I am trying to loop through a regression where the dependent variable is in logarithmic form and the independent variable is years which is in linear form. I want to store the growth rates (the antilogarithm of the estimated regression coefficient minus 1) in a dataframe. I want to do this for several entities. I have stored data for each entity as a dataframe in a list. When I try the code below for one entity, it works:

```
reg1 <- lm(log(var1) ~ year, data=lst[[1]] )
growth_rate[1,1] <- (exp(coef(reg1[2]-1)*100)
```

Now I want to do this for several entities (I have 32 entities). Data on `var1`

for each entity is stored as a dataframe in list. So if I write a `for`

loop, I could use ` lst[[i]]`

but I am not sure how to index the regression output. I tried the following but it doesn't work:

```
for (i in 1:32){
reg[i] <- lm (log(var1) ~ year, data=lst[[i]])
growth_rate[1:32,1] <- (exp(coef(reg[i]))[2] - 1)*100
}
```

Any help would be really appreciated.