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The projection approach for unbalanced panel data

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  • Jason Abrevaya

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  • Jason Abrevaya, 2013. "The projection approach for unbalanced panel data," Econometrics Journal, Royal Economic Society, vol. 16(2), pages 161-178, June.
    • Handle: RePEc:wly:emjrnl:v:16:y:2013:i:2:p:161-178
    DOI: j.1368-423X.2012.00389.x
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    File URL: http://hdl.handle.net/10.1111/j.1368-423X.2012.00389.x
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    Cited by:

    1. Artūras Juodis & Vasilis Sarafidis, 2018. "Fixed T dynamic panel data estimators with multifactor errors," Econometric Reviews, Taylor & Francis Journals, vol. 37(8), pages 893-929, September.
    2. Abrevaya, Jason, 2019. "Missing dependent variables in fixed-effects models," Journal of Econometrics, Elsevier, vol. 211(1), pages 151-165.
    3. Pourya Valizadeh & Shu Wen Ng, 2021. "Would A National Sugar‐Sweetened Beverage Tax in the United States Be Well Targeted?," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(3), pages 961-986, May.
    4. Yimin Yang & Fei Jia & Haoran Li, 2023. "Estimation of Panel Data Models with Mixed Sampling Frequencies," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 85(3), pages 514-544, June.
    5. Do Won Kwak & Kam Ki Tang & Juyoung Cheong, 2017. "The projection approach for multi-way error components models with partially balanced panel data," Discussion Papers Series 583, School of Economics, University of Queensland, Australia.
    6. Kézdi, Gábor & Mátyás, László & Balázsi, László & Divényi, János Károly, 2014. "A közgazdasági adatforradalom és a panelökonometria [The revolution in economic data and panel econometrics]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(11), pages 1319-1340.
    7. David Pacini & Frank Windmeijer, 2015. "Moment Conditions for AR(1) Panel Data Models with Missing Outcomes," Bristol Economics Discussion Papers 15/660, School of Economics, University of Bristol, UK.

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