TY  - RPRT
        AU  - Bruno, Randolph Luca
AU  - Magazzini, Laura
AU  - Stampini, Marco
        TI  - Exploiting Information from Singletons in Panel Data Analysis: A GMM Approach
        PY  - 2019/Jul/
        PB  - Institute of Labor Economics (IZA)
        CY  - Bonn
        T2  - IZA Discussion Paper
        IS  - 12465
        UR  - https://www.iza.org/publications/dp12465
        AB  - We propose a novel procedure, built within a Generalized Method of Moments framework, which exploits unpaired observations (singletons) to increase the efficiency of longitudinal fixed effect estimates. The approach allows increasing estimation efficiency, while properly tackling the bias due to unobserved time-invariant characteristics. We assess its properties by means of Monte Carlo simulations, and apply it to a traditional Total Factor Productivity regression, showing efficiency gains of approximately 8-9 percent. 
        KW  - unobserved heterogeneity
KW  - singletons
KW  - panel data
KW  - efficient estimation
KW  - GMM
        ER  -