2011
DOI: 10.2139/ssrn.1957602
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Right on Target: Exploring the Determinants of Inflation Targeting Adoption

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Cited by 7 publications
(6 citation statements)
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“…The sixth conditioning variable, according to Truman (2003), is the rate of real GDP per capita growth (GDPpc_G). We expect a negative effect for this variable on the probability of the IT adoption (Truman, 2003;Samaryna and De Haan, 2011), knowing that a high rate of real GDP per capita growth can be considered as the result of the macro-economic policies success, which does not necessarily imply an alternative framework of IT. The two other conditioning variables that theoretically affect both IT_FF and B_DEFICIT variables and whose objective is to satisfy the conditional independence assumption, are the total public debt as a percentage of GDP (PUB_DEBT) and the democracy indicator of polity IV (POLITY2).…”
Section: The Conditioning Variablesmentioning
confidence: 99%
“…The sixth conditioning variable, according to Truman (2003), is the rate of real GDP per capita growth (GDPpc_G). We expect a negative effect for this variable on the probability of the IT adoption (Truman, 2003;Samaryna and De Haan, 2011), knowing that a high rate of real GDP per capita growth can be considered as the result of the macro-economic policies success, which does not necessarily imply an alternative framework of IT. The two other conditioning variables that theoretically affect both IT_FF and B_DEFICIT variables and whose objective is to satisfy the conditional independence assumption, are the total public debt as a percentage of GDP (PUB_DEBT) and the democracy indicator of polity IV (POLITY2).…”
Section: The Conditioning Variablesmentioning
confidence: 99%
“…If legal independence before and after 1989 is the same, we use Arnone's value of the legal index for 1980 also for the period 1970–1980. The data for the adoption of inflation targeting is taken from Samaryna and De Haan (), Leyva (), and Roger ().…”
Section: Datamentioning
confidence: 99%
“…The sixth conditioning variable, according to Truman (2003) and obtained from WDI, is the rate of real GDP per capita growth (GDPpc_G). We expect a negative effect for this variable on the probability of the IT adoption (Truman, 2003;Samaryna & De Haan, 2011), knowing that a high rate of real GDP per capita growth can be considered as the result of the macro-economic policies success, which does not necessarily imply an alternative framework of IT. The two other conditioning variables that theoretically affect both IT_FF and B_DEFICIT variables and whose objective is to satisfy the conditional independence assumption, are the total public debt as a percentage of GDP (PUB_DEBT) The Clute Institute taken from the new dataset computed by Abbas et al (2010), and the democracy indicator (POLITY2), taking values from -10 (very autocratic) to +10 (very democratic), developed by Polity IV Project.…”
Section: The Conditioning Variablesmentioning
confidence: 99%