HTML Code:
di "model1" reg logvalue loc_two ib2.reg_no ib2.iname_no, baselevels di "model2" reg logvalue ib2.reg_no#ib1.loc_three ib2.iname_no, baselevels di "model3" reg logvalue ib2.reg_no#ib1.loc_three ib2.iname_no, baselevels
Array
Any help or pointers would be extremely valuable.
-------------------------
My dataset extract is below:
Code:
* Example generated by -dataex-. To install: ssc install dataex clear input str3 iso int icode str5 iname double logvalue str3 reg byte loc long(loc_two loc_three reg_no) float(loc_avg_byreg loc_avg_byreg_bylowmedhigh) long iname_no "SDN" 121 "rowh" 5.37338 "AFR" 27 1 1 1 38.49152 38.5 2 "TGO" 121 "rowh" 4.524546 "AFR" 8 1 1 1 38.49152 38.5 2 "TCD" 131 "singh" 5.021682 "AFR" 31 1 1 1 38.49152 38.5 3 "MOZ" 111 "apt" .1282708 "AFR" 70 1 1 1 38.49152 38.5 1 "SDN" 111 "apt" 6.988078 "AFR" 11 1 1 1 38.49152 38.5 1 "ZWE" 111 "apt" 9.015048 "AFR" 24 1 1 1 38.49152 38.5 1 "TZA" 121 "rowh" 6.139424 "AFR" 21 1 1 1 38.49152 38.5 2 "GIN" 131 "singh" 4.866584 "AFR" 19 1 1 1 38.49152 38.5 3 "CAF" 121 "rowh" 6.62749 "AFR" 69 1 1 1 38.49152 38.5 2 "MOZ" 121 "rowh" -.0105818 "AFR" 28 1 1 1 38.49152 38.5 2 "COM" 131 "singh" 6.98497 "AFR" 27 1 1 1 38.49152 38.5 3 "ZWE" 121 "rowh" 10.278447 "AFR" 61 1 1 1 38.49152 38.5 2 "BFA" 131 "singh" 6.457775999999999 "AFR" 3 1 1 1 38.49152 38.5 3 "MWI" 121 "rowh" 5.498448 "AFR" 57 1 1 1 38.49152 38.5 2 "CAF" 111 "apt" 15.122898 "AFR" 72 1 1 1 38.49152 38.5 1 "TCD" 121 "rowh" 5.95384 "AFR" 60 1 1 1 38.49152 38.5 2 "MLI" 111 "apt" 4.794288 "AFR" 19 1 1 1 38.49152 38.5 1 "TGO" 131 "singh" 4.50364 "AFR" 75 1 1 1 38.49152 38.5 3 "MDG" 121 "rowh" 9.989835 "AFR" 5 1 1 1 38.49152 38.5 2 "MWI" 111 "apt" 6.311838 "AFR" 68 1 1 1 38.49152 38.5 1 "TZA" 111 "apt" 14.846439 "AFR" 49 1 1 1 38.49152 38.5 1 "LSO" 111 "apt" 7.48737 "AFR" 39 1 1 1 38.49152 38.5 1 "BFA" 111 "apt" 5.45868 "AFR" 12 1 1 1 38.49152 38.5 1 "ZWE" 131 "singh" 9.559737 "AFR" 69 1 1 1 38.49152 38.5 3 "BWA" 111 "apt" 12.934521 "AFR" 16 2 2 1 38.49152 27.2 1 "STP" 111 "apt" 12.508428000000002 "AFR" 50 2 2 1 38.49152 27.2 1 "TUN" 121 "rowh" 7.394730000000001 "AFR" 26 2 2 1 38.49152 27.2 2 "DJI" 131 "singh" 7.753636 "AFR" 40 2 2 1 38.49152 27.2 3 "STP" 121 "rowh" 7.487616 "AFR" 4 2 2 1 38.49152 27.2 2 "EGY" 121 "rowh" 5.260737 "AFR" 73 1 3 1 38.49152 34.4 2 "COG" 111 "apt" 10.679106 "AFR" 24 2 3 1 38.49152 34.4 1 "ZAF" 131 "singh" 6.535342 "AFR" 5 2 3 1 38.49152 34.4 3 "GNB" 131 "singh" 5.685435 "AFR" 66 1 3 1 38.49152 34.4 3 "SLE" 111 "apt" .4158218 "AFR" 25 1 3 1 38.49152 34.4 1 "NGA" 121 "rowh" 8.017478 "AFR" 29 1 3 1 38.49152 34.4 2 "SLE" 131 "singh" .108217 "AFR" 70 1 3 1 38.49152 34.4 3 "CMR" 131 "singh" 3.327538 "AFR" 0 2 3 1 38.49152 34.4 3 "MRT" 131 "singh" 4.600688 "AFR" 1 2 3 1 38.49152 34.4 3 "CIV" 121 "rowh" 8.939619 "AFR" 62 1 3 1 38.49152 34.4 2 "CPV" 131 "singh" 13.566194999999999 "AFR" 23 2 3 1 38.49152 34.4 3 "ZMB" 121 "rowh" 4.65996 "AFR" 16 1 3 1 38.49152 34.4 2 "COD" 121 "rowh" 10.213868999999999 "AFR" 20 1 3 1 38.49152 34.4 2 "GMB" 131 "singh" 5.26998 "AFR" 55 2 3 1 38.49152 34.4 3 "GMB" 121 "rowh" 3.700236 "AFR" 9 2 3 1 38.49152 34.4 2 "GNB" 121 "rowh" 3.811196 "AFR" 26 1 3 1 38.49152 34.4 2 "LBR" 131 "singh" -.9756258 "AFR" 44 1 3 1 38.49152 34.4 3 "GHA" 111 "apt" 2.187604 "AFR" 67 2 3 1 38.49152 34.4 1 "CMR" 121 "rowh" 5.9158740000000005 "AFR" 61 2 3 1 38.49152 34.4 2 "GHA" 121 "rowh" 2.74744 "AFR" 12 2 3 1 38.49152 34.4 2 "RWA" 131 "singh" . "AFR" 51 . . 1 38.49152 52.3 3 "MDG" 111 "apt" . "AFR" 61 . . 1 38.49152 52.3 1 "NER" 131 "singh" . "AFR" 66 . . 1 38.49152 52.3 3 "MAR" 111 "apt" . "AFR" 22 . . 1 38.49152 52.3 1 "KEN" 131 "singh" . "AFR" 62 . . 1 38.49152 52.3 3 "RWA" 121 "rowh" . "AFR" 37 . . 1 38.49152 52.3 2 "GNQ" 121 "rowh" . "AFR" 57 . . 1 38.49152 52.3 2 "NER" 121 "rowh" . "AFR" 52 . . 1 38.49152 52.3 2 "NER" 111 "apt" . "AFR" 60 . . 1 38.49152 52.3 1 "KEN" 111 "apt" . "AFR" 55 . . 1 38.49152 52.3 1 "LKA" 121 "rowh" 5.467266 "ASS" 5 1 1 2 39.92593 35.2 2 "NPL" 131 "singh" 5.685594 "ASS" 66 1 1 2 39.92593 35.2 3 "LAO" 111 "apt" 13.746132 "ASS" 38 1 1 2 39.92593 35.2 1 "NPL" 121 "rowh" 9.361314 "ASS" 23 1 1 2 39.92593 35.2 2 "VNM" 111 "apt" 12.520692 "ASS" 69 1 1 2 39.92593 35.2 1 "KHM" 131 "singh" 7.321506 "ASS" 63 1 1 2 39.92593 35.2 3 "PAK" 121 "rowh" 10.092891 "ASS" 8 1 1 2 39.92593 35.2 2 "IND" 131 "singh" 3.48847 "ASS" 2 1 1 2 39.92593 35.2 3 "BGD" 111 "apt" 5.834018 "ASS" 6 1 1 2 39.92593 35.2 1 "PAK" 131 "singh" 10.317051000000001 "ASS" 72 1 1 2 39.92593 35.2 3 "MYS" 111 "apt" 7.726392 "ASS" 62 2 2 2 39.92593 27.2 1 "HKG" 111 "apt" 17.524068 "ASS" 25 2 2 2 39.92593 27.2 1 "SGP" 131 "singh" 16.799154 "ASS" 16 2 2 2 39.92593 27.2 3 "BRN" 131 "singh" 8.270946 "ASS" 6 2 2 2 39.92593 27.2 3 "MYS" 121 "rowh" 6.677806 "ASS" 27 2 2 2 39.92593 27.2 2 "FJI" 131 "singh" 11.950464 "ASS" 31 2 3 2 39.92593 40.33333 3 "CHN" 121 "rowh" 8.909274 "ASS" 32 2 3 2 39.92593 40.33333 2 "PHL" 121 "rowh" 8.398322 "ASS" 58 1 3 2 39.92593 40.33333 2 "MDV" 121 "rowh" . "ASS" 61 . . 2 39.92593 52.11111 2 "IND" 121 "rowh" . "ASS" 63 . . 2 39.92593 52.11111 2 "MDV" 111 "apt" . "ASS" 51 . . 2 39.92593 52.11111 1 "SGP" 121 "rowh" . "ASS" 38 . . 2 39.92593 52.11111 2 "TWN" 131 "singh" . "ASS" 37 . . 2 39.92593 52.11111 3 "SGP" 111 "apt" . "ASS" 49 . . 2 39.92593 52.11111 1 "THA" 131 "singh" . "ASS" 52 . . 2 39.92593 52.11111 3 "BRN" 121 "rowh" . "ASS" 66 . . 2 39.92593 52.11111 2 "BTN" 131 "singh" . "ASS" 52 . . 2 39.92593 52.11111 3 "TUR" 131 "singh" 9.097641 "EUR" 24 2 2 3 34.82927 28 3 "ESP" 111 "apt" 8.816412 "EUR" 9 2 2 3 34.82927 28 1 "CYP" 131 "singh" 11.444343 "EUR" 7 2 2 3 34.82927 28 3 "DEU" 111 "apt" 8.927552 "EUR" 58 2 2 3 34.82927 28 1 "CZE" 111 "apt" 6.732264 "EUR" 15 2 2 3 34.82927 28 1 "BGR" 111 "apt" 7.344314 "EUR" 10 2 2 3 34.82927 28 1 "ISL" 131 "singh" 14.261076 "EUR" 73 2 2 3 34.82927 28 3 "FRA" 111 "apt" 9.032362 "EUR" 28 2 2 3 34.82927 28 1 "ROU" 131 "singh" 7.742768 "EUR" 43 2 3 3 34.82927 40.25 3 "AUT" 131 "singh" 8.639694 "EUR" 68 2 3 3 34.82927 40.25 3 "IRL" 111 "apt" 15.145686000000001 "EUR" 16 2 3 3 34.82927 40.25 1 "PRT" 111 "apt" 12.365462999999998 "EUR" 34 2 3 3 34.82927 40.25 1 "KOR" 111 "apt" . "EUR" 71 . . 3 34.82927 35.96552 1 "USA" 131 "singh" . "EUR" 44 . . 3 34.82927 35.96552 3 "CAN" 111 "apt" . "EUR" 74 . . 3 34.82927 35.96552 1 "MNE" 111 "apt" . "EUR" 32 . . 3 34.82927 35.96552 1 "CAN" 131 "singh" . "EUR" 24 . . 3 34.82927 35.96552 3 "FIN" 111 "apt" . "EUR" 21 . . 3 34.82927 35.96552 1 "ALB" 131 "singh" . "EUR" 16 . . 3 34.82927 35.96552 3 "AUS" 111 "apt" . "EUR" 22 . . 3 34.82927 35.96552 1 "ISR" 131 "singh" . "EUR" 14 . . 3 34.82927 35.96552 3 "GEO" 131 "singh" . "EUR" 60 . . 3 34.82927 35.96552 3 "ALB" 111 "apt" . "EUR" 0 . . 3 34.82927 35.96552 1 "RUS" 131 "singh" . "EUR" 17 . . 3 34.82927 35.96552 3 "JPN" 111 "apt" . "EUR" 47 . . 3 34.82927 35.96552 1 "NZL" 111 "apt" . "EUR" 60 . . 3 34.82927 35.96552 1 "MLT" 111 "apt" . "EUR" 26 . . 3 34.82927 35.96552 1 "LTU" 111 "apt" . "EUR" 15 . . 3 34.82927 35.96552 1 "GEO" 111 "apt" . "EUR" 38 . . 3 34.82927 35.96552 1 "CRI" 131 "singh" . "EUR" 66 . . 3 34.82927 35.96552 3 "LVA" 111 "apt" . "EUR" 42 . . 3 34.82927 35.96552 1 "MKD" 111 "apt" . "EUR" 3 . . 3 34.82927 35.96552 1 "SVN" 131 "singh" . "EUR" 22 . . 3 34.82927 35.96552 3 "JPN" 131 "singh" . "EUR" 67 . . 3 34.82927 35.96552 3 "HRV" 131 "singh" . "EUR" 69 . . 3 34.82927 35.96552 3 "SVK" 111 "apt" . "EUR" 37 . . 3 34.82927 35.96552 1 "NLD" 111 "apt" . "EUR" 45 . . 3 34.82927 35.96552 1 "POL" 131 "singh" . "EUR" 29 . . 3 34.82927 35.96552 3 "MLT" 131 "singh" . "EUR" 18 . . 3 34.82927 35.96552 3 "CRI" 111 "apt" . "EUR" 50 . . 3 34.82927 35.96552 1 "SVK" 131 "singh" . "EUR" 14 . . 3 34.82927 35.96552 3 "DOM" 121 "rowh" 7.294905 "LAC" 4 2 2 4 37.384617 4 2 "VCT" 111 "apt" 10.440363 "LAC" 25 2 3 4 37.384617 27.666666 1 "ECU" 111 "apt" 12.602373 "LAC" 38 2 3 4 37.384617 27.666666 1 "HND" 111 "apt" 13.824459 "LAC" 20 2 3 4 37.384617 27.666666 1 "CYM" 111 "apt" . "LAC" 58 . . 4 37.384617 40.22727 1 "BMU" 111 "apt" . "LAC" 36 . . 4 37.384617 40.22727 1 "CUW" 111 "apt" . "LAC" 31 . . 4 37.384617 40.22727 1 "GUY" 111 "apt" . "LAC" 35 . . 4 37.384617 40.22727 1 "ABW" 121 "rowh" . "LAC" 58 . . 4 37.384617 40.22727 2 "BON" 121 "rowh" . "LAC" 20 . . 4 37.384617 40.22727 2 "MSR" 131 "singh" . "LAC" 53 . . 4 37.384617 40.22727 3 "ABW" 131 "singh" . "LAC" 0 . . 4 37.384617 40.22727 3 "BOL" 121 "rowh" . "LAC" 25 . . 4 37.384617 40.22727 2 "BRB" 121 "rowh" . "LAC" 11 . . 4 37.384617 40.22727 2 "NIC" 111 "apt" . "LAC" 73 . . 4 37.384617 40.22727 1 "PRY" 111 "apt" . "LAC" 32 . . 4 37.384617 40.22727 1 "GUY" 131 "singh" . "LAC" 72 . . 4 37.384617 40.22727 3 "PAN" 121 "rowh" . "LAC" 56 . . 4 37.384617 40.22727 2 "BOL" 111 "apt" . "LAC" 5 . . 4 37.384617 40.22727 1 "BHS" 131 "singh" . "LAC" 65 . . 4 37.384617 40.22727 3 "BOL" 131 "singh" . "LAC" 22 . . 4 37.384617 40.22727 3 "BHS" 111 "apt" . "LAC" 58 . . 4 37.384617 40.22727 1 "URY" 111 "apt" . "LAC" 10 . . 4 37.384617 40.22727 1 "MSR" 111 "apt" . "LAC" 72 . . 4 37.384617 40.22727 1 "JAM" 131 "singh" . "LAC" 32 . . 4 37.384617 40.22727 3 "PAN" 131 "singh" . "LAC" 61 . . 4 37.384617 40.22727 3 end label values loc_two loc_two_1 label def loc_two_1 1 "high", modify label def loc_two_1 2 "low", modify label values loc_three loc_three_1 label def loc_three_1 1 "high_r", modify label def loc_three_1 2 "low_r", modify label def loc_three_1 3 "med_r", modify label values reg_no reg_no label def reg_no 1 "AFR", modify label def reg_no 2 "ASS", modify label def reg_no 3 "EUR", modify label def reg_no 4 "LAC", modify label values iname_no iname_no label def iname_no 1 "apt", modify label def iname_no 2 "rowh", modify label def iname_no 3 "singh", modify
0 Response to Saving regression coefficients from 3 regressions in one same dataset
Post a Comment