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National Repository of Grey Literature 12 records found  previous11 - 12  jump to record: Search took 0.01 seconds. 
Utilizing Bootstrap and Cross-validation for prediction error estimation in regression models
 Lepša, Ondřej ; Bašta, Milan (advisor) ; Malá, Ivana (referee)
Finding a well-predicting model is one of the main goals of regression analysis. However, to evaluate a model's prediction abilities, it is a normal practice to use criteria which either do not serve this purpose, or criteria of insufficient reliability. As an alternative, there are relatively new methods which use repeated simulations for estimating an appropriate loss function -- prediction error. Cross-validation and bootstrap belong to this category. This thesis describes how to utilize these methods in order to select a regression model that best predicts new values of the response variable.
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Wage rigidities in chosen EU countries
 Janus, Ondřej
The objective of this thesis is to estimate the real wage rigidities in chosen EU countries and their influence on long term unemployment. Two main approaches used in this thesis are multiple regression analysis applied on Phillips curve and Structural VAR. The results show the development of wage flexibility before and after the crisis, heterogeneity of wage flexibility across the chosen EU countries and positive correlation between wage flexibility and low long-term unemploy-ment rate.
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