Displaying 3 results from an estimated 3 matches for "industry2".
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industry
2013 Apr 03
1
linear model coefficients by year and industry, fitted values, residuals, panel data
...50)
X<-rnorm(50)
Y<-rnorm(50)
Z<-rnorm(50)
data1<-data.frame(firm1,year1,industry1,X,Y,Z)
data1
colnames(data1)<-c("firm","year","industry","X","Y","Z")
firm2<-sort(rep(11:15,3),decreasing=F)
year2<-rep(2001:2003,5)
industry2<-rep(30,15)
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(200...
2013 Jun 07
4
matched samples, dataframe, panel data
...824,
23,2897,3456,7690,6022,3678,9431,2890)
data1<-data.frame(firm1,year1,industry1,dummy1,dimension1)
data1
colnames(data1)<-c("firm","year","industry","dummy","dimension")
firm2<-sort(rep(11:15,3),decreasing=F)
year2<-rep(2001:2003,5)
industry2<-rep(30,15)
dummy2<-c(0,0,0,0,0,0,1,1,1,1,1,1,1,0,1)
dimension2<-c(12456,781,32489,2345,5754,8976,3245,2120,345,2341,5678,10900,12900,123,2345)
data2<-data.frame(firm2,year2,industry2,dummy2,dimension2)
data2
colnames(data2)<-c("firm","year","industry",&...
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