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Segmentation model with respect to the difference in means

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Author Info
Marcin Owczarczuk () (Department of Applied Econometrics, Warsaw School of Economics)
Abstract

The aim of the paper is to formulate and solve the following segmentation problem. Given is a population described by independent variables: X1, ... , Xn, (both continuous and categorical), the continuous dependent variable Y and the two-level categorical variable $\alpha$ with levels $\alpha = 1$ and $\alpha = 0$. $\bar{Y}_{\alpha=1}$ and $\bar{Y}_{\alpha=0}$ are the means of $Y$ for observations at levels $\alpha=1$ and $\alpha=0$, respectively. The goal is to create the segments of the population, described by the independent variables, that the difference in means $\bar{Y}_{\alpha=1}-\bar{Y}_{\alpha=0}$ is the feature that distinguishes the segments. I. e. the means should be as different as possible between segments and should be similar within the segment. The solution is based on regression trees approach.

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File URL: http://www.sgh.waw.pl/instytuty/zes/wp/aewp09-06.pdf
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Publisher Info
Paper provided by Department of Applied Econometrics, Warsaw School of Economics in its series Working Papers with number 16.

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Length: 15 pages
Date of creation: 22 May 2006
Date of revision:
Handle: RePEc:wse:wpaper:16

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Postal: 02-554 Warszawa, Al. Niepodległosci 164
Web page: http://www.sgh.waw.pl/instytuty/zes
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Related research
Keywords: ANOVA; regression trees; segmentation;

Find related papers by JEL classification:
C44 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Statistical Decision Theory; Operations Research
M31 - Business Administration and Business Economics; Marketing; Accounting - - Marketing and Advertising - - - Marketing
C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models

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This page was last updated on 2009-12-10.


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