich, 8092
Switzerland

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