Inflation Targeting and Public Deficit in Emerging Countries: A Time Varying Treatment Effect Approach

Mohamed Kadria and Mohamed Ben Aissa ()

MPRA Paper from University Library of Munich, Germany

Abstract: Several studies including Minea,Tapsoba and Villieu(2012) and Lucotte (2012) claim that in emerging countries, the adoption of inflation targeting(IT) monetary policy and its discipline character allow intensifying their efforts to collect tax revenue and/or expenditure rationalization, and allows the reduction of their budget deficits (Kadria and Ben Aissa, 2014). But, the lag in the effect of monetary policy contains vital information for the policy evaluation (Fang and Miller, 2011). Hence, our contribution to the previous literature is then to evaluate the time varying treatment effect of the IT's adoption by emerging countries on their budgetary discipline in terms of reducing or mastering the public deficit. To do this, we used the propensity score matching approach in order to take account of this "lag effect" or from this effect throughout time. Our empirical analysis, conducted on a sample of 41 economies (20 IT and 21 non-IT economies) for the period from 1990 to 2010, shows that the lag in effect of IT on public deficit performance proves to be shorter and gradual for emerging countries that have adopted this monetary policy framework and our conclusions corroborate the literature disciplining effect of IT on fiscal policy.

Keywords: Time lag; inflation targeting; public deficit; time varying treatment effect evaluation; propensity score matching; emerging countries. (search for similar items in EconPapers)
JEL-codes: C5 E5 E6 H6 (search for similar items in EconPapers)
Date: 2014-05
New Economics Papers: this item is included in nep-cba, nep-mac and nep-mon
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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Related works:
Journal Article: Inflation targeting and public deficit in emerging countries: A time varying treatment effect approach (2016)
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