Testing macro models by indirect inference: A survey for users

Arbeitspapier

With Monte Carlo experiments on models in widespread use we examine the performance of indirect inference (II) tests of DSGE models in small samples. We compare these tests with ones based on direct inference (using the Likelihood Ratio, LR). We find that both tests have power so that a substantially false model will tend to be rejected by both; but that the power of the II test is substantially greater, both because the LR is applied after reestimation of the model error processes and because the II test uses the false model.s own restricted distribution for the auxiliary model's coefficients. This greater power allows users to focus this test more narrowly on features of interest, trading off power against tractability.

Object Details

• Language: Englisch

References and Relationships

• Bibliographic citation: Series: Cardiff Economics Working Papers ; No. E2015/9

Classification and Topics

• Classification: Wirtschaft ; Hypothesis Testing: General ; Multiple or Simultaneous Equation Models: Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models ; Model Evaluation, Validation, and Selection
• Subject: Bootstrap ; DSGE ; New Keynesian ; New Classical ; indirect inference ; Wald statistic ; likelihood ratio

Contributors, Places and Time

• Event: Geistige Schöpfung
• (who): Le, Vo Phuong Mai ; Meenagh, David ; Minford, Patrick ; Wickens, Michael ; Xu, Yongdeng
• Event: Veröffentlichung
• (who): Cardiff University, Cardiff Business School
• (where): Cardiff
• (when): 2015

Further information

• Handle: http://hdl.handle.net/10419/146392
• Last update: 10.03.2025, 11:43 AM CET