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EN
Research background: The evaluation of the predictive strength of MIP indicators in relation to crises is extremely important for the process of coordinating the economic policies of the EU countries. MIP is one of the pillars of the economic crisis prevention procedure. Predictive power of individual indicators has not been tested before their introduction. Purpose of the article: Evaluation of the predictive strength of fourteen MIP indicators in relation to multidimensional crises in the EU countries. Methods: We used ordered probit model to test the ability of MIP indicators to correctly predict episodes of ?multidimensional crises? (as defined by the authors) in the period between 2008 and 2017 in all EU Member States. Findings & Value added: We defined ?multidimensional crises?, combining several negative phenomena into one limited dependent variable. This work is also novel in its application of probit regression to test the predictive strength of MIP indicators with an ordered probit model. We identified five MIP variables which were statistically significant in predicting ?multidimensional crises? for all EU countries: net international investment position, nominal unit labour cost index, house price index, private sector credit flow and general government gross debt. Other variables turned out to be less important or not effective in crises prediction.
EN
There are prospects of new technological concepts, covering both the engineering and natural science, beyond the extension of the educational offer of new faculties and departments of study, created by the establishment of a new university on 1 January 2009 as a result of merging Technical University of Szczecin and University of Agriculture in Szczecin. The paper presents an analysis of the opinion of students at the time of the observed changes in work organization and in teaching. An ordered probit model was used to assess the pleasure degree of merging both colleges, since almost all variables chosen through a questionnaire had quality character, whereas the response variables were ordered measurement.
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