Handbook of Computational Economics

Index

A

Accuracy checks

aggregate uncertainty, 306

evaluation, 452

examples, 309

explicit solution, 452

implicit solution, 452

measurement techniques, 451

methods, 307

non-linear economic models, 528

powerful test, 310

R² tests, 308

simple Markov equilibria models, 547–548

Active learning

algorithms and codes, 14

economic models, 2

Monte Carlo runs, 8

other applications, 30

parameter variances, 7

and passive learning, 7

showcase, 16

stochastic control, 6

Aggregate uncertainty

accuracy checks, 306

approximation property, 278

computational algorithms, 278

heterogeneous agents, 282

individual agents, 280

simulation procedures, 278

Algorithms, aggregate uncertainty

accuracy checks, compared, 313

explicit distribution, 286

histogram distribution, ...