Nonlinear Relation Between Inflation and Growth – Panel Data Analysis
Nonlinear Relation Between Inflation and Growth – Panel Data Analysis

Author: Anna Miller

Publisher: GRIN Verlag

Published: 2013-10-24

Total Pages: 48

ISBN-13: 3656523223

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Master's Thesis from the year 2013 in the subject Economics - Economic Cycle and Growth, grade: 64%, University of Nottingham, language: English, abstract: This paper examines the inflation-growth interaction for different country groups with similar national incomes for the period 1970-2011. It could be confirmed that this relation is strictly nonlinear with a threshold level of inflation of 3% for high-income countries and 13% for low-income countries. Although this result is in line with previous empirical studies based on a similar data set, much smaller samples needed to be used to obtain these results. Inflation threshold levels are estimated using the iteration method and different panel-specific techniques. Strongly significant thresholds were yielded only when controlling for country-fixed effects. Policymakers can use the findings for high-income or industrialised countries as a guide for inflation targeting, however more precise analyses for less advanced countries are needed in order to be useful for monetary policy.

Nonlinear Relation Between Inflation and Growth - Panel Data Analysis
Nonlinear Relation Between Inflation and Growth - Panel Data Analysis

Author: Anna Miller

Publisher:

Published: 2013-11

Total Pages: 52

ISBN-13: 9783656532064

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Master's Thesis from the year 2013 in the subject Economics - Economic Cycle and Growth, grade: 64%, University of Nottingham, language: English, abstract: This paper examines the inflation-growth interaction for different country groups with similar national incomes for the period 1970-2011. It could be confirmed that this relation is strictly nonlinear with a threshold level of inflation of 3% for high-income countries and 13% for low-income countries. Although this result is in line with previous empirical studies based on a similar data set, much smaller samples needed to be used to obtain these results. Inflation threshold levels are estimated using the iteration method and different panel-specific techniques. Strongly significant thresholds were yielded only when controlling for country-fixed effects. Policymakers can use the findings for high-income or industrialised countries as a guide for inflation targeting, however more precise analyses for less advanced countries are needed in order to be useful for monetary policy.

Inflation, Disinflation, and Growth
Inflation, Disinflation, and Growth

Author: Mr.Atish R. Ghosh

Publisher: International Monetary Fund

Published: 1998-05-01

Total Pages: 45

ISBN-13: 1451961189

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Although few would doubt that very high inflation is bad for growth, there is much less agreement about moderate inflation’s effects. Using panel regressions and a nonlinear specification, this paper finds a statistically and economically significant negative relationship between inflation and growth. This relationship holds at all but the lowest inflation rates and is robust across various samples and specifications. The method of binary recursive trees identifies inflation as one the most important statistical determinants of growth. Finally, while there are short-run growth costs of disinflation, these are only relevant for the most severe disinflations, or when the initial inflation rate is well within the single-digit range.

Nonlinear Effects of Inflationon Economic Growth
Nonlinear Effects of Inflationon Economic Growth

Author: Mr.Michael Sarel

Publisher: International Monetary Fund

Published: 1995-06-01

Total Pages: 26

ISBN-13: 1451968310

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This paper examines the possibility of nonlinear effects of inflation on economic growth. It finds evidence of a significant structural break in the function that relates economic growth to inflation. The break is estimated to occur when the inflation rate is 8 percent. Below that rate, inflation does not have any effect on growth, or it may even have a slightly positive effect. When the inflation rate is above 8 percent, however, the estimated effect of inflation on growth rates is significant, robust and extremely powerful. The paper also demonstrates that when the existence of the structural break is ignored, the estimated effect of inflation on growth is biased by a factor of three.

Money Growth and Inflation
Money Growth and Inflation

Author: Arusha Cooray

Publisher:

Published: 2020

Total Pages: 0

ISBN-13:

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The relationship between money growth and inflation is a topic of debate among macroeconomists. This paper contributes to the empirical literature on the money-inflation pass-through using a Nonlinear Auto-Regressive Distributed Lag model (NARDL) for three countries (the U.S., U.K. and Japan) over an estimation period spanning 1950Q1 to 2014Q4. This methodology allows for empirical tests of short- and long-run asymmetric responses of inflation to both positive and negative shocks affecting money growth of three monetary aggregates (M, M, M). The results reveal that inflation responds asymmetrically to monetary shocks in the long-run for all three countries. Robustness tests are also undertaken by carrying out the Hatemi-J (Empirical Economics, Vol. 43 (2012), pp. 447-456) causality test and splitting the sample period into two, before and after the financial crisis. The findings indicate the existence of a relation between money growth and inflation in the post-crisis period only in the case of the U.K. When we use different break points, we find that the symmetric relationship more likely occurs in the post-crisis period.

Nonlinear Effects of Inflation on Economic Growth
Nonlinear Effects of Inflation on Economic Growth

Author: Michael Sarel

Publisher:

Published: 2006

Total Pages: 26

ISBN-13:

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This paper examines the possibility of nonlinear effects of inflation on economic growth. It finds evidence of a significant structural break in the function that relates economic growth to inflation. The break is estimated to occur when the inflation rate is 8 percent. Below that rate, inflation does not have any effect on growth, or it may even have a slightly positive effect. When the inflation rate is above 8 percent, however, the estimated effect of inflation on growth rates is significant, robust and extremely powerful. The paper also demonstrates that when the existence of the structural break is ignored, the estimated effect of inflation on growth is biased by a factor of three.

IMF Staff papers, Volume 45 No. 4
IMF Staff papers, Volume 45 No. 4

Author: International Monetary Fund. Research Dept.

Publisher: International Monetary Fund

Published: 1998-01-01

Total Pages: 180

ISBN-13: 1451972776

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This paper describes the issue of corruption around the world. The paper surveys and discusses issues related to the causes, consequences, and scope of corruption, and possible corrective actions. It emphasizes the costs of corruption in terms of economic growth. It also emphasizes that the fight against corruption may not be cheap and cannot be independent from the reform of the state. If certain reforms are not made, corruption is likely to continue to be a problem regardless of actions directly aimed at curtailing it.

Econometric Analysis of Cross Section and Panel Data, second edition
Econometric Analysis of Cross Section and Panel Data, second edition

Author: Jeffrey M. Wooldridge

Publisher: MIT Press

Published: 2010-10-01

Total Pages: 1095

ISBN-13: 0262232588

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The second edition of a comprehensive state-of-the-art graduate level text on microeconometric methods, substantially revised and updated. The second edition of this acclaimed graduate text provides a unified treatment of two methods used in contemporary econometric research, cross section and data panel methods. By focusing on assumptions that can be given behavioral content, the book maintains an appropriate level of rigor while emphasizing intuitive thinking. The analysis covers both linear and nonlinear models, including models with dynamics and/or individual heterogeneity. In addition to general estimation frameworks (particular methods of moments and maximum likelihood), specific linear and nonlinear methods are covered in detail, including probit and logit models and their multivariate, Tobit models, models for count data, censored and missing data schemes, causal (or treatment) effects, and duration analysis. Econometric Analysis of Cross Section and Panel Data was the first graduate econometrics text to focus on microeconomic data structures, allowing assumptions to be separated into population and sampling assumptions. This second edition has been substantially updated and revised. Improvements include a broader class of models for missing data problems; more detailed treatment of cluster problems, an important topic for empirical researchers; expanded discussion of "generalized instrumental variables" (GIV) estimation; new coverage (based on the author's own recent research) of inverse probability weighting; a more complete framework for estimating treatment effects with panel data, and a firmly established link between econometric approaches to nonlinear panel data and the "generalized estimating equation" literature popular in statistics and other fields. New attention is given to explaining when particular econometric methods can be applied; the goal is not only to tell readers what does work, but why certain "obvious" procedures do not. The numerous included exercises, both theoretical and computer-based, allow the reader to extend methods covered in the text and discover new insights.