Hello, I am looking at whether losing a partner effects an individual's political view. I have a panel data and have ran a Fixed Effects Ordered Logit Model using the user written 'feologit' command.
Code:
feologit polviews loss inc educ sex age race ethnic family class, nolog or
After the estimation, I tried to predict probabilities using the 'prvalue' and 'predict' command but I have been unsucessful.
Therefore, is there another way I can run a FE Ordered Logit model instead of using 'feologit'? And is there another way I can predict the probabilities?
Attached below is an extract from my dataset, thank you.
Thank you.
Code:
feologit polviews loss inc educ sex age race ethnic family class, nolog or
After the estimation, I tried to predict probabilities using the 'prvalue' and 'predict' command but I have been unsucessful.
Therefore, is there another way I can run a FE Ordered Logit model instead of using 'feologit'? And is there another way I can predict the probabilities?
Attached below is an extract from my dataset, thank you.
Code:
* Example generated by -dataex-. To install: ssc install dataex clear input float id byte polviews float loss byte(inc educ sex age race ethnic family class) 115 3 0 12 13 2 22 3 17 1 2 115 3 1 9 13 2 24 3 17 1 3 432 6 0 12 12 1 73 1 18 1 3 432 6 1 12 12 1 75 1 18 1 3 518 3 0 12 11 2 32 1 17 1 2 518 4 1 11 12 2 34 1 17 0 2 536 4 0 12 16 2 72 1 15 1 3 536 5 1 12 16 2 74 1 2 1 3 544 3 0 12 16 1 34 3 5 1 2 544 3 1 4 16 1 36 3 5 6 3 551 4 0 12 16 1 62 1 11 1 2 551 4 1 12 16 1 64 1 11 1 3 553 4 0 12 18 1 38 1 11 1 3 553 3 1 12 18 1 40 1 27 1 3 583 6 0 12 14 2 54 1 30 1 2 583 5 1 12 13 2 56 1 11 1 2 606 5 0 12 13 1 49 1 8 1 2 606 5 1 5 12 1 51 1 24 1 2 615 4 0 12 16 2 51 1 7 1 3 615 2 1 12 16 2 53 1 7 1 3 634 3 0 12 16 1 .n 2 .a 1 3 634 .d 1 12 16 1 57 2 1 5 2 636 5 0 12 14 1 55 2 1 1 3 636 5 1 12 14 1 57 2 1 1 3 654 4 0 12 12 1 49 2 1 3 2 654 4 1 12 12 1 51 2 .u 3 2 671 4 0 12 15 2 41 2 .u 5 2 671 4 1 12 14 2 43 2 30 5 4 678 2 0 12 16 2 37 1 .u 1 3 678 2 1 12 16 2 39 1 11 1 3 689 5 0 12 12 2 60 1 15 1 3 689 5 1 12 12 2 62 1 15 1 3 819 4 0 12 16 2 24 1 21 1 3 819 3 1 12 16 2 26 1 21 1 3 825 2 0 .a 13 2 63 2 1 1 4 825 5 1 12 12 2 65 1 1 1 2 1032 5 0 12 12 1 41 1 17 5 2 1032 2 1 12 12 1 43 1 17 5 2 1108 6 0 .a 12 2 45 1 8 1 3 1108 4 1 12 12 2 .n 1 8 1 3 1208 5 0 12 19 2 63 1 8 1 3 1208 6 1 12 19 2 65 1 8 1 3 1223 7 0 12 12 2 46 1 27 1 3 1223 7 1 12 12 2 48 1 27 1 3 1225 4 0 12 18 2 54 1 .u 1 3 1225 5 1 12 18 2 56 1 11 1 3 1300 4 0 12 12 2 67 1 14 1 3 1300 4 1 12 12 2 69 1 14 1 3 1307 5 0 12 18 2 63 1 11 1 3 1307 5 1 12 18 2 65 1 11 1 3 1308 4 0 12 16 2 68 3 14 1 3 1308 4 1 6 16 2 70 1 14 1 2 1352 1 0 9 12 2 45 2 .u 5 4 1352 4 1 9 11 2 47 2 .u 1 1 1431 6 0 12 20 1 72 1 11 5 3 1431 7 1 12 18 1 74 1 11 1 3 1432 5 0 12 16 2 87 1 26 1 3 1432 4 1 12 16 2 89 1 .u 1 3 1473 4 0 12 13 2 84 1 23 5 3 1473 4 1 .a 12 2 81 1 41 5 3 1476 4 0 12 18 1 53 1 23 1 3 1476 3 1 12 18 1 55 1 23 1 3 1860 4 0 11 12 1 65 1 29 1 1 1860 5 1 8 12 1 67 1 6 1 2 1889 4 0 12 12 2 64 1 15 1 3 1889 7 1 12 12 2 66 1 .u 1 4 2005 6 0 12 16 1 79 1 15 1 3 2005 6 1 12 16 1 81 1 15 1 3 2089 6 0 12 17 2 29 1 14 3 2 2089 6 1 12 17 2 31 1 14 1 2 2281 5 0 12 12 2 48 1 .u 1 3 2281 5 1 12 12 2 50 1 .u 1 2 2291 .d 0 12 14 2 34 1 26 1 2 2291 4 1 12 12 2 36 1 .u 1 2 2303 4 0 12 12 1 32 1 30 1 2 2303 3 1 11 12 1 34 1 11 1 2 2338 5 0 12 16 2 79 1 8 1 3 2338 6 1 12 16 2 81 1 14 1 3 2346 .d 0 9 6 2 51 1 .u 8 1 2346 7 1 7 5 2 53 1 .u 5 1 2349 6 0 12 16 1 61 1 14 5 4 2349 6 1 12 19 1 63 1 14 1 4 2532 5 0 12 16 1 30 1 14 1 3 2532 6 1 12 16 1 32 1 14 1 3 2563 3 0 12 17 2 32 1 24 1 2 2563 3 1 12 16 2 34 1 14 1 2 2566 6 0 12 12 2 76 1 11 1 2 2566 5 1 12 14 2 78 1 11 1 2 2641 3 0 12 16 2 37 1 8 1 3 2641 4 1 12 16 2 39 1 8 1 3 2658 7 0 12 16 2 61 1 8 5 2 2658 6 1 12 16 2 63 1 8 5 3 2711 2 0 12 6 1 73 3 38 1 3 2711 2 1 12 20 1 75 1 38 1 3 2720 5 0 12 15 2 45 3 17 5 2 2720 3 1 12 15 2 47 3 17 5 3 2750 4 0 12 16 2 39 3 17 8 2 2750 4 1 12 16 2 41 1 17 0 2 2770 2 0 12 20 1 57 2 1 5 3 2770 1 1 12 20 1 59 2 1 5 1 end label values polviews LABIU label def LABIU 1 "extremely liberal", modify label def LABIU 2 "liberal", modify label def LABIU 3 "slightly liberal", modify label def LABIU 4 "moderate", modify label def LABIU 5 "slghtly conservative", modify label def LABIU 6 "conservative", modify label def LABIU 7 "extrmly conservative", modify label def LABIU .d "DK", modify label values inc inc_label label def inc_label 4 "$ 4,000 to 4,999", modify label def inc_label 5 "$ 5,000 to 5,999", modify label def inc_label 6 "$ 6,000 to 6,999", modify label def inc_label 7 "$ 7,000 to 7,999", modify label def inc_label 8 "$ 8,000 to 9,999", modify label def inc_label 9 "$10,000 to 14,999", modify label def inc_label 11 "$20,000 to 24,999", modify label def inc_label 12 "$25,000 or over", modify label values educ educ_label label def educ_label 5 "5th grade", modify label def educ_label 6 "6th grade", modify label def educ_label 11 "11th grade", modify label def educ_label 12 "12th grade", modify label def educ_label 13 "1 year college", modify label def educ_label 14 "2 years college", modify label def educ_label 15 "3 years college", modify label def educ_label 16 "4 years college", modify label def educ_label 17 "5 years college", modify label def educ_label 18 "6 years college", modify label def educ_label 19 "7 years college", modify label def educ_label 20 "8 years college", modify label values sex SEX_3 label def SEX_3 1 "male", modify label def SEX_3 2 "female", modify label values age AGE_3 label def AGE_3 89 "89 or older", modify label def AGE_3 .n "NA", modify label values race LABJG label def LABJG 1 "white", modify label def LABJG 2 "black", modify label def LABJG 3 "other", modify label values ethnic LABCE label def LABCE 1 "africa", modify label def LABCE 2 "austria", modify label def LABCE 5 "china", modify label def LABCE 6 "czechoslovakia", modify label def LABCE 7 "denmark", modify label def LABCE 8 "england & wales", modify label def LABCE 11 "germany", modify label def LABCE 14 "ireland", modify label def LABCE 15 "italy", modify label def LABCE 17 "mexico", modify label def LABCE 18 "netherlands", modify label def LABCE 21 "poland", modify label def LABCE 23 "russia", modify label def LABCE 24 "scotland", modify label def LABCE 26 "sweden", modify label def LABCE 27 "switzerland", modify label def LABCE 29 "other", modify label def LABCE 30 "american indian", modify label def LABCE 38 "other spanish", modify label def LABCE 41 "other european", modify label def LABCE .a "NA", modify label values family LABCQ label def LABCQ 0 "other", modify label def LABCQ 1 "mother & father", modify label def LABCQ 3 "mother & stpfather", modify label def LABCQ 5 "mother", modify label def LABCQ 6 "male relative", modify label def LABCQ 8 "m and f relatives", modify label values class LABAN label def LABAN 1 "lower class", modify label def LABAN 2 "working class", modify label def LABAN 3 "middle class", modify label def LABAN 4 "upper class", modify
