Code to estimate correlated learning models in Julia
Code in the /Julia
folder contains simulations for three different specifications:
- J-dimensional ability vector that is unknown to the individual; idiosyncratic shocks are homoskedastic
- Same as (1) but idiosyncratic shocks are allowed to be heteroskedastic
- Run (2) in bootstrap to obtain standard errors
Note that in none of the above cases is there any assumption of unobserved heterogeneity (known to the individual but not the reasearcher).
Files to run the three specifications above are located in the /Julia
folder at:
runsim.jl
runsim_hsk.jl
runsim_hsk_boot.jl