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      When Technocratic Appointments Signal Credibility

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          Abstract

          How do prime ministers manage investors’ expectations during financial crises? We take a novel approach to this question by investigating ministerial appointments. When prime ministers appoint technocrats, defined as non-partisan experts, they forgo political benefits and can credibly signal their willingness to pay down their debt obligations. This reduces bond yields, but only at times when the market is sensitive to expected repayments—that is, during crises. To examine the theory, we develop an event study analysis that employs new data on the background of finance ministers in 21 Western and Eastern European democracies. We find that investors reward technocratic appointments by reducing a country’s borrowing costs. Consistent with the theory, technocratic appointments under crises predict lower bond yields. Our findings contribute to the literature on the interplay of financial markets and domestic politics.

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          Understanding Interaction Models: Improving Empirical Analyses

          T. Brambor (2005)
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            Political uncertainty and risk premia

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              What matters for financial development? Capital controls, institutions, and interactions

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                Author and article information

                Contributors
                (View ORCID Profile)
                Journal
                Comparative Political Studies
                Comparative Political Studies
                SAGE Publications
                0010-4140
                1552-3829
                March 2022
                July 10 2021
                March 2022
                : 55
                : 3
                : 386-419
                Affiliations
                [1 ]School of Government and Public Policy, University of Strathclyde, Glasgow, UK
                [2 ]Department of Political Science, University of Pittsburgh, Pittsburgh, USA
                [3 ]Universitat Konstanz, Konstanz, Germany
                Article
                10.1177/00104140211024288
                683bf1f7-11c6-4289-880c-4a7a8e52e21a
                © 2022

                https://creativecommons.org/licenses/by-nc/4.0/

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