Short-Term Forecasting Of Gross Regional Product Using Production Functions
Table 5: The results of approximating the values of the GRP of the RSES KhMAO - Yugra from PF type VES – function (Sokol & Kutyshkin, 2016)
| Year |
IY.act |
IY.calc(PF VES) |
εt |
σ |
| 2001 |
1,0000 |
0,9990 |
0,0011 |
0,0007 |
| 2002 |
1,0250 |
1,0983 |
0,0715 |
0,00071 |
| 2003 |
1,1193 |
1,1732 |
0,0482 |
0,0075 |
| 2004 |
1,2077 |
1,2385 |
0,0255 |
0,1483 |
| 2005 |
1,3575 |
1,3047 |
0,0389 |
0,1739 |
| 2006 |
1,4484 |
1,3661 |
0,0568 |
0,1971 |
| 2007 |
1,4948 |
1,4249 |
0,0468 |
0,0847 |
| 2008 |
1,5381 |
1,4408 |
0,0633 |
0,02951 |
| 2009 |
1,4643 |
1,4522 |
0,0082 |
0,02951 |
| 2010 |
1,5082 |
1,4527 |
0,0368 |
0,0041 |
| 2011 |
1,5218 |
1,4625 |
0,0390 |
0,00054 |
| 2012 |
1,4929 |
1,4766 |
0,0109 |
0,00004 |
| 2013 |
1,4944 |
1,4830 |
0,0076 |
0,00004 |
| 2014 |
1,4944 |
1,4848 |
0,0064 |
0,00004 |
| 2015 |
1,4788 |
1,6795 |
0,1357 |
0,00004 |
| 2016 |
1,4788 |
1,6597 |
0,1223 |
0,00004 |
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