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We consider truncated processes, both in discrete and continuous time, and study their dynamic properties. When the underlying process is a diffusion process, we derive the infinitesimal generator of its truncated counterpart. This result is the basis for the estimation of the drift and...
Persistent link: https://www.econbiz.de/10005671518
Brief summaries and user instruction are presented for the programs TRAMO ("Time Series regression with ARIMA Noise, Missing Observations and Outlers") and SEATS ("Signal Extraction in ARIMA Time Series").
Persistent link: https://www.econbiz.de/10005590679
Brief summeries and user instruction are presented for the programs TRAMO ("Time Series regression with ARIMA Noise, Missing Observations and Outlers") and SEATS ("Signal Extraction in ARIMA Time Series").
Persistent link: https://www.econbiz.de/10005618389
This paper is concerned with the empirical investigation of models of the US short term interest rate, using a mixture of classical non-parametric methods and of Bayesian parametric methods. The shape of the drift and volatility functions of the usual di usion equation are rst investigated using...
Persistent link: https://www.econbiz.de/10005634036
In this paper, the authors provide some asymptotic results for the J-type test on non-nested hypotheses proposed by Davidson and MacKinnon (1981), in the context of I(1) time series.
Persistent link: https://www.econbiz.de/10005478685
A new model of near integration is formulated in which the local to unity parameter is identifiable and consistently estimable with time series data. The properties of the model are investigated.
Persistent link: https://www.econbiz.de/10005245542
In this paper we obtain bounds under weaker nonparametric assumptions and explore how the bounds with assumptions imposed.
Persistent link: https://www.econbiz.de/10005200440
Persistent link: https://www.econbiz.de/10005207705
This paper estimates the long-term trends in the daily maxima of tropospheric ozone at six sites around the state of Texas. The statistical methodology we use controls for the effects of meteorological variables because it is known that variables such as temperature, wind speed and humidity...
Persistent link: https://www.econbiz.de/10005149032
This paper presnets a method for simultaneously estimating a system of nonparametric multiple regressions which may seem unrelated, but where the errors are potentially correlated between equations. We show that the prime advantage of estimating such a 'seemingly unrelated' system of...
Persistent link: https://www.econbiz.de/10005149073