From bdb9f9acbfa47eb87b31eb255fd8679995bc0084 Mon Sep 17 00:00:00 2001 From: Busra bahadir Date: Fri, 15 Jan 2021 23:05:25 +0300 Subject: [PATCH 1/2] =?UTF-8?q?=C3=96dev=202=20=C4=B0lk=20Teslim?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Ödeve ait analiz ve tex dosyası ektedir. --- "2020-fall/analysis/H\304\260A.do" | 400 ++++++++++++++++ "2020-fall/report/\303\226dev 2 Son hali.tex" | 453 ++++++++++++++++++ 2 files changed, 853 insertions(+) create mode 100644 "2020-fall/analysis/H\304\260A.do" create mode 100644 "2020-fall/report/\303\226dev 2 Son hali.tex" diff --git "a/2020-fall/analysis/H\304\260A.do" "b/2020-fall/analysis/H\304\260A.do" new file mode 100644 index 0000000..9068915 --- /dev/null +++ "b/2020-fall/analysis/H\304\260A.do" @@ -0,0 +1,400 @@ +use "C:\Users\kenan\Desktop\ikt533-main\2020-fall\data\raw\hia\hia2010.dta" +rename S7 birthplace +rename S3 gender +rename S6 age +rename S6_GRUP agegrup +rename S8B resideyear +rename S9B reside +rename S13 educ +rename S24 marital +rename S69 earning +rename S97 job +rename S42 security +rename S45 timejob +rename S37A firmsize +rename S33KOD industry +rename NUTS2 region +rename DURUM status +rename KIRKENT rural +rename S39 workstatus +rename FAKTOR faktor +keep FORMNO birthplace age agegrup resideyear reside gender educ rural marital earning region job security status faktor timejob firmsize industry workstatus +gen year=2010 +save 2010_ready, replace +************************************************************* +use "C:\Users\kenan\Desktop\ikt533-main\2020-fall\data\raw\hia\hia2011.dta" +rename S7 birthplace +rename S3 gender +rename S6 age +rename S6_GRUP agegrup +rename S8B resideyear +rename S9B reside +rename S13 educ +rename S24 marital +rename S69 wage +rename S70 add +rename S71 prim +rename S97 job +rename S42 security +rename S45 timejob +rename S37A firmsize +rename S33KOD industry +rename NUTS2 region +rename DURUM status +rename KIRKENT rural +rename S39 workstatus +rename FAKTOR faktor +gen earning=(wage+prim) if add==1 +replace earning=wage if add==2 +keep FORMNO birthplace age agegrup resideyear reside gender educ rural marital earning region job security status faktor timejob firmsize industry workstatus +gen year=2011 +save 2011_ready, replace +********************* +use "C:\Users\kenan\Desktop\ikt533-main\2020-fall\data\raw\hia\hia2012.dta" +rename S7 birthplace +rename S3 gender +rename S6 age +rename S6_GRUP agegrup +rename S8B resideyear +rename S9B reside +rename S13 educ +rename S24 marital +rename S69 wage +rename S70 add +rename S71 prim +rename S97 job +rename S42 security +rename S45 timejob +rename S37A firmsize +rename S33KOD industry +rename NUTS2 region +rename DURUM status +rename KIRKENT rural +rename S39 workstatus +rename FAKTOR faktor +gen earning=(wage+prim) if add==1 +replace earning=wage if add==2 +keep FORMNO birthplace age agegrup resideyear reside gender educ rural marital earning region job security status faktor timejob firmsize industry workstatus +gen year=2012 +save 2012_ready, replace +************************************************** +use "C:\Users\kenan\Desktop\ikt533-main\2020-fall\data\raw\hia\hia2013.dta" +rename S7 birthplace +rename S3 gender +rename S6 age +rename S6_GRUP agegrup +rename S8B resideyear +rename S9B reside +rename S13 educ +rename S24 marital +rename S69 wage +rename S70 add +rename S71 prim +rename S97 job +rename S42 security +rename S45 timejob +rename S37A firmsize +rename S33KOD industry +rename NUTS2 region +rename DURUM status +rename KIRKENT rural +rename S39 workstatus +rename FAKTOR faktor +gen earning=(wage+prim) if add==1 +replace earning=wage if add==2 +keep FORMNO birthplace age agegrup resideyear reside gender educ rural marital earning region job security status faktor timejob firmsize industry workstatus +gen year=2013 +save 2013_ready, replace +******************************************************* +use 2010_ready, clear +append using 2011_ready +append using 2012_ready +append using 2013_ready +********************* +keep if region>=12 +drop if region==14 +drop if region==15 +drop if region==16 +drop if region==17 +drop if region==18 +drop if region==19 +drop if birthplace==2 & resideyear>2009 +drop if age<15 +drop if age>=65 +gen native=1 +egen native_no=count(native) if native==1 +bysort year: egen native_no_year=count(native) if native==1 +count + +************************* +gen time = (year>=2012) & !missing(year) +************************ +gen treated=0 +replace treated=1 if region==12 +replace treated=1 if region==13 +replace treated=1 if region==24 +replace treated=1 if region==25 +replace treated=1 if region==26 +************************************** +***********INTERACTION TERM********** +gen did = time*treated +******************************** +**************Covariates*************** +**************TABLO 3**************************** +gen men=0 +replace men=1 if gender==1 +********* +gen married=0 +replace married=1 if marital==2 +***************** +gen higheduc=0 +replace higheduc=1 if educ>=4 +************** +gen loweduc=0 +replace loweduc=1 if educ<4 +*********************** +gen urban=0 +replace urban=1 if rural==2 +**************TABLO 4************************** +**************E/P************** +gen employed=0 +replace employed=1 if status==1 +bysort year: egen employed_no_year=count(employed) if employed==1 +**************FE/P************* +gen formal=0 +replace formal=1 if security==1 +bysort year: egen formal_no=count(formal) if formal==1 +**************IE/P************* +gen informal=0 +replace informal=1 if security==2 +bysort year: egen informal_no=count(informal) if informal==1 +**************U/P********* +gen unemployed=0 +replace unemployed=1 if status==2 +bysort year: egen unemployed_no_year=count(unemployed) if unemployed==1 +************LFP*********************** +gen labforce=0 +replace labforce=1 if status==1 | status==2 +bysort year: egen labforce_no_year=count(labforce) if labforce==1 +*********************** +************Separation Probability************ +gen sep_payda=0 +replace sep_payda=1 if job==1 | job==2 +bysort year treated: egen sep_payda_no=count(sep_payda) if sep_payda==1 +gen sep_pay=0 +replace sep_pay=1 if job==1 & status==2 +replace sep_pay=1 if job==1 & status==3 +bysort year treated: egen sep_pay_no=count(sep_pay) if sep_pay==1 +gen sep_prob= (sep_pay/sep_payda) +*************Finding Probability*************** +gen find_payda=0 +replace find_payda=1 if job==4 +bysort year treated: egen find_payda_no=count(find_payda) if find_payda==1 +gen find_pay=0 +replace find_pay=1 if job==4 & status==1 +bysort year treated: egen find_pay_no=count(find_pay) if find_pay==1 +gen find_prob= (find_pay/find_payda) +***************************** +***********REAL WAGE************ +replace earning=. if earning==0 +gen deflator=. +replace deflator=100.00 if year==2010 +replace deflator=108.2 if year==2011 +replace deflator=116.2 if year==2012 +replace deflator=123.5 if year==2013 +gen earning_real=(earning*100)/deflator +gen log_realearning=ln(earning_real) + +******************************* +***********TRADE***************** +gen trade=. +replace trade=5844492110 if region==12 & year==2010 +replace trade=7307381877 if region==12 & year==2011 +replace trade=7401514210 if region==12 & year==2012 +replace trade=7116362611 if region==12 & year==2013 + +replace trade=6570045612 if region==13 & year==2010 +replace trade=9513853658 if region==13 & year==2011 +replace trade=9208529310 if region==13 & year==2012 +replace trade=8868398744 if region==13 & year==2013 + +replace trade=7179075613 if region==24 & year==2010 +replace trade=9706414143 if region==24 & year==2011 +replace trade=10802489693 if region==24 & year==2012 +replace trade=12315572549 if region==24 & year==2013 + +replace trade=625248290 if region==25 & year==2010 +replace trade=669753552 if region==25 & year==2011 +replace trade=580801904 if region==25 & year==2012 +replace trade=830684948 if region==25 & year==2013 + +replace trade=1393980760 if region==26 & year==2010 +replace trade=1991048522 if region==26 & year==2011 +replace trade=2297100454 if region==26 & year==2012 +replace trade=2536143886 if region==26 & year==2013 + +replace trade=79338628 if region==20 & year==2010 +replace trade=107593112 if region==20 & year==2011 +replace trade=140462590 if region==20 & year==2012 +replace trade=108985121 if region==20 & year==2013 + +replace trade=250070876 if region==21 & year==2010 +replace trade=260050452 if region==21 & year==2011 +replace trade=220254009 if region==21 & year==2012 +replace trade=302680535 if region==21 & year==2013 + +replace trade=486339827 if region==22 & year==2010 +replace trade=493328908 if region==22 & year==2011 +replace trade=491067722 if region==22 & year==2012 +replace trade=689097489 if region==22 & year==2013 + +replace trade=390111167 if region==23 & year==2010 +replace trade=452424226 if region==23 & year==2011 +replace trade=482858238 if region==23 & year==2012 +replace trade=443827288 if region==23 & year==2013 +gen log_trade=ln(trade) +*************************** +***********AGE DUMMIES********** +gen age_value=0 +replace age_value=1 if agegrup==4 | agegrup==5 +replace age_value=2 if agegrup==6 | agegrup==7 +replace age_value=3 if agegrup==8 | agegrup==9 +replace age_value=4 if agegrup==10| agegrup==11 +replace age_value=5 if agegrup==12 | agegrup==13 + +**********AGE-EDUCATION INTERACTION DUMMIES************* +gen ageeduc=age_value*higheduc +******************************************************* +***********FULL TIME JOB DUMMIES***************** +gen timejob_dummy=. +replace timejob_dummy=1 if timejob==1 +replace timejob_dummy=0 if timejob==2 +************************************************** +********** +save main_ready + +****************ANALİZ KODLARI*********************************** +*************************************** +use main_ready +**********TABLO 3**************** +bysort year treated: summarize men age married higheduc urban [iweight=faktor] +estpost tabstat men age married higheduc urban, by(treated) statistics(mean) columns(statistics) listwise + +**********TABLO 4***************** +bysort year treated: summarize employed formal informal unemployed labforce sep_prob find_prob earning_real +********************************** +**********TABLO 5*************************** +eststo: reg informal did i.year i.region men married higheduc urban ageeduc i.age_value, robust +eststo: reg informal did i.year i.region men married higheduc urban ageeduc i.age_value log_trade, robust +eststo: reg informal did i.year i.region married higheduc urban ageeduc i.age_value log_trade if men==1, robust +eststo: reg informal did i.year i.region married higheduc urban ageeduc i.age_value log_trade if men==0, robust +eststo: reg informal did i.year i.region men married urban ageeduc i.age_value log_trade if higheduc==1, robust +eststo: reg informal did i.year i.region men married urban ageeduc i.age_value log_trade if loweduc==1, robust +esttab using deneme.tex, se r2 ar2 keep(did log_trade _cons) replace + +************************************************ +**********TABLO 6******************************* +eststo: reg labforce did i.year i.region men married higheduc urban ageeduc i.age_value, robust +eststo: reg labforce did i.year i.region men married higheduc urban ageeduc i.age_value log_trade, robust +eststo: reg labforce did i.year i.region married higheduc urban ageeduc i.age_value log_trade if men==1, robust +eststo: reg labforce did i.year i.region married higheduc urban ageeduc i.age_value log_trade if men==0, robust +eststo: reg labforce did i.year i.region men married urban ageeduc i.age_value log_trade if higheduc==1, robust +eststo: reg labforce did i.year i.region men married urban ageeduc i.age_value log_trade if loweduc==1, robust +esttab using deneme.tex, se r2 ar2 keep(did log_trade _cons) replace +************************************************** +**********TABLO 7******************************* +eststo: reg unemployed did i.year i.region men married higheduc urban ageeduc i.age_value, robust +eststo: reg unemployed did i.year i.region men married higheduc urban ageeduc i.age_value log_trade, robust +eststo: reg unemployed did i.year i.region married higheduc urban ageeduc i.age_value log_trade if men==1, robust +eststo: reg unemployed did i.year i.region married higheduc urban ageeduc i.age_value log_trade if men==0, robust +eststo: reg unemployed did i.year i.region men married urban ageeduc i.age_value log_trade if higheduc==1, robust +eststo: reg unemployed did i.year i.region men married urban ageeduc i.age_value log_trade if loweduc==1, robust +esttab using deneme.tex, se r2 ar2 keep(did log_trade _cons) replace +************************************************* +**********TABLO 8******************************* +eststo: reg formal did i.year i.region men married higheduc urban ageeduc i.age_value, robust +eststo: reg formal did i.year i.region men married higheduc urban ageeduc i.age_value log_trade, robust +eststo: reg formal did i.year i.region married higheduc urban ageeduc i.age_value log_trade if men==1, robust +eststo: reg formal did i.year i.region married higheduc urban ageeduc i.age_value log_trade if men==0, robust +eststo: reg formal did i.year i.region men married urban ageeduc i.age_value log_trade if higheduc==1, robust +eststo: reg formal did i.year i.region men married urban ageeduc i.age_value log_trade if loweduc==1, robust +esttab using deneme.tex, se r2 ar2 keep(did log_trade _cons) replace +************************************************* +**********TABLO 9******************************* +eststo: reg sep_prob did i.year i.region men married higheduc urban ageeduc i.age_value, robust +eststo: reg sep_prob did i.year i.region men married higheduc urban ageeduc i.age_value log_trade, robust +eststo: reg sep_prob did i.year i.region married higheduc urban ageeduc i.age_value log_trade if men==1, robust +eststo: reg sep_prob did i.year i.region married higheduc urban ageeduc i.age_value log_trade if men==0, robust +eststo: reg sep_prob did i.year i.region men married urban ageeduc i.age_value log_trade if higheduc==1, robust +eststo: reg sep_prob did i.year i.region men married urban ageeduc i.age_value log_trade if loweduc==1, robust +esttab using deneme.tex, se r2 ar2 keep(did log_trade _cons) replace +************************************************* +**********TABLO 10******************************* +eststo: reg find_prob did i.year i.region men married higheduc urban ageeduc i.age_value, robust +eststo: reg find_prob did i.year i.region men married higheduc urban ageeduc i.age_value log_trade, robust +eststo: reg find_prob did i.year i.region married higheduc urban ageeduc i.age_value log_trade if men==1, robust +eststo: reg find_prob did i.year i.region married higheduc urban ageeduc i.age_value log_trade if men==0, robust +eststo: reg find_prob did i.year i.region men married urban ageeduc i.age_value log_trade if higheduc==1, robust +eststo: reg find_prob did i.year i.region men married urban ageeduc i.age_value log_trade if loweduc==1, robust +esttab using deneme.tex, se r2 ar2 keep(did log_trade _cons) replace +***************************************************** +**********TABLO 11********************************** +*************LFP Regressions************************ +eststo: reg labforce did i.year i.region men married higheduc urban ageeduc i.age_value , robust +eststo: reg labforce did i.year i.region men married higheduc urban log_trade if age_value==1, robust +eststo: reg labforce did i.year i.region men married higheduc urban log_trade if age_value==2, robust +eststo: reg labforce did i.year i.region men married higheduc urban log_trade if age_value==3, robust +eststo: reg labforce did i.year i.region men married higheduc urban log_trade if age_value==4, robust +eststo: reg labforce did i.year i.region men married higheduc urban log_trade if age_value==5, robust +esttab using deneme.tex, se keep(did) replace +*************U/P Regressions************************* +eststo: reg unemployed did i.year i.region men married higheduc urban ageeduc i.age_value log_trade, robust +eststo: reg unemployed did i.year i.region men married higheduc urban log_trade if age_value==1, robust +eststo: reg unemployed did i.year i.region men married higheduc urban log_trade if age_value==2, robust +eststo: reg unemployed did i.year i.region men married higheduc urban log_trade if age_value==3, robust +eststo: reg unemployed did i.year i.region men married higheduc urban log_trade if age_value==4, robust +eststo: reg unemployed did i.year i.region men married higheduc urban log_trade if age_value==5, robust +esttab using deneme.tex, se keep(did) replace +************IE/P Regressions************************* +eststo: reg informal did i.year i.region men married higheduc urban ageeduc i.age_value log_trade, robust +eststo: reg informal did i.year i.region men married higheduc urban log_trade if age_value==1, robust +eststo: reg informal did i.year i.region men married higheduc urban log_trade if age_value==2, robust +eststo: reg informal did i.year i.region men married higheduc urban log_trade if age_value==3, robust +eststo: reg informal did i.year i.region men married higheduc urban log_trade if age_value==4, robust +eststo: reg informal did i.year i.region men married higheduc urban log_trade if age_value==5, robust +esttab using deneme.tex, se (did) replace +************FE/P Regressions************************* +eststo: reg formal did i.year i.region men married higheduc urban ageeduc i.age_value log_trade, robust +eststo: reg formal did i.year i.region men married higheduc urban log_trade if age_value==1, robust +eststo: reg formal did i.year i.region men married higheduc urban log_trade if age_value==2, robust +eststo: reg formal did i.year i.region men married higheduc urban log_trade if age_value==3, robust +eststo: reg formal did i.year i.region men married higheduc urban log_trade if age_value==4, robust +eststo: reg formal did i.year i.region men married higheduc urban log_trade if age_value==5, robust +esttab using deneme.tex, se keep(did) replace +***********SP Regressions**************************** +eststo: reg sep_prob did i.year i.region men married higheduc urban ageeduc i.age_value log_trade, robust +eststo: reg sep_prob did i.year i.region men married higheduc urban log_trade if age_value==1, robust +eststo: reg sep_prob did i.year i.region men married higheduc urban log_trade if age_value==2, robust +eststo: reg sep_prob did i.year i.region men married higheduc urban log_trade if age_value==3, robust +eststo: reg sep_prob did i.year i.region men married higheduc urban log_trade if age_value==4, robust +eststo: reg sep_prob did i.year i.region men married higheduc urban log_trade if age_value==5, robust +esttab using deneme.tex, se keep(did) replace +************JFP Regressions**************************** +eststo: reg find_prob did i.year i.region men married higheduc urban ageeduc i.age_value log_trade, robust +eststo: reg find_prob did i.year i.region men married higheduc urban log_trade if age_value==1, robust +eststo: reg find_prob did i.year i.region men married higheduc urban log_trade if age_value==2, robust +eststo: reg find_prob did i.year i.region men married higheduc urban log_trade if age_value==3, robust +eststo: reg find_prob did i.year i.region men married higheduc urban log_trade if age_value==4, robust +eststo: reg find_prob did i.year i.region men married higheduc urban log_trade if age_value==5, robust +esttab using deneme.tex, se keep(did) replace +******************************************************** +*************TABLO 13*********************************** +eststo: reg log_realearning did i.year i.region men married higheduc urban ageeduc i.age_value timejob_dummy i.firmsize i.industry, robust +eststo: reg log_realearning did i.year i.region men married higheduc urban ageeduc i.age_value timejob_dummy i.firmsize i.industry log_trade, robust +eststo: reg log_realearning did i.year i.region married higheduc urban ageeduc i.age_value log_trade timejob_dummy i.firmsize i.industry if men==1, robust +eststo: reg log_realearning did i.year i.region married higheduc urban ageeduc i.age_value log_trade timejob_dummy i.firmsize i.industry if men==0, robust +eststo: reg log_realearning did i.year i.region men married urban ageeduc i.age_value log_trade timejob_dummy i.firmsize i.industry if higheduc==1, robust +eststo: reg log_realearning did i.year i.region men married urban ageeduc i.age_value log_trade timejob_dummy i.firmsize i.industry if loweduc==1, robust +esttab using deneme.tex, se r2 ar2 keep(did log_trade _cons) replace + + diff --git "a/2020-fall/report/\303\226dev 2 Son hali.tex" "b/2020-fall/report/\303\226dev 2 Son hali.tex" new file mode 100644 index 0000000..6d40ad6 --- /dev/null +++ "b/2020-fall/report/\303\226dev 2 Son hali.tex" @@ -0,0 +1,453 @@ +\documentclass{article} +\usepackage[utf8]{inputenc} +\documentclass{article} +\usepackage{geometry} +\usepackage{ragged2e} +\usepackage{graphicx} +\usepackage{wrapfig} +\usepackage{csvsimple} +\usepackage[utf8]{inputenc} +\usepackage{amsmath} +\usepackage{placeins} +\graphicspath{ {./graphics/} } +\geometry{a4paper, top=2cm, bottom=1cm, hmargin=2.3cm, includehead, includefoot} + +\title{Emek Ekonomisi- IKT533} +\author{Büşra Bahadir } +\date{January 2021} +\maketitle +\subsection*{Makalenin Kısa Özeti} + Bu çalışmanın temel amacı zorunlu göçü doğal bir deney olarak kullanarak Suriyeli göçmenlerin yerli nüfusun işgücü piyasası üzerindeki etkilerini analiz etmektedir. Bu çalışma farkların farkları yöntemi (difference in difference method) ile göç öncesi ve sonrası dönemde mültecileri kabul eden ve etmeyen bölgelerdeki yerlilerin sonuçlarını karşılaştırmaktadır. Suriyeli mültecilerin Türkiye’ ye büyük oranlarda girişi 2012 yılı başlangıcında başlamıştır. Dolayısıyla, müdahee tarihi 1 Ocak 2012 olarak kabu edilir. 2010-2011 göç öncesi periyod (pre-immigration period) ve 2012-2013 ie göç sonrası periyod (post-immigration period) olarak kabul edildi. Suriyeli mültecilerin çok ufak bir kısmı Türkiye’ nin Güneydoğusunda kalıp ve ülkenin Kuzey ve Batı kısımlarına doğru hareket ederken, çok büyük bir kısım mülteci de Türkiye-Suriye sınırının yakınındaki şehirlere yerleştiler. +\\ +\\ +Türkiye’ nin Güneydoğusunda mülteci nüfus oranının yüzde 2'nin nin üzerinde olduğu şehirlerden “müdahele bölgesi (treatment area) oluşturulmuş. Komşu bölgelerde Suriyeli mültecilerin önemsenmeyecek bir miktarına ev sahipliği yapan kalan şehirlerde kontrol bölgesini (control area) oluşturmuştur. Kontrol bölgesi kültürel açılardan, sosyo-demografik karakteristikler açısından ve ekonomik gelişme açısından müdahele bölgesine benzerdir. +\\ +\\ +Veri seti sadece yerlilerden oluşmaktadır. Yerliler hakkında verilen veriler göz önüne alındığında, farkların farkı stratejisi kontrol bölgesiyle göç öncesi ve göç sonrası karşılaştırmasına dayalı olarak müdahele bölgesinde yaşayan yerlilerin işgücü piyasası sonuçları üzerindeki Suriyeli mültecilerin etkisini belirlemektedir. Örneklem NUTS2 sınıflamasına göre belirlenen Türkiye’ deki 26 bölgeden 9’ unu kapsamaktadır. Müdahele bölgesi Güneydoğu Anadolu’daki 5 bölgeyi kapsamaktadır. Kontrol bölgesi Doğu Anadoludaki 4 bölgeyi kapsamaktadır. +\\ +\\ +\\ + \newpage + \subsection*{Özet İstatistikler- Tablo 3} + + + + +\begin{document} + +\maketitle + \begin{table}[h] + \subsection*{Table 3 Summary statistics: demographic characteristics for natives} + \begin{tabular}{|llllll|} + \hline + & \multicolumn{2}{|c|}{Pre-treatment} & \multicolumn{2}{|c|}{Post-treatment} &\\ + & 2010 & 2011 & 2012 & 2013 & Total \\ \hline + \multicolumn{6}{|c|}{Treatment Area}\\ \hline + Men & 0,481 & 0,482 & 0,480 & 0,480 & 0,481 \\ + Age & 34,6 & 34,9 & 35,2 & 35,5 & 35,0 \\ + Married & 0,645 & 0,640 & 0,635 & 0,638 & 0,64 \\ + High school and above & 0,221 & 0,233 & 0,236 & 0,247 & 0,234 \\ + Urban & 0,729 & 0,743 & 0,740 & 0,752 & 0,741 \\ + Number of obs. & 58143 & 56382 & 56167 & 54656 & 225348 \\ \hline + \multicolumn{6}{|c|}{Control Area}\\ \hline + Men & 0,479 & 0,489 & 0,491 & 0,490 & 0,487 \\ + Age & 34,0 & 34,1 & 34,4 & 34,5 & 34.2 \\ + Married & 0,643 & 0,635 & 0,633 & 0,628 & 0,635 \\ + High school and above & 0,216 & 0,232 & 0,261 & 0,249 & 0,239 \\ + Urban& 0,532 & 0,509 & 0,512 & 0,525 & 0,520 \\ + Number of obs. & 33646 & 32614 & 31127 & 31288 & 128675 \\ \hline + \end{tabular} + \end{table} +\ +Yukarıdaki tablo yerli nüfus için sosyal ve demografik özelliklere ait özet istatistikleri yansıtmaktadır. Müdahele ve kontrol bölgelerindeki bireylerin sosyal ve demografik özelliklerinin oldukça benzer olduğu gözlemlenmektedir. Dahası 2010 ve 203 arasında sosyal ve demografik özellikleri belirgin şekilde değişmemektedir. İş hayatının ilk erken evrelerinde olan genç bireylerin oranı örneklemde yüksektir. Lise ve üniversite mezunlarının bölgesel nüfusa oranı müdahele ve kontrol bölgelerinde oldukça düşüktür. Tablo 3’ teki kontrol ve müdahele bölgelerindeki sosyal ve demografik özellikleri gösteren özet istatistiklere bakıdığında her yıl için rakamlar iki bölgede de oldukça benzer olduğu göze çarpmaktadır. Zaten kontrol ve müdahele bölgeleri seçilirken bu göz önünde bulundurulmuştur. + \\ + \\ +Tablodaki şehirleşmeyi gösteren özet istatistiğinin ortalama değerine bakıldığında şehirleşme oranları açısından bazı farklılıklar olduğu görülür. Müdahele bölgesi kontrol bölgesine kıyasla biraz daha şehirleşmiştir. İşgücü piyasası göstergelerindeki farklılıkları kentleşme oranlarındaki farklılıklara bağlamak mümkündür. Bu olasılığı yakalamak için, regresyonlarda kentsel / kırsal ikamet durumu kontrol edilmiştir. +\\ +\\ +\\ + +\newpage + \subsection*{Özet İstatistikler- Tablo 4} + Aşağıdaki tablo yerli nüfus için işgücü piyasası göstergelerinin özet istatistiklerini içermektedir. Tabloya göre kontrol ve müdahele bölgeleri arasında temel işgücü piyasası göstergeleri açısından bakıldığında bazı farklılıklar vardır. İşsizlik oranı ise müdahele bölgesinde daha yüksekken, istihdam ve işgücüne katılım oranları kontrol bölgesiyle kıyaslandığında müdahele bölgesinde daha düşüktür. + \begin{table}[h] + \subsection*{Table 4 Summary statistics: labor market outcomes for natives} + + \begin{tabular}{|cccccc|} + \hline + & \multicolumn{2}{|c|}{Pre-treatment} & \multicolumn{2}{|c|}{Post-treatment} &\\ + & 2010 & 2011 & 2012 & 2013 & Total \\ \hline + \multicolumn{8}{|c|}{Treatment Area}\\ \hline + TE/P & 0,389 & 0,398 & 0,388 & 0,398 & 0,393 \\ + FE/P & 0,167 & 0,183 & 0,196 & 0,216 & 0,189 \\ + IE/P & 0,222 & 0,215 & 0,192 & 0,181 & 0,203 \\ + U/P & 0,066 & 0,054 & 0,050 & 0,061 & 0,058 \\ + LFP & 0,456 & 0,452 & 0,439 & 0,459 & 0,450 \\ + Real Wages (TL) & 868,5 & 914,7 & 956,7 & 976,7 & 929,2 + \\ + Separation prob. & 0,087 & 0,076 & 0,076 & 0,102 & 0,085 \\ + Job finding prob. & 0,385 & 0,434 & 0,417 & 0,398 & 0,408 \\ + \hline + \multicolumn{8}{|c|}{Control Area}\\ \hline + TE/P & 0,440 & 0,458 & 0,463 & 0,477 & 0,458 \\ + FE/P & 0,159 & 0,180 & 0,199 & 0,202 & 0,183 \\ + IE/P & 0,281 & 0,278 & 0,264 & 0,275 & 0,275\\ + U/P & 0,058 & 0,050 & 0,041 & 0,043 & 0,048 \\ + LFP & 0,498 & 0,509 & 0,504 & 0,520 & 0,506 \\ + Real Wages (TL) & 1070,9 & 1097,7 & 1142,5 & 1121,5 & 1108,2 \\ + Separation prob. & 0,052 & 0,054 & 0,059 & 0,062 & 0,057 \\ + Job finding prob. & 0,331 & 0,385 & 0,409 & 0,407 & 0,381 \\ + \hline + \end{tabular} + \end{table} + \FloatBarrier + \end{justify} +\ +{ +\def\sym#1{\ifmmode^{#1}\else\(^{#1}\)\fi} +\newpage + \subsection*{Kayıtdışı İstihdamın Yerli Nüfusa Oranı- Table 5} + Tablo 5 mülteci girişinin yerli nüfus için kayıt dışı istihdam olasılığı üzerindeki etkisini göstermektedir. Bağımlı değişken ikili bir gösterge olup kayıtdışı bir işe sahip olan birey için 1 değerini almakta ve diğer şekilde de 0 değerini almaktadır. İlk sütuna bakıldığında Türkiye’ deki müdahele bölgelerine mülteci girişi kontrol bölgelerindeki yerli nüfusa kıyasla bu bölgelerdeki yerlilerin kayıtdışı bir işe sahip olma olasılığını yüzde 2,2 azaltmaktadır. İkinci sütün aynı analizi söz konusu bölgelerin yıllık ticaret hacmini de kontrol ederek yapmaktadır. Sonuçlar yaklaşık olarak aynı çıkmaktadır ve mülteci girişi bölgelerin değişen ekonomik aktvitelerinden daha çok tahmini etkileri yönendirmektedir. Üçüncü ve dördüncü sütunlar, etkinin hem erkekler hem de kadınlar arasında istatistiksel olarak anlamlı olduğunu ve kadınlar arasında daha büyük olduğunu göstermektedir. Son iki sütun, etkinin daha az eğitimli bireyler, yani lise mezunu olmayanlar arasında yoğunlaştığını göstermektedir. + \subsection*{Table 5 Informal employment-to-population ratio} +\begin{tabular}{l*{6}{c}} + +\hline\hline +Variable + &\multicolumn{1}{c}{Total}&\multicolumn{1}{c}{Total}&\multicolumn{1}{c}{Men}&\multicolumn{1}{c}{Women}&\multicolumn{1}{c}{High Ed.}&\multicolumn{1}{c}{Low Ed.}\\ +\hline +Refugee effect (RXT) & -0.0228\sym{***}& -0.0224\sym{***}& -0.0176\sym{***}& -0.0268\sym{***}& 0.00717 & -0.0335\sym{***}\\ + & (0.00281) & (0.00281) & (0.00444) & (0.00344) & (0.00457) & (0.00339) \\ +[1em] +Year fixed effects & Yes& Yes& Yes& Yes& Yes& Yes\\ + & & & & & & \\ +[1em] +Region fixed effects & Yes& Yes& Yes& Yes & Yes& Yes\\ + & & & & & & \\ +[1em] +Other controls & Yes& Yes& Yes& Yes& Yes& Yes\\ + & & & & & & \\ +[1em] +Log trade vol. & No & Yes & Yes& Yes & Yes & Yes \\ + & & & & & & \\ +[1em] +Intercept & 0.307\sym{***}& 0.719\sym{***}& 1.225\sym{***}& 0.397\sym{*} & 0.107 & 0.813\sym{***}\\ + & (0.00278) & (0.148) & (0.240) & (0.175) & (0.242) & (0.178) \\ +\hline +Number of obs. & 354023 & 354023 & 171017 & 183006 & 83415 & 270608 \\ +\(R^{2}\) & 0.124 & 0.124 & 0.091 & 0.123 & 0.052 & 0.125 \\ +adj. \(R^{2}\)& 0.124 & 0.124 & 0.091 & 0.123 & 0.052 & 0.125 \\ +\hline\hline +\multicolumn{7}{l}{\footnotesize Standard errors in parentheses}\\ +\multicolumn{7}{l}{\footnotesize \sym{*} \(p<0.05\), \sym{**} \(p<0.01\), \sym{***} \(p<0.001\)}\\ +\end{tabular} +} +\ +{ + +\def\sym#1{\ifmmode^{#1}\else\(^{#1}\)\fi} + +\ +\newpage + \subsection*{İşgücüne Katılım Oranı- Table 6} + Kayıtdışı bir işe sahip olma olasılığındaki düşüş kayıtlı istihdama geçmediğiniz sürece negatif bir sonuç doğuracağı düşünülür. Kayıtdışı çalıştıkları işi kaybeden kişiler kalan 3 işgücü piyasası durumundan birine geçerler. Hem işgücünden çıkarlar, hem işsiz kalırlar veya kayıtlı çalışacakları bir iş bulurlar. Aşağıdaki tablo mülteci girişlerinin Türkiye’ nin Güneydoğu’ sundaki yerli bireylerin işgücü katılımı üzerindeki etkiyi tahmin etmektedir. Örneklem Tablo 5’ te kullanılan örneklemle aynıdır. Bağımlı değişken ikili gösterge olup eğer kişi işgücü içinde ise 1, diğer durumda 0 değerini almaktadır. İkinci sütundaki tahminlere göre control bölgesindeki yerlilerle kıyaslandığında mülteci girişleri müdahele bölgesindeki yerli bireylerin iş gücüne katılımını yüzde 1,1 azaltmaktadır. Üçüncü ve dördüncü sütun etkinin çoğunlukla kadınlar tarafından yönlendirildiğini göstermektedir. Erkekler arasında tahmin edilen etki pozitif ama istatistiksel olarak anlamsızken kadınlar arasında etki negatif ve istatistiksel olarak anlamlı çıkmaktadır. Son sütun etkinin düşük eğitim seviyesine sahipbireyler arasında yoğunlaştığını göstermektedir. + \subsection*{Table 6 Labor force participation} +\begin{tabular}{l*{6}{c}} +\hline + +\hline\hline + +Variable + +&\multicolumn{1}{c}{Total}&\multicolumn{1}{c}{Total}&\multicolumn{1}{c}{Men}&\multicolumn{1}{c}{Women}&\multicolumn{1}{c}{High Ed.}&\multicolumn{1}{c}{Low Ed.}\\ +\hline +Refugee effect (RXT) & -0.0110\sym{***}& -0.0117\sym{***}& 0.00510 & -0.0282\sym{***}& 0.00277 & -0.0175\sym{***}\\ + & (0.00287) & (0.00287) & (0.00391) & (0.00400) & (0.00585) & (0.00327) \\ +[1em] +Year fixed efffects & Yes& Yes& Yes& Yes& Yes& Yes\\ + & & & & & & \\ +[1em] +Region fixed effects & Yes& Yes& Yes& Yes& Yes & Yes\\ + & & & & & & \\ +[1em] +Other controls & Yes& Yes& Yes& Yes& Yes& Yes\\ + & & & & & & \\ +[1em] +Log trade vol. & No & Yes& Yes& Yes& Yes& Yes \\ + & & & & & & \\ +[1em] +Intercept & 0.220\sym{***}& -0.548\sym{***}& -0.724\sym{***}& 0.0892 & -1.574\sym{***}& -0.184 \\ + & (0.00290) & (0.154) & (0.218) & (0.205) & (0.322) & (0.174) \\ +\hline +Number of obs. & 354023 & 354023 & 171017 & 183006 & 83415 & 270608 \\ +\(R^{2}\) & 0.336 & 0.336 & 0.227 & 0.127 & 0.273 & 0.338 \\ +adj. \(R^{2}\)& 0.336 & 0.336 & 0.227 & 0.127 & 0.273 & 0.338 \\ +\hline\hline +\multicolumn{7}{l}{\footnotesize Standard errors in parentheses}\\ +\multicolumn{7}{l}{\footnotesize \sym{*} \(p<0.05\), \sym{**} \(p<0.01\), \sym{***} \(p<0.001\)}\\ +\end{tabular} +} +\ +{ +\def\sym#1{\ifmmode^{#1}\else\(^{#1}\)\fi} + +\ +\newpage + \subsection*{İşsizliğin Yerli Nüfusa Oranı- Table 7} + Tablo 7 mülteci girişinin Türkiye’ nin Güneydoğu bölgelerindeki yerleşik bireylerin işsizliği üzerindeki tahmini etkisini göstermektedir. Örneklem aynı şekilde Tablo 5 ve Tablo 6’ daki ile aynı ve 15-64 yaş aralığındaki işgücü katılımı durumu ne olursa olsun bütün bireyleri kapsamaktadır. İlk iki sütun müdahele bölgesindeki toplam nüfus içinde işsiz bireylerin oranının mülteci girişlerinden sonra yüzde 0.7 arttığını göstermektedir. Sonraki iki sütun mülteci girişinin etkisinin erkekler arasında istatistiksel olarak anlamlı olduğunu ve kadınlar arasında istatistiksel olarak anlamsız olduğunu göstermektedir. Son iki sütun etkinin lise mezuniyetine sahip olmayan, düşük eğitimli olarak sınıflandırılan bireyler tarafından yönlendirildiğini göstermektedir. +\subsection*{Table 7 Unemployment-to-population ratio} + +\begin{tabular}{l*{6}{c}} +\hline + +\hline +Variable + &\multicolumn{1}{c}{Total}&\multicolumn{1}{c}{Total}&\multicolumn{1}{c}{Men}&\multicolumn{1}{c}{Women}&\multicolumn{1}{c}{High Ed.}&\multicolumn{1}{c}{Low Ed.}\\ +\hline +Refugee effect (RxT) & 0.00785\sym{***}& 0.00718\sym{***}& 0.0149\sym{***}& 0.000140 & 0.00535 & 0.00763\sym{***}\\ + & (0.00152) & (0.00152) & (0.00274) & (0.00142) & (0.00372) & (0.00161) \\ +[1em] +Year fixed effects & Yes& Yes& Yes & Yes& Yes& Yes\\ + & & & & & & \\ +[1em] +Region fixed effects & Yes& Yes& Yes& Yes& Yes& Yes\\ + & & & & & & \\ +[1em] +Other controls & Yes& Yes& Yes& Yes& Yes& Yes\\ + & & & & & & \\ +[1em] +Log trade vol & No& Yes& Yes& Yes & Yes& Yes\\ + & & & & & & \\ +[1em] +Intercept & 0.0408\sym{***}& -0.710\sym{***}& -1.273\sym{***}& -0.160\sym{*} & -0.800\sym{***}& -0.708\sym{***}\\ + & (0.00156) & (0.0787) & (0.145) & (0.0681) & (0.192) & (0.0841) \\ +\hline +Number of obs. & 354023 & 354023 & 171017 & 183006 & 83415 & 270608 \\ +\(R^{2}\) & 0.033 & 0.033 & 0.015 & 0.046 & 0.032 & 0.041 \\ +adj. \(R^{2}\)& 0.033 & 0.033 & 0.015 & 0.046 & 0.031 & 0.041 \\ +\hline\hline +\multicolumn{7}{l}{\footnotesize Standard errors in parentheses}\\ +\multicolumn{7}{l}{\footnotesize \sym{*} \(p<0.05\), \sym{**} \(p<0.01\), \sym{***} \(p<0.001\)}\\ +\end{tabular} +} +\ +\ +{ +\def\sym#1{\ifmmode^{#1}\else\(^{#1}\)\fi} + +\newpage + \subsection*{Kayıtlı İstihdamın Yerli Nüfusa Oranı- Table 8} + Son olarak mülteci girişlerinin Türkiye’ nin Güneydoğu bölgelerindeki yerleşik bireyler arasında kayıtlı bir işe sahip olma olasılığı üzerindeki tahmini etkisi Tablo 8’ de gösterilmektedir. İlk iki sütun mülteci girişlerinden sonra kontrol bögesindeki yerleşik bireylerle karşılaştırıldığında müdahele bölgelerinde yerleşik bireyler arasında kayıtlı bir işe sahip olma olasılığı yüzde 0.4 artmıştır. Sonraki sütunlara bakıldığında etki erkekler arasında ve düşük eğitim seviyelerinde yoğunlaşmıştır. Bu etki kadınlar için ve yüksek eğitim düzeyli bireyler arasında istatistiksel olarak anlamsız çıkmıştır. + +Şimdiye kadar olan kısmı özetleyecek olursak mülteci girişinin bir sonucu olarak, müdahele bölgesindeki yerli bireyler için kayıt dışı bir işe sahip olma olasılığının yüzde 2,2 puan düştüğünü görüyoruz. +Kayıt dışı istihdamdaki bu düşüşün yüzde 1,1’ i işgücünden çıkmış, yüzde 0,7’ si işsiz kalmış ve yüzde 0,4’ ü kayıtlı işe geçmiştir. Erkekler için kayıtdışı istihdam olasılığındaki düşüş yüzde 1,9’ dur. Kayıtdışı işlerini kaybeden erkekler işgücünden çıkmamıştır. Kadınlar için kayıtdışı bir işe sahip olma olasılığındaki düşüş daha yüksek ve yüzde 2,6’ dır. Erkeklerden farklı olarak kadınlarda işsizlikte ve kayıtlı istihdam olasılığında herhangi bir artış bulunmamıştır. Kayıtsız işlerini kaybeden bütün kadınlar işgücünün dışına çıkmıştır. +Mülteci girişlerine karşılık olarak işgücü piyasasındaki cinsiyet farklılıkları kısmende olsa bölgedeki ataerkil sosyal normlar tarafından açıklanabilir. Bu bölgede kadınlar için işgücüne katılım oranı oldukça düşüktür ve kadınlar çoğunluka yerleşim yerlerinin yakın çevresindeki işlerde kayıtdışı olarak çalışmayı seçerler. Bu kadınlar için iş alternatifleri çok kısıtlıdır ve bir kere işlerini kaybederlerse onar için doğan sonuç işgücünün dışına çıkmaktır. + +\subsection*{Table 8 Formal Employment-to-population ratio} + +\begin{tabular}{l*{6}{c}} +\hline +\hline + +Variable &\multicolumn{1}{c}{Total}&\multicolumn{1}{c}{Total}&\multicolumn{1}{c}{Men}&\multicolumn{1}{c}{Women}&\multicolumn{1}{c}{High Ed.}&\multicolumn{1}{c}{Low Ed.}\\ +\hline +Refugee effect (RXT) & 0.00393 & 0.00354 & 0.00783 & -0.00149 & -0.00975 & 0.00843\sym{***}\\ + & (0.00230) & (0.00231) & (0.00406) & (0.00207) & (0.00622) & (0.00227) \\ +[1em] +Year fixed effects & Yes& Yes& Yes & Yes & Yes& Yes\\ + & & & & & & \\ +[1em] +Region fixed effects & Yes& Yes& Yes& Yes& Yes& Yes\\ + & & & & & & \\ +[1em] +Other Controls & Yes& Yes& Yes& Yes& Yes& Yes\\ + & & & & & & \\ +[1em] +Log trade vol. & No& Yes& Yes& Yes & Yes & Yes \\ + & & & & & & \\ +[1em] +Intercept & -0.127\sym{***}& -0.557\sym{***}& -0.677\sym{**} & -0.148 & -0.880\sym{**} & -0.290\sym{*} \\ + & (0.00215) & (0.124) & (0.219) & (0.109) & (0.341) & (0.121) \\ +\hline +Number of obs. & 354023 & 354023 & 171017 & 183006 & 83415 & 270608 \\ +\(R^{2}\) & 0.280 & 0.280 & 0.250 & 0.185 & 0.236 & 0.171 \\ +adj. \(R^{2}\)& 0.280 & 0.280 & 0.250 & 0.184 & 0.236 & 0.171 \\ +\hline\hline +\multicolumn{7}{l}{\footnotesize Standard errors in parentheses}\\ +\multicolumn{7}{l}{\footnotesize \sym{*} \(p<0.05\), \sym{**} \(p<0.01\), \sym{***} \(p<0.001\)}\\ +\end{tabular} +} + + +\newpage + \subsection*{İşten Ayrılma Olasılığı- Table 9} +Tablo 9 mülteci girişlerinin müdahele bölgelerindeki yerli bireylerin işten ayrıma olasılıkları üzerindeki etkisini tahmin eden analiz sonuçlarını göstermektedir. Örneklem tam olarak bir yıönce istihdamda olan 15-64 yaş aralığındaki bütün bireyleri kapsamaktadır. İkili gösterge geçen yıl istihdamda olup şu an istihdamda olmayan bireyler için 1 değerini almaktadır. Sonuçlar mülteci girişinin yerli bireylerin işten ayrılma olasılığı üzerinde hiçbir etkisi olmadığını göstermektedir. +\subsection*{Table 9 Job separation probability} + +{ +\def\sym#1{\ifmmode^{#1}\else\(^{#1}\)\fi} +\begin{tabular}{l*{6}{c}} +\hline\hline +Variable + &\multicolumn{1}{c}{Total}&\multicolumn{1}{c}{Total}&\multicolumn{1}{c}{Men}&\multicolumn{1}{c}{Women}&\multicolumn{1}{c}{High Ed.}&\multicolumn{1}{c}{Low Ed.}\\ +\hline +Refugee effect (RXT) & 0.00110 & 0.00110 & 0.00127 & 0.00297 & -0.00267 & 0.00387 \\ + & (0.00275) & (0.00275) & (0.00311) & (0.00582) & (0.00458) & (0.00342) \\ +[1em] +Year fixed effects & Yes& Yes& Yes& Yes& Yes& Yes\\ + & & & & & & \\ +[1em] +Region fixed effects & Yes& Yes& Yes& Yes& Yes& Yes \\ + & & & & & & \\ +[1em] +Other controls & Yes& Yes& Yes& Yes& Yes& Yes\\ + & & & & & & \\ +[1em] +Log trade vol. & No & Yes & Yes & Yes & Yes & Yes \\ + & & & & & & \\ +[1em] +Intercept & 0.126\sym{***}& 0.112 & 0.0656 & 0.250 & 0.165 & 0.0760 \\ + & (0.00337) & (0.155) & (0.175) & (0.325) & (0.251) & (0.195) \\ +\hline +Number of obs. & 136824 & 136824 & 100549 & 36275 & 43288 & 93536 \\ +\(R^{2}\) & 0.024 & 0.024 & 0.018 & 0.051 & 0.033 & 0.024 \\ +adj. \(R^{2}\)& 0.024 & 0.024 & 0.018 & 0.051 & 0.033 & 0.024 \\ +\hline\hline +\multicolumn{7}{l}{\footnotesize Standard errors in parentheses}\\ +\multicolumn{7}{l}{\footnotesize \sym{*} \(p<0.05\), \sym{**} \(p<0.01\), \sym{***} \(p<0.001\)}\\ +\end{tabular} +} + +\ +\ +{ +\def\sym#1{\ifmmode^{#1}\else\(^{#1}\)\fi} + + +\newpage + \subsection*{İş Bulma Olasılığı- Table 10} + Tablo 10 aynı analizin iş bulma olasılığı için yapılmış tahminlerini göstermektedir. Örneklem tam olarak bir yıl önce çalışmayan ve aktif olarak iş arayan 15-64 yaş aralığındaki bütün bireyleri kapsamaktadır. İkili gösterge eğer kişi geçen yıl işsiz ve şu an bir işe sahip olanlar için 1 değerini almaktadır. Tahminler negatif ve istatistiksel olarak anlamlıdır. Müdahele bölgelerindeki hem erkekler hem kadınlar mülteci girişleri sonrasında kontrol bölgelerindeki erkek ve kadınlara kıyasla bir iş bulmakta daha zorlanmaktadırlar. + +Tablo 9 ve Tablo 10 mülteci girişinin etkisinin, işten ayrılma olasılığını artırmak yerine iş bulma olasılığını azaltarak gerçekleştiğini göstermektedir. + +\subsection*{Table 10 Job finding probability} + + +\begin{tabular}{l*{6}{c}} +\hline\hline +Variable + &\multicolumn{1}{c}{Total}&\multicolumn{1}{c}{Total}&\multicolumn{1}{c}{Men}&\multicolumn{1}{c}{Women}&\multicolumn{1}{c}{High Ed.}&\multicolumn{1}{c}{Low Ed.}\\ +\hline +Refugee effect (RXT) & -0.0457\sym{***}& -0.0456\sym{***}& -0.0430\sym{***}& -0.0604 & 0.0174 & -0.0663\sym{***}\\ + & (0.0122) & (0.0123) & (0.0131) & (0.0353) & (0.0239) & (0.0143) \\ +[1em] +Year fixed effects & Yes& Yes& Yes& Yes & Yes& Yes\\ + & & & & & & \\ +[1em] +Region fixed effects & Yes& Yes& Yes& Yes & Yes& Yes\\ + & & & & & & \\ +[1em] +Other controls & Yes & Yes & Yes & Yes & Yes & Yes \\ + & & & & & & \\ +[1em] +Log trade vol. & No& Yes & Yes & Yes & Yes & Yes \\ + & & & & & & \\ +[1em] +Intercept & 0.342\sym{***}& 0.379 & 0.272 & 3.237 & 0.494 & 0.0883 \\ + & (0.0133) & (0.653) & (0.686) & (2.117) & (1.333) & (0.753) \\ +\hline +Number of obs. & 29330 & 29330 & 25958 & 3372 & 7372 & 21958 \\ +\(R^{2}\) & 0.042 & 0.042 & 0.045 & 0.040 & 0.047 & 0.043 \\ +adj. \(R^{2}\)& 0.041 & 0.041 & 0.044 & 0.034 & 0.045 & 0.043 \\ +\hline\hline +\multicolumn{7}{l}{\footnotesize Standard errors in parentheses}\\ +\multicolumn{7}{l}{\footnotesize \sym{*} \(p<0.05\), \sym{**} \(p<0.01\), \sym{***} \(p<0.001\)}\\ +\end{tabular} +} +\ +\ +{ +\def\sym#1{\ifmmode^{#1}\else\(^{#1}\)\fi} + +\ +\newpage + \subsection*{Yaş Gruplarına Göre Mülteci Girişlerinin Etkisi- Table 11} + Tablo 11 bütün işgücü piyasası göstergeleri için farkların farkı regresyonlarını yaş grupları için özetlemektedir. 15-24 ve 55-64 arasında değişen eşit aralıklı altı yaş grubuna göre sonuçlar gösterilmiştir. Yukarıda özetlenen etkilerin daha çok 35 yaş altındaki genç bireylerde işlediği bulunmuştur. +Özellikle, kayıt dışı işleri kaybetme ve hem işsiz kalma (genç erkekler için) hemde işgücünden ayrılma (genç kadınlar için) en çok 35 yaşından daha genç bireylerde görülmektedir + +\subsection*{Table 11 Refugee effects by age groups} +\ +\centering +\begin{tabular}{l*{6}{c}} +\hline +\hline +Outcome + &\multicolumn{1}{c}{Total}&\multicolumn{1}{c}{15-24}&\multicolumn{1}{c}{25-34}&\multicolumn{1}{c}{35-44}&\multicolumn{1}{c}{45-54}&\multicolumn{1}{c}{55-64}\\ +\hline +Labor Force Part. & -0.0110\sym{***}& -0.00196 & -0.0232\sym{***}& -0.00914 & -0.0139 & -.0109839\\ + & (0.0029) & (0.0056) & (0.0055) & (0.0057) & (0.0071) & (0.0091) \\ +[1em] +U/P & 0.00718\sym{***}& 0.0122\sym{***}& 0.0142\sym{***}& 0.00406 & -0.00486 & 0.000611 \\ + & (0.00152) & (0.00298) & (0.00365) & (0.00332) & (0.00320) & (0.00256) \\ +[1em] +IE/P & -0.0224\sym{***}& -0.0187\sym{***}& -0.0264\sym{***}& -0.0278\sym{***}& -0.00752 & -0.0266\sym{**} \\ + & (0.00281) & (0.00490) & (0.00570) & (0.00643) & (0.00742) & (0.00857) \\ +[1em] +FE/ & 0.00354 & 0.00460 & -0.0110\sym{*} & 0.0146\sym{**} & -0.00147 & 0.0150\sym{**} \\ + & (0.00231) & (0.00308) & (0.00537) & (0.00551) & (0.00617) & (0.00578) \\ +[1em] +Job Separation prob. & 0.00110 & -0.00193 & 0.00364 & 0.00350 & -0.00253 & 0.00554 \\ + & (0.00275) & (0.00919) & (0.00530) & (0.00453) & (0.00554) & (0.00847) \\ +[1em] +Job Finding prob. & -0.0456\sym{***}& -0.0661\sym{**} & -0.0306 & -0.0186 & -0.0415 & -0.0943 \\ + & (0.0123) & (0.0208) & (0.0220) & (0.0286) & (0.0364) & (0.0579) \\ +\hline + +\hline\hline +\multicolumn{7}{l}{\footnotesize Standard errors in parentheses}\\ +\multicolumn{7}{l}{\footnotesize \sym{*} \(p<0.05\), \sym{**} \(p<0.01\), \sym{***} \(p<0.001\)}\\ +\end{tabular} +} +\newpage + \subsection*{Aylık Reel Gelir- Table 13} + Son olarak mülteci girişinin yerlilerin ücreti üzerindeki etkisi incelenmiştir. Tablo 13 mülteci girişlerinin kayıtlı çalışanların aylık reel kazançları üzerindeki etkiyi tahmin eden analiz sonuçlarını göstermektedir. Örneklem 15-64 yaş aralığında maaşlı çalışan istihdam edilen yerli bireyleri kapsamaktadır. Bağımlı değişken reel aylık kazançların logaritması alınmış şekli olarak tanımlanmıştır. Sonuçlara bakıldığında mülteci girişlerinin yerli bireylerin reel ücretleri üzerinde istatistiksel olarak anlamlı bir ilişkisi bulunmamıştır. +\subsection*{Table 13 Formal real monthly earnings} +\Floatbarrier +\centering +{ +\def\sym#1{\ifmmode^{#1}\else\(^{#1}\)\fi} +\begin{tabular}{l*{6}{c}} +\hline +\hline + +Variable + &\multicolumn{1}{c}{Total}&\multicolumn{1}{c}{Total}&\multicolumn{1}{c}{Men}&\multicolumn{1}{c}{Women}&\multicolumn{1}{c}{High Ed.}&\multicolumn{1}{c}{Low Ed.}\\ +\hline +Refugee effect (RXT) & 0.00938 & 0.00981 & 0.00951 & 0.0263 & 0.0167 & 0.00589 \\ + & (0.00678) & (0.00678) & (0.00720) & (0.0179) & (0.00901) & (0.00946) \\ +[1em] +Year fixed effects & Yes& Yes& Yes& Yes & Yes& Yes\\ + & & & & & & \\ +[1em] +Region fixed effects & Yes& Yes& Yes& Yes & Yes& Yes\\ + & & & & & & \\ +[1em] +Other controls & Yes & Yes & Yes & Yes & Yes & Yes \\ + & & & & & & \\ +[1em] +Log trade vol. & No& Yes & Yes & Yes & Yes & Yes \\ + & & & & & & \\ +[1em] +Intercept & 5.066\sym{***}& 6.044\sym{***}& 5.909\sym{***}& 7.170\sym{***}& 5.580\sym{***}& 5.855\sym{***}\\ + & (0.0183) & (0.366) & (0.385) & (0.999) & (0.488) & (0.507) \\ +\hline +Number of obs. & 78908 & 78908 & 64346 & 14562 & 36282 & 42626 \\ +\(R^{2}\) & 0.555 & 0.555 & 0.537 & 0.637 & 0.534 & 0.390 \\ +adj. \(R^{2}\)& 0.555 & 0.555 & 0.536 & 0.634 & 0.533 & 0.389 \\ +\hline\hline +\multicolumn{7}{l}{\footnotesize Standard errors in parentheses}\\ +\multicolumn{7}{l}{\footnotesize \sym{*} \(p<0.05\), \sym{**} \(p<0.01\), \sym{***} \(p<0.001\)}\\ +\end{tabular} +} +\ + +\end{document} From c5f01ebb6c1ed3df3ab702ea521feea5e49ca5b9 Mon Sep 17 00:00:00 2001 From: Busra bahadir Date: Tue, 19 Jan 2021 22:50:12 +0300 Subject: [PATCH 2/2] =?UTF-8?q?BB-=C3=96DEV=202?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Ödeve ait pdf dosyası report klasörüne eklemiştir. --- "2020-fall/report/BB-\303\226dev 2.pdf" | Bin 0 -> 133316 bytes 1 file changed, 0 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