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SAMDAILY.US - ISSUE OF JUNE 19, 2020 SAM #6777
SOLICITATION NOTICE

R -- Python Economic Modeling

Notice Date
6/17/2020 9:42:10 AM
 
Notice Type
Combined Synopsis/Solicitation
 
NAICS
541511 — Custom Computer Programming Services
 
Contracting Office
US INTERNATIONAL TRADE COMMISSION WASHINGTON DC 20436 USA
 
ZIP Code
20436
 
Solicitation Number
34300020Q0015
 
Response Due
7/6/2020 8:00:00 AM
 
Archive Date
07/21/2020
 
Point of Contact
Ian Quillman, Phone: 2026311234
 
E-Mail Address
ian.quillman@usitc.gov
(ian.quillman@usitc.gov)
 
Description
The purpose of this Request for Quotation (RFQ) is to develop an Efficient Estimation Procedure for Models with High Dimensional Fixed Effects in Python (HDFE) for the United States International Trade Commission (USITC or Commission). The trade data used by international trade models has many dimensions: exporting country, importing country, year, and industry. Newly available datasets, such as the International Trade and Production Dataset (ITPD) have data for many countries, industries, and, importantly, years. Estimating economic models with high-dimensional data requires high-dimensional fixed effects in the estimating equation to properly account for various country linkages and country characteristics. Many models developed at the Commission, including the models of trade policy uncertainty and the gravity model, use high-dimensional data and require HDFE. However, model estimation with HDFE using traditional statistical techniques is either infeasible or has very long solution times. This leads to reduced complexity of the models used at the Commission. Recently developed statistical methods make HDFE estimation feasible even with large datasets.
 
Web Link
SAM.gov Permalink
(https://beta.sam.gov/opp/37326e69fec44aa3a32ddc398b26e5e8/view)
 
Record
SN05694016-F 20200619/200617230155 (samdaily.us)
 
Source
SAM.gov Link to This Notice
(may not be valid after Archive Date)

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