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What Can Time-Series Regressions Tell Us About Policy Counterfactuals? / Christian K. Wolf, Alisdair McKay.
- Format:
- Book
- Author/Creator:
- Wolf, Christian K.
- Series:
- Working Paper Series (National Bureau of Economic Research) no. w30358.
- NBER working paper series no. w30358
- Language:
- English
- Physical Description:
- 1 online resource: illustrations (black and white);
- Place of Publication:
- Cambridge, Mass. National Bureau of Economic Research 2022.
- Summary:
- We show that, in a general family of linearized structural macroeconomic models, knowledge of the empirically estimable causal effects of contemporaneous and news shocks to the prevailing policy rule is sufficient to construct counterfactuals under alternative policy rules. If the researcher is willing to postulate a loss function, our results furthermore allow her to recover an optimal policy rule for that loss. Under our assumptions, the derived counterfactuals and optimal policies are robust to the Lucas critique. We then discuss strategies for applying these insights when only a limited amount of empirical causal evidence on policy shock transmission is available.
- Notes:
- Print version record
- August 2022.
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