search for: industry3

Displaying 3 results from an estimated 3 matches for "industry3".

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2013 Apr 03
1
linear model coefficients by year and industry, fitted values, residuals, panel data
...0,15) X<-rnorm(15) Y<-rnorm(15) Z<-rnorm(15) data2<-data.frame(firm2,year2,industry2,X,Y,Z) data2 colnames(data2)<-c("firm","year","industry","X","Y","Z") firm3<-sort(rep(16:20,4),decreasing=F) year3<-rep(2001:2004,5) industry3<-rep(40,20) X<-rnorm(20) Y<-rnorm(20) Z<-rnorm(20) data3<-data.frame(firm3,year3,industry3,X,Y,Z) data3 colnames(data3)<-c("firm","year","industry","X","Y","Z") final1<-rbind(data1,data2) final2<-rbind(final1,dat...
2013 Jun 07
4
matched samples, dataframe, panel data
...45,2120,345,2341,5678,10900,12900,123,2345) data2<-data.frame(firm2,year2,industry2,dummy2,dimension2) data2 colnames(data2)<-c("firm","year","industry","dummy","dimension") firm3<-sort(rep(16:20,4),decreasing=F) year3<-rep(2001:2004,5) industry3<-rep(40,20) dummy3<-c(0,0,1,0,1,0,1,0,1,1,1,1,1,0,0,0,0,1,0,0) dimension3<-c(23456,1181,32489,2345,6754,8976,3245,1234,1288,1200,2345,2765,389,23456,2367,3892,6438,24824, 23,2897) data3<-data.frame(firm3,year3,industry3,dummy3,dimension3) data3 colnames(data3)<-c("firm",&qu...
2010 May 03
2
Hierarchical factors
Hello, Hierarchical factors are a very common data structure. For instance, one might have municipalities within states within countries within continents. Other examples include occupational codes, biological species, software types (R within statistical software within analytical software), etc. Such data structures commonly use hierarchical coding systems. For example, the 2007 North