Three panel data estimation methods are used to estimate the cointegrating equations for the demand for money (M1) in 14 developing Asian countries. Tests for the effects of financial reforms are made with estimates for two sub-samples of 1970 -1985 and 1986-2005 show that money demand functions in these Asian countries are stable and financial reforms have yet to have any significant effects. This implies that the central banks of these countries should use money supply, instead of the rate of interest, as the monetary policy instrument.

This paper develops an endogenous growth ramework with externalities due to learning by doing and trade openness to show that these externalities are significant for 6 Asian countries. The estimated parameters of the augmented production functions are used to compute the steady state growth rates for Singapore, Malaysia, Thailand, Hong Kong, Korea and the Philippines. A few broad policies to improve these steady state growth rate are suggested.JEL Classification: N1, O1, O4, O11

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We use the LSE-Hendry general to specific approach to analyse if US gasoline price adjustments are asymmetric with respect to changes in crude oil prices. Furthermore, we modify some weaknesses in the earlier works by Borenstein et al. (1997) and Bachmeier and Griffin (2003) and shows that if the price adjustment equations are properly specified and estimated, alternative specifications and temporal aggregation of data do not affect the results. Monthly US data are used to show that alternative specifications give equally good results and there is no asymmetry in the US gasoline price adjustments.

Time series panel data estimation methods are used to estimate cointegrating equations for the demand for money (M1) for a panel of 11 OECD countries. The effects of financial reforms are analysed with structural break tests and estimates for alternative sub-samples. Our results in the post-reforms sub-samples show that the income elasticity of the demand for money has decreased and response to interest rate changes has increased.

This article analyses possible targets for the Italian debt-to-GDP ratio with a small macroeconomic model. The role of international macroeconomic variables such as the US GDP growth, prices of raw materials, EUR/USD exchange rate and European Central Bank (ECB) monetary policy stance and domestic policy instruments is analysed in the debt dynamics. We find that external conditions play a fundamental role for the Italian fiscal consolidation. To reach a target of 100% of debt-to-GDP ratio by 2020, a further growth-sustaining policy has to be implemented.

This paper uses the extreme bounds analysis (EBA) of Leamer (1983 to analyze the robust determinants of the demand for money in a panel of 17 Asian countries for the period 1970 to 2009. These robust determinants are found to be unit root variables. Therefore, cointegration between these variables is tested with a recent time series panel method developed by Westerlund (2007). This method uses the error-correction formulation and has more power against the null of no cointegration.The results show that there is a well-defined long-run demand for money. Using the lagged error correction term from the estimated cointegrating equation, the short-run dynamic relationships are estimated. This paper, thus, suggests some useful guidelines to estimate other relationships with panel data.

The Pedroni method is used to estimate the