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gretl, dynamic econometrics, Bayesian model averaging
Poland

Activities

Employment (1)

WSB Merito University in Torun: Torun, PL

2006-10-01 to present | professor
Employment
Source: Self-asserted source
Marcin Błażejowski

Funding (2)

Which C compiler and which BLAS/LAPACK library? - gretl numerical efficiency in different configurations

2023-02 to present | Grant
Oracle Polska Sp. z o.o. (Warszawa, PL)
GRANT_NUMBER:

v040119

Source: Self-asserted source
Marcin Błażejowski

The procedure of building a forecast model using the BACE approach for congruent model

Grant
Narodowe Centrum Nauki (Kraków, PL)
GRANT_NUMBER:

UMO-2016/21/B/HS4/01970

Source: Self-asserted source
Marcin Błażejowski

Works (19)

Which C compiler and BLAS/LAPACK library should I use: gretl’s numerical efficiency in different configurations

Computational Statistics
2024-12 | Journal article
Contributors: Marcin Błażejowski
Source: check_circle
Crossref
grade
Preferred source (of 2)‎

Do COVID-19 Lock-Downs Affect Business Cycle? Analysis Using Energy Consumption Cycle Clock for Selected European Countries

Energies
2022-01-04 | Journal article
Contributors: Tadeusz Kufel; Paweł Kufel; Marcin Błażejowski
Source: check_circle
Crossref
grade
Preferred source (of 4)‎

Factors of Renewable Energy Consumption in the European Countries—The Bayesian Averaging Classical Estimates Approach

Energies
2021-11-11 | Journal article
Contributors: Atif Maqbool Khan; Jacek Kwiatkowski; Magdalena Osińska; Marcin Błażejowski
Source: check_circle
Crossref
grade
Preferred source (of 8)‎

MIDAS Models And Db.Nomics.World Database In Gretl - Example of Nowcasting and Short Term Forecasting

International Business Information Management Association Conference
2020 | Journal article
Contributors: Kufel, Tadeusz; Kufel, Pawel; Blazejowski, Marcin
Source: check_circle
Web of Science Researcher Profile Sync

MIDAS Models And Db.Nomics.World Database In Gretl – Example of Nowcasting and Short Term Forecasting

35th International Business Information Management Association Conference
2020 | Conference paper | Author
SOURCE-WORK-ID:

5fa140332467f001e7859f19

Contributors: Marcin Błażejowski; Tadeusz Kufel; Paweł Kufel
Source: check_circle
National Information Processing Institute

Model simplification and variable selection: A replication of the UK inflation model by Hendry (2001)

Journal of Applied Econometrics
2020 | Journal article
EID:

2-s2.0-85085509516

Part of ISSN: 10991255 08837252
Contributors: Błażejowski, M.; Kufel, P.; Kwiatkowski, J.
Source: Self-asserted source
Marcin Błażejowski via Scopus - Elsevier
grade
Preferred source (of 4)‎

Modeling mechanism of economic growth using threshold autoregression models

Empirical Economics
2020 | Journal article
EID:

2-s2.0-85053446053

Part of ISSN: 14358921 03777332
Contributors: Osińska, M.; Kufel, T.; Błażejowski, M.; Kufel, P.
Source: Self-asserted source
Marcin Błażejowski via Scopus - Elsevier
grade
Preferred source (of 2)‎

Narrow Money Demand in Indonesia and in Other Transitional Economies – Model Selection and Forecasting

EUROPEAN RESEARCH STUDIES JOURNAL
2020-11-01 | Journal article
Part of ISSN: 1108-2976
Source: Self-asserted source
Marcin Błażejowski
grade
Preferred source (of 2)‎

BACE and BMA Variable Selection and Forecasting for UK Money Demand and Inflation with Gretl

Econometrics
2020-05-22 | Journal article
Contributors: Marcin Błażejowski; Jacek Kwiatkowski; Paweł Kufel
Source: check_circle
Crossref
grade
Preferred source (of 4)‎

Bayesian Model Averaging for Autoregressive Distributed Lag (BMA_ADL) in gretl

2020-01 | Working paper
URI:

https://ideas.repec.org/p/pra/mprapa/98387.html

Source: Self-asserted source
Marcin Błażejowski

Sources of Economic Growth: A Global Perspective

Sustainability
2019-01-08 | Journal article
Contributors: Marcin Błażejowski; Jacek Kwiatkowski; Jakub Gazda
Source: check_circle
Crossref
grade
Preferred source (of 4)‎

Model selection for modeling the demand for narrow money in transitional economies

2018-12-10 | Working paper
Source: Self-asserted source
Marcin Błażejowski

Bayesian Averaging of Classical Estimates (BACE) for gretl

2018-08 | Working paper
Source: Self-asserted source
Marcin Błażejowski

Bayesian model averaging in the studies on economic growth in the EU regions – Application of the gretl BMA package

Economics and Sociology
2016 | Journal article
EID:

2-s2.0-85008402649

Part of ISSN: 23063459 2071789X
Contributors: Błażejowski, M.; Gazda, J.; Kwiatkowski, J.
Source: Self-asserted source
Marcin Błażejowski via Scopus - Elsevier
grade
Preferred source (of 2)‎

Modelling and Forecasting Business Cycle in CEE Countries using a Threshold Approach

Dynamic Econometric Models
2016-12 | Journal article
Source: Self-asserted source
Marcin Błażejowski

Business Cycle Synchronization in EU Economies after the Recession of the Years 2007-2009

Argumenta Oeconomica
2016-05 | Journal article
Source: Self-asserted source
Marcin Błażejowski
grade
Preferred source (of 2)‎

Bayesian model averaging and jointness measures for gretl

Journal of Statistical Software
2015 | Journal article
EID:

2-s2.0-84949870734

Part of ISSN: 15487660
Contributors: Błażejowski, M.; Kwiatkowski, J.
Source: Self-asserted source
Marcin Błażejowski via Scopus - Elsevier
grade
Preferred source (of 2)‎

Zegar cyklu koniunkturalnego państw UE i USA w latach 1995-2013 w świetle badań synchronizacji

PRACE NAUKOWE UNIWERSYTETU EKONOMICZNEGO WE WROCŁAWIU
2015 | Journal article | Author
SOURCE-WORK-ID:

5e71863c46e0fb0001d1054d

Contributors: Marcin Błażejowski; Tadeusz Kufel; Magdalena Osińska; Paweł Kufel
Source: check_circle
National Information Processing Institute

Analiza porównawcza wybranych filtrów w analizie synchronizacji cyklu koniunkturalnego

PRACE NAUKOWE UNIWERSYTETU EKONOMICZNEGO WE WROCŁAWIU
2014 | Journal article | Author
SOURCE-WORK-ID:

5e71863c46e0fb0001d10549

Contributors: Marcin Błażejowski; Tadeusz Kufel; Magdalena Osińska; Paweł Kufel
Source: check_circle
National Information Processing Institute

Peer review (18 reviews for 10 publications/grants)

Review activity for Applied sciences. (2)
Review activity for Computational statistics. (3)
Review activity for Computational statistics. (1)
Review activity for Economies. (1)
Review activity for Forests. (1)
Review activity for Journal of classification. (2)
Review activity for Journal of classification. (1)
Review activity for Place branding and public diplomacy. (1)
Review activity for Processes. (2)
Review activity for Sustainability. (4)