Difference between revisions of "MatchingLBO.do"
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This do file aims to match companies with the closest propensity score based on industry, year, and number of patents from STATApredictLBO.dta. | This do file aims to match companies with the closest propensity score based on industry, year, and number of patents from STATApredictLBO.dta. | ||
| − | == | + | ==Attempt 1== |
| − | use STATApredictLBO.dta, clear | + | use STATApredictLBO.dta, clear <br> |
| − | + | rename nopatents case_nopatents <br> | |
| − | + | rename logitpw case_logitpw <br> | |
| − | rename nopatents case_nopatents | + | rename gvkey case_gvkey <br> |
| − | rename logitpw case_logitpw | ||
| − | rename gvkey case_gvkey | ||
| − | /*industry, year, and no. of patents*/ | + | /*industry, year, and no. of patents*/ <br> |
| − | joinby industrygroup3 year using STATApredictLBO.dta | + | joinby industrygroup3 year using STATApredictLBO.dta <br> |
| − | gen a = nopatents*0.95 | + | gen a = nopatents*0.95 <br> |
| − | gen b = nopatents*1.05 | + | gen b = nopatents*1.05 <br> |
| − | gen delta=abs(logitpw-case_logitpw) | + | gen delta=abs(logitpw-case_logitpw) <br> |
| − | drop if case_nopatents > b | case_nopatents < a | + | drop if case_nopatents > b | case_nopatents < a <br> |
| − | // GENERATE SOME RANDOM NUMBERS TO RANDOMLY BREAK ANY TIES | + | // GENERATE SOME RANDOM NUMBERS TO RANDOMLY BREAK ANY TIES <br> |
| − | // ON CLOSENESS OF MATCH OF MARKET VALUE | + | // ON CLOSENESS OF MATCH OF MARKET VALUE <br> |
| − | set seed | + | set seed 0.5 <br> |
| − | gen double shuffle1 = runiform() | + | gen double shuffle1 = runiform() <br> |
| − | gen double shuffle2 = runiform() | + | gen double shuffle2 = runiform() <br> |
| − | by case_gvkey (delta shuffle1 shuffle2), sort: keep if _n == 1 | + | by case_gvkey (delta shuffle1 shuffle2), sort: keep if _n == 1 <br> |
| − | drop delta shuffle1 shuffle2 | + | drop delta shuffle1 shuffle2 <br> |
| − | + | Error op. sys. refuses to provide memory | |
| + | |||
| + | ==Attempt 2== | ||
| + | foreach x of varlish matchfilter{ | ||
| + | if x==1{ | ||
| + | foreach matchfilter[_n]==0{ | ||
| + | if year[_n]==year[_x] & industrygroup3[_n]==industrygroup3[_x]{ | ||
| + | if nopatents[_n]/nopatents[_x]<1.1 | nopatents[_n]/nopatents[_x]>1/1.1{ | ||
| + | gen delta=abs(logitpw[_n]-logitpw[_x] | ||
| + | m=gvkey[_min(delta)]} | ||
| + | } | ||
| + | } | ||
| + | } | ||
| + | |||
| + | Error invalid syntax | ||
| + | Possible reasons: 1. use of _n and x 2. if loop | ||
Latest revision as of 17:45, 25 October 2016
This do file aims to match companies with the closest propensity score based on industry, year, and number of patents from STATApredictLBO.dta.
Attempt 1
use STATApredictLBO.dta, clear
rename nopatents case_nopatents
rename logitpw case_logitpw
rename gvkey case_gvkey
/*industry, year, and no. of patents*/
joinby industrygroup3 year using STATApredictLBO.dta
gen a = nopatents*0.95
gen b = nopatents*1.05
gen delta=abs(logitpw-case_logitpw)
drop if case_nopatents > b | case_nopatents < a
// GENERATE SOME RANDOM NUMBERS TO RANDOMLY BREAK ANY TIES
// ON CLOSENESS OF MATCH OF MARKET VALUE
set seed 0.5
gen double shuffle1 = runiform()
gen double shuffle2 = runiform()
by case_gvkey (delta shuffle1 shuffle2), sort: keep if _n == 1
drop delta shuffle1 shuffle2
Error op. sys. refuses to provide memory
Attempt 2
foreach x of varlish matchfilter{
if x==1{
foreach matchfilter[_n]==0{
if year[_n]==year[_x] & industrygroup3[_n]==industrygroup3[_x]{
if nopatents[_n]/nopatents[_x]<1.1 | nopatents[_n]/nopatents[_x]>1/1.1{
gen delta=abs(logitpw[_n]-logitpw[_x]
m=gvkey[_min(delta)]}
}
}
}
Error invalid syntax
Possible reasons: 1. use of _n and x 2. if loop
