My current project aims to test whether gdp growth rate varies with different regimes of foreign direct investment. For this reason, I am running a simple threshold model.
$$
gdpgr = \alpha + \beta_1 (fdi < \gamma) + \beta_2 (fdi > \gamma) + \epsilon
$$
My choices to run the above model specifications are XTHREG, THRESHOLD, and Hansen's THRESHOLDREG, based on how my data is organized.
Now, my sample comprises of a list of 32 countries with different start years and different end years, and no gaps. see the description below.
Code:
. // describe the final data . xtset ccode year panel variable: ccode (unbalanced) time variable: year, 1996 to 2017 delta: 1 unit . tsset ccode year panel variable: ccode (unbalanced) time variable: year, 1996 to 2017 delta: 1 unit
Code:
. xtdescribe // list available time-series, by country ccode: 1, 2, ..., 52 n = 32 year: 1996, 1997, ..., 2017 T = 22 Delta(year) = 1 unit Span(year) = 22 periods (ccode*year uniquely identifies each observation) Distribution of T_i: min 5% 25% 50% 75% 95% max 10 15 19 21 22 22 22 Freq. Percent Cum. | Pattern ---------------------------+------------------------ 15 46.88 46.88 | 1111111111111111111111 6 18.75 65.63 | 111111111111111111111. 2 6.25 71.88 | .......111111111111111 2 6.25 78.13 | 11111111111111111111.. 1 3.13 81.25 | .......1111111111..... 1 3.13 84.38 | .....11111111111111111 1 3.13 87.50 | ....11111111111111111. 1 3.13 90.63 | ....111111111111111111 1 3.13 93.75 | 11111111111111111..... 2 6.25 100.00 | (other patterns) ---------------------------+------------------------ 32 100.00 | XXXXXXXXXXXXXXXXXXXXXX . . xtpatternvar, gen(pattern) // list available time-series, count . tab pattern pattern | Freq. Percent Cum. -----------------------+----------------------------------- .......1111111111..... | 10 1.56 1.56 .......111111111111111 | 30 4.67 6.23 .....11111111111111111 | 17 2.65 8.88 ....11111111111111111. | 17 2.65 11.53 ....111111111111111111 | 18 2.80 14.33 11111111111111111..... | 17 2.65 16.98 111111111111111111.... | 18 2.80 19.78 1111111111111111111... | 19 2.96 22.74 11111111111111111111.. | 40 6.23 28.97 111111111111111111111. | 126 19.63 48.60 1111111111111111111111 | 330 51.40 100.00 -----------------------+----------------------------------- Total | 642 100.00 .
However, I am NOT sure whether THRESHOLD regression specification would aid my purpose. When I give it a try, I get the following "gaps not allowed" error.
Code:
. // THRESHOLD regression . threshold pcig, threshvar(fdi2gdp) gaps not allowed r(198);
As a check, I ran the THRESHOLD specification for a subset of my sample that is PERFECTLY BALANCED. However, I land with the same error!
Code:
. // describe the final data . xtset ccode year panel variable: ccode (strongly balanced) time variable: year, 1996 to 2017 delta: 1 unit . tsset ccode year panel variable: ccode (strongly balanced) time variable: year, 1996 to 2017 delta: 1 unit . . xtdescribe // list available time-series, by country ccode: 1, 4, ..., 52 n = 15 year: 1996, 1997, ..., 2017 T = 22 Delta(year) = 1 unit Span(year) = 22 periods (ccode*year uniquely identifies each observation) Distribution of T_i: min 5% 25% 50% 75% 95% max 22 22 22 22 22 22 22 Freq. Percent Cum. | Pattern ---------------------------+------------------------ 15 100.00 100.00 | 1111111111111111111111 ---------------------------+------------------------ 15 100.00 | XXXXXXXXXXXXXXXXXXXXXX . . xtpatternvar, gen(pattern) // list available time-series, count . tab pattern pattern | Freq. Percent Cum. -----------------------+----------------------------------- 1111111111111111111111 | 330 100.00 100.00 -----------------------+----------------------------------- Total | 330 100.00 . . // THRESHOLD regression . threshold pcig, threshvar(fdi2gdp) gaps not allowed r(198);
P.S: The analysis runs flawlessly Hansen's THRESHOLDREG program specification. However, it does not support any post estimation options.
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