Using a time series framework, the paper studies the interactions of the annual real per capita GDP data of the G7 countries. We find evidence of six common nonstationary processes behind the international output dynamics. In addition, there is evidence for the existence of a common business cycle among these countries. The trend and cycle components of each output series are obtained with a pr...

Recently, there has been a renewed interest in modeling economic time series by vector autoregressive moving-average models. However, this class of models has been unpopular in practice because of estimation problems and the complexity of the identification stage. These disadvantages could have led to the dominant use of vector autoregressive models in macroeconomic research. In this paper, sev...

This paper concerns the effects of macroeconomic announcements on the covariance structure of US government bond returns for six different maturities; the study shows that the conditional variances, covariances, and correlation coefficients are significantly greater on announcement days. On non-announcement days, the correlation coefficients are relatively large and are greater the closer the b...

Confidence intervals in econometric time series regressions suffer from notorious coverage problems. This is especially true when the dependence in the data is noticeable and sample sizes are small to moderate, as is often the case in empirical studies. This paper suggests using the studentized block bootstrap and discusses practical issues, such as the choice of the block size. A particular da...

We implement novel tests of general relative purchasing power parity (PPP), defined as a long-run unit elasticity of the nominal exchange rate with respect to relative national prices, allowing for potentially permanent real exchange rate shocks. The finite-sample properties of the estimators used are analyzed through Monte Carlo analysis, allowing for country heterogeneity, cross-sectional dep...

The analysis of macroeconomic variables for current situation in Iran indicates a Conundrum. Solving this puzzle is vital for Central Bank of Iran in order to choose an appropriate approach for monetary policy and banking supervision. Increase in liquidity growth rate, significant decrease of inflation rate and interest rate rigidity are the three sides of this puzzle. This study designs an inn...

We develop a general approach to robust inference about a scalar parameter when the data is potentially heterogeneous and correlated in a largely unknown way. The key ingredient is the following result of Bakirov and Székely (2005) concerning the small sample properties of the standard t−test: For a significance level of 5% or lower, the t−test remains conservative for underlying observations t...

This paper proposes a factor augmented autoregressive distributed lag (FADL) framework for analyzing the dynamic effects of common and idiosyncratic shocks. We first estimate the common shocks from a large panel of data with a strong factor structure. Impulse responses are then obtained from an autoregression, augmented with a distributed lag of the estimated common shocks. The approach has thr...

In this paper, I examine the effects of money supply, aggregate spending, and aggregate supply shocks on real US stock prices in a structural vector autoregression framework. Overall, the empirical results indicate that each macro shock has important effects on real stock prices. The real stock price impulse responses to the various macro shocks conform to the standard present-value equity valu...

We use generalized method of moments to estimate a rational expectations aggregate demand/aggregate supply macroeconomic model for five European economies and the United States. Our aim is to examine whether supply or demand shocks have predominated in these economies during the post-war era, and whether shocks of either type have been primarily temporary or permanent in nature. The estimation ...