I installed Gretl 2016.d when I run a regression OLS and I generate forecast or save residuals every residual is lower cero or each residual is negative, it is not posible. Whats up in Gretl? Perhaps any problem in program code.

Em 1 de mar de 2017, às 20:16, HEBERT SUAREZ CAHUANA <hsuarezc(a)unsa.edu.pe&gt; escreveu: I sent my dataset, I run regresion INF on PBI My series from this regression are: uhat=INF-yhat Why all uhat are negatives? Excuse me, I couldn't speak English very well. INF PBI uhat yhat 1950 10,290 40920,0 -251,328 261,6187 1951 9,954 44711,0 -250,035 259,9892 1952 6,921 47347,0 -251,935 258,8562 1953 9,087 50085,0 -248,593 257,6794 1954 5,405 52762,0 -251,124 256,5288 1955 4,702 55858,0 -250,496 255,1981 1956 5,474 58484,0 -248,595 254,0694 1957 7,400 62371,0 -244,999 252,3987 1958 7,941 61706,0 -244,744 252,6845 1959 12,702 63653,0 -239,145 251,8476 1960 8,626 69946,0 -240,517 249,1428 1961 6,020 75085,0 -240,914 246,9340 1962 6,618 82620,0 -237,077 243,6953 1963 6,023 86196,0 -236,135 242,1583 1964 9,853 91840,0 -229,879 239,7324 1965 16,363 97003,0 -221,150 237,5132 1966 8,889 104995,0 -225,189 234,0781 1967 11,455 109040,0 -220,884 232,3395 1968 19,117 109206,0 -213,151 232,2682 1969 6,231 113044,0 -224,388 230,6185 1970 5,017 116849,0 -223,966 228,9831 1971 6,807 122213,0 -219,871 226,6775 1972 7,192 126463,0 -217,659 224,8508 1973 9,513 134401,0 -211,925 221,4389 1974 16,877 147017,0 -199,139 216,0163 1975 23,634 153340,0 -189,665 213,2986 1976 33,495 155559,0 -178,850 212,3448 1977 38,042 156102,0 -174,069 212,1114 1978 57,850 151977,0 -156,034 213,8844 1979 67,698 158194,0 -143,515 211,2122 1980 59,161 167596,0 -148,011 207,1711 1981 75,418 176901,0 -127,754 203,1716 1982 64,460 176507,0 -138,881 203,3410 1983 111,149 158136,0 -100,088 211,2372 1984 110,209 163842,0 -98,576 208,7846 1985 163,398 167219,0 -43,935 207,3331 1986 77,921 182981,0 -122,637 200,5584 1987 85,846 200778,0 -107,063 192,9089 1988 666,955 181822,0 465,899 201,0565 1989 3398,272 159436,0 3187,593 210,6784 1990 7481,691 151492,0 7267,598 214,0929 1991 409,528 154854,0 196,880 212,6478 1992 73,529 154017,0 -139,479 213,0076 1993 48,580 162093,0 -160,957 209,5364 1994 23,735 182043,7 -177,227 200,9612 1995 11,131 195536,0 -184,031 195,1620 1996 11,549 201009,3 -181,260 192,8095 1997 8,547 214028,3 -178,667 187,2137 1998 7,255 213190,0 -180,319 187,5740 1999 3,469 216376,7 -182,735 186,2043 2000 3,759 222206,7 -179,940 183,6984 2001 1,975 223579,6 -181,133 183,1084 2002 0,192 235772,9 -177,676 177,8674 2003 2,261 245592,6 -171,386 173,6468 2004 3,662 257769,8 -164,751 168,4128 2005 1,618 273971,2 -159,831 161,4492 2006 2,001 294597,8 -150,582 152,5835 2007 1,779 319693,0 -140,018 141,7971 2008 5,788 348923,0 -123,446 129,2335 2009 2,935 352584,0 -124,725 127,6600 2010 1,530 382380,0 -113,324 114,8531 2011 3,370 407052,0 -100,879 104,2487 2012 3,655 431273,0 -90,183 93,8381 2013 2,806 456365,6 -80,247 83,0528 2014 3,246 467275,8 -75,117 78,3634 2015 3,548 482809,0 -68,139 71,6870 2016 3,599 501621,9 -60,001 63,6008 2017-03-01 9:45 GMT-05:00 HEBERT SUAREZ CAHUANA <hsuarezc(a)unsa.edu.pe&gt;: > I installed Gretl 2016.d when I run a regression OLS and I generate forecast or save residuals every residual is lower cero or each residual is negative, it is not posible. > Whats up in Gretl? Perhaps any problem in program code. > > -- > Hebert Suarez Cahuana > Economics Department > Saint Augustin University > Peru > > > "Ninguna nación llegó a la ruina por el libre comercio" Benjamin Franklin -- Hebert Suarez Cahuana Secretario del Departamento de Economía Universidad Nacional de San Agustín Arequipa-Perú "Ninguna nación llegó a la ruina por el libre comercio" Benjamin Franklin <INFLACION_ANUAL_1950-2017.gdt> _______________________________________________ Gretl-users mailing list Gretl-users(a)lists.wfu.edu http://lists.wfu.edu/mailman/listinfo/gretl-users

I sent my dataset, I run regresion INF on PBI My series from this regression are: uhat=INF-yhat Why all uhat are negatives?

May be, this would be helpful There are TWO issues: 1) NUMERIC correctness and 2) ECONOMETRIC correctness 1) (i) ols INF 0 PBI eval mean($uhat) # 4.6556457e-14 # using multiple precision floating-point arithmetic, # with the help of the Gnu Multiple Precision (GMP) library mpols INF 0 PBI eval mean($uhat) # -1.4953213e-14 The order of 10^-14 is a good approximation for zero (I) A lss tested soft : Stata, Eviews, R (cran), R (Microsoft), python give the same results 2) The regression is incorrect in ECONOMETRIC sense as a consequence of at minimum 2 reasons: (i) outliers for hyperinflation period (circa 1990) (ii) PBI is obviously non-stationary In the last case, besides summing up to zero, the residuals could behave as strangely as they prefer to do Oleh 2 березня 2017, 01:17:09, від "HEBERT SUAREZ CAHUANA" < hsuarezc(a)unsa.edu.pe&gt;: > I sent my dataset, I run regresion INF on PBI > > _______________________________________________ > Gretl-users mailing list > Gretl-users(a)lists.wfu.edu > http://lists.wfu.edu/mailman/listinfo/gretl-users _______________________________________________ Gretl-users mailing list Gretl-users(a)lists.wfu.edu http://lists.wfu.edu/mailman/listinfo/gretl-users