Overqualification and youth self-employment in Russia
The increase of demand for education. Overqualification problem in Russia. Comprehensive monitoring of living conditions surveillance employees. The objective method of measuring overqualification. Underqualification among Russian self-employed youth.
| Рубрика | Менеджмент и трудовые отношения |
| Вид | дипломная работа |
| Язык | английский |
| Дата добавления | 18.07.2020 |
| Размер файла | 148,3 K |
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Appendix 1
Stata do-file codes
*Importing the dataset
use "D:\Рабочий стол\RP 2020\Working files\KOUZHI18.dta", clear
*Excluding economically inactive population
drop if ZAN == 2
label define ZAN 1 "занятые в экономике (работающие)" 3 "указавшие себя занятыми" 4 "находящиеся в отпуске по уходу за ребенком от 0 до 3 лет", replace
lab values ZAN ZAN
codebook ZAN
*Keeping only age group 20-34
keep if R_3_1 >= 9 & R_3_1 <= 11
label define R_3_1 9 "20 - 24" 10 "25 - 29" 11 "30 - 34", replace
lab values R_3_1 R_3_1
*Making a dummy variable out of categorical for Self-employment
recode NAIM (1=0)
recode NAIM (2=1)
label define NAIM 1 "работающие не по найму" 0 "работающие по найму", replace
lab values NAIM NAIM
*Setting the reference group - working as self-employed
fvset base 1 NAIM
*Dropping the values of individuals working in agriculture
drop if NAIM == 1 & I05_04 == 3
*Renaming the variable to more understandable names
rename H01_02 VOZ
rename H01_04 BRAK
rename R_1 MESTO
rename I07_01 OBRAZ
Appendix 1 (Continued)
rename I07_04 OBRAZ_LET
rename H00_02 REGION
*Combining values of `Marriage' into 2 groups of `Married' and `Not married'
replace BRAK = 1 if BRAK == 2
replace BRAK = 3 if BRAK == 5
replace BRAK = 3 if BRAK == 3
replace BRAK = 3 if BRAK == 4
replace BRAK = 3 if BRAK == 6
replace BRAK = 2 if BRAK == 3
label define BRAK 1 "Состоит в браке (зарег/незарег)" 2 "Не состоит в браке", replace
lab values BRAK BRAK
*Making a dummy variable on the presence of children under the age of 9
recode CH_0_8 (6=5)
recode CH_0_8 (5=4)
recode CH_0_8 (4=3)
recode CH_0_8 (3=2)
recode CH_0_8 (2=1)
lab define CH_0_8 1 "Да" 0 "Нет", replace
lab values CH_0_8 CH_0_8
*Dropping the response with `not sure' category
drop if OBRAZ_LET == -7
*Transforming the variable for Region into type float
destring REGION, replace float
*Making two categories of education - `Higher education' and `Other education'
recode OBRAZ (3=2)
recode OBRAZ (2=1)
recode OBRAZ (9=8)
recode OBRAZ (8=7)
recode OBRAZ (7=6)
Appendix 1 (Continued)
recode OBRAZ (6=5)
recode OBRAZ (5=4)
recode OBRAZ (4=2)
lab define OBRAZ 1 "Высшая квалификация" 2 "Средняя, основная квал.", replace
lab values OBRAZ OBRAZ
*Making two categories of qualification - `Higher qualification' and `Other qualification'
recode GR_ZAN (2=1)
recode GR_ZAN (8=7)
recode GR_ZAN (7=6)
recode GR_ZAN (6=5)
recode GR_ZAN (5=4)
recode GR_ZAN (4=3)
recode GR_ZAN (3=2)
lab define GR_ZAN 1 "Спец. высшей квалификации" 2 "Специалисты сред. остальные", replace
lab values GR_ZAN GR_ZAN
*Cross tabulating variables of Education and Qualification with two categories
egen OVERQ1 = group(OBRAZ GR_ZAN)
lab define OVERQ1 1 "MATCHED_HIGH" 2 "OVERQUALIFIED" 3 "UNDERQUALIFIED" 4 "MATCHED_MIDDLE", replace
lab values OVERQ1 OVERQ1
recode OVERQ1 (4=1)
lab define OVERQ1 1 "MATCHED" 2 "OVERQUALIFIED" 3 "UNDERQUALIFIED" , replace
lab values OVERQ1 OVERQ1
lab var OVERQ1 "Наличие чрезмерной квалификации (образование и группа занятости)"
drop if OVERQ1 == .
*Exporting Descriptive statistics for the whole sample
tab OVERQ1, gen(OVERQ1x)
tab POL, gen(POLx)
tab BRAK, gen(BRAKx)
tab MESTO, gen(MESTOx)
Appendix 1 (Continued)
tab CH_0_8, gen(CH_0_8x)
eststo: estpost ttest OVERQ1x* POLx* VOZ BRAKx* MESTOx* CH_0_8x* OBRAZ_LET, by(NAIM) unequal
esttab using sumstat1.rtf, replace cells((mu_1(fmt(3)) mu_2 se sig(star pvalue(p))))
*Exporting probit regression models and estimating ROC curves
asdoc probit NAIM i.OVERQ1 i.POL c.VOZ#c.VOZ i.BRAK c.OBRAZ_LET i.MESTO i.CH_0_8 i.REGION if VOZ <= 29 & VOZ >= 20, replace nest drop(i.REGION) add(Dummy for Regions, YES)
lroc, nograph
asdoc probit NAIM i.OVERQ1 i.POL VOZ c.VOZ#c.VOZ i.BRAK c.OBRAZ_LET i.MESTO i.CH_0_8 i.REGION if VOZ <= 30 & VOZ >= 20, nest drop(i.REGION) add(Dummy for Regions, YES)
lroc, nograph
asdoc probit NAIM i.OVERQ1 i.POL VOZ c.VOZ#c.VOZ i.BRAK c.OBRAZ_LET i.MESTO i.CH_0_8 i.REGION if VOZ <= 34 & VOZ >= 24, nest drop(i.REGION) add(Dummy for Regions, YES)
lroc, nograph
asdoc probit NAIM i.OVERQ1 i.POL VOZ c.VOZ#c.VOZ i.BRAK c.OBRAZ_LET i.MESTO i.CH_0_8 i.REGION if VOZ <= 29 & VOZ >= 20 & REGION != 77 & REGION != 78 & REGION != 50, nest drop(i.REGION) add(Dummy for Regions, YES)
lroc, nograph
asdoc probit NAIM i.OVERQ1 i.POL VOZ c.VOZ#c.VOZ i.BRAK c.OBRAZ_LET i.MESTO i.CH_0_8 i.REGION if VOZ <= 30 & VOZ >= 20 & REGION != 77 & REGION != 78 & REGION != 50, nest drop(i.REGION) add(Dummy for Regions, YES)
lroc, nograph
asdoc probit NAIM i.OVERQ1 i.POL VOZ c.VOZ#c.VOZ i.BRAK c.OBRAZ_LET i.MESTO i.CH_0_8 i.REGION if VOZ <= 34 & VOZ >= 24 & REGION != 77 & REGION != 78 & REGION != 50, nest drop(i.REGION) add(Dummy for Regions, YES)
lroc, nograph
*Exporting marginal effects
gen VOZ2 = VOZ^2
probit NAIM i.OVERQ1 i.POL VOZ VOZ2 i.BRAK c.OBRAZ_LET i.MESTO i.CH_0_8 i.REGION if VOZ <= 29 & VOZ >= 20, nolog
Appendix 1 (Continued)
quietly margins, dydx(*) post
estimates store marg1
quietly probit NAIM i.OVERQ1 i.POL VOZ VOZ2 i.BRAK c.OBRAZ_LET i.MESTO i.CH_0_8 i.REGION if VOZ <= 30 & VOZ >= 20, nolog
margins, dydx(*) post
estimates store marg2
quietly probit NAIM i.OVERQ1 i.POL VOZ VOZ2 i.BRAK c.OBRAZ_LET i.MESTO i.CH_0_8 i.REGION if VOZ <= 34 & VOZ >= 24, nolog
margins, dydx(*) post
estimates store marg3
quietly probit NAIM i.OVERQ1 i.POL VOZ VOZ2 i.BRAK c.OBRAZ_LET i.MESTO i.CH_0_8 i.REGION if VOZ <= 29 & VOZ >= 20 & REGION != 77 & REGION != 78 & REGION != 50, nolog
margins, dydx(*) post
estimates store marg4
quietly probit NAIM i.OVERQ1 i.POL VOZ VOZ2 i.BRAK c.OBRAZ_LET i.MESTO i.CH_0_8 i.REGION if VOZ <= 30 & VOZ >= 20 & REGION != 77 & REGION != 78 & REGION != 50, nolog
margins, dydx(*) post
estimates store marg5
quietly probit NAIM i.OVERQ1 i.POL VOZ VOZ2 i.BRAK c.OBRAZ_LET i.MESTO i.CH_0_8 i.REGION if VOZ <= 34 & VOZ >= 24 & REGION != 77 & REGION != 78 & REGION != 50, nolog
margins, dydx(*) post
estimates store marg6
esttab marg1 marg2 marg3 marg4 marg5 marg6 using "Marginal effects.rtf", replace
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