first order approximation
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Hello,
I am aware that doing a first order approximation of the value function can give you incorrect results when performing welfare comparisons and that higher order approximations are needed. However, what if I do the following:
1) Take a linear approximation of the model that doesn't include the value function
2) Using the approximated model, simulate a panel of data (say N=10,000 T=1,000).
3) Calculate within period utility substituting the simulated data into the non-approximated utility function.
4) For each N, calculate lifetime welfare by adding up the within utilities and successively discounting.
5) Repeat 1-4 N-1 more times and average over the N's.
Would this be appropriate? Thanks.
I am aware that doing a first order approximation of the value function can give you incorrect results when performing welfare comparisons and that higher order approximations are needed. However, what if I do the following:
1) Take a linear approximation of the model that doesn't include the value function
2) Using the approximated model, simulate a panel of data (say N=10,000 T=1,000).
3) Calculate within period utility substituting the simulated data into the non-approximated utility function.
4) For each N, calculate lifetime welfare by adding up the within utilities and successively discounting.
5) Repeat 1-4 N-1 more times and average over the N's.
Would this be appropriate? Thanks.