Measuring the Impact of Financial Bailouts: An Interrupted Time Series Approach

J. Owusu
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Abstract

Over the last three decades, a number of empirical studies have been undertaken to assess whether financial bailouts have led to an improved balance of payments and current account balances, lower inflation, stable currency, higher growth e.t.c. These studies have employed a variety of methodologies and covered different samples. The results are however conflicting. This paper provides a different outlook by using a different methodology - interrupted time series approach - to assess the impact of financial bailouts on some of the aforementioned macroeconomic variables. This methodology is superior in its ability to determine the time it takes for a variable to react to a policy change like a bailout package disbursement. The empirical results indicate that bailout packages have a positive economic effect on major macroeconomic variables in the long-run even though the short-run impacts are conflicting.
衡量金融救助的影响:一个中断的时间序列方法
在过去的三十年里,已经进行了大量的实证研究,以评估金融救助是否导致了国际收支和经常账户余额的改善、通货膨胀的降低、货币的稳定、经济的增长等。这些研究采用了多种方法,涵盖了不同的样本。然而,结果却相互矛盾。本文通过使用不同的方法——中断时间序列法——来评估金融救助对上述一些宏观经济变量的影响,提供了不同的前景。这种方法在确定变量对诸如救助计划支出之类的政策变化作出反应所需的时间方面具有优势。实证结果表明,救助计划对主要宏观经济变量在长期内具有积极的经济效应,尽管短期影响是相互矛盾的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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