Inflation Targeting on Unemployment rates: A Quantile Treatment Effect Approach
學年 102
學期 1
出版（發表）日期 2014-01-14
作品名稱 Inflation Targeting on Unemployment rates: A Quantile Treatment Effect Approach
作品名稱（其他語言）
著者 Huang, H. C.; Yeh, C. C.
單位 財務金融學系暨研究所
出版者
著錄名稱、卷期、頁數 Applied Economics Letters 21(7), pp.453-458
摘要 This article explores the treatment effects of inflation targeting (IT) on unemployment rates across a large panel of 74 countries over the 1980–2010 period. By addressing the ‘self-selection’ problem of policy adoption via a variety of propensity score matching algorithms, we first find that, on average, IT exerts no discernible effect on unemployment rates in the full sample. However, when the full sample is split into subgroups, the results strongly indicate that the adoption of IT is associated with higher (lower) unemployment rate in the industrial (developing) countries. Further outcome from a novel quantile treatment effects approach points out that the higher the unemployment rate is in the first place, the more harmful (beneficial) the implementation of IT becomes in the industrial (developing) subsample.
關鍵字 inflation targeting;unemployment rate;propensity score matching;entropy balancing;quantile treatment effect;E4;E5;G1;G2
語言 en
ISSN 1466-4291
期刊性質 國外
收錄於 SSCI
產學合作
通訊作者
審稿制度 否
國別 GBR
公開徵稿
出版型式 ,電子版,紙本
相關連結

機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/99609 )

機構典藏連結