{"shock": "Moms_ned", "variation": "_ufin", "synthetic": false, "definition": {"instrument": "tMoms_y,tMoms_m", "instrumentDa": "Momssatser (indenlandsk og importeret)", "shortDa": null, "changeDa": "\u22122 pct. af satsen", "changeSize": -2.0, "changeUnitDa": "pct. af satsen", "factor": 0.98, "delta": 0.0, "firstYear": 2030, "lastYear": 2129, "profileDa": "Permanent: st\u00f8det g\u00e6lder alle \u00e5r fra st\u00f8d\u00e5ret og horisonten ud.", "closureDa": "Ufinansieret: ingen skattesats reagerer. Virkningen p\u00e5 de offentlige finanser akkumulerer derfor over tid og er ikke et holdbart forl\u00f8b.", "lukningShare": null, "dreamDa": "Alle momssatser i modellen ganges med samme faktor, som i DREAMs standardst\u00f8d \u2013 satserne er effektive satser pr. eftersp\u00f8rgselskomponent, og dem, der er nul (eksport, fradragsberettigede k\u00f8b), forbliver nul. 2 pct. af satsen svarer til, at momsen p\u00e5 25 pct. \u00e6ndres med 0,5 pct.-point. DREAM normerer st\u00f8rrelsen til 1 pct. af BNP i provenu; MAKROskop bruger en fast faktor. Neds\u00e6ttelsen er l\u00f8st som sit eget scenarie i stedet for at spejle forh\u00f8jelsen.", "seriesKey": null, "solver": "MAKROskops frie l\u00f8ser (Newton, fuld horisont)", "linearityDa": "Lineariteten er ikke m\u00e5lt for dette st\u00f8d endnu.", "maxScale": null, "maxScaleDa": null, "explainerDa": "Lavere moms s\u00e6nker forbrugerpriserne ca. 0,2 pct. og h\u00e6ver realindkomsten: forbruget stiger ca. 0,3 pct. og boligpriserne lidt, men BNP kun ca. 0,05 pct., og besk\u00e6ftigelsen er stort set u\u00e6ndret. Saldoen sv\u00e6kkes med ca. 0,1 pct. af BNP \u2013 mere over tid, fordi neds\u00e6ttelsen er ufinansieret.", "channel": ["pC>qC>qBNP", "pBolig", "saldo2bnp"]}, "deviations": {"qBNP": [null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0427502, 0.0553486, 0.0572632, 0.055348, 0.0516451, 0.0476076, 0.0439423, 0.0410878, 0.0390893, 0.0378314, 0.0371588, 0.036867, 0.0367731, 0.0368182, 0.0369671, 0.0371808, 0.0374096, 0.0375887, 0.0377481, 0.0378967, 0.0380497, 0.0381938, 0.0383465, 0.0384981, 0.0386735, 0.0388517, 0.0390021, 0.039092, 0.0391632, 0.0391943, 0.0391945, 0.0391471, 0.0390599, 0.0389201, 0.0387462, 0.0385787, 0.0383703, 0.0381215, 0.0378192, 0.0375246, 0.0372208, 0.0368872, 0.0365123, 0.0361312, 0.0357613, 0.0353793, 0.0349472, 0.0345232, 0.0340785, 0.0336384, 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