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https://orcid.org/0000-0002-4171-1234
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JEL: J24, J31
DOI: 10.52174/1829-0280_2022.1-159
1 Sb'u « орЬЬифрр, q|nL^ 19, 178, 1|Ьт 1:
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9-pw^wbmpjwb w^bwp^ U2^mmm4.mp5h mmppbpnLpjnLhhbph Jmuhh mb-unLpjmhp qmpqmgpb[ t U^mJ UJhpp ^bn ^mpbp mnmg: Uj^. mbunLpjmhp bhpm^.pmJ t, np ^jmhfh ^mJ mnn^nLpjmh hmJmp ^.smhqm^np m2^m-mmhfhbpp ^bmp t m^bih pmpSp ^.mpSmmp^bh, fmh n^ ^.smhqm^nphbpp2: Ujuop m2^mphnLJ ^mh pmqJmph4 $nLh^ghmhbp, npnhf h^mpmqpmJ bh m2^mmm4.mp5h mmppbpnLpjnLhhbpp: Uj^ ^mh^ghmhbph Jhgngn^ hhmpm-4np t LhhnLJ qhmhmmb[ mju ^mJ mjh bp^pmJ ^mJ ^mqJm^bp^nLpjnLhnLJ m2^mmm4.mp5h rnmppbpnLpjnLhhbpp U ^pmhg ^mm6mnhbpp: UrnnpU hbp-^mjmg^mS bh m2^mmm4mp5h mmppbp ^rnh^ghmhbp, npnhg Jhgngn^ ^mmmp^nLJ bh h2mhm^m[h hbmmqnmnLpjnLhhbp:
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ph mbunLpjnLhhg: Uju mbunLpjnLhh mnmghh mhqmJ fhhmp^b[ t ^nqbhp' 1974 p.,4 mjhnLhbmU1 1976 p.,5 hm U ^m[bpp Jhmuhh tJ^hphM b^mhm^n^
2 Sb'u Smith Adam, An Inquiry into the nature and causes of the wealth of nations, Book 1, Chapter 10, 1776:
3 Sb'u Liu Jin-Tan, Hammitt James K., Liu Jin-Long, Estimated hedonic wage function and value of life in a developing country, Economics Letters 57(3), Taiwan, 1997, t2 353-358:
4 Sb'u Rosen Sh., Hedonic prices and implicit markets: product differentiation in pure competition, The University of Chicago, Journal of Political Economy, Vol. 82(1), 1974, t2 34-55:
^npSmplbghh ftnqbhh mbunLpjnLhQ: <b^.nhhl W2^mmm4.mp5bph ^.bpLnL&nL-pjmh hwdwp mhhpmdb2m bh mjh^huh m^jmLhbp, hh^huhf bh m2^mmn^-hbph m2^mmm4.mp5Q, mj^. m2^mmmhfhbph 4mmhqm4.npnLpjmh mum^6m-hQ L mjLh: hb^.nhhl Jn^bLQ fhhmplnLJ t
^mmhqm^npnLpjnLhQ, ^mjJmhhbpQ L mjL hmmlmhh2hbp, npnhf lmpn^ bh qnjnLpjrnh nLhbhmL mmppbp hm Jm^pnLpjnLhhbpn^ nL Jmlmp^mlhbpn^.: Ujh m2^mrnm^mp5Q, nph m2^mmn^Q gmhlmhnLJ t ummhmL, mpmmgnLnLJ t m^jmL m2^mmmhfh mnmhShmhmmlnLpjnLhhbphg p^n^ oqmmlmpnLpjnLhQ: U^Nmmn^hbph mhmmppbpnLpjmh InpbpQ gnLjg bh mmLhu hpmhg QhmpnL-pjnLhQ m2^mrnm^mp5^ Jmlmp^mlh L m2^mmmmb^nLJ JmhmhmLnL hm^m-hmlmhnLpjmh JhgL: £mhh np m2^mmmmb^h m^mhn^nLpjnLhh mq^.mJ t ImqJmlbp^nLpjmh mpmm^pn^mlmhnLpjmh L Sm^ubph 4pm, hq.n^pn$hph l|npQ gnLjg t smLhu qnpSmmnLh QhmpnLpjnLhQ W2^mmm4.mp5bph L m2^m-mmhfmjhh n^ulbph JhgL: U.2Nmmm4.mp5h hb^nh^l ^rnhlghmh mpmmgnLnLJ t W2^mmnqhbph mhmmppbpnLpjmh L qnp&mmnLhbph' hq.n^pn$hph Inpbph JhgL IW^Q:
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InWi = g(Xti, Xji, Xsi) + Si, (1)
nprnb^'
InWi -h i-p^. m2^mmn^h W2^mmm4.mp5h phmlmh LnqmphpJh t,
Xn -h' i-p^. m2^mmn^h mnmhShmhmmlnLpjnLhhbpQ,
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£j-h' Jn^bLh U^WLQ: pLmjh^bph6 L Omhmlmjh7 2hnphh4 JbS mmpm&mJ t ummgb m2^m-smhfh 2mlmjh qhmhmmnLJQ Qum m2^mmn^hbph ub^h, nmumjh L tphh-Imlmh ^mmlmhbLnLpjmh: U^wsw^mpSbph mmppbpmlJmh m^bLh Qh^.-hmhnLp JnsbgnLJ gnLjg bh m^b LjmJmplQ8, Omhmlmh L O-mhunJQ9: Lpmhg w2^mmnLpjnLhhbpnLJ n^ ^mpmlmh W2^mmm4.mp5bph ImnnLg^mS-fQ qhmhmm^bL t bplnL mmppbp dn^n^p^mqpmlmh ^Jpbph Jhmuhmlmh Qhmpmhfh Jhgngn^.: Uju JnmbgnLJQ pnLjL t mmLhu ^mpmlmhnLpjmh pm-
5 Sb'u Thaler R., Rosen Sh., The value of saving a life: evidence from the labor market, Terleckyj Nestor E., Household production and consumption, 1976, tg 265-302:
6 Sb'u Blinder A.S., Wage discrimination: Reduced fom and structural estimates, J. Human Resources 8, 1973, tg 436-455:
7 Sb'u Oaxaca R.L., Male-female wage differentials in urban labor markets, International Economic Review 14, 1973, tg 693-709:
8 Sb'u Neumark D., Employers' discriminatory behavior and the estimation of wage discrimination, J. Human Resources 23, 1988, tg 279-295:
9 Sb'u Oaxaca R.L., Ransom M., On discrimination and the decomposition of wage differentials, J. Econometrics 61, 1994, tg 5-21:
^m^ph^p pmdmhb[ bpLnL Jmuh' qbpm[6mph ($m[nphshqJ) U pbpm[6mph (JmfnLp ^mpm^mhnLpjnLh)10:
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L^nlJ t bpLnL hpmphg smppbp JnsbgnLJhbp mjh Jmuhh, pb hh^bu t SUm-i[np[[nlJ Jmp^Lmjhh Lm^hmm[ bLmJnLshbph ^rnhLghmh: ^pmhghg JbLp fhhmpLnLJ t LppnLpjmhp [bpm^.mnhm|nL JmLmp^mLp' np^bu mhhmsmLmh hmmnLL ^mpmJbmp: Um bhpm^.pmJ t, np mhhmmhbph nLhbh «Jmp^Lmjhh Lm^hmm[ mpmm^pn^mLmhnLpjmh ^rnhLghm», nph nLhh hbmUjm[ |nqmphp-JmLmh qSmjhh mbufp.
lnyt = lnyoi + PiSi, (2)
npmb^ y0i-h U Pi-h i-p^ mhhmmh Lmpn^nLpjmh ^mpmJbmpbph bh: y0i-h hmJmp[nLJ t mhhmmh' bLmJnLs usmhm|nL, huL Pi-h' LppnLpjnLh usmhm|nL Lmpn^nLpjnLhp:
bpb LppnLpjnLhp hmJmp[nLJ t tLqnqbh npn2[mS, huL Jn^b[p qhm-hmm[m6 t hbmUjm[ nbqpbuhnh hm[mumpJmh Jh2ngn[.
Inyt = Po + Pis + Ui, (3)
m^m p0 -h U -p, hmJmцmmmu^mhmpmp, mpsmgn|nLJ bh bLmJnLs ummhm[nL Lmpn^nLpjmh Jh2hh JmLmp^mLh U LppnLpjmhp [bpm^.mnhm|nL ^mpmJbmph Jh2hh mpdbf h qhmhmmmLmhhbpp, mjuhhfh' fi0 = E(lnyt) U = E(pi): Ui-h Jn^bLh Jhmgnp^hbph bh, npnhf npn2[nLJ bh hbmUjm[ Lbp^.
Ui = (lnyoi - lny0) + (Pi - p^i + Vi, (4)
npmb^ E(lny0i) = lny0 U E(p) = p , huL Vi -h hbpmnmJ t u^m[h ^m^h U dmJmhmLm[np bLmJnLshbph pm^m^ph^hbph mq^bgnLpjnLhhbpp: ^bmf t hLmmh nLhbhmL, np urh hbmbpnuLb^mumhL t, fmhh np ^pm ^u^bpuhmh LppnLpjmh m6n^ $mhLghm t: fa"[nLJ t, pb (3) LppnLpjmh Jn^b[p hmJ-phLhnLJ t ^hh^bph hbmmqnmnLpjmh hbm, umLmjh hm bLmJnLshbph |nqm-phpJmLmh qSmjhh ^rnhLghmh ummgb[ t pn|npn[hh mj[ 6mhm^mphn[: Lpm Jbpn^p hbmUjm[h t. bhpm^pbhf' s-p U (s + d)-h LppnLpjmh mmppbp Jm-Lmp^mLhbp bh, npnhf mmppbp[nLJ bh d mmpn[, huL y(5)-p U y(s + d)-h bpLnL LmjnLh bLmJnLmhbp bh, npnhf, ^huLnhmm[np[b[n[ r snLnum^pny-fn[, hbpLm mpdbfn[ hpmp hm[mump bh: Uj^ bLmJnLshbph hbpLm mp-dbfhbpp npn2[nLJ bh 7(s) = ae-rs/r U 7(s + d) = ae-r(s+d)/r pmhmSUbpn[, nprnb^ a = (1 - e-rn)-h m2^mmmhfmJhh Ljmhfh sUn^nLpjnLhhg (n) Lm^-[mS 62qpsn^ qnpSmLhg t: £m[mumpbghb|n[ mju hbpLm mpdbfhbpp U Lmsmpb|n[ npn2 SUm^n^nLpjnLhhbp' Lusmhmhf hbsUjm[ mnh^nLpjnLhp.
y = y0ers, (5)
nprnb^ y0 = rV(s): LLmsbhf, np y0-h Lmpn^ t JbLhmpmh[b[ np^bu m2^m-sn^h J2smLmh bLmJnLs, nLJ pmpbLbgnLpjnLhp 7(s) t: LnqmphpJb|n[ (5) hm[mumpJmh bpLnL Ln^Jbpp' Lusmhmhf LppnLpjmh ^hh^bph ^nLhLghmh.
10 Sb'u Neuman Sh., Oaxaca R.L., Wage decompositions with selectivity-corrected wage equations: A methodological note, Journal of Economic Inequality, 2004:
11 Sb'u Willis R.J., Wage determinants: A survey and reinterpretation of human capital earnings functions, University of Chicago and Economic research center, 1986, t2 525-602:
12 Mincer J., Education, experience, and the distribution of earnings and employment: an overview, Juster F. Thomas ed., Education, income, and human behavior, ISBN: 0-07-010068-3, 1975, t2 71-94:
Iny = lny0 + rs: (6)
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Uhh^bpQ 1974 p4.mlmhhh LnqmphpJmlmh m2^mmm4mp5bpQ umhJm-hbg np^bu IppnLpjmh L ^np^h $nLhlghm' hhJh4mS mbumlmh mbqblmm-^nLpjmh L tJ^hphl mp^.jnLhfhbph 4pm: Uhh^bph' W2^mmm4mp5h hm^m-umpJmh umbq&mJhg hbmn mbqh t nLhbgbL Jhlpnm4jmLhbph L qhmhmmJmh mb^hhlmhbph tmlmh Qh^wjhnLJ: U.2Nmmm4mp5h $nLhlghmhbph tJ^hphl nLunLJhmuhpnLpjnLhhbpQ m4bLmgbL bh mj^ pmpbLm4nLJhbphh qmqmhbn: npn2 nLunLJhmuhpnLpjnLhhbpnLJ W2^mmm4mp5h Jn^bhbpQ qhmhmm4bL bh mmppbp ^nLhlghnhmL 5Lbpn4: hh^bu Uhh^bph' W2^mmm4mp5h ummh-^mpm hm4mumpJmJp, mjh^bu tL 2mm wjl nLunLJhmuhpnLpjnLhhbpnLJ m2-^mmm4mp5h Jn^bhbpQ qhmhmm4bL bh fmnmlnLumjhh mbufn413:
Mppmlmh Jmlmp^mlh L W2^mmm4mp5h JhgL ^n^hmpmpbpnLpjnLh-hbphh h4hp4mS tJ^hphl nLunLJhmuhpnLpjnLhhbph JbS Jwuq hhJh4mS t lppnLpjmh, ^np^h L blmJnLmhbph' Uhh^bph hm4mumpJmh 4pm: U"hh^bpQ qhmhmmbL t blmJnLmhbph phmlmh LnqmphpJQ np^bu ^rnhlghm' lm^4m& lppnLpjmh mmphhbphg L m2^mmnLdh m2^mmmhfmjhh ^np^hg: Uhh^bpjmh W2^mmm4mp5h Jn^bLQ ummh^mpm mbufn4 hbmLjmLh t.
InWi = a0 + a1NSi + a2EXPERi + a3EXPERf + (7)
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13 Sb'u Ebru Caglayan Akay, Estimation of Mincerian wage equation in Turkey: a semiparametric approach, EconWorld, Barcelona, Spain, 2016:
14 Sb'u https://www.armstat.am/am/?nid=212
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SqwJwpi^ - - 57.9 42.1 77.7 22.3 27.5 72.5 100
Mhb - - 62.5 37.5 63.5 36.5 35.7 64.3 100
53.0 47.0 - - 69.0 31.0 37.3 62.7 100
9-jnLI^ 57.7 42.3 - - 74.7 25.3 22.1 77.9 100
UJnLub. 59.8 40.2 58.1 41.9 - - 30.5 69.5 100
QmJnLub. 42.6 57.4 64.7 35.3 - - 33.0 67.0 100
PmpSp. Lpp. 48.4 51.6 71.7 28.3 69.6 30.4 - - 100
n^ pmpSp. Lpp. 57.8 42.2 54.7 45.3 72.0 28.0 - - 100
Cb^mJbbp (%) 54.8 45.2 60.0 40.0 71.3 28.7 31.2 68.8 100
(Jwp^) 3,769 3,106 4,123 2,752 4,900 1,975 2,146 4,729 6,875
U^pjnLpQ' hhqfihwLti hw2lwpLhbp' « ipljwthkpfi hfidwh ilpui:
<bsmqnsmpjmb hmJmp np^bu s4jm|bbph m^pjrnp pbsp4m& pmqmb LmqJ^mS t 27,854 ^smpLnLJbbphg, umLmjb pmqmb J2mLb|nLg hbsn ^h-smpLnLJbbph ph4p T-wp5b| t 6,875: Pmqmjh s4jm|bbph hhJmb 4pm hm2-4mpL4b| bb hmpg4m&bbph LppnLpjmb smphbbpp (NS), m2^imsmbpmjhb ^np-Sp (EXPER) U Jh2hb mJumLmb m2^msmdmJbpp (WH): Uju bpbfp U m2^im-sn^bbph smphfp (AGE) mnmb5bmg4b| bb np^bu fmbmLmLmb ^n^n^imLmb-bbp, huL mbSmbg ubnp (GENDER), pbmLm4mjph sbumLp (UR), mJnLubmLmb Lmpqm4h^mLp (MARITAL), m2^msmbfh J2smLmbmpjnLbp (PERM) U T-pnLJfp (FT) np^bu Lb^6 ^n^n^mLmbbbp:
U4b|h phpm^mjh^ 4bp|nL&nLpjm^ hmJmp, pmgh usmg4m& hhJbmLmb pmqmjhg, LmnnLg4b| t s4jm|bbph Uu bpLnL pmqm, npnbf smppbpmL4nLJ bb hmpg4m&bbph LppmLmb JmLmp^.mLn4: PmpSpmqnLjb LppnLpjmb rnbbgn^bb-ph Ph4D pmqmjnLJ 2,146 t, huL ^nLbbgn^bbphbp 4,729: U^jmumL 1-nLJ bbpLmjmg4m& t m2^mmmbfmjhb pmqmbbpnLJ dnqn4pn-mqpmLmb ^msLbpp:
Cb^hmbnLph 54.8%-p LmqJnLJ bb s^mJmp^hL, 60%-p pm^wpmpbmL bb, 71.3%-p mJmubmgmS bb, huL pmpSpmqnLjb LppnLpjrnb nLbbb pb^mJbbp 31.2%-p: S^mJmp^Lmbg p4mJ pm^mpmpbmLbbpp LmqJnLJ bb Jnm 58 sn-Lnu, huL Lmbmbg p4mJ' 62.5 snLnu: S^mJmp^Lmbg p4mJ Jh2hbhg pmpSp t mJnLubmgmSbbph ph4p (77.7%), huL Lmbmbg p4mJ mJmubmgmS t 63.5%-p: S^mJmp^Lmbg Jns 73%-p ^rnbh pmpSpmqnLjb LppnLpjrnb: £m^m-fmpbmLbbph p4nLJ mJmubmgmS t 69%-p, huL qjnL^mghbbph p4mJ' Jns 75%-p: ^jnL^mghbbph pb^mJbbp 22%-b nLbh pmpSpmqnLjb LppnLpjmb: PmpS-pmqnLjb LppnLpjnLb mbbgn^bbph p4mJ qbpmL2^nLJ bb Lmbmjf (51.6%), huL bpmbg 71.7%-b m^pmJ t pm^mfbbpmJ:
U"Uß-bU"USh4U4UL SLSbUU4-hSn^3nhb 165
4Ьр[ш0шр;|тЬ: 'Ъш^nprç. pшd^nLJ ^p^^g^gh^ ш2^шmш4шpöh ^ш-^prçwlh фш шqrç.nq ш^ qnpönhhЬpD, npnhp D^sp^L ЬЬ ш2^штш4шpöh dш|шprç.ш|h qhшhштdшh hшdшp: иш|ш^ ш^ qnpönhhЬpD ^pnq ЬЬ |n-п^шд^шб Lh^L dhd^hg hЬm: Ujrç. щштбшт^ Ьш^' t |ппЬуш-
ghnh dштphgD, npp gnLjg t тшLhu, np фnpÖQ ^hus |n-
п^шдЦшбш^шЬ JЬ2 t qsh^nLd тшph£hg, h^D Lhn^h^ тpшdшpшhш|шh t: <ЬтUшpшp' ш^ Ьp|nLUD ^ЬЬ ^pnq qhшhшт4ЬL JhшdшJш^ш| U hшhrç.h-uшhnLd Ь^ dhd^hg ШJLD^spш^f:
Я-hшhшm4nrç. dn^^p^ т^ЬЬ hЬmUJШL D^T^^mp тЬu£D.
lnW¡ = ß0 + ß1Xli + ß2X2i + ■■■ + Ei i = T,: (8)
Я-hшhшmnLdhЬpD u|uЬ^f D^T^^mp pшqшJhg: qhшhштЬh£
U"hti^ph dnrç^LD' п.шuш|шh mЬufn4.
{1) InWi = ß0 + ß1NSi + ß2EXPERi + ß3EXPER? + Ei i = 1,681$, (9) Я-hшhштdшh шprç.JnLh£hЬpD gnLjg Ь^ mшLhu, np D^sp^ö qnpönhhЬph шnшhöhh-шnшhöhh ^2Ш^ш|шLh Ь^, uш|шJ^ rç.ЬтЬpdhhшghшJh 02qprn^ô qnpöш|hgD pш4ш|ш^h^ gшöp t' 0.07:
LЬpdnLÖЬh£ Ш2^шmnq^Ьph uЬпD phnL^qpnq qnpônhp, npp ^pnq t шqrç.ЬgnLpjnLh nL^^L ш2^штш4шpöh dш|шprç.ш|h фш: (2) InWi = ßo + ßiNSi + ß2EXPERi + ß3EXPER? +
+ß4GENDERi + Ei i = 1,6875 (10)
Uju dn^Lh qhшhштdшh шprç.JnLh£nLd rç.ЬтЬpdhhшghшJh Ó2qpт4шö qnpöш|hgD tш|шhnpЬh pшpÖpш^nLd t' hшuhЬLn4 0.17-h, hu| pnLnp qnpönh-^ph ^2Ш^ш|шLh Ь^: иш h2шhш|nLd t, np uЬпD pш4ш-
|ш1ф1| dЬö шq^ЬgnLpJnL^ тф ш2^штш4шpöh dш|шprç.ш|h фш, uш|шJ^ um ^.Ьп pш4шpшp ^t Ьqpш|шgnLpJnL^^Ьp шЬ^ш hшdшp, ршф np Ш2^ш-mш4шpöh dш|шp^ш|D 83 rnn^nun^. pшgштpфLd t ШJL qnpönhhЬph dhgn-
gn4:
U2Nшsш4шpÖh dш|шp^ш|h фш шqrç.ЬgnLpjnLh ^pnq t п^Ь-
d2mш|ш^ phnLjpD: Oph^|' uЬqn^ШJh^ Ш2^штшh£hЬph ^^fmd шduш|шh Ш2^шmш4шpÖЬp^ шд Ь^: Ц^штш^^ T-pnLJfD hnLjh-^u ^pnq t dЬö ^2Ш^ш|nLpJnL^ npn4hЬmU Lph4 ^pnLJfn^. ш2^ш-
mш^f^ЬpD un4npшpшp ш4ЬLh pшpöp Ь^ ^wpärnmp^nLd, рш^ |Ьu ^pnLjfn^. Ш2^шmш^f^ЬpD: Uju шdЬ^D hш24h шп^ЬLn4' dn^ЬL hЬpdnLÖЬh£ gnL-
gш^h2^Ьp^ шpmшhшJmnq фnфn^ш|ш^^Ьp: LЬpdnLÖЬ^f ^шЦ Ш2^ш-тш^рш^Ь dшdЬph gnLgш^h2D, npD |шpnq t шqrç.ЬgnLpjnLh nL^Ь^ШL ш2^ш-mш4шpöh 4.pш, fш^h np 2шт ^^^p^d шpтшdшdJШ Ш2^ш-
тш^рр, h^^чЬu hrnU Ьp|pnp^. qpшq4шönLpJnL^D ш4ЬLшg^nLd Ь^ ш2^штш-4шpÖh ^шфр:
(Ъ) InWi = ß0 + ß1NSi + ß2EXPERi + ß3EXPERf + ß4GENDERi +
+ß5PERMi + ß6FTi + ß7WHi + Ei i = 1,6875 (11)
П-ЬтЬpdhhшghшJh 02qpm4rnö qnpörn|hgk rnju ^^fmd 0.32 t, uш|шJ^
фnpö^ ШJLUu ^2Ш^ш|шLh qnpôn^ ^t: <Ьпшg^ЬLn4 dn^ЬLhg Ш2^штш^fШJh^ фnpÖD U ^pш fшпш|nLuh^' ^Ьp-dnLÖЬ^f Ш2^штnфЬph тшphfD p^nLpшqpnq qnpön^D, h^^чЬu hrnU ^pш fшпш|nLuh^:
(4) lnWt = p0 + PiNSi + p2AGEi + p3AGEf + p4GENDERt +
+psPERMi + p6FTi + pnW Hi + £i i = 1,681 5 (12)
Un^bLh qbmhmsJmb mp^jrnbfbbpp pm4mLmbhb pmpb|m44nLJ bb: Pn|np qnp&nbbbpb mnmbShb-mnmbShb b2mbmLm|h bb, huL H-bsbpJhbm-ghmjh 62qps4m6 qnp&mLhgp 0.32 t, hb^p b2mbmLnLJ t, np <mjmusmbmJ m2^msm4mp^h JmLmp^mLh 4mphmghmjh 32 snLnup pmgmsp4nLJ t mju qnp&nbbbph ^n^n^mpjmJp:
Cb^hmbpm^bu, Jmp^nL mJnLubmLmb Lmpqm4h^mLp Uu Lmpn^ t mq-
m2^msm4mp^h JmLmp^mLh 4pm, fmbh np JhmjbmL Jmp^p Lmpn^ t pm4mpmp4b| gm&p m2^msm4mpSn4 U ^Sqsb| m4b|hhb, huL mJmubmgmS Jmp^Lmbg ^.bufmJ m4b|mbnLJ bb unghm|mLmb ^b^hpbbpp, npnbf t| ush-uunLJ bb Jmp^Lmbg qmpqmgbb| hpbbg m2^msmbfmjhb Lmpn^nLpjnLbbbpp U Sqsb| m4b|h pmpSp m2^msm4mp&h: Un^b|nLJ bbpmnbbf bmU m2^m-sn^bbph mJnLubmLmb Lmpqm4h^mLp pbmpmqpn^ ^n^n^mLmbp U qbmhmsbbf hbsUjm| Jn^b|p.
(5 ) InWi = p0 + p±NSi + p2AGEi + p3AGEj + p4GENDERt + +PSPE RMi + P6FTi+ P7W Hi + p8M ARITALi + £t i = 1,6815 (13)
<mjmusmbmJ m2^msm4mp&h JmLmp^mLh 4pm Lmpn^ t mq^bgnL-pjnLb nLbbbm| mjb, pb Jmp^p npsb^ t pbmL4nLJ: £mbh np m2^msmsb^bph Jb6 Jmup sb^mLmj4m6 bb fm^mfmjhb pbmLm4mjpbpnLJ, huL qjnL^mpbmL-bbpp hhJbmLmbnLJ qpm^4nLJ bb qjnL^msbsbumLmb qnp&mbbnLpjmJp, nLu-sh Jmp^nL pbmLnLpjmb 4mjpp Lmpn^ t LmpUnp qnp&nb |hbb| m2^msm4mp-Sh JmLmp^mLp qbmhmsb|nL hmJmp: Lbpmnb|n4 mj^ gnLgmbh2p pbnLpm-qpn^ ^n^n^mLmbp' qbmhmsbbf hbsUjm| Jn^b|p.
(6) InWi = p0 + P±NSi + p2AGEi + p3AGE2i + P^GENDERi + psPERMi +
+P6FTi+p7WHi + psMARITALi + PgURi + ^ i = 1,6815 (14)
Uju U JbmgmS pn|np qnp&nbbbpp mnmbShb-mnmbShb b2mbmLm|h bb (mJnLubmLmb Lmpqm4h^mLh qnp&nbp b2mbmLm|h t 10% b2mbmLm|hnLpjmb JmLmp^mLnLJ), huL ^bsbpJhbmghmjh 62qps4m& qnp&mLhgb m4b|h fmb 0.33 t:
L24m6 qnpSnbbbph pmqJmph4 mj| hmJmLgnLpjmJp Jn^b|bbph qbm-
hmsnLJbbpp gnLjg s4bghb, np, pbpUu, |m4mqnLjbp 6-p^ Jn^b|b t, nph ^bu-fnLJ pmgmsp4nLJ t m2^msm4mpSh JmLmp^mLh ^n^n^mpjmb m4b|h fmb 33 snLnup: ^-bmhms4m& pn|np Jn^b|bbph tJuhphL mpqjnLbfbbpp bbpLmjmg4m6 bb mqjmumL 2-nLJ:
4bpmLmbqbbbf qbmhms4m& 6-p^ Jn^b|p.
(6) InWi = 9.1 + 0. OSNSi + 0. OlAGEi - 0. 00002AGE:f + 0. 3GENDERi + +0.08PERMi + 0.48FTi + 0. OOlWHi + 0.13URi i = I^IS: (15)
Usmg4m6 qnpSmLhgbbpp JbLbmpmbb|nL hmJmp mbhpmdb2s t ^pmbf 62qpsb| pus hbsUjm| hm4mumpJmb.
pk = (ePk - l) • \QQO/0 k = (y,j, (16)
npsb^ fi-p qbmhmsJmb wp^jnLbfnLJ usmg4m6 qnp&wLhgbbpb bb, ¡3-p' 62qps4m6 qnp&wLhgbbpp, huL nbqpbunpbbph fmbmLp:
UqjnLum^ 2
O-hiuhiuiptfiud dnq.b[hbpfi ktyfipfity wpqjmbfbbpp*
1 2 3 4 5 6
C 10.9 (0.00) 10.6 (0.00) 9.9 (0.00) 9.8 (0.00) 9.7 (0.00) 9.7 (0.00)
NS 0.04 (0.00) 0.05 (0.00) 0.05 (0.00) 0.05 (0.00) 0.05 (0.00) 0.05 (0.00)
EXPER 0.00 (0.00) 0.00 (0.00) 000(0.2) - - -
EXPER2 -0.00 (0.00) -0.00 (0.00) -0.00 (0.00 - - -
AGE - - - 0.01 (0.00) 0.01 (0.00) 0.01 (0.00)
AGE2 - - - -0.00 (0.00) -0.00 (0.00) -0.00 (0.00)
GENDER - 0.39 (0.00) 0.29 (0.00) 0.29 (0.00) 0.30 (0.00) 0.30 (0.00)
PERM - - 0.09 (0.00) 0.09 (0.00) 0.09 (0.00) 0.08 (0.00)
FT - - 0.51 (0.00) 0.51 (0.00) 0.51 (0.00) 0.48 (0.00)
WH - - 0.00 (0.00) 0.00 (0.00) 0.00 (0.00) 0.00 (0.00)
MARITAL - - - - -0.03 (0.03) -0.03 (0.08)
UR - - - - - 0.13 (0.00)
adj. R2 0.07 0.17 0.32 0.32 0.32 0.33
Prob (F-stat) 0.00
0.00
0.00
0.00
0.00
0.00
* ifiwtywqdbpmd ti24uid bh t hwlwhwtywhmpjmhhbpp:
UqpjnipQ* hbqfihwtyfi hw2lwptyhbpp' « ipljwthbpfi hfidwh ipui:
Ub^hwpwhbhf urnwg^wS wp^jrnhfhbpQ: hh^bu wp^bh h2^bg, wju pn[np qnp&nhhbpQ Jhwuhh pwgwmpmJ bh w2^wmw4.wp5h Jw^wp^.w^h ^n^n^mpjwh 33%-q, hu^ bpb ^swp^khf jnLpwfwhynLp qnp&nhh wq^.b-gnLpjnLhQ, w^w ^wpnq bhf wubL, np ^ppmpjwh jnLpwfmh^jnLp Lpwgmgh^ mwphh, wjl hw^wuwp ^wjJwhhbpmJ, w^wghmJ t w2^wmw^wp5Q 5.1%-n^, hh^Q ^wpbLh t hwJwpb[ [w^. gnLgwhh2: 2013 p. Mwhw^.wjh w2^wmmdh hwJwp ^wrnwp^wS hbrnwqnrnnLpjnLhQ gnLjg t s^bL, np ^ppmpjwh jnLpw-
fwhyrnp [pwgnLgh^ mwphh w2^wmw4.wp5h w^wghmJ t 8.5%-n^15:
wnhb|n4 wjh, np Mwhw^wjh ^ppw^wh hbpnLdQ 2ws Jb6 t, ^wjwurnwhmJ 5.1%-q, hpnf, 4.ws gnLgwh^2 ^t: UJuw^wh Jb^ dwJ hw^bywL w2^wmwhfQ w2^wmw4.wp5h Jw^wp^w^Q pwpSpwghmJ t Jns 0.2%-n^, hu^ opw^wh Jb^ dwJ hw^bywi w2^wmwhfQ wJuw^wh w2^wmw4.wp5Q pwpSpwghmJ t w^b[h fwh 4.5 mn^nun^.: £wm mpwJwpwhw^wh t, np [ph4 T-pnLJfn^ w2^w-mnqhbpQ umwhnLJ bh 61.3%-n^ w^h 2ws w2^wmw4.wp5, fwh ^bu ^pnLj-fn^ w2^wmnqhbpQ: U2mw^wh w2^wmwhf rnhbgnqhbph w2^wrnw^wp5Q 8.0 mn^nun^ w^bih t n^ J2mw^wh w2^wmwhf rnhbgnqhbph w2^wmw^.wp-5hg: hh^ ^bpwpbpnLJ t w2^wmnqhbph ubnhh, w^w mqwJwp^h^ ^whwh-ghg 35.7%-n^ w^h bh ^.wpSwmp^nLJ, hu^ fwqwfwphw^hbpQ 13.4%-n^ w^h, fwh qjmqwphw^hbpQ: UJnLuhwgw&hbpQ ^.wurnw^mJ bh Jnm 2.6%-n^ w^bih fhi, fwh ^w JnLuhwgwShbpQ: UJnLuhw^wh ^wpqw^h^w^h wq^bgnLpjnLhQ w2^wmw4.wp5h Jw^wp^w^h 4pw ^wpb[h t ^hmwp^b[ hwU wjl rnbuwh^|nLhhg: Uhwjhw^ Jwp^h nLhh pw^wpwp dwJwhw^ hpbh h^hpb[nL w2^wmwhfhh: Mwphbpwh hpw ^wjwgJwh U hhfhwhwumwmJwh Jhw^ Jhgw^wjph t, hu^ wJmuhwgwS Jwp^h^ ^wphbpwjmJ ^.puUnp^bLnL Jb6 gwh^nLpjrnh U dwJwhw^ ^wpnq bh ^nLhbhwL: Ujuhhfh, Jh ^nqJhg' pwpSp b^wJmmhbp nLhbhwLnL ^whwhgh t, hu^ JjnLu ^nqJhg' wn^w bh Jpgw^gmpjwh whhw^wuwp ^wjJwhhbp, hh^h ^wm6wnn4 wJnLuhwgwS
15 Sb'u Anderson Siwan, Linear regression analysis, Econ 495 - Econometric Review, 2013:
dшprç.Lшhghg 2шmЬpQ ^bh Lшpn^ Jpgb[ LшphЬpш ^nnLgnrçhbp^ hbs, n^fbp hhdhшLшhnLd dhшJhшL bh: ^ЬшНшт^шЬ шprç.JnLh£hЬpQ gnLjg
bh тш[^и, np mшph£h шбр ш4Ь|шghnLd t Ш2^шmш4шpÖQ 1.2 rnnLnun^., иш^ш^ npn2шLh hbsn Ш2^шmш4шpÖQ u^umd t h^qb[
(mшph£h ^^LnLunL hшdшp итшд^шб qnpöшLhgh nLhh pшgшuшLшh
LLшpшqp4шö hЬmшqnmnLpjnLhQ Lшmшp4ЬL t Ш2^шmnLdh nLunLdhш-uhpnLp^h Qhrç^hnLp pшqшJh фш, nprnb^ ^ш^ hpшphg pш4шLшhhh hbnnL unghш|шLшh ^hppbpmd qmh^n^ Op^^L' hЬpшn4.шö bh n^ qpш-
óшhш^hЬphg dhh^U pшpÖpшqnLJh U hЬmpnLhшLшh LppnLpjmh rnhbgn^ dшp-rçhL, hh^Q, шh2nL2m, pnLj[ ^h hшhqЬL hш4шumh ЬqpшLшgnLpjnLhhЬph:
Ujrç. щшш6шпп4 t[ hЬmшqnmnLpJnLhQ шhgLшg4ЬL t hшU LppшLшh mшppЬp dшLшp^шL rnhbgn^ Ш2^шmnLdh hшdшp:
hЬmшqnmЬhf pшpÖpшqnLJh LppnLpjrnh ^mhbgn^ Ш2^шmnLdQ: Uju rçb^pnLd ^hmшpLnLdhЬph ph4.Q 4,729 t: Я■hшhшmЬh£ Uhh^bph dnrç.b|Q ^.ш-uшLшh mbupn^..
{7> InWi = ß0 + ß±NSi + ß2EXPERi + ß3EXPERf + £¿ i = 1,4729: (17)
Я-hшhшmdшh шp^JnLhfhЬpQ gnLjg bh mшLhu, np pшpÖpшqnLJh LppnL-pjrnh ^rnhbgnrçhbph 2P2шhnLd LppnLp^h mшphhЬph ph4.Q n^ h2шhшLшLh qnpônh t, uшLшJh 4.usшh Lшpn^ bhf np tшLшh mшppЬpnLpjnLhhЬp
^h mшppшLшh, hhdhшLшh, dh2hшLшpq U dh2hh dшuhшqhmшLшh LppnL-pjrnh rnhbgnrçhbph dhgU: nLumh, rç.bnUu щшhщшhЬ|n4 ш^ qnpônhp, dnrç.b[ hbpdmôbhp ш2^шmn^hЬph ub^Q phnL^qpn^ qnpônhp.
{8> InWi = ß0 + ß1NSi + ß2EXPERi + ß3EXPERf +
+ ß^GENDERi + £i i = 1,4729: (18)
П-ЬmЬpdhhшghшJh 02qprn^ô qnpöшLhgQ G.13 t, шJuhhfh, ш2^штш-^pöbph 87 mnLnuQ pшgшmp4nLd t шд qnpônhhbpn^.: huL qnpônhhbpp, ш^ p^nLd U LppnLp^h mшphhЬpQ, шnшhöhh-шnшhöhh h2шhшLшLh bh:
Unrç.b|nLd ш4Ь|шghЬh£ ш2^шmшhfШJhh щшJdшhhЬpQ phnL^qpn^ qnp-ônhhbpQ, hh^4huhe bh ш2^шmшhfh d2mшLшhnLpJnLhQ, rç.pnLj£Q U шduшLшh Ш2^шmшdшdЬpQ, hh^h шprç.JnLh£nLd dnrç.b|Q LnLhЬhш hЬmUJШL rnbupQ.
{9> InWi = ß0 + ß1NSi + ß2EXPERi + ß3EXPERf + ß4GENDERi +
+ß5PERMi + ß6FTi + ß-jWHi + £i i = 1,4729: (19)
U2^шmшhfШJhh щшJdшhhЬph ш4Ь|шgnLdhg hbsn ^ЬmЬpdhhшghшJh 02qprn^ö qnpöшLhgQ tшLшhnpЬh pшpÖpшhnLd t' hшuhЬ|n4 G.31-h, huL qnpönhhbph шnшhöhh-шnшhöhh h2шhшLшLh bh pn[np dшLшp^шLhЬpnLd:
U4ЬLшghЬhf шdnLuhшLшh Lшpqш4h6шLQ phnLpшqpn^ qnpônhp U qhшhшmЬhf hЬmUJШL dn^b[Q.
{10> InWi = ßo + ßiNSi + ß2EXPERi + ß3EXPER} + ß4GENDERi +
+ß5PERMi + ß6FTi + ß7WHi + ß8MARITALi + £i i = 1,4729: (2G)
Я-hшhшmdшh шp^.JnLhfhЬphg щшpq t ^шnhnLd, np шdnLuhшLшh Lшp-qш4h6шLQ ШJu rçb^pnLd n^ h2шhшLшLh t, ШJuhhfh' щЬтр t hЬnшghЬL dn-^b[hg: U4b|mghb|n4 phшLш4шJph mЬuшLh qnpönhp' qhшhшmЬhf hbmU^L dn^b[Q.
<11> InWi = ß0 + ß1NSi + ß2EXPERt + ß3EXPERj + ß4GENDERt +
+ß5PERMi + ß6FTi + ß7W Hi + ß8U Ri + Ei i = 1,4-729: (21)
Un^bih qhwhwmJwh wp^jnLhfhbpn^ H-bsbpJh^wghwjh Ö2qpm4.w& qnpöw^hgQ hwuhmJ t 0.32-h, hu^ qnpönhhbph wnwhöhh-wnwhöhh ^whw-^w[h bh:
L2^wö qnpönhhbph pwqJwph^. wjl hwJw^gmpjwJp Jn^.b|hbph qhwhw-rnnLJhbpp gnLjg rn^bgh^, np, pbpLu iw^wqnLjhQ 11-p^ Jn^.b|h t, npp pwgwm-pnLJ t Jh2h^ ^ gwöp ^ppnLpjnL^ rnhbgnqhbph w2^wmw4.wpÖbph 32 mn^n-up: ^whwm^wö pn|np Jn^.b|hbph tJ^hph^ wp^jnLhfhbpp hbp^wjwg^wö bh wQjnLuw^ 3-rnd:
UqjnLum^ 3
O-hiuhiuiptfiud dnq.b[hbpfi kdi^fipfä wpqjmbfbbpp*
7 S 3 10 11
C MC 11.3 (0.00) n nn /n /in\ 10.8 (0.00) n no /n nn\ 10.2 (0.00) n no /n nn\ 10.2 (0.00) n no /n nn\ 10.2 (0.00)
NS EXPER 0.00 (0.09) 0.02 (0.00) 0.01 (0.00) 0.02 (0.00) 0.00 (0.04) 0.02 (0.00) 0.00 (0.03) 0.0I (0.03) 0.00 (0.02)
EXPER2 -0.00 (0.00) -0.00 (0.00) -0.00 (0.00) -0.00 (0.00) -0.00 (0.00)
AGE ÄPF2 - - - - -
AGE GENDER DFDK/1 - 0.39 (0.00) 0.29 (0.00) n flfi /n 0.29 (0.00) n riß /n nn\ 0.29 (0.00) n riß i(\ nn\
PERM FT \A/|_| - - 0.08 (0.03) 0.53 (0.00) n nn (n nn\ 0.08 (0.00) 0.53 (0.00) n nn (f\ nn\ 0.06 (0.00) 0.49 (0.00) n nn i(\ nn\
WH MARITAL 1 1D - - 0.00 (0.00) 0.00 (0.00) -000(0661 0.00 (0.00) n 11 /n nn\
UR adj. R2 0.04 0.13 0.31 0.31 0. II (0.00) 0.32
Prob (F-stat)
0.00
0.00
0.00
0.00
0.00
* ifiwtywqöbpmd ti24uiö bh t itfißwtywhfihbpfi hwlwhwtywhmpjmhhbpp: U^pjnLpQ' hbqfihwtyfi hw2lwptyhbpp' « ipljwthbpfi hfidwh ipui:
4bpw^whqhbhf qhwhwm^wö 11-p^ Jn^.b|Q.
<11> tnWi = 10.2 + 0. OlNSi + 0. OOSEXPERi - 0. 0002EXPER} + +0.29GENDERi + +0. 06PERMi + 0.49FTt + +0. OOlWHi + 0. HURi i = 1,4129: (22)
Ö2qpsb|n4 umwg^wö qnpöw^hg^bpp (16) pwhwÖLn^ Jb^hwpwhbhf umwg^wö wp^jnLhfhbpp: hh^bu wp^bh ^^bg' Q^qp^wö qnpönhhbpp pwgwmpmJ bh wju ^Jph w2^wrnw^wpÖbph ^n^n^nLpjwh 32 mn^nup: Ujumbq ^ppmpjwh jnLpwfwhymp ipwgmgh^ rnwph^ w^biwghnLJ t w2^w-rnw^wpöp 1.3, huL| wJuw^wh Jb^ dwJ hw^bywL w2^wrnwhfQ1 0.2 mn^nun^ (opw^wh Jb^ dwJ hw^bywi. w2^wmwhfQ w^biwghnLJ t wJuw^wh w2^w-rnw^wpöp Jnm 4.6 mn^nun^): U^wmwhfwjh^ ^npöh' Jb^ rnwpn^. w4.b|w-gnLJp, pwpÖpwghmJ t w2^wrnw4.wpÖp Qh^wJbhp 0.5%-n^., hu^ w2^w-mw^fwjh^ pw^w^w^h^ Jbö ^npöh ^b^fnLJ, ^wjJwhw^np^wö whhwmh rnwphfn^., w2^wrnw4.wpÖp u^umJ t h^wqbi; Uph4 T-pnLJfn^ w2^wrnnqhbpp 63.0 mn^nun^ w^bih bh 4wpÖwmp4.nLJ, fwh ^bu ^.pnLjfn^ w2^wrnnqhbpp, huL| J2mw^w^ w2^wmwlf nLhbgnqhbpQ1 6.4 mn^nun^ w^bih, fwh ^rnhb-
gnrçhbpQ: hh^ 4.ЬpшpЬpnLd t Ш2^шmn^hЬph ubnhh, mrçшdшprç.hL 34.1 mnLn-un^. ш^Ьф bh 4.шpÖшmp4nLd, ^h LшhшJf, huL £шrçш£шphшLhЬpQ' 12.1 rnnLnun^. ш^Ьф, ^h qJnLrçшphшLhЬpQ:
Ujdd шhghЬhf pшpÖpшqnLJh U hЬmpnLhшLшh LppnLpjnLh rnhbgn^ ш^ Öшhg, npnhg ph4.Q dbp pшqшJnLd 2,146 t:
ЧhшhшmЬhf Uhh^bph dnrç.b|Q rç.шuшLшh rnbupn^..
{12> InWi = ßo + ßiNSi + ß2EXPERi + ß3EXPER} + £i i = 1,2146: (23)
Я-hшhшmdшh шp^JnLhfhЬpQ gnLjg bh mшLhu, np pшpÖpшqnLJh LppnL-pjnLh nLhbgn^hbph 2P2шhnLd LppnLp^h mшphhЬpQ U Ш2^шmшhfШJhh фnp-Öq шqrç.ЬgnLpjnLh nLhbh ш2^шmш4шpöh dшLшprç.шLh фш, uшLшJh ш^ шqrç.ЬgnLpJnLhh шhh2шh t:
LЬpшnЬhf Ш2^шmn^hЬph ubnh qnpônhQ U qhшhшmЬhf hЬmUJШL dn^b[Q.
{13> InWi = ß0 + ß±NSi + ß2EXPERi + ß3EXPER? + ß^GENDERi +
+ ß4GENDERi + £i i = 1,2146: (24)
Uju ^j|nLd pшpЬ|шф.nLd bh umшg4шô шp^.JnLhfhЬpQ: Uшprç.Lшhg ub-nQ, ^ш]ш0 pшpÖpшqnLJh LppnLpjnLh nLhЬhшLnL фшumhh, ШJhnLшdЬhшJhh4., nLhh шqrç.ЬgnLpjnLh ш2^шmш4шpöh dшLшprç.шLh фш: ^ЬmЬpdhhшghшJh
62qpm4шö qnpöшLhgQ ШJu dnrç.b|nLd pш4шLшhhh pшpÖpшhnLd t' hшuhЬ|n4 dhh^U G.12-h, uшLшJh um pш4шpшp ^t ЬqpшLшgnLpJnLhhЬp шhЬLnL hш-dшp: Ujrç. huL Чшш6шпп4 dnrç.b|nLd hЬpшnЬhf hшU ш2^шmшhfh щш^ш^ hbpQ phnLpшqpn^ qnpônhhbp, hh^huhf bh ш2^шmшhfh d2шшLшhnLpJnL-hQ, ^pnLjfQ U Ш2^шmшhfШJhh dшdЬpQ.
{14> InWi = ß0 + ß±NSi + ß2EXPERi + ß3EXPER2i + ß^GENDERi +
+ß5PERMi + ß6FTi + ß-jWHi + £ii = 1:2146: (25)
^^rnrnrnh^rn^h ^rnjdrnhhbpQ phmprnqpn^ qnpônhhbph ^Lrnhnpbh pшpÖpшgphh ^ЬmЬpdhhшghшJh Ó2qpm4шô qnpörnLhgQ' hшughЬ|n4 dhh^U G.25-h, uшLшJh Ш2^шmшhfШJhh фnpÖQ ^^Йш^ n^ h2шhшLшLh qnpônh: Фn^шphhЬhf Ш2^шmшhfШJhh фnpÖQ Ш2^шmn^hЬph mrnphfh qnpônhn^ U qhшhшmЬhf hЬmUJШL dnrç.b|Q.
{15> InWi = ß0 + ßxNSi + ß2AGEi + ß3AGE} + ß4GENDERi +
+ß5PERMi + ß6FTi + ß7WHi + e¡ i = 1:2146: (26)
Uju rçb^pnLd rç.bmbpdhhrnghrnjh Ó2qpm4шô qnpôrnLhgQ dhшg шhфn-фп^, huL qnpônhhbph шnшhÖhh-шnшhÖhh h2шhшLшLh bh:
^gnprç. prnjimd LhЬpшnЬhf hшU шdnLuhшLшh LшpqшфóшLQ phmprn-qpn^ Lb^ô фnфn^шLшhQ, np^buqh hrnuLrnhrnhf, pb pшpÖpшqnLJh LppnLpjnLh nLhbgn^hbph 2P2шhnLd шdnLuhшgшô LhhbLQ Lшd ^.hhb|Q шp^.Jnf шq-^n^Ld t ш2^шmш4шpöh dшLшp^шLh 4.pш, pb^ n^, U bpb ш]п, шцш hh^^b^u: Uju^hun^' Lqhшhшm4h hЬmUJШL dn^b[Q.
{16> InWi = ß0 + ßxNSi + ß2AGEi + ß3AGE} + ß4GENDERi + +ßsPERMi + ß6FTi + ß7WHi + ß8MARITALi + £¿ i = 1,2146: (27)
UJnLubmLmb Lmpqm4h^mLh qnp&nbb tmubu ^h pmpSpmgbnLJ ^bsbp-Jhbmghmjh 62qps4m& qnp&mLhgp, umLmjb b2mbmLm|hnLpjmb pn|np Jm-Lmp^mLbbpnLJ b2mbmLm|h t: Cus usmg4m& mp^jnLbfbbph' mJmubmgmS Jmp^hL usmbnLJ bb m4b|h fh^ m2^msm4mpS, fmb ^mJmubmgm&bbpp, hb^p Uu JbL mbqmJ mumgnLgnLJ t mjb pbqp, np ^mJmubmgmS U mjb t| pmpSpmqnLjb LppnLpjmJp mbShbf nLbbb 2ms m4b|h dmJmbmL U ^p^m-Ums6mn hpbbg JmubmqhsmLmb Lmpn^nLpjrnbbbpp qmpqmgbb|nL U m4b|h pmpSp 4mpSmsp4b|nL hmJmp:
<mjmusmbmJ, hb^ubu mp^bb b2b| bbf, pm4mLmbhb Jb6 smppbpnL-pjnLb Lm fm^mfmjhb U qjnL^mLmb pbmLm4mjpbpnLJ m2^msmsb^bph mn-Lmjmpjmb, hb^ubu bmU m2^msmbfmjhb umjJmbbbph Jh2U, nLush LmpUnp t mj^ Lb^fr ^n^n^mLmbh mq^bgnLpjrnbp usnLqb| bmU mju ^Jph m2^ms-nLdh hmJmp: <bsUmpmp' hmgnp^h4 Lqbmhmsbbf hbsUjm| Jn^b|p.
(11) InWi = p0 + plNSi + P2AGEi + p3AGE} + fi4GENDERi + psPERMi + +P6FTi + P7WHi + p8MARITALi + PgURi + £i i = 1,2146: (28)
hpnf, mju qnp&nbp b2mbmLm|h t jnLpwfwbymp JmLmp^mLnLJ U pmpSpmgbnLJ t 62qps4m6 ^bsbpJhbmghmjh qnp&mLhgp' hmugbb|n4 Jhb^U 0.27-h: Up^jnLbfbbpp gnLjg bb sm|hu, np fm^mfmpbmL pmpSpmqnLjb LppnL-pjmJp mbShbf usmbnLJ bb 2nLp2 18 snLnun4 m4b|h pmpSp m2^msm4mpS, fmb qjnL^mpbmLbbpp, hb^p Uu JbL mbqmJ mumgnLgnLJ t, np <mjmusm-bnLJ qjnL^mLmb pbmLm4mjpbpnLJ m2^msmbfh hbushsnLsp pbpqmpqm-gmfr t U qhgnLJ t fm^mfbbphb:
L24m6 qnpfrnbbbph pmqJmph4 mj| hmJmLgnLpjmJp Jn^b|bbph qbmhm-snLJbbpp gnLjg s4bghb, np, pbpUu, |m4mqnLjbp 17-p^ Jn^b|b t, npp pmgms-pnLJ t pmpSpmqnLjb U hbspnLhmLmb LppnLpjrnb nLbbgn^bbph m2^msm-4mpSbph 4mphmghmjh 27%-p:
^bmhms4m6 pn|np Jn^b|bbph tJuhphL mpqjnLbfbbpp bbpLmjmg4m& bb m^jnLumL 4-nLJ:
UqjnLuw^ 4
Qbiuhiuiptfiud inq.b[bbph £JiqhphU mpqjnibfbbpp*
12 13 14 15 16 17
C 11.2 (0.00) 11.0 (0.00) 10.1 (0.00) 10.0 (0.00) 9.9 (0.00) 9.9 (0.00)
NS 0.02 (0.02) 0.03 (0.00) 0.03 (0.00) 0.03 (0.00) 0.03 (0.00) 0.03 (0.00)
EXPER 0.01 (0.01) 0.01 (0.01) 000(032) - - -
EXPER2 -0.00 (0.00) -0.00 (0.00) -000X005) - - -
AGE - - - 0.01 (0.04) n nn /n H/l \ 0.02 (0.02) n nn /n nn\ 0.02 (0.01) n nn /n nn\
AGE GENDER DFDM - 0.39 (0.00) 0.29 (0.00) n 10 /n nn\ -0.00 (0.04) 0.29 (0.00) n 1Q /n nn\ -0.00 (0.00) 0.31 (0.00) n 1/1 /n nn\ -0.00 (0.00) 0.31 (0.00) fl 1/1 /n nn\
PERM FT WH - - 0.13 (0.00) 0.46 (0.00) n nn /n nn\ 0.13 (0.00) 0.46 (0.00) n nn /n nn\ 0.14 (0.00) 0.46 (0.00) n nn /n nn\ 0.14 (0.00) 0.44 (0.00) n nn /n nn\
Wn MARITAL 1 IP - - 0.00 (0.00) 0.00 (0.00) 0.00 (0.00) -0.08 (0.02) 0.00 (0.00) -0.08 (0.00) n 17 /n nn\
UR adj. R2 0.01 0.12 0.25 0.25 0.25 0.1/ (0.00) 0.27
Prob (F-stat) 0.00 0.00 0.00 0.00 0.00 0.00
* ifiwLwqdbpmd ti2luid hh t ilfr6uiLuihfihhpfi hwilwbwtywbmp-jmbbhpQ: U^pjnipQ^ hhqfihwLti hw2lwpLbhpp' « U^ ipljwtbhpfi hfidwb ipw:
4ЬpшlшhqhЬh£ qhшhшm4шö 17-prç. Jnrç.b|£.
{17) tñWl = 9.9 + 0.03NSt + 0.02AGE¡ - 0.0002AGE? + 0.31GENDERt + +0.14PERMt + 0.44FTt + 0.002WHt - 0.08MARITALt + 0.17URt i = 1,2146■ (29)
Ö2qpsb|n4 qnpöшlhghЬpD (16) pшhшÖUn4, JЬlhшpшhЬh£ итшд^шб шprç.JnLh£hЬpD: hh^bu шprç.Ьh h2^bg, ш^ qnpônhhbpD Jhшuhh pшgшmpnLJ bh pшpÖpшqnLJh U hЬmpnLhшlшh lppnLpjnLh mhbgnqhbph ш2^шmш4шpöh Jшlшprç.шlh фnфn^nLpjшh 27%-Q: 4ppnLp^h JnLpш£шhynLp Jbl
mшphh ш4Ь|шghnLJ t ш^ ^Jph ш2^шmnqhЬph ш2^шmш4шpÖQ 2nLp2 2.7 rnnlnun^., hull hш4ЬuшL ш2^шmшh£ШJhh Jbl ö^Jd' Jnm G.2%-n^ (opшlшh Jbl d^J hш4ЬuшL ш2^шmшhfQ ш4Ь|шghnLJ t шJuшlшh ш2^шmш4шpÖQ Jnm 5 rnnlnun^.): Sшphfh шбр ш4Ь|шghnLJ t ш2^шmш4шpÖQ 1.8 rnnlnun^., uшlшJh npn2шlh sшphfhg hbsn ш2^шmш4шpÖQ ulunLJ t h^mqb|; Ц^тш-^h ш2^шmшhf mhbgnqhbpD 4.шumшlnLJ bh 15.4% шфф 2шт Ш2^штш-^h n J2mшlшh ш2^шmnqhЬpQ: Ujurnbq mqшJшp^hl 36.2 mnln-un^ шфф bh ^wp^mp^nLJ, ^h lшhшJ£: Uph4 T-pnLJfn^ ш2^шmnqhЬpD umшhnLJ bh 55.G mnlnun^ шфф 2ш^ ш2^шmш4шpö, ^h lbu ^.pnypn^ ш2^шmnqhЬpQ: ■£шqш£шphшlhЬpD qJnLqшphшlhЬph hшJЬJшmnLpJшJp umшhnLJ bh 18.4 mnlnun^ шфф ш2^шmш4шpö, hul шJnLuhшgшöhЬpQ 7.5 rnnlnun^. шфф щшlшu bh 4.шumшlnLJ, ^h ^шJnLuhшgшöhЬpQ:
Uju^hun^' umшgшhf bpbf Jnrç.b|hbp, npnhf ^^mqnyh lbp^n^ bh phnL-^qpmJ ш2^шmш4шpöh Jшlшprç.шlD m4JШLhЬph щшJJшhhЬpnLJ:
U^2hh Jnrç.b|£ umшg4ЬL t шJpnrç2 Qhmpшhfh hlшmJшJp, bplpnp^ Jh2hh U gшöp lppшJшlшp^шl mhbgnqhbph, hul bppnprç. Jnrç.b|£ lЬpшpЬpnLJ t JhшJh pшpÖpшqnLJh U hЬmpnLhшlшh lppnLpjnLh mhbgnq
íñWt = 9.7 + 0.05NS¡ + 0.01AGE¡ - 0.00002AGEf + 0.3GENDERt +
+0.08PERMt + 0.48FTt + 0.001WHt + 0.13URt i = 1,6875■ (15)
íñWt = 10.2 + 0. OlNSi + 0.005EXPERt - 0.0002EXPERf + 0.29GENDERt +
+0.06PERMt + 0.49FTt + 0.001WHt + 0. HURt i = 1,4729■ (22)
tñWl = 9.9 + 0.03NSt + 0.02AGEt - 0.0002AGEf + 0.31GENDERt + 0.14PERMt + 0.44FTt + 0.002WHt - 0.08MARITALt + 0.17URt i = 1,2146. (29)
UrçJnLuшl 5-nLJ hbp^^g^ô bh nbqpbunphbph 02qpm^ô qnpöшlhg-hbpQ1 mnlnuшJhh шpmшhшJmnLpJшJp:
<шJЬJшmЬhf umшg4шö шp^.JnLhfhЬpQ: U2^шmшhfШJhh фnpÖQ h2ш-hшlшLh qnpônh t JhшJh Jh2hh lшJ gшöp lppшJшlшp^шl nLhbgnqhbph ^b^fnLJ, uшlшJh 2шт фnfp шq^ЬgnLpJnLh nLhh ш2^шmш4шpöh Jшlшp-^шlh 4pш: U2^шmшhfh J2sшlшhnLpJnLhh шфф Jbö шq^ЬgnLpJnLh nLhh pшpöp lppшJшlшprç.шl nLhbgnqhbph (15.4%-q1 6.4%-h ^hJшg), hul T-pnUfQ1 ^nLhbgnqhbph 2P2шhnLJ (63%-q1 55%-h ^hJшg): Phшlш4шJph mЬuшlQ ш4ЬLh Jbô шq^ЬgnLpJnLh nLhh pшpÖpшqnLJh lppnLpjnLh rnhbgnqhbph 2P2шhnLJ. 18.4 rnnlnuQ1 12.1 mnlnuh ^hJшg, hh^D pшgшmp4nLJ t hpшhnф np hшmlшцЬu pшpöp цpnфЬuhnhшLhqJ U Jшuhшqhmшlшh qhrnb[hfhbp цшhшh2nq ш2-^шmшhfhЬpD шЬ^ш1ш]4.ш0 bh fшqшfШJhh phшlш4шJpЬpnLJ: UJnLuhшlшh lшpqш4h6шlD h2шhшlшLh qnpônh ^t Jh2hh U gшöp lppшJшlшp^шlh ^b^fnLJ, hul Dhrç^hnLp phшl^nLpJшh Jb2 шJnLuhшgшöhЬph шфф fh^ bh
4musmLnLJ, fmb ^m JnLubmgm&bbpp: hb^ 4bpmpbpnLJ t m2^msnqbbph ub-nhb, mum ^m qpbpb hm4mumpmubu t mq^.mJ smppbp Lppm JmLmp^.mL rnbbgnq m2^msn^bbph m2^msm4mpSbph 4pm:
UqjnLum^ 5
flbqpbunphbph 62Qpip4iu& qnp&wUhgbbpp, ipntynu
9-npSnbbbp Qbq.hwbntp piuqiu Whshb h 9lu^p Pmpdp
lippiuiiuUiup^iuli Upp-mtfmUmpqmU
AGE EXPER PT 1.2 0.5 P.1 n 1.8 RR n
Fl GENDER K >1 A DITA 1 61.3 35.7 0 £ 63.0 34.1 55.0 36.2 7 R
MARI lAL NS DCDK/1 -2.6 5.1 ft n 1.3 £ A -7.5 2.7 m A
PERM UR 8.0 13.4 n 0 6.4 12.1 n 0 15.4 18.4 n 0
VVn adj. R2 0.2 0.33 0.2 0.32 0.2 0.27
Uqpjni.pQ* hhqfihwtyfi hw2lwptyhhp[' « U^ ipljwthhpfi hfidwh ipw:
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1. « ixi2^iixiiTiiiihgiiijhh opbhuqhpf Qhrçrnh^wiô 09.11.2004 p.:
2. « 44, li2^iiniTinLd"h hbmixiqnmnLpjixih mhiluhiiiqbpôiluô Jhlpn-miljuiitibph pшqш - 2019 (pus mhrnjhh mhmbunLpjuih uihq.ixiJ-hbph):
3. Симоненко М., Анализ модели Минцера на примере России и Беларуси, БГУ, УДК 082(06) Б 437, Минск, 2016.
4. Bjorklund A., Kjellstrom Ch., Estimating the return to investments in education: how useful is the standard Mincer equation?, Economics of education review 21, 2002.
5. Smith Adam, An Inquiry into the nature and causes of the wealth of nations, Book 1, Chapter 10, 1776.
6. Blinder A.S., Wage discrimination: Reduced fom and structural estimates, J. Human Resources 8, 1973.
7. Andini C., A dynamic Mincer equation with an application to Portuguese data, Applied Economics, 42:16, Portugal, 2008.
8. Gujarati D., Econometrics by example, 2012.
U"Ura-bU"USh4U4UL SLSbUU4-hSn^3nhb 175
9. Ebru Caglayan Akay, Estimation of Mincerian wage equation in Turkey: a semiparametric approach, EconWorld, Barcelona, Spain, 2016.
10. Mincer J., Education, experience, and the distribution of earnings and employment: an overview, F. Thomas Juster ed., Education, income, and human behavior, ISBN: 0-07-010068-3, 1975.
11. Heckman J.J., Lochner L.J., Todd P.E, Earnings functions, rates of return and treatment effects: the Mincer equation and beyond, Elsevier B.V., 2006.
12. Liu Jin-Tan, Hammitt James K., Liu Jin-Long, Estimated hedonic wage function and value of life in a developing country, Economics Letters 57(3), Taiwan, 1997.
13. Neumark D., Employers' discriminatory behavior and the estimation of wage discrimination, J. Human Resources 23, 1988.
14. Nguyen Dung Tien, An analysis of labour market returns to education in Vietnam: evidence from the national labour force survey 2012, Turin School of Development Working Paper, No. 3, International Training Centre of the ILO, Turin, Italy, 2014.
15. Oaxaca R.L., Male-female wage differentials in urban labor markets, International Economic Review 14, 1973.
16. Oaxaca R.L., Ransom M., On discrimination and the decomposition of wage differentials, J. Econometrics 61, 1994.
17. Thaler R., Rosen Sh., The value of saving a life: evidence from the labor market, Nestor E. Terleckyj, Household production and consumption, 1976.
18. Willis R.J., Wage determinants: A survey and reinterpretation of human capital earnings functions, University of Chicago and Economic research center, 1986.
19. Neuman Sh., Oaxaca R.L., Wage decompositions with selectivity-corrected wage equations: A methodological note, Journal of Economic Inequality, vol. 2(1), 2004.
20. Rosen Sh., Hedonic prices and implicit markets: product differentiation in pure competetion, The University of Chicago, Journal of Political Economy, Vol. 82(1), 1974.
21. https://www.arlis.am/
22.https://www.armstat.am/am/?nid=212
РОМИК КАЗАРЯН
Аспирант кафедры экономико-математических методов АГЭУ
Оценка факторов, влияющих на уровень заработной платы (на примере РА).- В соответствии с Трудовым кодексом РА заработная плата - это установленное законом, иными нормативными актами или трудовым договором вознаграждение, выплачиваемое работнику за выполнение работ. В рыночной экономике различия в заработной плате неизбежны, но возникает вопрос, какие именно факторы влияют на разницу в заработной плате. Эти факторы могут сильно различаться в каждой стране или организации, но
есть ключевые факторы, влияние которых всегда следует оценивать в ходе подобных исследований. Данная статья направлена на оценку различий в заработной плате в Армении в зависимости от различных экономических и социальных факторов. Для решения поставленной задачи был проведен регрессионный анализ на основе модели зарплат Минсера. Исследование проводилось на основе трех баз данных, что позволило сравнить влияние факторов, определяющих заработную плату работников с разным уровнем образования.
Ключевые слова: заработная плата, уровень образования, опыт работы, ставка, пол, семейное положение. JEL: J24, J31
DOI: 10.52174/1829-0280_2022.1 -159
ROMIK GHAZARYAN
PhD Student of the Chair of Economic-Mathematical Methods of ASUE
Evaluation of Factors Influencing Salary by the Example of the RA.- In a market economy in general, wage differences are inevitable, but the question arises as to what factors in particular affect wage differences. Those factors may vary in every country or organization, but there are key factors, the impact of which should always be assessed in this kind of research. The aim of this research paper is to assess the wage differences in Armenia depending on various economic and social factors. To meet the objectives of the paper, a regression analysis was performed based on the Mincer model of salaries. The research was conducted on the basis of three databases, which allowed to compare the effects of factors determining the salaries of workers with different levels of education.
Keywords: wage, educational level, work experience, rate, gender, marital status. JEL: J24, J31
DOI: 10.52174/1829-0280_2022.1 -159
