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Animal spirits, technology shocks and the business cycle

Weder, Mark - 1997

able to. The introduction of animal spirits generates a low negative contemporaneous correlation of hours and productivity …

Persistent link: https://www.econbiz.de/10009659067

The local power of some unit root tests for panel data

Breitung, Jörg - 1999

(1993) and Im, Pesaran and Shin (1997) suggest bias adjusted t-statistics. Such corrections are necessary to account for the … affected by two different terms. The first term represents the asymptotic effect on the bias due the detrending method and the … do not require a bias correction. The results of a Monte Carlo experiment suggest that avoiding the bias can improve the …

Persistent link: https://www.econbiz.de/10009581103

Measurement error, biases, and the validation of complex models

Carroll, Raymond J.; Galindo, Christian D. - 1997

There are three major points to this article: 1. Measurement error causes biases in regression fits. The line one would obtain if one could accurately measure exposure to environmental lead media will differ in important ways when one measures exposure with error. 2. The effects of measurement...

Persistent link: https://www.econbiz.de/10009631751

On model based seasonal adjustment procedures

Breitung, Jörg - 1998

In this note the unobserved component approach underlying the software package SEATS is compared with the Beveridge-Nelson type of decomposition for seasonal time series. The main strength of the SEATS approach lies in the appealing model formulation and the careful specification and adjustment...

Persistent link: https://www.econbiz.de/10009574877

Nonparametric factor analysis of time series

Rodríguez Poo, Juan Manuel; Linton, Oliver - 1998

We introduce a nonparametric smoothing procedure for nonparametric factor analaysis of multivariate time series. The asymptotic properties of the proposed procedures are derived. We present an application based on the residuals from the Fair macromodel. -- Factor Analysis ; Time Series ; Kernel...

Persistent link: https://www.econbiz.de/10009578000

A nonparametric test for the stationary density

Neumann, Michael H.; Paparoditis, Efstathios - 1998

We propose a nonparametric test for checking parametric hypotheses about the stationary density of weakly dependent observations. The test statistic is based on the L2-distance between a nonparametric and a smoothed version of a parametric estimate of the stationary density. It can be shown that...

Persistent link: https://www.econbiz.de/10009578009

Nonparametric estimation in null recurrent times series

Karlsen, Hans Arnfinn; Tjostheim, Dag - 1998

We develop a nonparametric estimation theory in a non-stationary environment, more precisely in the framework of null …

Persistent link: https://www.econbiz.de/10009578015

Flexible stochastic volatility structures for high frequency financial data

Feldmann, David; Härdle, Wolfgang; Hafner, Christian M.; … - 1998

Stochastic Volatility (SV) models are widely used in financial applications. To decide whether standard parametric restrictions are justified for a given dataset, a statistical test is required. In this paper, we develop such a test based on the linear state space representation. We provide a...

Persistent link: https://www.econbiz.de/10009578026

Temporal aggregation and causality in multiple time series models

Breitung, Jörg; Swanson, Norman R. - 1998

asymptotic theory based on large aggregation intervals we derive conditions for a correspondence between both concepts. These …

Persistent link: https://www.econbiz.de/10009578029

Nonparametric autoregression with multiplicative volatility and additive mean

Yang, Lijian; Härdle, Wolfgang; Nielsen, Jens Perch - 1998

For over a decade, nonparametric modelling has been successfully applied to study nonlinear structures in financial time series. It is well known that the usual nonparametric models often have less than satisfactory performance when dealing with more than one lag. When the mean has an additive...

Persistent link: https://www.econbiz.de/10009578559

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