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HOW BANKING SYSTEM IN POST-SOVIET ECONOMIES ASSIST TO THEIR DEVELOPMENT. THE CASE STUDY OF ARMENIA

Mnatsakanyan, Hakob; Kanas, Angelos; Rafayelov, Zohrak - EconWPA - 2004

Persistent link: https://www.econbiz.de/10005407976

Credible Granger-Causality Inference with Modest Sample Lengths: A Cross-Sample Validation Approach

Ashley, Richard A.; Tsang, Kwok Ping - In: Econometrics 2 (2014) 1, pp. 72-91

Credible Granger-causality analysis appears to require post-sample inference, as it is well-known that in-sample fit … terms of power relative to the in-sample Granger-causality F test, is manageable. An illustrative application is given, to a …

Persistent link: https://www.econbiz.de/10011031448

Nonparametric Regression Estimation for Multivariate Null Recurrent Processes

Cai, Biqing; Tjøstheim, Dag - In: Econometrics 3 (2015) 2, pp. 265-288

This paper discusses nonparametric kernel regression with the regressor being a \(d\)-dimensional \(\beta\)-null recurrent process in presence of conditional heteroscedasticity. We show that the mean function estimator is consistent with convergence rate \(\sqrt{n(T)h^{d}}\), where \(n(T)\) is...

Persistent link: https://www.econbiz.de/10011254954

ON THE ROLE OF WAGES IN THE UKRAINIAN TRANSITION PROCESS : AN EMPIRICAL INVESTIGATION

Fazio, Gioacchino; Hueber, Olivier - EconWPA - 2004

cointegration test, we assert that between January 1992 and November 1995, the Ukraine was faced with a complex monetary regime in …

Persistent link: https://www.econbiz.de/10005407979

Estimating Short and Long Run Relationships: A Guide to the Applied Economist

Rao, Bhaskara - EconWPA - 2005

Many applied economists face problems in selecting an appropriate technique to estimate short and long run relationships with the time series methods. This paper reviews three alternative approaches viz., general to specific (GETS), vector autoregressions (VAR) and the vector error correction...

Persistent link: https://www.econbiz.de/10005556358

The Determinants of the Harare Stock Exchange (HSE) Market Capitalisation

Ilmolelian, Peter - EconWPA - 2005

This is an exploratory study that attempts to identify and provide empirical evidence on the possible determinants of the market capitalisation of the Harare Stock Exchange (HSE) with the view of understanding the development prospects of the HSE and other similar markets. The study used...

Persistent link: https://www.econbiz.de/10005119105

Subsampling Cointegration Ranks in Large Systems

Pu, Chen; Chihying, Hsiao - EconWPA - 2005

In this paper we investigate the possibility of the application of subsampling procedure for testing cointegration … distribution and nuisance parameters in testing for cointegration rank without an explicitly formulated structural model. The … cointegration rank in large scale models, where the standard procedures hits already its limit. For empirical relevant cases our …

Persistent link: https://www.econbiz.de/10005119151

Assessing Forecast Performance in a VEC Model: An Empirical Examination

Zacharias, Bragoudakis - EconWPA - 2005

ability of the model to forecast not only one-period ahead but also many periods into the future. Keywords: Cointegration …

Persistent link: https://www.econbiz.de/10005119198

Two-Part Models for Fractional Responses Defined as Ratios of Integers

Oberhofer, Harald; Pfaffermayr, Michael - In: Econometrics 2 (2014) 3, pp. 123-144

This paper discusses two alternative two-part models for fractional response variables that are defined as ratios of integers. The first two-part model assumes a Binomial distribution and known group size. It nests the one-part fractional response model proposed by Papke and Wooldridge (1996)...

Persistent link: https://www.econbiz.de/10010945729

Information Recovery in a Dynamic Statistical Markov Model

Miller, Douglas J.; Judge, George - In: Econometrics 3 (2015) 2, pp. 187-198

Although economic processes and systems are in general simple in nature, the underlying dynamics are complicated and seldom understood. Recognizing this, in this paper we use a nonstationary-conditional Markov process model of observed aggregate data to learn about and recover causal influence...

Persistent link: https://www.econbiz.de/10011211017

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