2012
DOI: 10.1007/s11156-012-0296-x
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Nominal interest rates and stationarity

Abstract: ). We would like to thank Karim Abadir for his helpful comments and suggestions. AbstractThis paper investigates the (break) stationarity null hypothesis using data for 25 interest rates with di¤erent maturities and risk characteristics in Canada and the US. In contrast to a large part of the literature, this paper reports strong empirical evidence in favour of the null hypothesis of stationarity for the interest rate series.

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Cited by 5 publications
(2 citation statements)
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“…However, it should be noted that the non-stationarity of long-run nominal interest rates may hold for the employed US data from 1950:2 to 1988:4. But even for the US, recent empirical studies report strong evidence for the null of (break) stationarity for a wide range of nominal interest rates between 1985 and 2004 (Cerrato, Kim and Macdonald, 2010). Furthermore, German nominal long-run interest rates show a different picture.…”
Section: F Smentioning
confidence: 99%
“…However, it should be noted that the non-stationarity of long-run nominal interest rates may hold for the employed US data from 1950:2 to 1988:4. But even for the US, recent empirical studies report strong evidence for the null of (break) stationarity for a wide range of nominal interest rates between 1985 and 2004 (Cerrato, Kim and Macdonald, 2010). Furthermore, German nominal long-run interest rates show a different picture.…”
Section: F Smentioning
confidence: 99%
“…13 To avoid potentially spurious and endogenously biased relationships between GDP and expenditures, an endogenous equilibrium model should be applied. 14 Legrenzi and Milas (2002a,b) show that, within such a framework, Wagner's law cannot be rejected if the long-run domestic income elasticity of total general expenditures in current prices is estimated to be higher than unity. Formally, this implies the following cointegration regression of public spending on economic development,…”
Section: Wagner's Law: General Approach and Testable Hypothesismentioning
confidence: 99%