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A
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B
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C
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D
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E
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F
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G
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H
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I
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J
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K
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L
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M
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N
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O
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P
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R
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S
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T
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U
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V
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W
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X
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Z
A
AbsorptionError (class in pyblp.exceptions)
agent_data (pyblp.Simulation attribute)
agent_formulation (pyblp.Problem attribute)
(pyblp.Simulation attribute)
agent_ids (pyblp.Agents attribute)
Agents (class in pyblp)
agents (pyblp.Problem attribute)
(pyblp.Simulation attribute)
availability (pyblp.Agents attribute)
B
beta (pyblp.OptimizationProgress attribute)
(pyblp.ProblemResults attribute)
(pyblp.Simulation attribute)
beta_bounds (pyblp.OptimizationProgress attribute)
(pyblp.ProblemResults attribute)
beta_labels (pyblp.OptimizationProgress attribute)
(pyblp.ProblemResults attribute)
beta_se (pyblp.ProblemResults attribute)
BLP_AGENTS_LOCATION (in module pyblp.data)
BLP_PRODUCTS_LOCATION (in module pyblp.data)
bootstrap() (pyblp.ProblemResults method)
bootstrapped_beta (pyblp.BootstrappedResults attribute)
bootstrapped_delta (pyblp.BootstrappedResults attribute)
bootstrapped_gamma (pyblp.BootstrappedResults attribute)
bootstrapped_pi (pyblp.BootstrappedResults attribute)
bootstrapped_prices (pyblp.BootstrappedResults attribute)
bootstrapped_rho (pyblp.BootstrappedResults attribute)
bootstrapped_shares (pyblp.BootstrappedResults attribute)
bootstrapped_sigma (pyblp.BootstrappedResults attribute)
BootstrappedResults (class in pyblp)
build_blp_instruments() (in module pyblp)
build_differentiation_instruments() (in module pyblp)
build_id_data() (in module pyblp)
build_integration() (in module pyblp)
build_matrix() (in module pyblp)
build_ownership() (in module pyblp)
C
clipped_costs (pyblp.OptimizationProgress attribute)
(pyblp.ProblemResults attribute)
clipped_shares (pyblp.OptimizationProgress attribute)
(pyblp.ProblemResults attribute)
ClippedSharesError (class in pyblp.exceptions)
clustering_ids (pyblp.Products attribute)
collinear_atol (in module pyblp.options)
collinear_rtol (in module pyblp.options)
computation_time (pyblp.BootstrappedResults attribute)
(pyblp.ImportanceSamplingResults attribute)
(pyblp.OptimalInstrumentResults attribute)
(pyblp.SimulationResults attribute)
compute_agent_scores() (pyblp.ProblemResults method)
compute_aggregate_elasticities() (pyblp.ProblemResults method)
compute_approximate_prices() (pyblp.ProblemResults method)
compute_consumer_surpluses() (pyblp.ProblemResults method)
compute_costs() (pyblp.ProblemResults method)
compute_delta() (pyblp.ProblemResults method)
compute_demand_hessians() (pyblp.ProblemResults method)
compute_demand_jacobians() (pyblp.ProblemResults method)
compute_diversion_ratios() (pyblp.ProblemResults method)
compute_elasticities() (pyblp.ProblemResults method)
compute_hhi() (pyblp.ProblemResults method)
compute_long_run_diversion_ratios() (pyblp.ProblemResults method)
compute_markups() (pyblp.ProblemResults method)
compute_micro_scores() (pyblp.ProblemResults method)
compute_micro_values() (pyblp.ProblemResults method)
compute_optimal_instruments() (pyblp.ProblemResults method)
compute_passthrough() (pyblp.ProblemResults method)
compute_prices() (pyblp.ProblemResults method)
compute_probabilities() (pyblp.ProblemResults method)
compute_profit_hessians() (pyblp.ProblemResults method)
compute_profits() (pyblp.ProblemResults method)
compute_shares() (pyblp.ProblemResults method)
contraction_evaluations (pyblp.BootstrappedResults attribute)
(pyblp.OptimalInstrumentResults attribute)
(pyblp.OptimizationProgress attribute)
(pyblp.ProblemResults attribute)
(pyblp.SimulationResults attribute)
converged (pyblp.ProblemResults attribute)
costs (pyblp.SimulationResults attribute)
costs_type (pyblp.Problem attribute)
(pyblp.Simulation attribute)
CostsNumericalError (class in pyblp.exceptions)
CostsReversionError (class in pyblp.exceptions)
cumulative_contraction_evaluations (pyblp.ProblemResults attribute)
cumulative_converged (pyblp.ProblemResults attribute)
cumulative_fp_converged (pyblp.ProblemResults attribute)
cumulative_fp_iterations (pyblp.ProblemResults attribute)
cumulative_objective_evaluations (pyblp.ProblemResults attribute)
cumulative_optimization_iterations (pyblp.ProblemResults attribute)
cumulative_optimization_time (pyblp.ProblemResults attribute)
cumulative_total_time (pyblp.ProblemResults attribute)
D
D (pyblp.Problem attribute)
(pyblp.Simulation attribute)
data_to_dict() (in module pyblp)
delta (pyblp.OptimizationProgress attribute)
(pyblp.ProblemResults attribute)
(pyblp.SimulationResults attribute)
DeltaConvergenceError (class in pyblp.exceptions)
DeltaNumericalError (class in pyblp.exceptions)
DeltaReversionError (class in pyblp.exceptions)
demand_ids (pyblp.Products attribute)
demand_instruments (pyblp.OptimalInstrumentResults attribute)
demand_shifter_formulation (pyblp.OptimalInstrumentResults attribute)
demographics (pyblp.Agents attribute)
detect_micro_collinearity (in module pyblp.options)
diagnostic_market_ids (pyblp.ImportanceSamplingResults attribute)
digits (in module pyblp.options)
draws (pyblp.BootstrappedResults attribute)
(pyblp.ImportanceSamplingResults attribute)
(pyblp.OptimalInstrumentResults attribute)
drop_product_fields (in module pyblp.options)
dtype (in module pyblp.options)
E
ED (pyblp.Problem attribute)
(pyblp.Simulation attribute)
effective_draws (pyblp.ImportanceSamplingResults attribute)
effective_draws_for_skewness (pyblp.ImportanceSamplingResults attribute)
effective_draws_for_variance (pyblp.ImportanceSamplingResults attribute)
epsilon_scale (pyblp.Problem attribute)
(pyblp.Simulation attribute)
EquilibriumPricesConvergenceError (class in pyblp.exceptions)
EquilibriumRealizationNumericalError (class in pyblp.exceptions)
ES (pyblp.Problem attribute)
(pyblp.Simulation attribute)
expected_omega_by_theta_jacobian (pyblp.OptimalInstrumentResults attribute)
expected_prices (pyblp.OptimalInstrumentResults attribute)
expected_shares (pyblp.OptimalInstrumentResults attribute)
expected_xi_by_theta_jacobian (pyblp.OptimalInstrumentResults attribute)
extract_diagonal_means() (pyblp.ProblemResults method)
extract_diagonals() (pyblp.ProblemResults method)
F
F (pyblp.Problem attribute)
(pyblp.Simulation attribute)
finite_differences_epsilon (in module pyblp.options)
firm_ids (pyblp.Products attribute)
FittedValuesInversionError (class in pyblp.exceptions)
flush_output (in module pyblp.options)
Formulation (class in pyblp)
fp_converged (pyblp.BootstrappedResults attribute)
(pyblp.OptimalInstrumentResults attribute)
(pyblp.OptimizationProgress attribute)
(pyblp.ProblemResults attribute)
(pyblp.SimulationResults attribute)
fp_iterations (pyblp.BootstrappedResults attribute)
(pyblp.OptimalInstrumentResults attribute)
(pyblp.OptimizationProgress attribute)
(pyblp.ProblemResults attribute)
(pyblp.SimulationResults attribute)
G
gamma (pyblp.OptimizationProgress attribute)
(pyblp.ProblemResults attribute)
(pyblp.Simulation attribute)
gamma_bounds (pyblp.OptimizationProgress attribute)
(pyblp.ProblemResults attribute)
gamma_labels (pyblp.OptimizationProgress attribute)
(pyblp.ProblemResults attribute)
gamma_se (pyblp.ProblemResults attribute)
GenericNumericalError (class in pyblp.exceptions)
GMMMomentCovariancesInversionError (class in pyblp.exceptions)
GMMParameterCovariancesInversionError (class in pyblp.exceptions)
gradient (pyblp.OptimizationProgress attribute)
(pyblp.ProblemResults attribute)
GradientReversionError (class in pyblp.exceptions)
H
H (pyblp.Problem attribute)
(pyblp.Simulation attribute)
hessian (pyblp.ProblemResults attribute)
HessianEigenvaluesError (class in pyblp.exceptions)
I
I (pyblp.Problem attribute)
(pyblp.Simulation attribute)
importance_sampling() (pyblp.ProblemResults method)
ImportanceSamplingProblem (class in pyblp)
ImportanceSamplingResults (class in pyblp)
Integration (class in pyblp)
integration (pyblp.Simulation attribute)
IntraFirmJacobianInversionError (class in pyblp.exceptions)
InvalidMomentCovariancesError (class in pyblp.exceptions)
InvalidParameterCovariancesError (class in pyblp.exceptions)
inverse_covariance_matrix (pyblp.OptimalInstrumentResults attribute)
Iteration (class in pyblp)
J
JacobianRealizationNumericalError (class in pyblp.exceptions)
K
K1 (pyblp.Problem attribute)
(pyblp.Simulation attribute)
K2 (pyblp.Problem attribute)
(pyblp.Simulation attribute)
K3 (pyblp.Problem attribute)
(pyblp.Simulation attribute)
L
last_results (pyblp.ProblemResults attribute)
LinearParameterCovariancesInversionError (class in pyblp.exceptions)
M
market_ids (pyblp.Agents attribute)
(pyblp.Products attribute)
MC (pyblp.Problem attribute)
(pyblp.Simulation attribute)
MD (pyblp.Problem attribute)
(pyblp.Simulation attribute)
micro (pyblp.OptimizationProgress attribute)
(pyblp.ProblemResults attribute)
micro_by_theta_jacobian (pyblp.OptimizationProgress attribute)
(pyblp.ProblemResults attribute)
micro_computation_chunks (in module pyblp.options)
micro_covariances (pyblp.ProblemResults attribute)
micro_values (pyblp.OptimizationProgress attribute)
(pyblp.ProblemResults attribute)
MicroDataset (class in pyblp)
MicroMoment (class in pyblp)
MicroMomentCovariancesNumericalError (class in pyblp.exceptions)
MicroMomentsByThetaJacobianNumericalError (class in pyblp.exceptions)
MicroMomentsByThetaJacobianReversionError (class in pyblp.exceptions)
MicroMomentsNumericalError (class in pyblp.exceptions)
MicroMomentsReversionError (class in pyblp.exceptions)
MicroPart (class in pyblp)
MicroScoresNumericalError (class in pyblp.exceptions)
moments (pyblp.ProblemResults attribute)
moments_covariances (pyblp.ProblemResults attribute)
moments_jacobian (pyblp.ProblemResults attribute)
MS (pyblp.Problem attribute)
(pyblp.Simulation attribute)
MultipleErrors (class in pyblp.exceptions)
N
N (pyblp.Problem attribute)
(pyblp.Simulation attribute)
nesting_ids (pyblp.Products attribute)
NEVO_AGENTS_LOCATION (in module pyblp.data)
NEVO_PRODUCTS_LOCATION (in module pyblp.data)
nodes (pyblp.Agents attribute)
NonpositiveCostsError (class in pyblp.exceptions)
NonpositiveSyntheticCostsError (class in pyblp.exceptions)
O
objective (pyblp.OptimizationProgress attribute)
(pyblp.ProblemResults attribute)
objective_evaluations (pyblp.ProblemResults attribute)
ObjectiveReversionError (class in pyblp.exceptions)
omega (pyblp.OptimizationProgress attribute)
(pyblp.ProblemResults attribute)
(pyblp.Simulation attribute)
omega_by_theta_jacobian (pyblp.OptimizationProgress attribute)
(pyblp.ProblemResults attribute)
omega_fe (pyblp.ProblemResults attribute)
OmegaByThetaJacobianNumericalError (class in pyblp.exceptions)
OmegaByThetaJacobianReversionError (class in pyblp.exceptions)
OptimalInstrumentProblem (class in pyblp)
OptimalInstrumentResults (class in pyblp)
Optimization (class in pyblp)
optimization_iterations (pyblp.ProblemResults attribute)
optimization_time (pyblp.ProblemResults attribute)
OptimizationProgress (class in pyblp)
ownership (pyblp.Products attribute)
P
parallel() (in module pyblp)
parameter_covariances (pyblp.ProblemResults attribute)
parameter_sensitivity (pyblp.ProblemResults attribute)
parameters (pyblp.ProblemResults attribute)
PassthroughInversionError (class in pyblp.exceptions)
PETRIN_AGENTS_LOCATION (in module pyblp.data)
PETRIN_COVARIANCES_LOCATION (in module pyblp.data)
PETRIN_PRODUCTS_LOCATION (in module pyblp.data)
PETRIN_VALUES_LOCATION (in module pyblp.data)
pi (pyblp.OptimizationProgress attribute)
(pyblp.ProblemResults attribute)
(pyblp.Simulation attribute)
pi_bounds (pyblp.OptimizationProgress attribute)
(pyblp.ProblemResults attribute)
pi_labels (pyblp.OptimizationProgress attribute)
(pyblp.ProblemResults attribute)
pi_se (pyblp.ProblemResults attribute)
PostEstimationNumericalError (class in pyblp.exceptions)
prices (pyblp.Products attribute)
Problem (class in pyblp)
problem (pyblp.OptimizationProgress attribute)
(pyblp.ProblemResults attribute)
problem_results (pyblp.BootstrappedResults attribute)
(pyblp.ImportanceSamplingResults attribute)
(pyblp.OptimalInstrumentResults attribute)
ProblemResults (class in pyblp)
product_data (pyblp.Simulation attribute)
(pyblp.SimulationResults attribute)
product_formulations (pyblp.Problem attribute)
(pyblp.Simulation attribute)
product_ids (pyblp.Products attribute)
Products (class in pyblp)
products (pyblp.Problem attribute)
(pyblp.Simulation attribute)
profit_gradient_norms (pyblp.SimulationResults attribute)
profit_gradients (pyblp.SimulationResults attribute)
profit_hessian_eigenvalues (pyblp.SimulationResults attribute)
profit_hessians (pyblp.SimulationResults attribute)
ProfitHessianEigenvaluesError (class in pyblp.exceptions)
projected_gradient (pyblp.OptimizationProgress attribute)
(pyblp.ProblemResults attribute)
projected_gradient_norm (pyblp.OptimizationProgress attribute)
(pyblp.ProblemResults attribute)
psd_atol (in module pyblp.options)
psd_rtol (in module pyblp.options)
pseudo_inverses (in module pyblp.options)
pyblp.data (module)
pyblp.options (module)
R
rc_types (pyblp.Problem attribute)
(pyblp.Simulation attribute)
read_pickle() (in module pyblp)
reduced_hessian (pyblp.ProblemResults attribute)
reduced_hessian_eigenvalues (pyblp.ProblemResults attribute)
replace_endogenous() (pyblp.Simulation method)
replace_exogenous() (pyblp.Simulation method)
rho (pyblp.OptimizationProgress attribute)
(pyblp.ProblemResults attribute)
(pyblp.Simulation attribute)
rho_bounds (pyblp.OptimizationProgress attribute)
(pyblp.ProblemResults attribute)
rho_labels (pyblp.OptimizationProgress attribute)
(pyblp.ProblemResults attribute)
rho_se (pyblp.ProblemResults attribute)
run_distance_test() (pyblp.ProblemResults method)
run_hansen_test() (pyblp.ProblemResults method)
run_lm_test() (pyblp.ProblemResults method)
run_wald_test() (pyblp.ProblemResults method)
S
sampled_agents (pyblp.ImportanceSamplingResults attribute)
save_pickle() (in module pyblp)
shares (pyblp.Products attribute)
SharesByXiJacobianInversionError (class in pyblp.exceptions)
sigma (pyblp.OptimizationProgress attribute)
(pyblp.ProblemResults attribute)
(pyblp.Simulation attribute)
sigma_bounds (pyblp.OptimizationProgress attribute)
(pyblp.ProblemResults attribute)
sigma_labels (pyblp.OptimizationProgress attribute)
(pyblp.ProblemResults attribute)
sigma_se (pyblp.ProblemResults attribute)
sigma_squared (pyblp.OptimizationProgress attribute)
(pyblp.ProblemResults attribute)
sigma_squared_se (pyblp.ProblemResults attribute)
simulate_micro_data() (pyblp.ProblemResults method)
Simulation (class in pyblp)
simulation (pyblp.SimulationResults attribute)
simulation_covariances (pyblp.ProblemResults attribute)
SimulationResults (class in pyblp)
singular_tol (in module pyblp.options)
solve() (pyblp.Problem method)
step (pyblp.ProblemResults attribute)
supply_ids (pyblp.Products attribute)
supply_instruments (pyblp.OptimalInstrumentResults attribute)
supply_shifter_formulation (pyblp.OptimalInstrumentResults attribute)
SyntheticCostsNumericalError (class in pyblp.exceptions)
SyntheticDeltaConvergenceError (class in pyblp.exceptions)
SyntheticDeltaNumericalError (class in pyblp.exceptions)
SyntheticMicroDataNumericalError (class in pyblp.exceptions)
SyntheticMicroMomentsNumericalError (class in pyblp.exceptions)
SyntheticPricesConvergenceError (class in pyblp.exceptions)
SyntheticPricesNumericalError (class in pyblp.exceptions)
SyntheticSharesNumericalError (class in pyblp.exceptions)
T
T (pyblp.Problem attribute)
(pyblp.Simulation attribute)
theta (pyblp.OptimizationProgress attribute)
(pyblp.ProblemResults attribute)
theta_labels (pyblp.OptimizationProgress attribute)
(pyblp.ProblemResults attribute)
ThetaConvergenceError (class in pyblp.exceptions)
tilde_costs (pyblp.OptimizationProgress attribute)
(pyblp.ProblemResults attribute)
to_dict() (pyblp.BootstrappedResults method)
(pyblp.ImportanceSamplingResults method)
(pyblp.OptimalInstrumentResults method)
(pyblp.ProblemResults method)
(pyblp.SimulationResults method)
to_pickle() (pyblp.BootstrappedResults method)
(pyblp.ImportanceSamplingResults method)
(pyblp.OptimalInstrumentResults method)
(pyblp.ProblemResults method)
(pyblp.SimulationResults method)
to_problem() (pyblp.ImportanceSamplingResults method)
(pyblp.OptimalInstrumentResults method)
(pyblp.SimulationResults method)
total_time (pyblp.ProblemResults attribute)
U
unique_agent_ids (pyblp.Problem attribute)
(pyblp.Simulation attribute)
unique_firm_ids (pyblp.Problem attribute)
(pyblp.Simulation attribute)
unique_market_ids (pyblp.Problem attribute)
(pyblp.Simulation attribute)
unique_nesting_ids (pyblp.Problem attribute)
(pyblp.Simulation attribute)
unique_product_ids (pyblp.Problem attribute)
(pyblp.Simulation attribute)
updated_W (pyblp.ProblemResults attribute)
V
verbose (in module pyblp.options)
verbose_output (in module pyblp.options)
verbose_tracebacks (in module pyblp.options)
W
W (pyblp.OptimizationProgress attribute)
(pyblp.ProblemResults attribute)
weight_sums (pyblp.ImportanceSamplingResults attribute)
weights (pyblp.Agents attribute)
weights_tol (in module pyblp.options)
X
X1 (pyblp.Products attribute)
X2 (pyblp.Products attribute)
X3 (pyblp.Products attribute)
xi (pyblp.OptimizationProgress attribute)
(pyblp.ProblemResults attribute)
(pyblp.Simulation attribute)
xi_by_theta_jacobian (pyblp.OptimizationProgress attribute)
(pyblp.ProblemResults attribute)
xi_fe (pyblp.ProblemResults attribute)
XiByThetaJacobianNumericalError (class in pyblp.exceptions)
XiByThetaJacobianReversionError (class in pyblp.exceptions)
Z
ZC (pyblp.Products attribute)
ZD (pyblp.Products attribute)
ZS (pyblp.Products attribute)
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