G2TT
来源类型Discussion paper
规范类型论文
来源IDDP14146
DP14146 Equilibrium Counterfactuals
Gilles Chemla; Christopher Hennessy
发表日期2019-11-21
出版年2019
语种英语
摘要We incorporate structural modellers into the economy they model. Using the traditional moment-matching method, they ignore policy feedback and estimate parameters using a structural model that treats policy changes as zero probability (or exogenous) "counterfactuals." Estimation bias occurs since the economy's actual agents, in contrast to model agents, understand policy changes are positive probability endogenous events guided by the modellers. We characterize equilibrium bias. Depending on technologies, downward, upward, or sign bias occurs. Potential bias magnitudes are illustrated by calibrating the Leland (1994) model to the Tax Cuts and Jobs Act of 2017. Regarding parameter identification, we show the traditional structural identifying assumption, constant moment partial derivative sign, is incorrect for economies with endogenous policy optimization: The correct identifying assumption is constant moment total derivative sign accounting for estimation-policy feedback. Under this assumption, model agent expectations can be updated iteratively until the modellers' policy advice converges to agent expectations, with bias vanishing.
主题Financial Economics ; Industrial Organization ; Public Economics
URLhttps://cepr.org/publications/dp14146
来源智库Centre for Economic Policy Research (United Kingdom)
资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/543034
推荐引用方式
GB/T 7714
Gilles Chemla,Christopher Hennessy. DP14146 Equilibrium Counterfactuals. 2019.
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