Eviews izmantoto saīsinājumu detalizēts apraksts IIE novērtējumam

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Eviews izmantoto saīsinājumu detalizēts apraksts IIE novērtējumam Mainīgo saīsinājumu un avotu saraksts (Piezīme: zemāk dotajā tabulā? apzīmē Pool regresijas šķērsgriezuma vienību, t.i., attiecīgo nozari (A, C, T, N vai G) vai _total attiecīgo lielumu summu) Mainīgais Definīcija Reprezentācija modelī 1 2 3 C_prod Būvniecības produkcijas indekss, 2000=100 Constr_prices Būvniecības izmaksu indekss, 2000=100 D2001q1_2003q4 (arī d1) D2004q1_2008q2 (arī d2) 2001q1-2003q4, citiem ceturkšņiem 0) 2004q1-2008q2, citiem ceturkšņiem 0) D2008q3_2010q2 (arī d3) D2010q3_2013q1 (arī d4) DEFL DEFL_sa EUfin_? gfcf_? gfcf_? gfcfsa? Gov_debt 2008q3-2009q4, citiem ceturkšņiem 0) 2010q1-2013q1, citiem ceturkšņiem 0) Bruto pamatkapitāla veidošanās deflators. [aprēķins balstīts uz Eurostat pieejamām rindām: nominālo un 2000. gada salīdzināmās cenās] Bruto pamatkapitāla veidošanās deflators, sezonāli izlīdzināts. [aprēķins balstīts uz Eurostat pieejamām rindām: nominālo un 2000. gada salīdzināmās cenās] ES fondu un atbalsta programmu finansējums pētījuma periodā, milj. LVL [Autoru aprēķins] Bruto pamatkapitāla veidošana, faktiskās cenās, milj. LVL. [Eurostat] Bruto pamatkapitāla veidošana dalījumā pa nozarēm, faktiskās cenā, milj. LVL [Autoru aprēķini] Bruto pamatkapitāla veidošana dalījumā pa nozarēm, faktiskās cenā, milj. LVL, sezonāli izlīdzināts [Autoru aprēķini] Valdības parāds, milj. LVL [csb.gov.lv]

1 2 3 Inflation Patēriņa cenu gada inflācija, % [Eurostat] Intrate_longcredit Intrate_shortcredit INV_? LOG( ) L_? LSA_? Lvl_euro rgdp Vidējās svērtās procentu likmes latos izsniegtiem ilgtermiņa kredītiem Vidējās svērtās procentu likmes latos izsniegtiem īstermiņa kredītiem Nefinanšu investīcijas faktiskās cenās, milj. LVL [LR CSP] Naturāllogaritms Nodarbinātie, ar slodžu korekciju. [Faktiskie dati, autoru pārrēķins] Nodarbinātie, tūkst. cilv. [Faktiskie dati, autoru pārrēķins izmantots kā alternatīvs ] Eiro-lata valūtas maiņas kurss, perioda beigās. [csb.gov.lv] IKP 2000. gada salīdzināmās cenās, milj. LVL [Eurostat] reusa_? Eiropas fondu finansējums pa nozarēm 2000. gada cenās, milj. LVL [autoru aprēķins] Rgfcfsa_? Bruto pamatkapitāla veidošana pa nozarēm, sezonāli izlīdzināts, 2000. gada salīdzināmās cenās, milj. LVL [autoru pārrēķins] rgva_? Bruto pievienotā vērtība pa nozarēm, 2000. gada salīdzināmās cenās, milj. LVL [Eurostat] rgvasa_? Sezonāli izlīdzināta bruto pievienotā vērtība pa nozarēm, 2000. gada salīdzināmās cenās, milj. LVL [autoru aprēķins ar EViews] UNEMPL rintl Svari_? Darba meklētāju īpatsvars, % no ekonomiski aktīviem iedzīvotājiem; sezonāli izlīdzināts. [Eurostat] Ilgtermiņa procentu likme, pārrēķināta reālā izteiksmē, balstoties uz patēriņa cenu pārmaiņām [autoru aprēķins] Attiecīgās nozares īpatsvars kopējā bruto pievienotajā vērtībā Endogens

Regresijas rezultātu detalizēts apraksts Pool regresija IIE retrospektīvais novērtējums pa nozarēm periodā no 2001.g.1.cet. līdz 2013. g.1.cet. : RGFCFSA_A = -76.8021852801 + 60.3984091174-6.43391703531*UNEMPL + 0.161709221451*REUSA_A + 4.98491732021*RINTL + 1.45830271862*RGVASA_A RGFCFSA_C = 16.6294759299 + 60.3984091174-6.43391703531*UNEMPL + 0.0446380096673*REUSA_C + 4.23119632461*RINTL - 0.037156602274*RGVASA_C RGFCFSA_T = -42.8560018327 + 60.3984091174-6.43391703531*UNEMPL + 0.14103479416*REUSA_T + 2.35104817435*RINTL + 0.605011138956*RGVASA_T RGFCFSA_N = 184.011676804 + 60.3984091174-6.43391703531*UNEMPL + 0.86552420878*REUSA_N - 8.13554491936*RINTL + 0.0777120804738*RGVASA_N RGFCFSA_G = -80.9829656212 + 60.3984091174-6.43391703531*UNEMPL + 0.295017178875*REUSA_G + 0.316776689381*RINTL + 0.575727408306*RGVASA_G Cross-section fixed (dummy variables) Effects Specification Weighted Statistics R-squared 0.955785 Mean dependent var 5.327809 Adjusted R-squared 0.951837 S.D. dependent var 3.338311 S.E. of regression 0.982654 Sum squared resid 216.2965 F-statistic 242.1074 Durbin-Watson stat 1.078898 Prob(F-statistic) 0.000000

Pool regresija IIE retrospektīvais novērtējums nozarēs pa tautsaimniecības attīstības cikliem : RGFCFSA_A = -53.4731131543 + 108.588555306-7.01094109342*UNEMPL + 0.263393115882*REUSA_A - 0.0892232951553*REUSA_A*D1-0.103112980088*REUSA_A*D2 + 0.028280420944*REUSA_A*D4 + 5.44007188877*RINTL + 21543.2152158*RGVASA_A/L_A RGFCFSA_C = -39.2483514122 + 108.588555306-7.01094109342*UNEMPL + 0.2993123273078*REUSA_C - 0.21969880566*REUSA_C*D1 + 0.0406470758164*REUSA_C*D2 + 0.1579117769092*REUSA_C*D4 + 5.52960571099*RINTL - 2581.9133476*RGVASA_C/L_C RGFCFSA_N = 159.48404277 + 108.588555306-7.01094109342*UNEMPL + 0.658237538*REUSA_N - 0.246370380562*REUSA_N*D1 + 0.023371807785*REUSA_N*D2-0.122979617966*REUSA_N*D4 + 2.66412684973*RINTL - 1388.97649345*RGVASA_N/L_N RGFCFSA_G = -75.5110378378 + 108.588555306-7.01094109342*UNEMPL + 0.49709812971*REUSA_G - 0.228013235602*REUSA_G*D1-0.135047030184*REUSA_G*D2-0.037859833613*REUSA_G*D4-6.22454253105*RINTL + 145987.592789*RGVASA_G/L_G RGFCFSA_T = 8.74845963476 + 108.588555306-7.01094109342*UNEMPL + 0.633867488586*REUSA_T - 0.499501412723*REUSA_T*D1-0.450649806128*REUSA_T*D2-0.109389460532*REUSA_T*D4-3.44202333693*RINTL + 71700.713462*RGVASA_T/L_T Cross-section fixed (dummy variables) Effects Specification Weighted Statistics R-squared 0.971869 Mean dependent var 5.972351 Adjusted R-squared 0.967158 S.D. dependent var 4.239105 S.E. of regression 1.042315 Sum squared resid 227.0618 F-statistic 206.2992 Durbin-Watson stat 1.505069 Prob(F-statistic) 0.000000 Unweighted Statistics R-squared 0.968184 Mean dependent var 101.6210 Sum squared resid 63880.56 Durbin-Watson stat 1.506000

IIE prognozēšana BĀZES SCENĀRIJS

OPTIMISTISKAIS SCENĀRIJS Optimistiskā makroekonomikā scenārija iestāšanās Latvijā saistāma ar sekmēm eirozonas parādu krīzes risinājumā. Optimistiskais variants paredz, ka ES ekonomika ātrāk un straujāk atgriezīsies pie izaugsmes. Latvijā tas nozīmētu finansējuma pieejamības pieaugumu, tai skaitā ES fondu straujāku apgūšanu. Pozitīvāki IKP pieauguma tempi balstītos gan uz produktivitātes pieaugumu, gan uzlabojumiem nodarbinātībā. Bezdarbs vidējā scenārijā samazinātos, inflācija būtu zema (vidējā termiņā 3% gadā).

PESIMISTISKAIS SCENĀRIJS Negatīvo risku iestāšanās gadījumā var realizēties pesimistiskais scenārijs, tomēr iespēja nav liela. Īstenojoties pesimistiskajam scenārijam, investīciju ieplūde paredzama lēnāka, samazinot izaugsmi arī vidējā termiņā. Nodarbinātības pieaugums būtu zems, bezdarbs samazinātos lēnāk nekā prognozēts. Līdz ar lēnāku izaugsmi mazinātos inflācijas spiediens (vidējā termiņā 1,5% gadā).