Моделирование формирования цен на земельные участки Московской области. Кадастровая оценка земель

Приложение 4

Оценивание мультипликативной модели МРА, учитывающей влияние фактора принадлежности к оценочной зоне, для всех направлений.

Белорусское направление

Ln(PRICE) = -0.0057827652*EL + 0.13916627*WAT + 0.36901874*GAS + 0.2087365*WC - 0.060767054*TEL + 0.052102827*ROAD - 0.075337328*FOREST - 0.0055189078*RIVER + 0.10331805*ln(SQU) + 0.99534932*ln(MKAD) + 5.2547275*Z1 + 3.5440688*Z2 + 2.0637135*Z3 + 1.2373478*Z4 + 0.67460416*Z5

LS // Dependent Variable is ln(PRICE)                                         

Included observations: 256 after adjusting endpoints                                          

Variable         Coefficient     Std. Error       t-Statistic        Prob. 

EL                  -0.005783       0.141197      -0.040955      0.9674

WAT                0.139166      0.127701      1.089785      0.2769

GAS                0.369019       0.167293      2.205818      0.0283

WC                 0.208736       0.235547      0.886178      0.3764

TEL                -0.060767       0.231723      -0.262240      0.7934

ROAD             0.052103       0.117192      0.444595      0.6570

FOREST        -0.075337      0.118295      -0.636861      0.5248

RIVER            -0.005519      0.123836      -0.044566      0.9645

Ln(SQU)         0.103318       0.103426      0.998960      0.3188

Ln(MKAD)      0.995349       0.061144      16.27887      0.0000

Z1                    5.254728       0.301141      17.44938      0.0000

Z2                    3.544069       0.200701      17.65841      0.0000

Z3                    2.063713       0.156938      13.14985      0.0000

Z4                    1.237348       0.160135      7.726916      0.0000

Z5                    0.674604       0.214143      3.150251      0.0018

R-squared                  0.476066           Mean dependent var                     5.856869

Adjusted R-squared  0.445630          S.D. dependent var                       1.080715

S.E. of regression     0.804657          Akaike info criterion                      -0.377870

Sum squared resid   156.0411          Schwarz criterion                          -0.170145

Log likelihood            -299.8809          F-statistic                                      15.64154

Durbin-Watson stat   1.700676          Prob(F-statistic)                             0.000000

Ярославское направление

LN(PRICE) = 6.1436502 + 0.001955343*EL + 0.085133641*WAT + 0.44572002*GAS - 0.21492366*WC + 0.85278469*TEL + 0.14799338*ROAD - 0.10178491*FOREST - 0.013373748*RIVER - 0.19580008*LN(SQU) - 0.22451889*LN(MKAD) + 1.274168*Z1 + 1.58818*Z2 + 1.0262341*Z3 + 0.72269108*Z4 - 0.53163349*Z5

LS // Dependent Variable is LN(PRICE)                                       

Included observations: 173 after adjusting endpoints                                          

Variable         Coefficient     Std. Error       t-Statistic        Prob. 

C                    6.143650        0.735122      8.357322      0.0000

EL                  0.001955        0.143042      0.013670      0.9891

WAT              0.085134        0.117218      0.726286      0.4687

GAS               0.445720        0.137652      3.238027      0.0015

WC               -0.214924        0.415879      -0.516794      0.6060

TEL                0.852785        0.310867      2.743246      0.0068

ROAD            0.147993        0.121000      1.223087      0.2231

FOREST        -0.101785      0.118445      -0.859345      0.3915

RIVER            -0.013374      0.115716      -0.115574      0.9081

LN(SQU)        -0.195800      0.115434      -1.696203      0.0918

LN(MKAD)     -0.224519      0.147786      -1.519217      0.1307

Z1                    1.274168       0.432226      2.947921      0.0037

Z2                    1.588180       0.322526      4.924191      0.0000

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