Selected article for: "logistic regression and national sample"

Author: Djoumessi, Yannick Fosso
Title: The adverse impact of the Covid‐19 pandemic on the labor market in Cameroon
  • Cord-id: 99qw32rx
  • Document date: 2021_3_2
  • ID: 99qw32rx
    Snippet: This paper analyzes the impacts of the Covid‐19 pandemic on employment in Cameroon. Using data collected from a rapid survey led by the National Institute of Statistics, on a sample of 1,310 respondents from April to May 2020. These data show that a large proportion of workers suffered a wage cut (60.93%) and temporary job suspension (31.6%), and the smallest proportion suffered job loss (7.47%). The results of the logistic regression show that lower frequency of outgoings to work, difficultie
    Document: This paper analyzes the impacts of the Covid‐19 pandemic on employment in Cameroon. Using data collected from a rapid survey led by the National Institute of Statistics, on a sample of 1,310 respondents from April to May 2020. These data show that a large proportion of workers suffered a wage cut (60.93%) and temporary job suspension (31.6%), and the smallest proportion suffered job loss (7.47%). The results of the logistic regression show that lower frequency of outgoings to work, difficulties in accessing transport services and the loss of customer confidence have a strong negative impact on both wage cuts and temporary suspensions of work. The closure (total or partial) of activities has increasingly enhanced job loss. Further, the log of odds show that workers in private firms are more affected than their peers in public firms, and the middle‐aged are the most affected group. So, it is recommended to revamp the old methods of activity into digital innovation that enables less physical touch and find an appropriate way to support those who have lost their jobs during this Covid‐19 pandemic, particularly in the private sector.

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