Yiqun Gloria Chen

Personal Details

First Name:	Yiqun
Middle Name:	Gloria
Last Name:	Chen
Suffix:
RePEc Short-ID:	pch1850
	[This author has chosen not to make the email address public]
	https://sites.google.com/view/yiqun-gloria-chen/home

Affiliation

Congressional Budget Office
United States Congress
Government of the United States

Washington, District of Columbia (United States)
http://www.cbo.gov/
RePEc:edi:cbogvus (more details at EDIRC)

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

1. John Seliski & Aaron Betz & Yiqun Gloria Chen & U. Devrim Demirel, 2020. "Key Methods That CBO Used to Estimate the Effects of Pandemic-Related Legislation on Output: Working Paper 2020-07," Working Papers 56612, Congressional Budget Office.

   Cited by:

   1. David Hudgins & Patrick M. Crowley, 2023. "Resilient Control for Macroeconomic Models," Computational Economics, Springer;Society for Computational Economics, vol. 61(4), pages 1403-1431, April.

2. Yiqun Gloria Chen, 2019. "Inflation, Inflation Expectations, and the Phillips Curve: Working Paper 2019-07," Working Papers 55501, Congressional Budget Office.

   Cited by:

   1. Jeffrey Schafer, 2022. "Inflation Expectations and Their Formation: Working Paper 2022-03," Working Papers 57398, Congressional Budget Office.
   2. Richard Curtin, 2019. "Consumer expectations: a new paradigm," Business Economics, Palgrave Macmillan;National Association for Business Economics, vol. 54(4), pages 199-210, October.
   3. Andrew B. Martinez, 2020. "Extracting Information from Different Expectations," Working Papers 2020-008, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.

More information

Research fields, statistics, top rankings, if available.

Statistics

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NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 2 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.

1. NEP-MAC: Macroeconomics (2) 2019-08-12 2020-11-02. Author is listed
2. NEP-MON: Monetary Economics (1) 2019-08-12. Author is listed

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