La ciudad como campo de estudio morfológico: Escenarios latinoamericanos en tiempos de crisis

198 03 La ciudad post-crisis GT = ß0 + ß 1GV + ß 2GM + ß 3GA + ß 4GS + ß5GE Donde: GT = Gasto Total GV = Gasto vivienda GM = Gasto movilidad GS = Gasto salud GE = Gasto educación ß0 = constante ß1,ß2, ß3, ß4 y ß5 son los coeficientes a estimar de cada variable La estimación se hace a partir del gasto realizado en cada varia- ble; los series estadísticas se obtienen de las encuestas aplicadas. El resultado es el siguiente: DOI: * rellenar por los editores Sample (adjusted): 1 176 Included observations: 170 after adjustments Variable Coefficient Std. Error t-Statistic Prob. GV 0.393459 0.071729 5.485338 0.0000 GM 1.122941 0.137281 8.179853 0.0000 GAL 1.060349 0.057131 18.56001 0.0000 GSA 1.058003 0.178199 5.937189 0.0000 GED 1.058254 0.094638 11.18212 0.0000 C 1681.480 428.6145 3.923059 0.0001 R-squared 0.846482 Mean dependent var 11961.78 Adjusted R-squared 0.841801 S.D. dependent var 4841.864 S.E. of regression 1925.813 Akaike info criterion 17.99874 Sum squared resid 6.08E+08 Schwarz criterion 18.10942 Log likelihood -1523.893 F-statistic 180.8552 Durbin-Watson stat 2.328716 Prob(F-statistic) 0.000000 DOI: * rellenar por los editores Tabla 3. Resultados de la estimación por mínimos cuadrados ordinarios Sample (adjusted): 1 176 Included observations: 170 after adjustments Variable Coefficient Std. Error t-Statistic Prob. GV 0.393459 0.071729 5.485338 0.0000 GM 1.122941 0.137281 8.179853 0.0000 GAL 1.060349 0.057131 18.56001 0.0000 GSA 1.058003 0.178199 5.937189 0.0000 GED 1.058254 0.094638 11.18212 0.0000 C 1681.480 428.6145 3.923059 0.0001 R-squared 0.846482 Mean dependent var 11961.78 Adjusted R-squared 0.841801 S.D. dependent var 4841.864 S.E. of regression 1925.813 Akaike info criterion 17.99874 Sum squared resid 6.08E+08 Schwarz criterion 18.10942 Log likelihood -1523.893 F-statistic 180.8552 Durbin-Watson stat 2.328716 Prob(F-statistic) 0.000000 DOI: * rellen r por los editores Sample (adjusted): 1 176 Included observations: 170 after adjustments Variable Coefficient Std. Error t-Statistic Prob. V 0.393459 0.071729 5.485338 0.0000 M 1.122941 0.137281 8.179853 0.0000 AL 1.060349 0.057131 18.56001 0.0000 GSA 1.058003 0.178199 5.937189 0.0000 GED 1.058254 0.094638 11.18212 0.0000 C 1681.480 428.6145 3.923059 0.0001 R-squared 0.846482 Mean dependent var 11961.78 Adjusted R-squared 0.841801 S.D. dependent var 4841.864 S.E. of regression 1925.813 Akaike info criterion 17.99874 Sum squared resid 6.08E+08 Schwarz criterion 18.10942 Log likelihood -1523.893 F-statistic 180.8552 Durbin-Watson stat 2.328716 Prob(F-statistic) 0.000000 Dependent Variable: GT Method: Least Squares Date: 06/11/18 Time: 00:15 Sample (adjusted): 1 176 Included observations: 170 after adjustments tab3 Resultados de la estimación Fuente: Elaboración propia