使用合成控制法估算经济自由化对增长的影响:转型经济体的证据

Jaroslaw Kantorowicz, Rok Spruk
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摘要

我们研究了体制改革对经济增长的贡献。为此,我们区分了经济自由化方法中的几类制度改革。基于 1980-2016 年间 24 个当前和前转型经济体的样本,我们利用合成控制法估算了与经济自由化的每种独特制度方法相关的反事实情景。我们的证据揭示了指定政策方法在从转型期衰退中复苏的长期有效性方面的显著对比。各种合成控制估计结果表明,持续的大爆炸方法(快速改革)似乎是最有效的方法,而失败的渐进方法往往会导致相对于估计的反事实增长轨迹的永久性崩溃。点估算结果经受住了一系列安慰剂测试。通过采用相同的方法工具包,未来的研究可以考察转型改革对其他社会经济变量的影响,如贫困率、收入不平等、健康和环境成果。
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Using synthetic control method to estimate the growth effects of economic liberalisation: Evidence from transition economies
We examine the contribution of institutional reforms to economic growth. To this end, we distinguish between several classes of institutional reform in the approach to economic liberalisation. Based on a sample of 24 current and former transition economies for the period 1980–2016, we estimate the counterfactual scenarios related to each distinctive institutional approach to the economic liberalisation by making use of the synthetic control method. Our evidence uncovers notable contrasts in the long-term effectiveness of designated policy approaches in recovering from the transitional recession. A variety of synthetic control estimates suggests that a sustained big bang approach (rapid reforms) appears to be the most effective approach, while an abortive and gradualist approach tends to produce a permanent breakdown of the growth trajectories relative to the estimated counterfactuals. The point estimates survive an extensive battery of placebo tests. By employing the same methodological tool kit, future research could examine the impact of transition reforms on other socio-economic variables, such as the poverty rates, income inequalities, health and environmental outcomes.
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