[R] 2SLS for panel data, re

[Phdstudent2]

Hi Millo Giovanni,

Thanks for your response.  In regards to my STATA code it would be:

xi:xtiverg wecon polrightsreversed lnrgdpch execleft mulim2 c100rat 
c1100rat i.year
(trade fdistockgdp = lnpop lnarea devcountrycomlanguage bitcum), re.

Any suggestions will help so much......
Regards




On Thursday, November 14, 2013 8:12:33 AM UTC-8, Phdstudent2 wrote:
>
> Hi, 
>
> I am trying to estimate a 2sls using panel data (random effect model). I 
> tried the same estimation in STATA using the ivtreg2 command. However 
> STATA 
> and R are giving me two different results. I figure there is something 
> with 
> my R code: 
>
> iv=plm(formula=wecon~fdistockgdp +trade + polrightsreversed +lnrgdpch + 
> execleft + muslim2+c100rat +c111rat +yeardum| polrightsreversed+lnrgdpch+ 
> execleft+muslim2+c100rat+c111rat+yeardum 
> +lnpop+lnarea+devcountrycomlanguage+bitcum, 
> data = women, index = c("country", "year"), random.method = c("swar"), 
> inst.method = c("bvk"), model="random") 
> summary(iv) 
>
> Coefficients : 
>                     Estimate Std. Error t-value  Pr(>|t|) 
> (Intercept)       -0.2258528  0.2951301 -0.7653 0.4441954 
> fdistockgdp       -0.0067207  0.0077315 -0.8693 0.3847993 
> trade              0.0068462  0.0023687  2.8903 0.0038863 ** 
> polrightsreversed  0.0092366  0.0106174  0.8699 0.3844229 
> lnrgdpch           0.1246679  0.0389043  3.2045 0.0013724 ** 
> execleft           0.1118046  0.0340817  3.2805 0.0010524 ** 
> muslim2           -0.0044742  0.0012433 -3.5986 0.0003270 *** 
> c100rat            0.0226208  0.0595134  0.3801 0.7039114 
> c111rat            0.0165951  0.0618339  0.2684 0.7884310 
> yeardum1982        0.1479947  0.0588824  2.5134 0.0120282 * 
> yeardum1983        0.1783255  0.0606153  2.9419 0.0032958 ** 
> yeardum1984        0.0344572  0.0597167  0.5770 0.5639907 
> yeardum1985        0.2206961  0.0610344  3.6159 0.0003060 *** 
> yeardum1986        0.2428015  0.0649779  3.7367 0.0001912 *** 
> yeardum1987        0.0489043  0.0615708  0.7943 0.4271186 
> yeardum1988        0.2243599  0.0605343  3.7063 0.0002155 *** 
> yeardum1989        0.2215060  0.0624042  3.5495 0.0003940 *** 
> yeardum1990        0.0688333  0.0607056  1.1339 0.2569648 
> yeardum1991        0.1370871  0.0638830  2.1459 0.0319892 * 
> yeardum1992        0.1851857  0.0630868  2.9354 0.0033655 ** 
> yeardum1993        0.0904620  0.0698526  1.2950 0.1954420 
> yeardum1994        0.1003735  0.0737431  1.3611 0.1736137 
> yeardum1995        0.1164818  0.0721240  1.6150 0.1064494 
> yeardum1996        0.0482520  0.0787232  0.6129 0.5399837 
> yeardum1997        0.1049161  0.0895001  1.1722 0.2412247 
> yeardum1998        0.2191887  0.1109757  1.9751 0.0483807 * 
> yeardum1999        0.1573342  0.1397150  1.1261 0.2602422 
> yeardum2000        0.1532796  0.1627206  0.9420 0.3463059 
> --- 
>  However STATA gives me 
> ------------------------------------------------------------ 
> ----------------------- 
>             wecon |      Coef.   Std. Err.      z    P>|z|     [95% Conf. 
> Interval] 
> ------------------+----------------------------------------- 
> ----------------------- 
>             trade |   .0093915   .0027483     3.42   0.001      .004005 
> .014778 
>       fdistockgdp |  -.0169171   .0092405    -1.83   0.067    -.0350281 
> .0011938 
> polrightsreversed |   .0165855   .0119176     1.39   0.164    -.0067726 
> .0399436 
>          lnrgdpch |   .1045675   .0431179     2.43   0.015     .0200579 
> .189077 
>          execleft |   .1373652   .0384442     3.57   0.000     .0620159 
> .2127145 
>           muslim2 |  -.0043645   .0013551    -3.22   0.001    -.0070205 
> -.0017085 
>           c100rat |   .0480539   .0657304     0.73   0.465    -.0807752 
> .1768831 
>           c111rat |   .0170048   .0676272     0.25   0.801    -.1155421 
> .1495516 
>
> Really would appreciate any help explaining why the results are so 
> different 
>
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>
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