Approximating the bias of the LSDV estimator for dynamic unbalanced panel data models

By G. Bruno. 2005

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View Paper: https://www.semanticscholar.org/paper/8db2a794cef4dcc168f016db242d2a4347b96432

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In Economics and Econometrics

Citations in the corpus

Is Demand-Pulled Innovation Equally Important in Different Groups of Firms? (2007, positive): “In their Monte Carlo simulations Bun e Kiviet (2003) and Bruno (2005a) consider three possible nested approximations of the LSDV bias which in turn are extended to the first, second and third terms of (4)(10). In this study we will correct for the most comprehensive and accurate one(11) (B3 in Bun a”
Determinants of Donor Generosity: A Survey of the Aid Budget Literature (2014, background): “…/ GDP General determinants Tingley (2010) 1971- 2002 Pooled OLS Fixed Effects 18 DAC donors Δ ODA commitments / GDP ODA commitments / GDP Government ideology Bilateral vs. multilateral aid Low income recipients vs. middle income recipients 28 Dynamic bias-corrected estimator (see Bruno 2005)”
Political Institutions and Financial Development: An Empirical Study (2010, methodology): “2 The bias-corrected Least Square Dummy Variable estimator proposed by Kiviet (1995) and recently developed by Bruno (2005) is the central method of this study and is compared with the system GMM estimator proposed by Arellano and Bover (1995) and Blundell and Bond (1998).”
The Impact of High and Growing Government Debt on Economic Growth: An Empirical Investigation for the Euro Area (2010, positive): “0 95% CI nlcom (53; 132) (36; 125) (42; 118) Note for tables 1-5 of Appendix 3: Abond denotes dynamic panel models estimated using the GMM Arellano-Bond estimator; xtlsdv denotes dynamic panel models estimated using the bias-corrected fixed-effects (least square dummy variable) as in Bruno (2005). A”
The effects of loan portfolio concentration on Brazilian banks return and risk (2011, positive): “One is the Least Squares Dummy Variable with Bias Correction for Dynamic Panel (LSDVC) by Bruno (2005), which has expanded the LSDV bias approximations in Bun and Kiviet (2003) to unbalanced panels.”
Response of residential electricity demand to price: The effect of measurement error (2011, background): “Bruno (2005) develops the LSDVC estimator for unbalanced panel. exogenous instruments to be used with the Arellano–Bond estimator does not materially reduce the performance of this technique.”
Sovereign bond yield spreads and sustainability: An empirical analysis of OECD countries (2019, methodology): “…only one provides the coefficient on the lagged dependent variable in the bounds of its OLS and FE counterparts, namely the LSDVC estimator of Bruno (2005).5 The endogeneity tests confirm the efficiency of this estimator, as all explanatory variables are exogenous, except for the lagged…”
Dynamic Capital Structure Adjustment and the Impact of Fractional Dependent Variables (2015, methodology): “For 30The xtlsdvc Stata command provided by Bruno (2005b) and used by Flannery and Hankins (2013) is designed for small panel data sets.”
The Rise of NEET and Youth Unemployment in EU Regions after the Crisis (2014, methodology): “Due to the reduced number of cross-sectional units in each macro-region, we carry out estimation through the LSDV estimator corrected for finite sample bias (LSDVC, see Kiviet 1995, Bruno 2005a and Bruno 2005b).”