The output gap as a barometer of economy management in the light of the secular stagnation on the example of Poland

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Tytuł
The output gap as a barometer of economy management in the light of the secular stagnation on the example of Poland
Odpowiedzialność
Elżbieta Szaruga
Twórcy
  • Szaruga Elżbieta ( Autor ) 5.6
    Afiliacja, Pracownik naukowy :
    Instytut Zarządzania
Punktacja publikacji
Osoba Dysc. Pc k m P U Pu Opis
0000-0001-6205-1311 5.6 70 1 1 70,00 1,0000 70,0000 aut. roz., konferencja z listy
Gł. język publikacji
Angielski (English)
Data publikacji
2021
Objętość
1,3 (arkuszy wydawniczych), 23 (stron).
Adres URL
https://ibima.org/accepted-paper/theoutput-gap-as-a-barometer-of-economy-management-in-the-light-of-the-secular-stagnation-on-the-example-of-poland1/
Uwaga ogólna
Publikacja z : 37th International Business Information Management Association Conference (IBIMA), 30-31 May 2021, Cordoba, Spain.
Finansowanie
Cechy publikacji
  • Publikacja konferencyjna

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Dane konferencji
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Słowa kluczowe
Dokument źródłowy
Innovation management and information technology impact on global economy in the era of pandemic : proceedings of the 37th International Business Information Management Association Conference (IBIMA), 30-31 May 2021, Cordoba, Spain / editor Khalid S. Soliman.. - King of Prussia : International Business Information Management Association, 2021
Strony: 2788-2811
Seria: Proceedings of the ... International Business Information Management Association Conference 2767-9640 ;
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BibTeX, RIS
Data zgłoszenia do bazy Publi
2021-06-13
PBN
Wyświetl
WorkId
27170

Abstrakt

en

The research problem was formulated as a question: are demand-supply shocks affecting the opening up of a negative or positive output gap? The hypothesis was formulated: demand-supply shocks have a significant impact on the opening up and deepening of the negative output gap, thereby causing real GDP to shrink or potential GDP to grow. The spatial range applies to Poland and the time period - 2008:Q1-2019:Q4. The methodology consists of three stages: the first is the decomposition of the time series using the TRAMO/SEATS on the components: seasonality, trend-cycle, irregular; the second - the decomposition of the trend-cycle component using the Hodrick-Prescott filter into two separate components; the third is the calculation of the output gap. The output gap is in the range of - 11% to +10%. After cleaning it, the shock elements are between -2.2% and 2%. Demandsupply shocks open up and widen the negative output gap.

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