Full-text resources of CEJSH and other databases are now available in the new Library of Science.
Visit https://bibliotekanauki.pl

Results found: 7

first rewind previous Page / 1 next fast forward last

Search results

Search:
in the keywords:  Bayesian econometrics
help Sort By:

help Limit search:
first rewind previous Page / 1 next fast forward last
1
Publication available in full text mode
Content available

Bayesian Analysis for Hybrid MSF–SBEKK Models of Multivariate Volatility

100%
Osiewalski J., Pajor A.
Central European Journal of Economic Modelling and Econometrics
|
2009
|
issue 2
2
Publication available in full text mode
Content available

Hybrid MSV-MGARCH Models - General Remarks and the GMSF-SBEKK Specification

100%
Osiewalski K.
Central European Journal of Economic Modelling and Econometrics
|
2016
|
issue 4
3
Publication available in full text mode
Content available

Bayesian Value-at-Risk for a Portfolio: Multi- and Univariate Approaches using MSF-SBEKK Models

100%
Osiewalski J., Pajor A.
Central European Journal of Economic Modelling and Econometrics
|
2010
|
issue 4
4
Publication available in full text mode
Content available

Missing Observations in Daily Returns – Bayesian Inference within the MSF-BEKK Model

100%
Osiewalski K., Osiewalski J.
Central European Journal of Economic Modelling and Econometrics
|
2012
|
issue 3
5
Publication available in full text mode
Content available

Long-Run Relationship between Daily Prices on Two Markets: The Bayesian VAR(2)-MSF-SBEKK Model

100%
Osiewalski K., Osiewalski J.
Central European Journal of Economic Modelling and Econometrics
|
2013
|
issue 1
6
Publication available in full text mode
Content available

On Sensitivity of Inference in Bayesian MSF-MGARCH Models

100%
Osiewalski J., Pajor A.
Central European Journal of Economic Modelling and Econometrics
|
2019
|
issue 3
7
Publication available in full text mode
Content available

Bayesowskie graniczne funkcje kosztu dla sektora dystrybucji energii

100%
Osiewalski J., Wróbel-Rotter R.
Folia Oeconomica Cracoviensia
|
2008-2009
|
vol. 49-50
47-69
EN
The paper discusses the application of the Bayesian stochastic frontier cost functions as a tool for assessing and comparing the cost efficiency of firms. The analysis is based on the microeconomic production theory and the concept of inefficiency that is related to the existence of inner mechanisms responsible for observing costs higher than indicated by theory, given technical and economic environment of firms. The stochastic cost frontier allows to estimate individual cost efficiency and to precisely decompose the observed cost into theoretical categories, such as minimal excessive or systematic cost, which play crucial role in assessing the economic behavior of firms. From the empirical perspective the most important is the minimal cost, which denotes the cost that is indispensable to achieve the observed production level given technology, input prices, cost effects of random variability. The Bayesian estimation of stochastic cost frontiers for panel data allows to treat a number of issues unsolved on the classical ground, such as stability of empirical results, assessment of the uncertainty of cost categories and efficiency coefficients. As a fundamental tool for the analysis we present the Bayesian random effects m odel with constant efficiency distribution. The methodology is illustrated with the cost function for the 14 firms operating in the electricity distribution sector observed over 6 years.
first rewind previous Page / 1 next fast forward last
JavaScript is turned off in your web browser. Turn it on to take full advantage of this site, then refresh the page.