We use noncausal autoregressions to examine the persistence properties of quarterly U.S. consumer price inflation from 1970:1—2012:2. These nonlinear models capture the autocorrelation structure of the inflation series as accurately as their conventional causal counterparts, but they allow for persistence to depend on the size and sign of shocks to inflation as well as the inflation rate. Infla...

This study examines the relationship between healthcare expenditure and disposable income in the 50 US states over the period 1966-2009 using fractional integration and cointegration techniques. The degree of integration and nonlinearity of both series are found to vary considerably across states, whilst the fractional cointegration analysis suggests that a long-run relationship exists between ...

The performance of tax receipts in Italy during the period 1978-2006 is analysed through the relationship between the growth of revenue and the evolution of the macroeconomic framework. Series of actual tax receipts are adjusted to take account of discretionary measures, transformed into implicit tax rates, and then broken down into the structural components. A regression analysis of the trend ...

In a recent paper in The Journal of Monetary Economics, Michelacci and Zaffaroni (2000) estimate long memory parameters for GDP per capita of 16 OECD countries. In this note we argue that these estimations are questionable for the purposes of clarifying the time series properties of these data (presence of unit roots, mean reversion, long memory) because the authors a) filter out a deterministi...

We propose a new time series representation of persistence in conditional variance called a long memory stochastic volatility (LMSV) model. The LMSV model is constructed by incorporating an ARFIMA process in a standard stochastic volatility scheme. Strongly consistent estimators of the parameters of the model are obtained by maximizing the spectral approximation to the Gaussian likelihood. The ...

Article history: Received 15 February 2010 Received in revised form 13 February 2013 Accepted 21 February 2013 Available online 19 March 2013 This paper investigates the sources of the dynamic relationship between real exchange rates and stock return differentials in relation to the US market for the developed and emerging Asian markets. We, first, derive the dynamic conditional correlation (DC...

risk prediction plays an increasing role in financial risk management. this study aims to investigate existence of asymmetry and long memory volatility in tehran stock exchange index daily data over period of 1998-2006. 1467 daily index returns are used for volatility modeling via garch (long & short memory) processes for both normal and t-student innovations. the specification and forecasting ...

 The effect of technology spillovers is widely considered as one of the main channels through which domestic firms benefit from FDI, and plays an important role in economic development of host countries. Based on the analysis framework for technology spillovers established by Borensztein et al. (1998), this paper will analyse and try to figure out the development patterns of ASEAN by utilizing ...

It is well-established that the …nancial time series display some stylized fatcs such as volatility clustering, high kurtosis, low starting and slow-decaying autocorrelation function and the Talyor e¤ect as well. In order to evaluate volatility models’capacity in capturing such facts, we apply both standard and robust measures of kurtosis and autocorrelation of squares to GARCH, EGARCH and ARSV...

Previous studies typically find a statistically insignificant relationship between the market risk premium and its expected volatility. Further, several of these studies estimate a negative risk return tradeoff contrary to the predictions of mainstream theory. Using simulations, I demonstrate that even 100 years of data constitute a small sample that may easily lead to this finding even though ...