The Inverted Fisher Hypothesis


Book Description

This paper examines the implications of inflation persistence for the inverted Fisher hypothesis that nominal interest rates do not adjust to inflation because of a high degree of substitutability between money and bonds. It is emphasized that the substitutability between nominal assets and capital renders the hypothesis inconsistent with the data when inflation persistence is high. Using a switching regression model, the analysis allows the reflection of inflation in interest rates to vary according to the degree of inflation persistence or forecastability. The hypothesis is supported by U.S. data only when inflation forecastability is below a certain threshold.







International Parity Conditions


Book Description

This book presents an extensive survey of the theory and empirics of international parity conditions which are critical to our understanding of the linkages between world markets and the movement of interest and exchange rates across countries. The book falls into three parts dealing with the theory, methods of econometric testing and existing empirical evidence. Although it is intended to provide a consensus view on the subject, the authors also make some controversial propositions, particularly on the purchasing power parity conditions.




Inflation and Public Debt Reversals in the G7 Countries


Book Description

This paper investigates the impact of low or high inflation on the public debt-to-GDP ratio in the G-7 countries. Our simulations suggest that if inflation were to fall to zero for five years, the average net debt-to-GDP ratio would increase by about 5 percentage points over the next five years. In contrast, raising inflation to 6 percent for the next five years would reduce the average net debt-to-GDP ratio by about 11 percentage points under the full Fisher effect and about 14 percentage points under the partial Fisher effect. Thus higher inflation could help reduce the public debt-to-GDP ratio somewhat in advanced economies. However, it could hardly solve the debt problem on its own and would raise significant challenges and risks. First of all, it may be difficult to create higher inflation, as evidenced by Japan’s experience in the last few decades. In addition, un-anchoring of inflation expectations could increase long-term real interest rates, distort resource allocation, reduce economic growth, and hurt the lower–income households.







Nonlinear and Complex Dynamics


Book Description

Nonlinear Dynamics of Complex Systems describes chaos, fractal and stochasticities within celestial mechanics, financial systems and biochemical systems. Part I discusses methods and applications in celestial systems and new results in such areas as low energy impact dynamics, low-thrust planar trajectories to the moon and earth-to-halo transfers in the sun, earth and moon. Part II presents the dynamics of complex systems including bio-systems, neural systems, chemical systems and hydro-dynamical systems. Finally, Part III covers economic and financial systems including market uncertainty, inflation, economic activity and foreign competition and the role of nonlinear dynamics in each.




The American Economic Review


Book Description

Includes annual List of doctoral dissertations in political economy in progress in American universities and colleges; and the Hand book of the American Economic Association.







Macroeconometrics


Book Description

Each chapter of Macroeconometrics is written by respected econometricians in order to provide useful information and perspectives for those who wish to apply econometrics in macroeconomics. The chapters are all written with clear methodological perspectives, making the virtues and limitations of particular econometric approaches accessible to a general readership familiar with applied macroeconomics. The real tensions in macroeconometrics are revealed by the critical comments from different econometricians, having an alternative perspective, which follow each chapter.




Bayesian Inference in Dynamic Econometric Models


Book Description

This book contains an up-to-date coverage of the last twenty years advances in Bayesian inference in econometrics, with an emphasis on dynamic models. It shows how to treat Bayesian inference in non linear models, by integrating the useful developments of numerical integration techniques based on simulations (such as Markov Chain Monte Carlo methods), and the long available analytical results of Bayesian inference for linear regression models. It thus covers a broad range of rather recent models for economic time series, such as non linear models, autoregressive conditional heteroskedastic regressions, and cointegrated vector autoregressive models. It contains also an extensive chapter on unit root inference from the Bayesian viewpoint. Several examples illustrate the methods.