Inflation and output growth uncertainty and their relationship with inflation and output growth

Fountas, Stilianos; Karanasos, Menelaos; Kim, Jin‐Ki

doi:10.1016/s0165-1765(02)00009-5

Cited by 76 publications

(66 citation statements)

References 11 publications

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“…Finally, several of our results square with the findings of recent studies by Fountas et al (2002), Fountas et al (2004a) and Conrad and Karanasos (2005a). In particular, Fountas et al (2002) employ Japanese data (1961e1999) and a bivariate GARCH model (where inflation is measured by PPI) and find similar results to the PPI results of the present study.…”

Section: Discussion Of Results and Related Recent Literaturesupporting

confidence: 91%

Section: Discussion Of Results and Related Recent Literaturesupporting

confidence: 82%

“…In particular, Fountas et al (2002) employ Japanese data (1961e1999) and a bivariate GARCH model (where inflation is measured by PPI) and find similar results to the PPI results of the present study. The only difference is lack of evidence for the Black hypothesis in Fountas et al (2002). Fountas et al (2004a) use quarterly data and CPI inflation for six European Union countries, and an exponential GARCH model and test for three hypotheses: Friedman's two hypotheses and the CukiermaneMeltzer hypothesis.…”

Section: Discussion Of Results and Related Recent Literaturesupporting

confidence: 82%

“…Finally, the available empirical evidence on the Devereux hypothesis is rather limited. To the best of our knowledge, the only empirical studies on this hypothesis are Grier and Perry (2000), Fountas et al (2002) and Grier et al (2004) which find no supporting evidence for the hypothesis.…”

Section: The Empirical Evidencementioning

confidence: 88%

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Inflation, output growth, and nominal and real uncertainty: Empirical evidence for the G7

Fountas

Karanasos

2007

Journal of International Money and Finance

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160

127

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We use univariate GARCH models of inflation and output growth and monthly data for the G7 covering the 1957e2000 period to test for the causal effect of real and nominal macroeconomic uncertainty on inflation and output growth, and the effect of inflation on inflation uncertainty. Our evidence supports a number of important conclusions. First, inflation is a positive determinant of uncertainty about inflation. Second, output growth uncertainty is a positive determinant of the output growth rate. Third, there is mixed evidence regarding the effect of inflation uncertainty on inflation and output growth. Hence, uncertainty about the inflation rate is not necessarily detrimental to economic growth. Finally, there is not much evidence supporting the hypothesis that output uncertainty raises inflation.

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Section: Discussion Of Results and Related Recent Literaturesupporting

confidence: 91%

Section: Discussion Of Results and Related Recent Literaturesupporting

confidence: 82%

Section: Discussion Of Results and Related Recent Literaturesupporting

confidence: 82%

Section: The Empirical Evidencementioning

confidence: 88%

See 2 more Smart Citations

Inflation, output growth, and nominal and real uncertainty: Empirical evidence for the G7

Fountas

Karanasos

2007

Journal of International Money and Finance

Self Cite

160

127

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“…The factor, growth in output is also linked to innovation. However, Fountas et al (2002) found that it is influenced by other factors such as inflation and inflation uncertainty. Therefore, it is not suitable to be used in this study.…”

Section: Theoretical Frameworkmentioning

confidence: 99%

The Impact of Contemporary Innovation Management Trends Towards the Organization of It Projects

Ibrahim

Gamage

2018

RISUS

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: Innovation failures when properly understood will support to improve the understanding of innovation success, which will help management improve their strategies. The objective of the research presented in this paper is to explore the efficiency in the organizing of innovative IT projects in the Sri Lankan context.Grounded Theory was used as the central methodology for this qualitative research study, where data was collected through open-ended questions based interviewing of corporate informants. An analytical tool, MAXQDA, which is a software that supports the analysis of qualitative data was used to electronically store, document and structure all interview transcripts.This research has found that the ordering of aspects of innovation management that influence the organisation of IT projects to be Reward Structure, Recruitment, Training and Development, Gamification, and Employee Empowerment; where Reward Structure had the highest code frequency per document and number of documents per code. For different innovation management methods, the ordering of the factors which influence the organisation of IT projects was further elaborated upon in this research. In the observation of 11 target organisations, it was found that there were no two identical innovation management implementations and each organisation provided a different experience. Data sources for the interviews were limited because the preliminary review of opportunities to study innovation management in the Sri Lankan context revealed that only a selected set of organisations would be relevant to the research. This research has important uses as only a small fraction of the existing literature attempted to establish any relationships between the variables Trend and Project Organisation. In order to introduce or improve innovation management in an organisation, the budget, needs of the organisation, how to introduce the implementation and investment evaluations need to be considered. Resumo: Falhas na inovação, quando entendidas adequadamente, podem contribuir numa melhor compreensão das causas do sucesso da inovação, o que ajudará a gestão a melhorar suas estratégias. O objetivo da pesquisa deste trabalho é explorar a eficiência na organização de projetos inovadores de TI no contexto de Sri Lanka. A Teoria Fundamentada foi utilizada como a metodologia central para esta pesquisa qualitativa, onde os dados foram coletados por meio de perguntas abertas com entrevistas de informantes corporativos. Foi utilizada a ferramenta analítica MAXQDA, que é um software que serve para análise de dados qualitativos, e que permite armazenar, documentar e estruturar eletronicamente todas as transcrições de entrevistas. A pesquisa constatou uma ordem de prioridades dos aspectos da gestão da inovação que influenciam a organização dos projetos de TI: Estrutura de Recompensa, Recrutamento, Treinamento e Desenvolvimento, Gamificação e Empoderamento dos Funcionários; de fato a Estrutura de Recompensa tinha a maior frequência de código por documento e número de d...

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Optimal Control of Heteroscedastic Macroeconomic Models

Polito

Spencer

2015

J of Applied Econometrics

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This paper analyses the implications of heteroscedasticity for optimal macroeconomic policy and welfare. We …nd that changes in the variance structure driven by exogenous processes like GARCH a¤ect welfare but not the optimal feedback rule. However, changes in the variance structure driven by state-dependent processes a¤ect both. We also derive Certainty-Equivalent Transformations of state-dependent volatility models that allow standard quadratic dynamic programming algorithms to be employed to study optimal policy. These results are illustrated numerically using a reduced-form model of the U.S. economy in which changes in volatility are driven by a GARCH process and the rate of in ‡ation

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Inflation and output growth uncertainty and their relationship with inflation and output growth

Abstract: Using a bivariate GARCH model of inflation and output growth we find evidence that higher inflation and more inflation uncertainty lead to lower output growth in the Japanese economy. These results support the argument of a price stability objective for the monetary authority.

Cited by 76 publications

References 11 publications

Inflation, output growth, and nominal and real uncertainty: Empirical evidence for the G7

Inflation, output growth, and nominal and real uncertainty: Empirical evidence for the G7

The Impact of Contemporary Innovation Management Trends Towards the Organization of It Projects

Optimal Control of Heteroscedastic Macroeconomic Models

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