Showing 1 - 10 of 155
We apply a discrete choice approach to model the empirical behavior of the Federal Reserve in changing the federal funds target rate, the benchmark of short term market interest rates in the US. Our methods allow the explanatory variables to be nonstationary as well as stationary. This feature...
Persistent link: https://www.econbiz.de/10004990689
This paper develops an asymptotic theory for time series discrete choice models with explanatory variables generated as integrated processes and with multiple choices and threshold parameters determining the choices. The theory extends recent work by Park and Phillips (2000) on binary choice...
Persistent link: https://www.econbiz.de/10004990739
Instrumental variable (IV) estimation methods that allow for certain nonlinear functions of the data as instruments are … studied. The context of the discussion is the simple unit root model where certain advantages to the use of nonlinear …
Persistent link: https://www.econbiz.de/10004990782
linear forms of these regressors. It is a consequence of the fact that the estimating equations involve nonlinear integrable …
Persistent link: https://www.econbiz.de/10005593165
Employing power kernels suggested in earlier work by the authors (2003), this paper shows how to re.ne methods of robust inference on the mean in a time series that rely on families of untruncated kernel estimates of the long-run parameters. The new methods improve the size properties of...
Persistent link: https://www.econbiz.de/10005464005
Nonstationarity is certainly one of the most dominant and enduring characteristics of macroeconomic and financial time series. It therefore seems appropriate that this feature of the data be seriously addressed both in econometric methodology and in empirical practice. However, until recently...
Persistent link: https://www.econbiz.de/10005093958
In time series regressions with nonparametrically autocorrelated errors, it is now standard empirical practice to use kernel-based robust standard errors that involve some smoothing function over the sample autocorrelations. The underlying smoothing parameter b, which can be defined as the ratio...
Persistent link: https://www.econbiz.de/10005093965
In time series regression with nonparametrically autocorrelated errors, it is now standard empirical practice to construct confidence intervals for regression coefficients on the basis of nonparametrically studentized t-statistics. The standard error used in the studentization is typically...
Persistent link: https://www.econbiz.de/10005087368
This paper offers a general approach to time series modeling that attempts to reconcile classical and methods. The central idea put forward to achieve reconciliation is that the Bayesian approach relies implicitly a frame of reference for the data generating mechanism that is quite different...
Persistent link: https://www.econbiz.de/10005087400
(nonlinear) term in the regression that takes account of possible perturbation effects in the data. Under some smoothness …
Persistent link: https://www.econbiz.de/10005593344