G2TT
来源类型Discussion paper
规范类型论文
来源IDDP11894
DP11894 Comparing Apples to Apples: Estimating Consistent Partial Effects of Preferential Economic Integration Agreements
Peter Egger
发表日期2017-03-09
出版年2017
语种英语
摘要Trade and trade policy such as the membership in preferential economic integration agreements (PEIAs; e.g., customs unions or free-trade areas) are jointly determined by the same factors. Therefore, work on the causal effects of trade policy on trade relies on the selection on observables, with propensity-score matching being the leading example. Conditional on some compact metric (the score) of observable joint determinants of PEIAs and trade flows, the causal average partial effect of PEIAs on trade is obtained from a simple (weighted) mean comparison of trade flows between members and non-members. A key prerequisite for this approach to obtain consistent estimates is that the score is balanced: similarity of country pairs in the score (the propensity of PEIA membership) means similarity in each and everyone of the observables behind it. Otherwise the effect estimates may be biased, and one would mis-ascribe nonparametric effects of differences in individual observables to PEIA membership. We demonstrate that there is a severe upward bias of PEIA effects on trade flows from lack of covariate balancing in real-world data, employ a remedy of this bias through entropy balancing, and quantify the bias for partial as well as general-equilibrium effects.
主题International Trade and Regional Economics
关键词Preferential economic integration agreements Causal effects Propensity score estimation Entropy balancing Weighting regression Balancing property Gravity models
URLhttps://cepr.org/publications/dp11894
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/540706
推荐引用方式
GB/T 7714
Peter Egger. DP11894 Comparing Apples to Apples: Estimating Consistent Partial Effects of Preferential Economic Integration Agreements. 2017.
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