Showing 1 - 10 of 18
We provide a new asymptotic theory for local time density estimation for a general class of functionals of integrated … time series. This result provides a convenient basis for developing an asymptotic theory for nonparametric cointegrating … avoids Fourier integral representations and Markov process theory which have been used in earlier research on this type of …
Persistent link: https://www.econbiz.de/10012778972
Estimation of the memory parameter (d) is considered for models of nonstationary fractionally integrated time series with d gt; (1/2). It is shown that the log periodogram regression estimator of d is inconsistent when 1 lt; d lt; 2 and is consistent when (1/2) lt; d = 1. For d gt; 1, the...
Persistent link: https://www.econbiz.de/10012779219
-parametric tests. Small-b asymptotics involve standard limit theory such as standard normal or chi-squared limits, whereas fixed …
Persistent link: https://www.econbiz.de/10012783449
Kernel-based estimators such as local polynomial estimators in regression discontinuity designs are often evaluated at multiple bandwidths as a form of sensitivity analysis. However, if in the reported results, a researcher selects the bandwidth based on this analysis, the associated confidence...
Persistent link: https://www.econbiz.de/10012952734
Some limit properties for information based model selection criteria are given in the context of unit root evaluation and various assumptions about initial conditions. Allowing for a nonparametric short memory component, standard information criteria are shown to be weakly consistent for a unit...
Persistent link: https://www.econbiz.de/10012771858
Kernel-based estimators are often evaluated at multiple bandwidths as a form of sensitivity analysis. However, if in the reported results, a researcher selects the bandwidth based on this analysis, the associated confidence intervals may not have correct coverage, even if the estimator is...
Persistent link: https://www.econbiz.de/10013018507
Time series models are often fitted to the data without preliminary checks for stability of the mean and variance, conditions that may not hold in much economic and financial data, particularly over long periods. Ignoring such shifts may result in fitting models with spurious dynamics that lead...
Persistent link: https://www.econbiz.de/10013020466
Kernel-based estimators are often evaluated at multiple bandwidths as a form of sensitivity analysis. However, if in the reported results, a researcher selects the bandwidth based on this analysis, the associated confidence intervals may not have correct coverage, even if the estimator is...
Persistent link: https://www.econbiz.de/10013043191
theory and asymptotic expansions for the process and document how inference in LUR and STUR autoregressions is affected …
Persistent link: https://www.econbiz.de/10012931700
While differencing transformations can eliminate nonstationarity, they typically reduce signal strength and correspondingly reduce rates of convergence in unit root autoregressions. The present paper shows that aggregating moment conditions that are formulated in differences provides an orderly...
Persistent link: https://www.econbiz.de/10013148982