Will Small Retailers Survive? - A Demand Analysis using Multiple Stages

 

I have just updated the draft of my second thesis. Feedback is welcome.

Abstract. Will price competition with efficient big retailers drive out small apparel retailers? To find out I estimate price elasticities of in-store demand for 91 stores of 22 independent small fashion retailers in Austria. Demand is less price elastic than I expect from the level at which prices are set. For the majority of stores an increase in price seems to be profitible. I also estimate demand for 19 apparel categories. A price increase in any category has negative cross effects on almost all categories. The optimal category price is constraint by its effect on other categories.

https://dl.dropboxusercontent.com/u/19155359/DA2.pdf

Scatterplot with histograms in R

What I want	What I type in R	What I get (and source)
I often want to visualizing 2 dimensional results.	require(stats) plot(cars)
Scatter plots are nice, but it is nicer with histograms	library(psych) data(sat.act) scatter.hist(sat.act[5:6],pch=(19+sat.act$gender),col=c("blue","red")[sat.act$gender])	http://www.personality-project.org/r/psych/help/scatter.hist.html
R has serveral implementation sof that scatterplot /histogram combination	library(ade4) data(rpjdl) coa1 <- dudi.coa(rpjdl$fau, scannf = FALSE, nf = 4) s.hist(coa1$li) s.hist(coa1$li, cgrid = 2, cbr = 3, adj = 0.5, clab = 0) s.hist(coa1$co, cgrid = 2, cbr = 3, adj = 0.5, clab = 0)	http://pbil.univ-lyon1.fr/ade4/ade4-html/s.hist.html
Or this implementation http://www.r-bloggers.com/example-10-3-enhanced-scatterplot-with-marginal-histograms/		graph copied from http://www.r-bloggers.com/example-10-3-enhanced-scatterplot-with-marginal-histograms/

 

I have not yet made up my mind which to use…