The Identification of Time-Invariant Variables in Panel Data Model: Exploring the Role of Science in Firms’ Productivity
Year of publication: |
2022
|
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Authors: | Amoroso, Sara ; Bruno, Randolph Luca ; Magazzini, Laura |
Publisher: |
Bonn : Institute of Labor Economics (IZA) |
Subject: | panel data | time-invariant variables | science | productivity | R&D |
Series: | IZA Discussion Papers ; 15708 |
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Type of publication: | Book / Working Paper |
Type of publication (narrower categories): | Working Paper |
Language: | English |
Other identifiers: | 1823548040 [GVK] hdl:10419/267445 [Handle] RePEc:iza:izadps:dp15708 [RePEc] |
Classification: | C23 - Models with Panel Data ; O32 - Management of Technological Innovation and R&D ; L20 - Firm Objectives, Organization, and Behavior. General |
Source: |
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Amoroso, Sara, (2022)
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Amoroso, Sara, (2022)
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Persistence of cooperation on innovation: Econometric evidence from panel micro data
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