search for: eqdemand

Hi I was trying to estimate simultaneous equation system in R using systemfit. I used the following commands >library(systemfit) > data(Kmenta) > attach(Kmenta) >eqDemand<-consump~price+income > eqSupply<-consump~price+farmprice+trend > fitsur<-systemfit("SUR",list(demand=eqDemand, supply=eqSupply)) and got the following error messege Error in systemfit("SUR", list(demand = eqDemand, supply = eqSupply)) : argument 'formula'...

...datares <- tempmat[, which(restrictmat[i, ] == 1),drop=FALSE] eqn[[i]]<-paste(rownames(tempmat)[i]," ~","-1","+",colnames(datares)) print(eqn[[i]]) } The only problem now is that I don't know how to name them so that I can do the system<-list( demand = eqDemand, supply = eqSupply) part that systemfit needs. In fact, I don't know how to name the actual equation eqDemand or the named part demand. I would want demand to be "AUD", supply to be "CHF", etc. If someone has time to run the code, they would see what I mean. Thanks a lot...

Hello !   I’m trying to estimate a system of equation (demand and supply) using the systemfit package.  My program is:   library(systemfit) demand <- tsyud ~ tsyud1 + tsucp + tspo + tssn supply <- tscn ~ tsyn + tsqn + tsksn + tsucp system <- list(demand=eqdemand, learning = eqsupply) labels <- list(demand="eqdemand", learning="eqsupply") inst <- ~ tsupp1 + tsupp2 + tsupp3 + tsyus1 + tsupf + tsd1 + tsyud1 + tspo + tssn + tsupp + tsus + tsus1 + tsyn + tsqn + tsksn result2sls <-systemfit(method="2SLS", system, labels, in...

...# x$resid[, i] <- resid(x$varresult[[i]]) } I would like to modify the code to make one call to systemfit because I really should be using SUR rather than a sequence of lms. But, systemfit needs the following type of setup. #xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx eqDemand <- consump ~ -1 + price + income eqSupply <- consump ~ -1 + price + farmPrice + trend system<-list( demand = eqDemand, supply = eqSupply) #xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx Then, the call to systemfit is fitsur<- systemfit( "SUR", system) Doe...

Hi there, I am really new to statistics in R and statistics itself as well. My situation: I ran a lot of OLS regressions with different independent variables. (using the lm() function). After having done that, I know there is endogeneity due to omitted variables. (or perhaps due to any other reasons). And here comes the Hausman test. I know this test is used to identify endogeneity. But what I