Flyer

Health Systems and Policy Research

  • ISSN: 2254-9137
  • Journal h-index: 10
  • Journal CiteScore: 1.70
  • Journal Impact Factor: 1.84
  • Average acceptance to publication time (5-7 days)
  • Average article processing time (30-45 days) Less than 5 volumes 30 days
    8 - 9 volumes 40 days
    10 and more volumes 45 days
Awards Nomination 20+ Million Readerbase
Indexed In
  • China National Knowledge Infrastructure (CNKI)
  • Cosmos IF
  • Scimago
  • Directory of Research Journal Indexing (DRJI)
  • OCLC- WorldCat
  • Publons
  • Geneva Foundation for Medical Education and Research
  • Euro Pub
  • Google Scholar
  • J-Gate
  • SHERPA ROMEO
  • International Committee of Medical Journal Editors (ICMJE)
Share This Page

Abstract

Pseudo-Panel Analysis in Danish: Less Cycle of Our Children

Ishita Panday*

The patterns of cycling demand for the Danish population are examined in this research. We examine the temporal stability of cycling demand preferences for various age cohorts in combination with residential city sizes using pseudopanels based on large-scale cross-sectional data. Demand for cycling is broken down into two effects. First, a "selection" impact in the population that explains the likelihood of being a biker, i.e., participating in cycling activities second, if the respondent is a cyclist, there is a conditional need for cycling kilometres. A Gamma Hurdle model is used to estimate the joint probability model. Three empirical findings stand out from the study's many others. First off, the timeframe shows a fall in total cycling demand in Denmark. It is also demonstrated that this is mostly a selection impact.

Keywords

Cycling; Pseudo-panel analysis; Hurdle and selection models; Dynamic transport preferences; Transport geography; Econometrics

Published Date: 2023-02-28; Received Date: 2023-02-02