Labour Market Dynamics

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Mike Sheerin (Author)

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Click to Run Model

breed [candidates candidate]
breed [employers employer]

globals [
  hires
  total-match-quality
]

candidates-own [
  capability
  narrative
  evidence
  prestige
  employed?
  false-negative-counted?
]

employers-own [
  required-capability
  w-narrative
  w-evidence
  w-prestige
  threshold
]

to setup
  clear-all
  set hires 0
  set total-match-quality 0

  create-candidates num-candidates [
    setxy random-xcor random-ycor
    set shape "person"
    set size 1
    set color blue

    set capability random-float 1

    set evidence signal-from-capability capability evidence-fidelity
    set narrative signal-from-capability capability narrative-fidelity
    set prestige signal-from-capability capability prestige-fidelity

    set employed? false
    set false-negative-counted? false
  ]

  create-employers num-employers [
    setxy random-xcor random-ycor
    set shape "square"
    set size 1.4
    set color red

    set required-capability random-float 1
    set w-narrative narrative-weight-global
    set w-evidence evidence-weight-global
    set w-prestige prestige-weight-global
    set threshold hiring-threshold
  ]

  clear-all-plots
  reset-ticks
  refresh-my-plots
end 

to go
  ask candidates with [not employed?] [
    apply-to-job
  ]

  tick
  refresh-my-plots
end 

to apply-to-job
  let target-employer one-of employers

  let observed-score (
    ([w-narrative] of target-employer * narrative) +
    ([w-evidence] of target-employer * evidence) +
    ([w-prestige] of target-employer * prestige) +
    random-normal 0 (screening-noise * 0.2)
  )

  let true-fit (1 - abs (capability - [required-capability] of target-employer))

  if observed-score > [threshold] of target-employer [
    set employed? true
    set color green
    set hires hires + 1
    set total-match-quality total-match-quality + true-fit
  ]

  if (capability > high-capability-threshold) and
     (observed-score <= [threshold] of target-employer) and
     (not employed?) and
     (not false-negative-counted?) [
    set false-negative-counted? true
  ]
end 

to-report signal-from-capability [cap fidelity]
  let random-part random-float 1
  report (fidelity * cap) + ((1 - fidelity) * random-part)
end 

to-report employment-rate
  if count candidates = 0 [ report 0 ]
  report count candidates with [employed?] / count candidates
end 

to-report unemployment-rate
  if count candidates = 0 [ report 0 ]
  report count candidates with [not employed?] / count candidates
end 

to-report average-match-quality
  if hires = 0 [ report 0 ]
  report total-match-quality / hires
end 

to-report false-negatives
  report count candidates with [false-negative-counted?]
end 

to-report high-capability-candidates
  report count candidates with [capability > high-capability-threshold]
end 

to-report false-negative-rate
  let high-capability-total high-capability-candidates
  if high-capability-total = 0 [ report 0 ]
  report false-negatives / high-capability-total
end 

to refresh-my-plots
  set-current-plot "Employment"
  if not plot-pen-exists? "Employment rate" [
    create-temporary-plot-pen "Employment rate"
  ]
  if not plot-pen-exists? "Unemployment rate" [
    create-temporary-plot-pen "Unemployment rate"
  ]

  set-current-plot "Match quality"
  if not plot-pen-exists? "Average match quality" [
    create-temporary-plot-pen "Average match quality"
  ]

  set-current-plot "False negatives"
  if not plot-pen-exists? "False negative rate" [
    create-temporary-plot-pen "False negative rate"
  ]

  set-current-plot "Employment"
  set-current-plot-pen "Employment rate"
  plot employment-rate
  set-current-plot-pen "Unemployment rate"
  plot unemployment-rate

  set-current-plot "Match quality"
  set-current-plot-pen "Average match quality"
  plot average-match-quality

  set-current-plot "False negatives"
  set-current-plot-pen "False negative rate"
  plot false-negative-rate
end

There is only one version of this model, created 5 days ago by Mike Sheerin.

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