Is unemployment asymmetric over the business cycle?

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Is unemployment asymmetric over the business cycle?

Πουμπουρίδης, Κωνσταντίνος (EL)
Poumpouridis, Konstantinos (EN)

Παναγιωτίδης, Θεόδωρος (EL)
Μπόϊκος, Σπυρίδων (EL)

Bachelor's Degree Paper (EN)
Text (EN)

2022-06-29T08:33:22Z
2022 (EL)


Η βιβλιοθήκη διαθέτει αντίτυπο της πτυχιακής μόνο σε ηλεκτρονική μορφή. (EL)
Πτυχιακή εργασία--Πανεπιστήμιο Μακεδονίας, Θεσσαλονίκη, 2022. (EL)
Made available in DSpace on 2022-06-29T08:33:22Z (GMT). No. of bitstreams: 3 license_rdf: 701 bytes, checksum: 42fd4ad1e89814f5e4a476b409eb708c (MD5) PoumpouridisKonstantinosPe2022.pdf: 1902931 bytes, checksum: cee8294d5ab440afc04305a154f074d2 (MD5) ΠρακτικόΒαθμολόγησής.pdf: 336215 bytes, checksum: d99e9ce2793860bbe68b15c1fa20fd56 (MD5) Previous issue date: 2022 (EN)
Submitted by ΚΩΝΣΤΑΝΤΙΝΟΣ ΠΟΥΜΠΟΥΡΙΔΗΣ ([email protected]) on 2022-06-27T15:53:48Z No. of bitstreams: 3 license_rdf: 701 bytes, checksum: 42fd4ad1e89814f5e4a476b409eb708c (MD5) PoumpouridisKonstantinosPe2022.pdf: 1902931 bytes, checksum: cee8294d5ab440afc04305a154f074d2 (MD5) ΠρακτικόΒαθμολόγησής.pdf: 336215 bytes, checksum: d99e9ce2793860bbe68b15c1fa20fd56 (MD5) (EN)
Approved for entry into archive by Κυριακή Μπαλτά ([email protected]) on 2022-06-29T08:33:22Z (GMT) No. of bitstreams: 3 license_rdf: 701 bytes, checksum: 42fd4ad1e89814f5e4a476b409eb708c (MD5) PoumpouridisKonstantinosPe2022.pdf: 1902931 bytes, checksum: cee8294d5ab440afc04305a154f074d2 (MD5) ΠρακτικόΒαθμολόγησής.pdf: 336215 bytes, checksum: d99e9ce2793860bbe68b15c1fa20fd56 (MD5) (EN)
In this study we revisit a significant work conducted by Rothman in 1998. With a view to finding the most suitable model for the interpretation of the asymmetric unemployment rates, various nonlinear ARMA models were introduced estimated and examined for their ability to account for this asymmetric behaviour plus forecast its future values. We aim on replicating the estimations, with data of the U.S. unemployment rates corresponding to the same as well as an extended time period, for the purpose of finding out how the models vary when we add additional and more modern observations. Data of the Greek unemployment rates is also used, demonstrating how these models look for this particular case and if there is a difference with the first one. Graphs showing the course of the coefficients values and t-statistics over time are also included. The models used are: Autoregressive (AR), Self-Exciting autoregressive (SETAR), Exponential smooth transition Autoregressive (ESTAR), Exponential Autoregressive (EAR), Generalized Autoregressive (GAR) and the Bilinear. We begin with the replication of the models using the same dataset, of the US quarterly unemployment rates of the period 1949:1 - 1979:4. The results indicate small deviations mainly on the thresholds of the two Threshold autoregressive models (TAR). Afterwards we expand the dataset to 2008:2 and repeat the estimations for the same models, this time finding only two models to be significant. Out of sample forecasts are then performed and interesting results are found for the HP-Filtered data. Lastly, we repeat the same analysis using Greek unemployment rates for the time period of 2001:1 - 2021:4 and conclude with similar results for the two countries, with the ESTAR model proving to be the best expansion of the Autoregressive model for both cases, even though it still needs a lot of improvement. (EN)
Submitted by ΚΩΝΣΤΑΝΤΙΝΟΣ ΠΟΥΜΠΟΥΡΙΔΗΣ ([email protected]) on 2022-06-27T11:58:54Z No. of bitstreams: 2 license_rdf: 701 bytes, checksum: 42fd4ad1e89814f5e4a476b409eb708c (MD5) PoumpouridisKonstantinosPe2022.pdf: 1902931 bytes, checksum: cee8294d5ab440afc04305a154f074d2 (MD5) (EN)
Rejected by Κυριακή Μπαλτά ([email protected]), reason: Παρακαλούμε να αναρτηθεί το πρακτικό βαθμολόγησης της εργασίας σας (email γραμματείας που σας δίνει την άδεια ανάρτησής της) on 2022-06-27T15:34:19Z (GMT) (EN)


Nonlinear ARMA models (EN)
Model selection (EN)
Forecast (EN)
Nonlinearity (EN)
Unemployment (EN)

Πανεπιστήμιο Μακεδονίας (EL)

Τμήμα Οικονομικών Επιστημών (ΠΕ) (EL)

CC0 1.0 Παγκόσμια (EL)
http://creativecommons.org/publicdomain/zero/1.0/




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