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Grant Award View - GA64645
Selection of mixed strength moment restrictions and optimal inference
GA ID:
GA64645
Agency:
Australian Research Council
Approval Date:
4-Dec-2019
Publish Date:
5-Dec-2019
Category:
Humanities, Arts and Social Sciences (HASS) Research
Grant Term:
1-Jan-2020 to 31-Dec-2024
Original: 1-Jan-2020 to 31-Dec-2022
Value (AUD):
$240,000.00
(GST inclusive where applicable)
Variations:
- GA64645-V4 - Variation to Grant (3-Apr-2024 )
- GA64645-V3 - Variation to Grant (4-Jul-2023 )
- GA64645-V2 - Variation to Grant (20-Oct-2021 )
- GA64645-V1 - Variation to Grant (2-Aug-2021 )
One-off/Ad hoc:
No
Aggregate Grant Award:
No
PBS Program Name:
ARC 19/20 Discovery
Grant Program:
Discovery Projects
Grant Activity:
Selection of mixed strength moment restrictions and optimal inference
Purpose:
This project aims to develop consistent model selection criteria even if the target model only provides a weak signal about the parameter of interest. This project expects to generate new knowledge on model selection using new and innovative techniques. Expected outcomes include the quantification of the maximum information on parameter from weak-signal models; new entropy-based model selection criteria; and a robust investigation of the still debated hypothesis in environmental economics that with open and liberalized trade, developing countries would become pollution havens for dirty industries of advanced countries. Success in this undertaking will dramatically enlarge the pool of applied work involving economic models with weak signals.
GO ID:
GO Title:
Discovery Projects for funding commencing in 2020
Internal Reference ID:
DP20 Round 1
Selection Process:
Targeted or Restricted Competitive
Confidentiality - Contract:
No
Confidentiality - Outputs:
No
Grant Recipient Details
Recipient Name:
The University of Adelaide
Recipient ABN:
61 249 878 937
Grant Recipient Location
Suburb:
ADELAIDE
Town/City:
ADELAIDE
Postcode:
5000
State/Territory:
SA
Country:
AUSTRALIA
Grant Delivery Location
State/Territory:
SA
Postcode:
5000
Country:
AUSTRALIA