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Alfred Greiner

Researcher at Bielefeld University

Publications -  177
Citations -  2667

Alfred Greiner is an academic researcher from Bielefeld University. The author has contributed to research in topics: Endogenous growth theory & Debt. The author has an hindex of 27, co-authored 173 publications receiving 2478 citations. Previous affiliations of Alfred Greiner include University of Augsburg.

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Debt sustainability in the European Monetary Union: Theory and empirical evidence for selected countries

TL;DR: In this paper, the authors apply an approach developed by Bohn who proposes to study whether the primary surplus to GDP ratio is a positive function of the debt-to-GDP ratio.
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Endogenous Growth, Government Debt and Budgetary Regimes *

TL;DR: In this article, the authors analyzed the impact of a deficit financed increase in productive government spending and showed that the growth effect of this fiscal policy crucially depends on the budgetary regime in use and that a more strict budgetary regime, that is, an economy where the public deficit is primarily used for public investment, does not necessarily imply lower growth rate.
Book

The Forces of Economic Growth: A Time Series Perspective

TL;DR: In this article, the authors examined major forces of economic growth, including spillover effects and externalities, education and formation of human capital, knowledge creation through deliberate research efforts, and public infrastructure investment.
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An endogenous growth model with public capital and sustainable government debt

TL;DR: In this paper, the authors present and analyse an endogenous growth model with public capital and public debt, assuming that the ratio of the primary surplus to gross domestic income is a positive linear function of the debt income ratio.
Posted Content

Testing Sustainability of German Fiscal Policy. Evidence for the Period 1960-2003

TL;DR: In this article, the authors test whether German public debt has been sustainable by resorting to a test proposed by Bohn (1998), and apply nonparametric and semi-parametric regressions with time depending coefficients.