Dear all,

I am running some fixed effects regressions (time and country) on some components of TFP growth as a dependent variable and flows of capital as explanatory variables. Nevertheless, when I use "robust", I do not get the value of the F statistic (possibly asymptotic approximation is very bad). I try bootstrap (with 50 and 200 replications) instead and some of the regressions have error in convergence. Any suggestions of how can I deal with this issue? I was thinking about using a corrector for bias in standard errors but not sure which one to use.

dataex within_st FDIinflows

1.2406744 .3091
.51827085 .18721
.9344199 .23238
.6884124 .03692
-.3269794 .10761
-.29587814 .44733
1.2413814 .23356
-1.901791 .39215
2.1166937 .27869
-.21048243 .82921
-1.664762 .98874
-.12947136 .2608
-.08756964 .19645
-.1602622 .26928
-1.5800394 .962
.6605474 .50028
-.04057995 -.01611
-.739584 .83411
-1.4108106 1.23789
-.59055823 1.19855
1.3697548 1.18634
1.400099 1.78719
.9426924 1.08861
1.7177 1.3016
1.0565635 2.0055
1.21652 2.35519
.9368905 2.88483
.56778276 2.24926
-.8803604 7.80316
-.342806 3.38094
-.8450508 .74352
-1.5513927 1.94324
.8232322 1.17628
-.08024806 2.48554
1.1725358 2.62447
1.204339 2.36244
1.3327794 2.23401
1.1021992 2.65984
.10530852 1.19431
1.923195 2.65722
2.2076929 2.04466
-22.704525 1.95664
-.03581947 .17363
.014269535 1.26733
.019946747 .35402
.019068675 2.05838
.07527923 2.56782
.07890104 1.83914
.007916916 2.17758
-.013585932 2.30824
-.06038177 1.33183
-.14717153 1.33546
-.12410552 1.947
-.10810567 .78768
-.3656075 .17858
-.24806745 .1734
-.398055 .24247
-.28355023 .32663
-.01966108 .88331
.17912483 .69384
-.06421807 .76336
-.1361853 1.37645
.17189774 1.79104
-.036525913 2.16341
-.08598185 2.1553
-.05371258 2.17684
-.03862792 5.57397
.0042970316 5.80374
.13102004 10.77502
.02505162 12.07474
-.008410851 12.1965
.07110603 8.76896
-.2439194 8.66873
-.10868237 8.55824
.06157611 2.44236
-.1682546 .97411
.11968757 -2.49887
-.0028326744 2.45256
.06708477 2.79186
-.06649176 3.07403
.14191253 2.43961
-.0762303 3.27204
. 3.58442
. 1.11235
.20614225 1.14157
.2513205 .90847
-.09256345 1.64735
.2211325 1.31454
.24115236 1.11317
.5412695 1.089
-.3170089 1.22902
.4762069 1.29162
1.0150347 1.29385
1.5500896 .99945
-1.804864 1.11807
-.49521425 1.30461
-.6200413 .77826
.4505205 .85755
.2143306 .75664

Thank you so much!