Does a non-linear mean reverting process characterize real GDP movements?

This paper uses non-linear models to investigate non-stationarity of real GDP per capita for seven OECD countries over the period 1900–2000. Unit root tests based on non-linear models are more powerful than traditional ADF statistics in rejecting the null unit root hypothesis. Empirical results show that, contrary to what the linear ADF statistics suggest, stationarity characterizes five out of the seven countries. This finding stands at variance with other recent studies which conclude that movements in real GDP per capita can be characterized as a non-stationary process.

Diversification Benefits of Japanese Real Estate Over the Last Four Decades

This paper studies the benefits of diversifying into real estate and other assets that typify the wealth held by Japanese investors. We examine movements in mean variance frontiers by employing spanning tests to assess the statistical significance of frontier shifts. We also investigate the impact of shifts in mean variance frontiers before and after the precipitous decline in Japanese real estate and stock market values that began in 1990. Spanning tests show that real estate, short and long-term bonds, and Japanese equity provide significant diversification benefits. We find that mean variance frontiers shift after 1990. Statistically significant shifts are also economically important as measured by Sharpe ratio changes. Although significant, the portfolio weights on Japanese real estate are relatively small compared to their composition found in surveys of Japanese household wealth.     

Random walk and efficiency tests in the Asia-Pacific foreign exchange markets: Evidence from the post-Asian currency crisis data

This paper empirically tests the random walk and efficiency hypothesis for 12 Asia-Pacific foreign exchange markets. The hypothesis is tested using individual as well as panel unit root tests and two variance-ratio tests. The study covers the high (daily) and medium (weekly) frequency post-Asian crisis spot exchange rate data from January 1998 to July 2007. The inferential outcomes do not differ substantially between the unit root tests and the variance-ratio tests when using daily data but differ significantly when using weekly data. With the daily data, both types of unit root tests identify unit root components for all the series and two variance-ratio tests provide the evidence of martingale behavior for majority of the exchange rates tested. With the weekly data, panel unit root tests identify unit root component for the exchange rates and, the unit root tests on a single series basis identify unit root component for 10 foreign exchange markets. However, the variance-ratio tests reject the martingale null for the majority of the exchange rates when using weekly data.     

Balancing budget through tax increases or expenditure cuts: is it neutral?

Fiscal adjustment currently ranks at the top in the economic policy agenda of many OECD countries, and not only those European countries aiming to meet the Maastricht convergence criteria. Recently, Alesina and Perotti argued that successful cases of fiscal adjustment resulted from cutting expenditures, while those focusing on tax increases were unsuccessful. The paper, using a bivariate VECM representation for the joint government revenue–government expenditure dynamics for five of the main OECD countries, provides two contributions to this issue. First, it proposes and performs a neutrality test of the alternative adjustment strategies (through revenue or expenditures), second it characterizes the departure from neutrality in the three countries where the neutrality hypothesis is rejected. The conclusion, prevailing for these three countries, is that adjustment through taxes not only is inefficient, but even results in a perverse effect with induced extra expenditures which more than offset the increase in government revenue.     

Detecting nonlinearity in time series by model selection criteria

This article analyzes the use of model selection criteria for detecting nonlinearity in the residuals of a linear model. Model selection criteria are applied for finding the order of the best autoregressive model fitted to the squared residuals of the linear model. If the order selected is not zero, this is considered as an indication of nonlinear behavior. The BIC and AIC criteria are compared to some popular nonlinearity tests in three Monte Carlo experiments. We conclude that the BIC model selection criterion seems to offer a promising tool for detecting nonlinearity in time series. An example is shown to illustrate the performance of the tests considered and the relationship between nonlinearity and structural changes in time series.     

Has Inflation Persistence Changed under EMU?

This paper analyzes the persistence of inflation in the euro area and, in particular, whether the persistence properties have changed since the start of European Monetary Union(EMU). For that purpose, we compare pre‐ and post‐EMU inflation persistence, use rolling‐window estimates of persistence, and apply tests specifically designed to detect break dates near the end of the sample period. In contrast to previous research, we find that inflation persistence has fallen significantly since the start of EMU. Persistence of consumer price inflation, which is central to the European Central Bank's policy mandate, has fallen more than the persistence of deflator inflation. The drop in inflation persistence is consistent with the results from a simulated small New Keynesian model with a shift toward a more aggressive monetary policy stance.     

Survival on the Titanic: Illustrating Wald and Lagrange Multiplier Tests for Proportions and Logits

Abstract: Students are interested in lecture examples and class exercises involving data connected to the maiden voyage and the sinking of the liner Titanic. Information on the passengers and their fate can be used to explore relationships between various tests for differences in survival rates between different groups of passengers. Among the concepts the authors examined are tests for differences of proportions using a normal distribution, a chi-square test for independence, a test for the equality of two logits, and a test for the significance of the coefficient of a binary variable in logit model. The authors examined the relationship between Wald and Lagrange Multiplier test statistics and give two related examples.     

Innovation dynamics in the EU: convergence or divergence? A cross-country panel data analysis

This paper investigates whether a convergence or divergence of national innovation capabilities of the 15 EU countries occurs in the course of time. An answer to this question permits immediate conclusions with regard to the success prospects of a convergence of per capita incomes and labor productivities within the EU. For the empirical analysis based on patents granted at the US-Patent and Trademark Office, unit root tests for time series and panel data are used to scrutinize the convergence hypothesis. Taking all results together, evidence points to the fact that an absolute convergence of innovation capabilities is an exception. However, for a number of countries the results suggest either conditional convergence or convergence to their own growth paths.