Template-Type: ReDIF-Paper 1.0
Author-Name: Franses, Ph.H.B.F.
Author-Name-Last: Franses
Author-Name-First: Philip Hans
Author-Person: pfr226
Author-Name: Kloek, T.
Author-Name-Last: Kloek
Author-Name-First: Teun
Author-Person: pkl74
Author-Name: Lucas, A.
Author-Name-Last: Lucas
Author-Name-First: André
Author-Person: plu10
Title: Outlier Robust Analysis of Market Share and Distribution Relations for Weekly Scanning Data
Abstract: In this paper we consider empirical econometric models for nine brands of fast-moving nondurable consumer product using weekly observed scanning data on market share and distribution conditional on advertising, price, and promotion activities. Since the data show nonstationary characteristics, we rely on cointegration techniques to estimate long-run and short-run parameters. Additionally, as there are many outlying observations in our weekly scanning data, we apply robust cointegration methods. We find different results across robust and non-robust methods for the long-run relations between market     share and distribution and for the short-run response to disequilibrium situations.
Creation-Date: 1996-01-01
Series: RePEc:ems:eureir
Number: EI 9646-/A
Keywords: cointegration LM-test, distribution, market share, outlier robust method, scanning data
Handle: RePEc:ems:eureir:1390