Exploiting Information from Singletons in Panel Data Analysis: A GMM Approach
Year of publication: |
2019
|
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Authors: | Bruno, Randolph Luca ; Magazzini, Laura ; Stampini, Marco |
Publisher: |
Bonn : Institute of Labor Economics (IZA) |
Subject: | efficient estimation | panel data | singletons | unobserved heterogeneity | GMM |
Series: | IZA Discussion Papers ; 12465 |
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Type of publication: | Book / Working Paper |
Type of publication (narrower categories): | Working Paper |
Language: | English |
Other identifiers: | 1670164497 [GVK] hdl:10419/202811 [Handle] RePEc:iza:izadps:dp12465 [RePEc] |
Classification: | C23 - Models with Panel Data ; C33 - Models with Panel Data ; C51 - Model Construction and Estimation |
Source: |
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Exploiting information from singletons in panel data analysis : a GMM approach
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Exploiting information from singletons in panel data analysis : a GMM approach
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