COVID-19 Severity: A New Approach to Quantifying Global Cases and Deaths
Year of publication: |
2021
|
---|---|
Authors: | Millimet, Daniel L. ; Parmeter, Christopher F. |
Publisher: |
Bonn : Institute of Labor Economics (IZA) |
Subject: | COVID-19 | nonclassical measurement error | stochastic frontier analysis |
Series: | IZA Discussion Papers ; 14116 |
---|---|
Type of publication: | Book / Working Paper |
Type of publication (narrower categories): | Working Paper |
Language: | English |
Other identifiers: | 1748713299 [GVK] hdl:10419/232868 [Handle] RePEc:iza:izadps:dp14116 [RePEc] |
Classification: | c18 ; h12 ; I18 - Government Policy; Regulation; Public Health |
Source: |
-
COVID-19 severity: a new approach to quantifying global cases and deaths
Millimet, Daniel L., (2021)
-
COVID-19 Severity : A New Approach to Quantifying Global Cases and Deaths
Millimet, Daniel L., (2021)
-
Dul, Jan, (2020)
- More ...
-
Imposing Monotonicity Nonparametrically in First-Price Auctions
Henderson, Daniel J., (2008)
-
Imposing Monotonicity Nonparametrically in First-Price Auctions
Henderson, Daniel J., (2008)
-
Accounting for Skewed or One-Sided Measurement Error in the Dependent Variable
Millimet, Daniel L., (2019)
- More ...