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    -2-262232 ÑÎËÍÅ×ÍÎÃÎÐÑÊÈÉ-62-2-6-6-20-3,5 ÑÒÓÏÈÍÑÊÈÉ-2-2-222-21-0,4 ÒÀËÄÎÌÑÊÈÉ-2-2-2-6-661-0,4 ×ÅÕÎÂÑÊÈÉ-2-2-6-2-620-1,8 ØÀÒÓÐÑÊÈÉ-2-2666-620,4 ØÀÕÎÂÑÊÎÉ-6-6-6-6-620-2,8 ÙÅËÊÎÂÑÊÈÉ-6-2-6-2-661-0,4 Ó÷èòûâàÿ, ÷òî òàê ñôîðìèðîâàííûå êëàñäàííûå äëÿ ïîñòðîåíèÿ ìîäåëè ìíîæåñòâåíñû ÿâëÿþòñÿ ðàíæèðîâàííûìè, èñïîëüçóåì íîãî âûáîðà ïðèâåäåíû â òàáë. 8. Îöåíåííûå â ïàêåòå STATISTICA
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    êîýôôèöèåíòû è îñíîâíûå õàðàêòåðèñòèêè ìîäåëè ïðèâåäåíû â òàáë. 9. èõ äëÿ ïîñòðîåíèÿ ìîäåëè ìíîæåñòâåííîãî âûáîðà â ðàíãîâîé øêàëå â çàâèñèìîñòè îò óðîâíÿ çàðàáîòíîé ïëàòû [3].

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    Timiryazev, Moscow Tel.: (499) 976-46-97 E-mail: iharcheva@timacad.ru È ññëåäîâàíèå ïðîâîäèëîñü ñ öåëüþ ïðîâåðêè ãèïîòåçû, â ñîîòâåòñòâèè ñ êîòîðîé çàðàáîòíàÿ ïëàòà äîëæíà îêàçûâàòü ñòèìóëèðóþùåå âëèÿíèå íà ïðîèçâîäèòåëüíîñòü òðóäà. Ñóùåñòâóþùàÿ òî÷êà çðåíèÿ íàõîäèòñÿ â ñîãëàñèè ñ ýòîé ãèïîòåçîé
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    . Îäíàêî ýêîíîìåòðè÷åñêîå òåñòèðîâàíèå ýòîé ãèïîòåçû, çàêëþ÷àþùååñÿ â ïîñòðîåíèè ëèíåéíîé ðåãðåññèîííîé çàâèñèìîñòè óðîâíÿ ïðîèçâîäèòåëüíîñòè òðóäà îò ñðåäíåé çàðàáîòíîé ïëàòû ïî äàííûì òàáë. 1, íå ïîäòâåðäèëî ñïðàâåäëèâîñòü ýòîé ãèïîòåçû.

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    Îöåíåííûå â ïàêåòå STATISTICA [1] êîýôôèöèåíòû è îñíîâíûå õàðàêòåðèñòèêè ìîäåëè ïðèâåäåíû â òàáë. 9. èõ äëÿ ïîñòðîåíèÿ ìîäåëè ìíîæåñòâåííîãî âûáîðà â ðàíãîâîé øêàëå â çàâèñèìîñòè îò óðîâíÿ çàðàáîòíîé ïëàòû
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    . Èñõîäíûå Òàáëèöà 8 – Äàííûå äëÿ ïîñòðîåíèÿ ìîäåëè ìíîæåñòâåííîãî âûáîðà â ðàíãîâîé øêàëå ÐÀÉÎÍ 2008 ã.2009 ã.2010 ã.2011 ã.2012 ã.2013 ã. zwtzwtzwtzwtzwtzwt ÁÀËÀØÈÕÈÍÑÊÈÉ017453016958022409021020020565022218 ÂÎËÎÊÎËÀÌÑÊÈÉ211806213685213604214038214287215700 ÂÎÑÊÐÅÑÅÍÑÊÈÉ213876215376218107217908215550217278 ÄÌÈÒÐÎÂÑÊÈÉ316978319267321091321766320328322095 ÄÎÌÎÄÅÄÎÂÑÊÈÉ115733125154127213131860132

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Davnis V. V., Tinyakova V. I. Econometric forecasting methods. Voronezh : CSTI, 2009. 235 p.
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    Òðåíäêëàññèôèêàöèîííûé àíàëèç ïðåäóñìàòðèâàåò èñïîëüçîâàíèå äàííûõ, èìåþùèõ ïàíåëüíóþ ñòðóêòóðó (òàáë. 2). Òàêàÿ ñòðóêòóðà äàííûõ ïîçâîëÿåò ïîñòðîèòü ìîäåëü, êîòîðàÿ îïèñûâàåò óñðåäíåííûé òðåíä â âèäå çàâèñèìîñòè òåêóùèõ çíà÷åíèé ïðîèçâîäèòåëüíîñòè òðóäà îò ïðåäûäóùèõ
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    . Îöåíåííàÿ ìîäåëü óñðåäíåííîãî òðåíäà èìååò âèä: yaaytt1211438079,57 0,5135ty . Ñóäÿ ïî êðèòåðèþ Ôèøåðà, ìîäåëü àäåêâàòíà, à t-ñòàòèñòèêè Ñòúþäåíòà ñâèäåòåëüñòâóþò î ñòàòèñòè÷åñêîé çíà÷èìîñòè åå êîýôôèöèåíòîâ íà 5 %-íîì óðîâíå çíà÷èìîñòè.

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Ilyin V. A., Gulin K. A., Uskova T. V. Strategic reserves of labor productivity growth in the regional economy // Economic and social changes: facts, trends, forecast. 2010. ¹ 1 (9). P. 24–38.
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    Timiryazev, Moscow Tel.: (499) 976-46-97 E-mail: iharcheva@timacad.ru È ññëåäîâàíèå ïðîâîäèëîñü ñ öåëüþ ïðîâåðêè ãèïîòåçû, â ñîîòâåòñòâèè ñ êîòîðîé çàðàáîòíàÿ ïëàòà äîëæíà îêàçûâàòü ñòèìóëèðóþùåå âëèÿíèå íà ïðîèçâîäèòåëüíîñòü òðóäà. Ñóùåñòâóþùàÿ òî÷êà çðåíèÿ íàõîäèòñÿ â ñîãëàñèè ñ ýòîé ãèïîòåçîé
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    . Îäíàêî ýêîíîìåòðè÷åñêîå òåñòèðîâàíèå ýòîé ãèïîòåçû, çàêëþ÷àþùååñÿ â ïîñòðîåíèè ëèíåéíîé ðåãðåññèîííîé çàâèñèìîñòè óðîâíÿ ïðîèçâîäèòåëüíîñòè òðóäà îò ñðåäíåé çàðàáîòíîé ïëàòû ïî äàííûì òàáë. 1, íå ïîäòâåðäèëî ñïðàâåäëèâîñòü ýòîé ãèïîòåçû.

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    Timiryazev, Moscow Tel.: (499) 976-46-97 E-mail: iharcheva@timacad.ru È ññëåäîâàíèå ïðîâîäèëîñü ñ öåëüþ ïðîâåðêè ãèïîòåçû, â ñîîòâåòñòâèè ñ êîòîðîé çàðàáîòíàÿ ïëàòà äîëæíà îêàçûâàòü ñòèìóëèðóþùåå âëèÿíèå íà ïðîèçâîäèòåëüíîñòü òðóäà. Ñóùåñòâóþùàÿ òî÷êà çðåíèÿ íàõîäèòñÿ â ñîãëàñèè ñ ýòîé ãèïîòåçîé
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    . Îäíàêî ýêîíîìåòðè÷åñêîå òåñòèðîâàíèå ýòîé ãèïîòåçû, çàêëþ÷àþùååñÿ â ïîñòðîåíèè ëèíåéíîé ðåãðåññèîííîé çàâèñèìîñòè óðîâíÿ ïðîèçâîäèòåëüíîñòè òðóäà îò ñðåäíåé çàðàáîòíîé ïëàòû ïî äàííûì òàáë. 1, íå ïîäòâåðäèëî ñïðàâåäëèâîñòü ýòîé ãèïîòåçû.

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Ovchinnikova T. I., Tinyakova V. I. Motivational characteristics workforce // Measurement and remuneration in the industry. 2014. ¹ 12. P. 27–31.
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    Timiryazev, Moscow Tel.: (499) 976-46-97 E-mail: iharcheva@timacad.ru È ññëåäîâàíèå ïðîâîäèëîñü ñ öåëüþ ïðîâåðêè ãèïîòåçû, â ñîîòâåòñòâèè ñ êîòîðîé çàðàáîòíàÿ ïëàòà äîëæíà îêàçûâàòü ñòèìóëèðóþùåå âëèÿíèå íà ïðîèçâîäèòåëüíîñòü òðóäà. Ñóùåñòâóþùàÿ òî÷êà çðåíèÿ íàõîäèòñÿ â ñîãëàñèè ñ ýòîé ãèïîòåçîé
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    . Îäíàêî ýêîíîìåòðè÷åñêîå òåñòèðîâàíèå ýòîé ãèïîòåçû, çàêëþ÷àþùååñÿ â ïîñòðîåíèè ëèíåéíîé ðåãðåññèîííîé çàâèñèìîñòè óðîâíÿ ïðîèçâîäèòåëüíîñòè òðóäà îò ñðåäíåé çàðàáîòíîé ïëàòû ïî äàííûì òàáë. 1, íå ïîäòâåðäèëî ñïðàâåäëèâîñòü ýòîé ãèïîòåçû.