Table 1 Summary of agent-based model parameters.

From: Emergent poverty traps at multiple levels impede social mobility

Parameter

Description

Value(s)

N

Number of agents

1225

K

Number of model steps

100

λ

Poisson parameter for generating update times

10

μ

Average of initial wealth distribution

10

σ

Standard deviation of initial wealth distribution

1

M

Initial number of project returns

2000

Llower

Lower uniform bound for project loss

0.90

Lupper

Upper uniform bound for project loss

0.95

Glower

Lower uniform bound for project gain

1.60

Gupper

Upper uniform bound for project gain

[1.70, 8.00]

Gsafe

Safe asset gain

1.10

Parameter for generating project loss probabilities

[0.30, 0.45]

θ

Minimum required project investment

[0.05, 0.95]

β

Saving propensity

[0.70, 0.80]

α

Homophily parameter

[2.00, 12.00]

b

Characteristic distance

See “Agent social network”

\({\gamma }_{+}^{{\rm{lower}}}\)

Lower uniform bound for γ+ (risk attitude for gains)

5

\({\gamma }_{+}^{{\rm{upper}}}\)

Upper uniform bound for γ+ (risk attitude for gains)

30

\({\gamma }_{-}^{{\rm{lower}}}\)

Lower uniform bound for γ (risk attitude for losses)

31

\({\gamma }_{-}^{{\rm{upper}}}\)

Upper uniform bound for γ (risk attitude for losses)

70

\({\delta }_{+}^{{\rm{lower}}}\)

Lower uniform bound for δ+ (weighting parameter for gains)

0.50

\({\delta }_{+}^{{\rm{upper}}}\)

Upper uniform bound for δ+ (weighting parameter for gains)

0.70

\({\delta }_{-}^{{\rm{lower}}}\)

Lower uniform bound for δ (weighting parameter for losses)

0.71

\({\delta }_{-}^{{\rm{upper}}}\)

Upper uniform bound for δ (weighting parameter for losses)

0.90