I intend to measure the TFP of manufacturing firms for 23 states through Production Function Approach using Prodest code in Stata for the period 2015-2017. I am using OLS, Fixed Effects, Levinsohn and Petrin (2003), Wooldridge(2009) and Olley-Pakes approach with the attached Stata dataset for the TFP calculation. However, I got negative coefficients of logL and logK in case of Wooldridge(2009). These individual TFP Values as dependent variables are regressed with infrastructure stocks as an independent variable.
Can anyone confirm the correctness of the results? I have saved the estimated TFP regression results in the log file.
Can anyone confirm the correctness of the results? I have saved the estimated TFP regression results in the log file.
Famid | year | lnGVA | lnK | lnL | lnInput |
1 | 2015 | 13.34451139 | 14.43711069 | 13.82499642 | 14.94789177 |
2 | 2015 | 10.90103056 | 11.39432509 | 12.00363817 | 12.56028455 |
3 | 2015 | 10.52884158 | 10.90823019 | 11.74051512 | 12.56156862 |
4 | 2015 | 11.71408167 | 12.96707595 | 11.86919333 | 13.19120632 |
5 | 2015 | 10.78025708 | 10.57660072 | 11.29931136 | 12.61370021 |
6 | 2015 | 11.30195799 | 10.79404052 | 10.71557266 | 12.07061138 |
7 | 2015 | 13.89161883 | 14.69274188 | 13.91372923 | 15.59004602 |
8 | 2015 | 12.68505841 | 13.08795162 | 13.27239071 | 14.34357928 |
9 | 2015 | 12.17481436 | 12.49800879 | 11.90358822 | 13.0876142 |
10 | 2015 | 10.37213186 | 10.36546633 | 10.85971028 | 11.51539809 |
11 | 2015 | 11.89178185 | 12.93752458 | 11.87475212 | 13.15976277 |
12 | 2015 | 12.88529455 | 13.74124074 | 13.52565546 | 14.57748312 |
13 | 2015 | 11.26551282 | 11.99049128 | 12.59243988 | 13.35132999 |
14 | 2015 | 11.91772596 | 13.18896836 | 12.4565356 | 13.65617625 |
15 | 2015 | 14.08798489 | 14.43171365 | 14.08198176 | 15.39174269 |
16 | 2015 | 11.84720763 | 14.04701543 | 12.27763023 | 13.27226267 |
17 | 2015 | 11.84987474 | 12.32818954 | 13.05611887 | 13.71366131 |
18 | 2015 | 12.2899301 | 12.94906791 | 12.83675914 | 13.8142172 |
19 | 2015 | 13.31159488 | 14.0107976 | 14.37021545 | 14.99198913 |
20 | 2015 | 7.930242796 | 7.485056583 | 10.17564981 | 8.622648785 |
21 | 2015 | 12.58255248 | 13.30226199 | 13.42014082 | 14.52482222 |
22 | 2015 | 12.45019737 | 12.54385883 | 12.59546596 | 13.57663852 |
23 | 2015 | 11.82869258 | 13.06866314 | 13.13062515 | 14.08698579 |
1 | 2016 | 13.48373632 | 14.55212104 | 13.81087483 | 14.87352281 |
2 | 2016 | 11.09011635 | 12.09660422 | 12.06294103 | 12.5021024 |
3 | 2016 | 10.43491923 | 10.92367085 | 11.54507315 | 12.3586785 |
4 | 2016 | 11.26804467 | 13.0838402 | 11.83438558 | 13.05207522 |
5 | 2016 | 10.7530443 | 10.4765827 | 11.23227197 | 12.73695465 |
6 | 2016 | 11.41296781 | 10.8661762 | 10.80685514 | 12.14263568 |
7 | 2016 | 13.9810047 | 14.90279048 | 13.99064468 | 15.47850878 |
8 | 2016 | 12.75290698 | 13.25330751 | 13.23466654 | 14.43921191 |
9 | 2016 | 12.17262238 | 12.62311498 | 11.81393335 | 12.95478697 |
10 | 2016 | 10.49895051 | 10.55531489 | 10.86526777 | 11.58579992 |
11 | 2016 | 11.52578885 | 12.93922703 | 11.86191193 | 13.20034564 |
12 | 2016 | 12.99481134 | 13.78688988 | 13.55250289 | 14.51278126 |
13 | 2016 | 11.53622211 | 12.27852734 | 12.51736626 | 13.27750928 |
14 | 2016 | 12.20480924 | 13.55141515 | 12.49875718 | 13.69012924 |
15 | 2016 | 14.14469829 | 14.47629798 | 14.13122964 | 15.45322844 |
16 | 2016 | 11.80136403 | 14.22621284 | 12.25082132 | 13.35906515 |
17 | 2016 | 11.91459215 | 12.41077943 | 13.10543896 | 13.69703396 |
18 | 2016 | 12.39233098 | 13.06787942 | 12.88085472 | 13.9162249 |
19 | 2016 | 13.50721806 | 14.10146753 | 14.47325385 | 14.97086086 |
20 | 2016 | 7.590132471 | 7.815032882 | 10.07225939 | 8.626449627 |
21 | 2016 | 12.79879814 | 13.47297179 | 13.50166245 | 14.52501448 |
22 | 2016 | 12.73090918 | 12.64631381 | 12.64053977 | 13.87087559 |
23 | 2016 | 12.05060545 | 13.1477183 | 13.11664506 | 14.11136877 |
1 | 2017 | 13.37820655 | 14.57031481 | 13.87654921 | 14.99791944 |
2 | 2017 | 11.31482949 | 11.94872061 | 12.1067936 | 12.48835749 |
3 | 2017 | 10.48552974 | 11.50844226 | 11.50258216 | 12.33606399 |
4 | 2017 | 11.45326146 | 13.4451234 | 11.89512877 | 13.13305958 |
5 | 2017 | 10.53909949 | 10.41244812 | 11.2286642 | 12.71520385 |
6 | 2017 | 11.32904661 | 10.91523748 | 10.70495088 | 11.98065828 |
7 | 2017 | 13.91086343 | 15.06872287 | 14.03587425 | 15.54622029 |
8 | 2017 | 12.98490547 | 13.39216318 | 13.3848061 | 14.65935721 |
9 | 2017 | 12.08523011 | 12.39343758 | 11.86197541 | 12.95263912 |
10 | 2017 | 10.6732993 | 10.92220152 | 10.98576719 | 11.73012375 |
11 | 2017 | 11.90939933 | 13.25324863 | 11.88186489 | 13.18303098 |
12 | 2017 | 13.19309476 | 13.82810032 | 13.62542212 | 14.61800501 |
13 | 2017 | 11.72306923 | 12.43306157 | 12.42895616 | 13.41005668 |
14 | 2017 | 12.21973581 | 13.62180352 | 12.54387614 | 13.72163599 |
15 | 2017 | 14.10537468 | 14.43870418 | 14.12643932 | 15.34049703 |
16 | 2017 | 12.04438547 | 14.43877548 | 12.31398041 | 13.40533761 |
17 | 2017 | 11.98871848 | 12.33912744 | 13.18484604 | 13.69294326 |
18 | 2017 | 12.53221462 | 13.23962174 | 12.93065551 | 14.01079714 |
19 | 2017 | 13.5782688 | 14.25990109 | 14.51053547 | 15.04941816 |
20 | 2017 | 7.673050689 | 7.846913183 | 10.08397409 | 8.60560012 |
21 | 2017 | 13.23123952 | 13.50385468 | 13.57157867 | 14.59337051 |
22 | 2017 | 12.61675213 | 12.68825504 | 12.74948936 | 13.66224058 |
23 | 2017 | 12.22915794 | 13.35048112 | 13.11830917 | 14.14173054 |