Arbeitspapier
Modelling zero-inflated count data when exposure varies: With an application to sick leave
This paper is concerned with the analysis of zero-inflated count data when time of exposure varies. It proposes a new zero-inflated count data model that is based on two homogeneous Poisson processes and accounts for exposure time in a theory consistent way. The new model is used in an application to the effect of insurance generosity on the number of absent days.
- Sprache
-
Englisch
- Erschienen in
-
Series: Working Paper ; No. 61
- Klassifikation
-
Wirtschaft
Time Allocation, Work Behavior, and Employment Determination: Other
Single Equation Models; Single Variables: Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
- Thema
-
exposure
Poisson regression
complementary log-log link
Zähldatenmodell
Stochastischer Prozess
Regression
Theorie
- Ereignis
-
Geistige Schöpfung
- (wer)
-
Baetschmann, Gregori
Winkelmann, Rainer
- Ereignis
-
Veröffentlichung
- (wer)
-
University of Zurich, Department of Economics
- (wo)
-
Zurich
- (wann)
-
2012
- DOI
-
doi:10.5167/uzh-59265
- Handle
- Letzte Aktualisierung
-
10.03.2025, 11:41 MEZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
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Objekttyp
- Arbeitspapier
Beteiligte
- Baetschmann, Gregori
- Winkelmann, Rainer
- University of Zurich, Department of Economics
Entstanden
- 2012
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