pyblp.SimulationResults¶

class
pyblp.
SimulationResults
¶ Results of a solved simulation of synthetic BLP data.
The
SimulationResults.to_problem()
method can be used to convert the full set of simulated data and configured information into aProblem
.
simulation
¶ Simulation
that created these results. Type
Simulation

product_data
¶ Simulated
Simulation.product_data
that are updated with synthetic prices and shares. Type
recarray

delta
¶ Simulated mean utility, \(\delta\).
 Type
ndarray

computation_time
¶ Number of seconds it took to compute synthetic prices and shares.
 Type
float

fp_converged
¶ Flags for convergence of the iteration routine used to compute synthetic prices in each market. Flags are in the same order as
Simulation.unique_market_ids
. Type
ndarray

fp_iterations
¶ Number of major iterations completed by the iteration routine used to compute synthetic prices in each market. Counts are in the same order as
Simulation.unique_market_ids
. Type
ndarray

contraction_evaluations
¶ Number of times the contraction used to compute synthetic prices was evaluated in each market. Counts are in the same order as
Simulation.unique_market_ids
. Type
ndarray
Examples
Methods
to_problem
([product_formulations, …])Convert the solved simulation into a problem.
