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A multivariate model that allows for both a time-varying cointegrating matrix and time-varying cointegrating rank is presented. The model addresses the issue that, in real data, the validity of a constant cointegrating relationship may be questionable. The model nests the submodels implied by alternative cointegrating matrix ranks and allows for transitions between stationarity and nonstationarity, and cointegrating and noncointegrating relationships in accordance with the observed behavior of the data. A Bayesian test of cointegration is also developed. The model is used to assess the validity of the Fisher effect and is also applied to equity market data.  相似文献   
2.
This article assesses the productivity effects of infrastructure operation and maintenance (O&M) spending by state and local governments in the 48 contiguous U.S. states over the period 1978–2000. We explicitly account for transboundary spillovers of capital and O&M spending and follow a semiparametric methodology that allows us to estimate state‐specific output elasticities. We find strong evidence that in all 48 states the cross‐state spillover effects of O&M outlays on productivity exceed their within‐state impacts and are substantially higher than the spillover effects of capital expenditure. (JEL C14, E22, E62, H76, O11, O47, R11)  相似文献   
3.
The paper estimates empirically cost efficiency of the Greek banking system for the period 1993–1998. The beginning of the examination period coincides with the acceleration of liberalization and deregulation of the Greek financial system, in view of the country joining the EMU. The study uses a multi-input, multi-output technology and adopts a heteroscedastic frontier model instead of a commonly used homoscedastic one to measure cost efficiency in the banking system. The empirical results show that larger banks are less efficient than smaller ones. Also, it is found that economic performance, bank loans and investments are positive related to the cost efficiency of the Greek commercial banking sector.  相似文献   
4.
Theoretical models of contagion and spillovers allow for asset-specific shocks that can be directly transmitted from one asset to another, as well as indirectly transmitted across uncorrelated assets through some intermediary mechanism. Standard multivariate Generalized Autoregressive Conditional Heteroskedasticity (GARCH) models, however, provide estimates of volatilities and correlations based only on the direct transmission of shocks across assets. As such, spillover effects via an intermediary asset or market are not considered. In this article, a multivariate GARCH model is constructed that provides estimates of volatilities and correlations based on both directly and indirectly transmitted shocks. The model is applied to exchange rate and equity returns data. The results suggest that if a spillover component is observed in the data, the spillover augmented models provide significantly different volatility estimates compared to standard multivariate GARCH models.  相似文献   
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