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~isPartOf:"NBER working paper series"
~person:"Liu, Laura"
~subject:"China"
~subject:"Panel"
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China
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Liu, Laura
Whalley, John
11
Wei, Shang-Jin
6
Zha, Tao
6
Chen, Kaiji
5
Aizenman, Joshua
4
Imbens, Guido
4
Shapiro, Jesse M.
4
Athey, Susan
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Fajgelbaum, Pablo D.
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Fang, Hanming
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Fogel, Robert W.
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Li, Bingjing
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Li, Chunding
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Moon, Hyungsik Roger
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Morck, Randall
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Qian, Nancy
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Schorfheide, Frank
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Song, Zheng Michael
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Yeung, Bernard
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Yi, Junjian
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Zhang, Xiaobo
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Barro, Robert J.
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Bayati, Mohsen
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Bloom, David E.
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Brandt, Loren
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Caliendo, Lorenzo
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Chen, Yuyu
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Chinn, Menzie D.
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CAEPR WORKING PAPER 2020-003
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ECONIS (ZBW)
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Forecasting with a
Panel
Tobit Model
Liu, Laura
-
2019
We use a dynamic
panel
Tobit model with heteroskedasticity to generate point, set, and density forecasts for a large … and residential real estate loans, comparing various versions of the
panel
Tobit model …
Persistent link: https://www.econbiz.de/10012480513
Saved in:
2
Forecasting with Dynamic
Panel
Data Models
Liu, Laura
-
2018
panel
data. We construct point predictors using Tweedie's formula for the posterior mean of heterogeneous coefficients under … Carlo study. In an empirical application we use the predictor to forecast revenues for a large
panel
of bank holding …
Persistent link: https://www.econbiz.de/10012480753
Saved in:
3
Panel
Forecasts of Country-Level Covid-19 Infections
Liu, Laura
-
2020
We use dynamic
panel
data models to generate density forecasts for daily Covid-19 infections for a
panel
of countries … level. Weekly forecasts from our model are published at https://laurayuliu.com/covid19-
panel
-forecast …
Persistent link: https://www.econbiz.de/10012481831
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