Nauki Humanistyczne i Społeczne

Central European Journal of Economic Modelling and Econometrics

Zawartość

Central European Journal of Economic Modelling and Econometrics | 2014 | No 1 |

Abstrakt

Bartlett’s paradox has been taken to imply that using improper priors results in Bayes factors that are not well defined, preventing model comparison in this case. We use well understood principles underlying what is already common practice, to demonstrate that this implication is not true for some improper priors, such as the Shrinkage prior due to Stein (1956). While this result would appear to expand the class of priors that may be used for computing posterior odds, we warn against the straightforward use of these priors. Highlighting the role of the prior measure in the behaviour of Bayes factors, we demonstrate pathologies in the prior measures for these improper priors. Using this discussion, we then propose a method of employing such priors by setting rules on the rate of diffusion of prior certainty.

Przejdź do artykułu

Autorzy i Afiliacje

Rodney W. Strachan
Herman K. van Dijk

Abstrakt

In the paper, we document how conditional dependencies observed in the FOREX market change during a trading day. The analysis is performed for the pairs (GBP/EUR, USD/EUR) and (GBP/USD, EUR/USD) of exchange rates. We consider daily returns calculated using the exchange rates quoted at different hours of a day. The dynamics of the dependencies is modeled by means of 3-regime Markov regime switching copula models, and the strength of the linkages is described using dynamic Spearman’s rho and the dynamic coefficients of tail dependence. The established approach allows us to monitor the changes in the dependence structure.

Przejdź do artykułu

Autorzy i Afiliacje

Małgorzata Doman
Ryszard Doman

Abstrakt

If the most parsimonious behavioral model between an observed behavior, Y, and some factors, X, can be defined as f(Y|X1, X2), then fx1 will measure the impact in behavior of a change in factor X1. Additionally, if fx1x2 ≠ 0, then the impact in behavior of a change in factor X1 is qualified, or moderated by X2. If this is the case, X2 is said to be a moderating variable and fx1x2 is said to be the moderating effect. When Y is modeled via a logistic regression, the moderation effect will exist regardless of whether the index function of the logit specification includes a moderation term or not. Thus, including a moderation terms in the index function will help the researcher more precisely qualify the moderation effect between X1 and X2. The question that naturally arises is whether the researcher must include the moderation term or not. In this document, we provide the conditions in which moderation terms will naturally arise in a logistic regression and introduce some modeling guidelines. We do so by introducing a general framework that nests models with no moderation terms in three scenarios for the independent variables, commonly found in applied research.

Przejdź do artykułu

Autorzy i Afiliacje

Alfredo A. Romero

Redakcja

Editors
JACEK OSIEWALSKI, Cracow University of Economics, Poland
ALEKSANDER WELFE, University of Lodz, Poland

Co-Editors

KATARZYNA BIEŃ-BARKOWSKA, SGH Warsaw School of Economics, Poland
MIKOŁAJ CZAJKOWSKI, University of Warsaw, Poland
JAKUB GROWIEC, SGH Warsaw School of Economics, Poland
MAREK GRUSZCZYŃSKI, SGH Warsaw School of Economics, Poland
BOGUMIŁ KAMIŃSKI, SGH Warsaw School of Economics, Poland
MARCIN KOLASA, SGH Warsaw School of Economics, Poland
ANNA PAJOR, Cracow University of Economics, Poland

Associate Editors
KARIM ABADIR, The American University in Cairo, Cairo, Egypt
ANINDYA BANERJEE, University of Birmingham, UK
STEPHEN HALL, University of Leicester, UK
GARY KOOP, University of Strathclyde, Glasgow, UK
MARK STEEL, University of Warwick, UK
MARTIN WAGNER, Technical University of Dortmund, Germany
JAN WERNER, University of Minnesota, USA
PETER WINKER, University of Giessen, Germany

Editorial Board

HERMAN van DIJK, Erasmus University Rotterdam and VU University Amsterdam, The Netherlands
LAWRENCE R. KLEIN, University of Pennsylvania, Benjamin Franklin Professor of Economics, USA
TIMO TERASVIRTA, University of Aarhus, Denmark
HELMUT LUETKEPOHL, Freie Universität Berlin, Germany

Publishing Editor

ANNA STASZEWSKA-BYSTROVA, University of Lodz, Poland

Editorial Assistant

AGNIESZKA RYGIEL, Cracow University of Economics, Poland

Kontakt

CEJEME Editorial Office - Ms. Karolina Jaszczyk, Polish Academy of Sciencies - Lodz Branch
Piotrkowska Str. 137/139, 90-434 Lodz, Poland
e-mail: cejeme@pan.pl

Instrukcje dla autorów

Submission Guidelines and Instructions for Authors of accepted papers please visit: http://cejeme.org/submissionguidelines.aspx

Ta strona wykorzystuje pliki 'cookies'. Więcej informacji