In the paper: SGU2006, Optimal Simple and Implementable Monetary and Fiscal Rules: Expanded Version (snapshot above), the welfare comparison is based on the premise that “the non-stochastic steady state is the same across all policy regimes”.

Is this equivalent to say that: if I introduce a policy instrument into the model, but some steady states of the model are therefore changed, then initial states of different policy regimes are no longer the same. Welfare comparison conditional on the initial state is invalid??

If the answer is “yes, equivalent”, can I still compare the welfare by unconditional indicators, for example, `oo_.mean(welf)`

? I saw many papers just compare various scenarios in a very “natural” way, but when I do it by myself, I guess this may be a problem.

Sorry for my stupid question.

The answer always depends on what you are trying to do. Conditional welfare is something used when you ask whether a change in a policy regime is beneficial. In that case, you would start at or somewhere close to the steady state of the old regime and this is the starting point for the implementation of the new policy. If the steady states in the new regime is different, then you would need to compare welfare at the steady state of the old regime.

Unconditional welfare in contrast is not concerned with transition behavior. Policies happen in two different economies that have been running for a long time. Now you compare them.

Thank you for the reply. I’m turning your words into codes

Sorry I have another fairly naive question on that paper (and on many other peers).

In Figure 3, authors show IRFs of OSR (\alpha_y=0) and the usual Taylor rule (\alpha_y=0.5).

For `Interest Rate`

and `Inflation`

, first two subplots, as well as the second to last `Markup`

, I can see OSR is definitely superior to Taylor. SGU seem to exclusively analyze them.

But for `Output`

, `Hours`

, and rest real terms, the “volatilities” or percent deviations of OSR are larger than Taylor. If I change to other variables, results are similar.

Is OSR only optimal in terms of utility-based welfare? If I alter the criterion, say “volatility minimization”, can I conclude Taylor is superb?

Broadly, is there any paper characterizing a “universal” optimal rule, not only max the welfare, but min volatility as well? Or for any rule, optimality under one criterion is at the expense of being suboptimal under alternate criteria?

Sorry, my experience on the interpretation of IRFs is rather limited. If, for instance, I generate 10 subplots. 2 of them favor my claims and the remaining are not. Shall I follow SGU that only speak something about the 2 subplots?

Thank you for your tolerance.

Whenever you want to say something about optimality, you need to have an objective function. If your objective is agents’ welfare then a particular policy will be optimal (essentially the utility function will dictate the weights on the levels and volatility of the variables entering utility).

If you now use a different objective with an arbitrary weighting, then a different policy may be optimal. But given that variables and weights in the objective could be anything, there is of course no general rule on which policy will be best according to this metric.