gwp 2015
DOI: 10.24149/gwp245
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Is There a Debt-threshold Effect on Output Growth?

Abstract: Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in… Show more

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Cited by 70 publications
(127 citation statements)
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“…According to Mitze and Matz (2015), whilst a "first generation" of empirical cross-country studies predominantly predicted an inverted U-shape relationship between public debt and economic growth, with a negative impact on growth particularly in highly indebted countries, more recently a "second generation" of empirical contributions has challenged those findings on various grounds, including uncontrolled sample heterogeneity. The "first generation" of papers include the works by Reinhart and Rogoff (2010), Pattillo et al (2011), Lof and Malinen (2014) and Woo and Kumar (2015); whilst the "second generation" include Ghosh et al (2013), Markus and Rainer (2016), Chudik et al (2017), Pescatori et al (2014 or Edberhardt and Presbitero (2015).…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…According to Mitze and Matz (2015), whilst a "first generation" of empirical cross-country studies predominantly predicted an inverted U-shape relationship between public debt and economic growth, with a negative impact on growth particularly in highly indebted countries, more recently a "second generation" of empirical contributions has challenged those findings on various grounds, including uncontrolled sample heterogeneity. The "first generation" of papers include the works by Reinhart and Rogoff (2010), Pattillo et al (2011), Lof and Malinen (2014) and Woo and Kumar (2015); whilst the "second generation" include Ghosh et al (2013), Markus and Rainer (2016), Chudik et al (2017), Pescatori et al (2014 or Edberhardt and Presbitero (2015).…”
Section: Introductionmentioning
confidence: 99%
“…Markus and Rainer (2016) point out that, due to specific institutional characteristics concerning fiscal flexibility, fiscal effectiveness and fiscal consistency, different economic systems entail different degrees of fiscal uncertainty, which to a large extent shape the investment climate at comparable levels of public debt and thus constitute a source of heterogeneity in the relationship between high public debt levels and long-run economic growth. Chudik et al (2017) and Pescatori et al (2014) identify the debt trajectory as a source of heterogeneity in the debt-growth relationship, suggesting that high but falling public debt levels are growth-neutral while high and rising debt levels are detrimental for economic activity. Finally, according to Eberhardt and Presbitero (2015), there are many possible reasons for the differences in the relationships between public debt and growth across countries.…”
Section: Introductionmentioning
confidence: 99%
“…In addition, they claimed that R&R oversimplified the relationship between debt and GDP growth, since no possible single threshold can be applied to each country. In addition, Chudik et al (2015) conclude that some economies have run into debt difficulties and experienced low growth at low debt levels, while others at high levels of indebtedness for prolonged periods have grown strongly, thus the effect of debt on growth varies among countries. Dreger and Reimers (2013) study the effect of the debt ratio on GDP per capita growth rate for two groups of countries, euro-zone members and non-euro-zone European economies, and further separate the situations in sustainable and non-sustainable debt states.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Maziarz 2017: 222-223). Recently, Chudik et al (2017) argued that the threshold levels vary and are country-specific. Considering that the majority of analyses is based on the data set delivered by Reinhart andRogoff (2010, 2009), the divergent results are constructed by various cliometric and econometric techniques.…”
Section: The Construction Of Econometric Observationsmentioning
confidence: 99%