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Part 1: Document Description
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Citation |
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Title: |
Global Diffusion, Policy Flexibility, and Inflation Targeting |
Identification Number: |
doi:10.7910/DVN/83TXKI |
Distributor: |
Harvard Dataverse |
Date of Distribution: |
2019-06-17 |
Version: |
1 |
Bibliographic Citation: |
Wasserfallen, Fabio, 2019, "Global Diffusion, Policy Flexibility, and Inflation Targeting", https://doi.org/10.7910/DVN/83TXKI, Harvard Dataverse, V1, UNF:6:V7xVVCESFVf8j/eRuHBbBA== [fileUNF] |
Citation |
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Title: |
Global Diffusion, Policy Flexibility, and Inflation Targeting |
Identification Number: |
doi:10.7910/DVN/83TXKI |
Authoring Entity: |
Wasserfallen, Fabio (Universitat Salzburg Sozial und Wirtschaftswissenschaften an der RWF - Department of Political Science and Sociology) |
Distributor: |
Harvard Dataverse |
Access Authority: |
Interactions, International |
Depositor: |
Interactions, International |
Date of Deposit: |
2019-04-29 |
Holdings Information: |
https://doi.org/10.7910/DVN/83TXKI |
Study Scope |
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Keywords: |
Social Sciences, Policy Diffusion, Inflation Targeting, Policy Flexibility, Decoupling, Democracy, Central Banking |
Abstract: |
A diverse group of over 30 countries located all over the world—such as the UK, Colombia, and Ghana—introduced inflation targeting, which is a monetary policy that seeks to control inflation through a pre-announced target. Fully institution- alized democracies adopted the policy first because the core features of inflation targeting are consistent with the principles of a liberal democracy. But why was in- flation targeting also introduced by less-democratic countries? This article develops the argument that decision makers of less-democratic countries became more likely to adopt inflation targeting when they observed that nearby countries increased the flexibility of the policy. The statistical analysis of data from 76 countries between 1989 and 2013 supports this hypothesis. The finding that the change of a policy toward a more flexible framework drives its global spread addresses a blind spot in the more recent policy diffusion literature. |
Methodology and Processing |
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Sources Statement |
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Data Access |
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Notes: |
<a href="http://creativecommons.org/publicdomain/zero/1.0">CC0 1.0</a> |
Other Study Description Materials |
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File Description--f3423594 |
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File: full_data.tab |
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UNF:6:Hve6IKQtJlIXhAda2abQcw== |
File Description--f3423599 |
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File: itflex_data.tab |
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UNF:6:BgTgmN+G6G/JOEIMBsVZtg== |
File Description--f3423596 |
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File: IT_adoption.tab |
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UNF:6:lT8WofMN/MAsB9Y6JeGhKg== |
File Description--f3423598 |
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File: riskset_data.tab |
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UNF:6:AZIWap6o6JBo1QufbWDSwg== |
List of Variables: |
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Variables |
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Summary Statistics: Valid 1373.0; Min. 0.0; Mean 0.9504734158776413; Max. 2.0; StDev 0.9676367292811912 Variable Format: numeric Notes: UNF:6:aXc/Y4RSfXajA5qxK7wI5Q== |
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Summary Statistics: Valid 934.0; Max. 2408.543; Min. -0.5857857; Mean 34.99396489721627; StDev 181.82542350492508 Variable Format: numeric Notes: UNF:6:/5JNh/R3B599/A93zcvVaA== |
Label: |
1) ReadMe.pdf |
Notes: |
application/pdf |
Label: |
analysis.R |
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type/x-r-syntax |
Label: |
create_riskset.do |
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application/x-stata-syntax |