Discrete-time Duration Models

Discrete-Time Duration Models is a class of statistical models in duration analysis that belong to the broader category of duration models and are distinguished by their specification of the hazard function in discrete time intervals, enabling the modeling of event occurrence probabilities at distinct, countable time points rather than continuously over time.

115

Publications

7.4K

Citations

223

Authors

145

Institutions

Publications per year

2017–2026

16

Authors

223

  1. CR
    Concetta Rondinelli

    Bank of Italy, Italy

    3 publications · 376 citations

    3

    h-index

  2. LF
    Ludwig Fahrmeir

    Ludwig-Maximilians-Universität München, Germany

    3 publications · 112 citations

    3

    h-index

  3. SP
    Stephen P. Jenkins

    University of Essex, United Kingdom

    3 publications · 947 citations

    3

    h-index

  4. CN
    Cheti Nicoletti

    University of Essex, United Kingdom

    3 publications · 376 citations

    3

    h-index

  5. GJ
    Gérard J. van den Berg

    Tinbergen Institute, Netherlands

    3 publications · 220 citations

    3

    h-index

1–5 of 223

Venues

  1. SSRN Electronic Journal

    Repository · 12 publications · 470 citations

    11

    h-index

  2. Econstor (Econstor)

    Repository · 5 publications · 85 citations

    5

    h-index

  3. Applied Economics

    4 publications · 267 citations

    4

    h-index

  4. RePEc: Research Papers in Economics

    Repository · 3 publications · 58 citations

    3

    h-index

  5. The Review of Economics and Statistics

    3 publications · 396 citations

    3

    h-index

1–5