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Keyword: strong dependence;

7 results found.

Econometrics Paper

Inference Without Smoothing for Large Panels with Cross- Sectional and Temporal Dependence

Javier Hidalgo and Marcia M Schafgans

This paper addresses inference in large panel data models in the presence of both cross-sectional and temporal dependence of unknown form. We are interested in making inferences without relying on the choice of any smoo...Read more...

20 February 2018

Econometrics Paper

Testing for Breaks in Regression Models with Dependent Data

Violetta Dalla and Javier Hidalgo

Econometrics Paper

Inference and Testing Breaks in Large Dynamic Panels with Strong Cross Sectional Dependence

Javier Hidalgo and Marcia M Schafgans

This paper is concerned with various issues related to inference in large dynamic panel data models (where both n and T increase without bound) in the presence of, possibly, strong cross-sectional dependence. Our first a...Read more...

1 April 2015

Econometrics Paper

A Parametric Bootstrap Test for Cycles

Violetta Dalla and Javier Hidalgo

The paper proposes a simple test for the hypothesis of strong cycles and as a by-product a test for weak dependence for linear processes. We show that the limit distribution of the test is the maximum of a (semi)Gaussian...Read more...

February 2005

Econometrics Paper

Consistent Order Selection with Strongly Dependent Data and its Application to Efficient Estimation

Javier Hidalgo

Order selection based on criteria by Akaike (1974), AIC, Schwarz (1978), BIC or Hannan and Quinn (1979) HIC is often applied in empirical examples. They have been used in the context of order selection of weakly dependen...Read more...

February 2002

Econometrics Paper

Prediction and Signal Extraction of Strong Dependent Processess in the Frequency Domain

Javier Hidalgo and Yoshihiro Yajima

We frequently observe that one of the aims of time series analysts is to predict future values of the data. For weakly dependent data, when the model is known up to a finite set of parameters, its statistical properties ...Read more...

June 2001

Econometrics Paper

Nonparametric Estimation with Strongly Dependent Multivariate Time-Series - (Now published in 'Journal of Time Series Analysis',18 (1997)pp.95-122.)

Javier Hidalgo

Smooth nonparametric kernel density and regression estimators are studied when the data is strongly dependent. In particular, we derive Central (and Noncentral) Limit Theorems for the kernel density estimator of a multiv...Read more...

February 1996