This paper considers a class of nonparametric autoregression models with nonstationarity in the mean and then a class of nonparametric time series regression models with nonstationarity in both the conditional mean and conditional variance. For the nonparametric autoregression case, we propose a nonparametric unit–root test for the conditional mean. For the nonparametric time series regression ...

A large empirical literature has examined the transmission mechanism of structural shocks in great detail. The possible role played by changes in the volatility of shocks has largely been overlooked in vector autoregression based applications. This paper proposes an extended vector autoregression where the volatility of structural shocks is allowed to be time-varying and to have a direct impact...

We study the effects of government spending by using a structural, large dimensional, dynamic factor model. We find that the government spending shock is non-fundamental for the variables commonly used in the structural VAR literature, so that its impulse response functions cannot be consistently estimated by means of a VAR. Government spending raises both consumption and investment, with no ev...

This paper considers whether debt-based capital inflows have different effects onmany shortrun macroeconomic indicators than equity-based capital inflows. Using external instruments in a structural VAR for identification, we estimate the response of domestic variables like the output gap, inflation, the exchange rate, stock prices, credit growth, and interest rates to an exogenous shock to debt...

This paper represents a first attempt to study China’s business cycles using a formal analytical framework, namely, a structural VAR model. It is found that: (a) demand shocks were the dominant source of macroeconomic fluctuations, but supply shocks had gained more importance over time; (b) the driving forces of demand shocks were consumption and fixed investment in the first cycle of 1985–90, ...