FirmsDecideVacancies#
- class bamengine.events.planning.FirmsDecideVacancies[source]#
Bases:
EventCalculate number of job vacancies to post.
Firms compare their desired labor force to their current labor force and post vacancies for the difference (if positive).
Algorithm
For each firm i:
\[V_i = \max(L^d_i - L_i, 0)\]where:
\(V\): number of vacancies to post
\(L^d\): desired labor (from FirmsDecideDesiredLabor)
\(L\): current labor force
Examples
>>> import bamengine as be >>> sim = be.Simulation.init(n_firms=100, seed=42) >>> event = sim.get_event("firms_decide_vacancies") >>> event.execute(sim) >>> (sim.emp.n_vacancies >= 0).all() True >>> ( ... sim.emp.n_vacancies == sim.emp.desired_labor - sim.emp.current_labor ... ).all() True
See also
FirmsDecideDesiredLaborCalculate labor requirements
bamengine.events._internal.planning.firms_decide_vacanciesImplementation
- execute(sim)[source]#
Execute the event’s logic.
Mutates simulation state in-place. This method must be implemented by all Event subclasses.
- Parameters:
sim (
Simulation) – The simulation instance containing all state and configuration.- Returns:
All mutations are in-place.
- Return type:
Examples
Implement execute in a custom event:
>>> from bamengine import event, ops >>> >>> @event ... class CustomPricingEvent: ... def execute(self, sim): ... prod = sim.get_role("Producer") ... # Apply 10% markup to all prices ... new_prices = ops.multiply(prod.price, 1.1) ... ops.assign(prod.price, new_prices)
Access configuration and RNG:
>>> @event ... class StochasticEvent: ... def execute(self, sim): ... shock = sim.config.h_rho ... random_values = sim.rng.uniform(0, shock, size=sim.n_firms) ... # Use random_values in calculations
Notes
The execute method receives full Simulation access, including: - All roles: sim.get_role(“RoleName”) or sim.prod, sim.wrk, etc. - Configuration: sim.config - RNG: sim.rng - Economy state: sim.ec
- __init__()#
- name = 'firms_decide_vacancies'#