Search results for "Duration data"
showing 3 items of 3 documents
A competing risks tale on successful and unsuccessful fiscal consolidations
2019
Abstract This paper analyses the transitions out of fiscal consolidations using annual data for 17 industrial countries over the period 1975-2013 and applying a discrete-time competing risks duration model. Our approach allows us to distinguish the factors behind a successful or an unsuccessful end of fiscal consolidation episodes. The results show that economic and political factors, the size and typology of fiscal adjustments and the occurrence of crises explain the differences in the length and the success/failure of fiscal consolidations. Moreover, while fiscal adjustment programmes that end successfully display positive duration dependence, those that end in an unsuccessful manner are …
Locus of Control and Mothers' Return to Employment
2016
This paper investigates the effect of locus of control (LOC) on the length of mothers’ employment break after childbirth. Using data from the German Socio-Economic Panel Study (SOEP), duration data reveals that women with an internal LOC return to employment more quickly than women with an external LOC. We find evidence that this effect is mainly related to differential appreciation of the career costs of longer maternity leave. Given the high level of job protection enjoyed by mothers in Germany, economic consequences of differences in this non-cognitive skill can be expected to be larger in other settings.
The Epidemiology of Hip and Knee Primary and Revision Arthroplasties during the COVID-19 Pandemic
2021
Background: The purpose of this study was to provide a comprehensive assessment of the impact of the COVID-19 pandemic on the epidemiology of primary and revision arthroplasties of the hip and knee joint. Methods: This study compared the data on knee and hip arthroplasty procedures from 2 hospitals (primary and revision) conducted in two periods: the period of the COVID-19 pandemic in Poland (from 4 March 2020 to 15 October 2020) and the corresponding period prior to the pandemic (from 4 March 2019 to 15 October 2019). We compared the epidemiological data, demographic data, and hospital stay duration data from these two periods. Results: Our analysis demonstrated that the total number of hi…