1. 1 The context What factors determine a country s exchange rate regime? Since the col- lapse of the Bretton Woods system of fixed exchange rates in 1973 eco- nomists have been increasingly interested in answering this question. Ana- lysts focused primarily on the possible influence of optimum currency area (OCA) criteria such as a country s size openness to trade or factor mobi- lity. More recent approaches emphasized the nature and the sources of shocks to which an economy is exposed or explicitly took imperfections on financial markets into account. However despite a large body of work litt- le consensus has emerged about the determinants of exchange rate regime choice. The existing empirical literature could not identify a single variable as a clear predictor of exchange rate regime choice and even among eco- nomically comparable countries large discrepancies in exchange rate pol- icy have been observed (see e. g. the survey on the literature in Juhn and Mauro 2002). The inconclusiveness of traditional approaches to explain exchange rate regime choice is the stimulus for this dissertation. My main point is that political and institutional conditions help to account for differences in ex- change rate policy. Li other areas of economic policy it has become stan- dard to argue that government s macroeconomic preferences are an impor- tant determinant in economic policymaking and should not be neglected when analyzing macroeconomic outcomes.

The two-volume set CCIS 2179 + 2180 constitutes the refereed proceedings of the 31st European Conference on Systems Software and Services Process Improvement EuroSPI 2024 held in Munich Germany during September 2024. The 55 papers included in these proceedings were carefully reviewed and selected from 100 submissions. They were organized in topical sections as follows: Part I: SPI and Emerging and Multidisciplinary Approaches to Software Engineering; SPI and Functional Safety and Cybersecurity; SPI and Standards and Safety and Security Norms; Part II: Sustainability and Life Cycle Challenges; SPI and Recent Innovations; Digitalisation of Industry Infrastructure and E-Mobility; SPI and Agile; SPI and Good/Bad SPI Practices in Improvement.

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