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LSDV |
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2005), Approximating the bias of the LSDV estimator for dynamic unbalanced panel data models. Beck and Katz (2004) have demonstrated in Monte Carlo simulations that LSDV with a lagged dependent variable performs as well or better than other potential estimators (when T > 20, as in our dataset) and can accommodate any potential bias (due to "correlation of the demeaned lagged dependent variable and the demeaned error term" [Beck and Katz 2004, 8]). In Table 5, there are two sections, one is the regression results of the LSDV model while the other is the regression results of Heckman's two-stage selection model. |
LSDV |
LSDIS LSDJ LSDL LSDLA LSDM LSDMC LSDMS LSDN LSDO LSDOS LSDOU LSDP LSDPC LSDPL LSDR LSDRC LSDS LSDS LSDS LSDS LSDSF LSDSIC LSDSMS LSDSP LSDT LSDU lsdU5 LSDV LSDVCLSDW LSDWP LSDX LSDXC LSDXS LSDXS-SIC LSDZ LSE LSE LSE LSE LSE/AO LSEA LSEAC LSEAD LSEAT LSEB LSEC LSED LSEDP LSEE LSEF LSEG LSEH LSEI LSEL | |||||
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