web appendix - sara.ayllon

Web Appendix

Social Indicators Research

The interrelationships between the Europe 2020

poverty and social exclusion indicators

Sara Ayllón and András Gábos

Variables list key (if not obvious):

(all the variables that end with _x are means)

Agesq = age squared

Health = poor health status (self-assessed)

Divor = divorced person

Lowedu = low education attainment

Midedu = mid education attainment

Sc05 = number of children between the ages of 0 and 5 in the household



Hsize = household size

Free = the household does not pay rent or mortgage

W200x = wave variables

wi = (dummy) low work intensity

dep = (dummy) severe material deprivation

lagpoor = lagged poverty status

lagdep = lagged severe material deprivation status

lagwi = lagged low work intensity status

poor0 = poor initial condition

dep0 = severe material deprivation initial condition

wi0 = low work intensity initial condition

rx = refers to regions (NUTS 1 or 2 depending on the country)

IRELAND

Convergence based on:

Weighted gradient norm: .0821223 < .1

Relative function improvement: 1.42E-07

Gradient norm: 494.4483

Relative parameter change: .8452008

======================================================================

Log Likelihood: -8526.2171

BHHH-based, non-corrected

Parameter Free? Estimate Std Err T-statistic

1 _cons T -1.7359156224 .27832726917 -6.2370

2 female T -.01319448367 .03995992883 -0.3302

3 agex T .10887349007 0.109290015 0.9962

4 agesqx T -.00037838706 .00125563187 -0.3014

5 healthx T -.06711304256 .22200529188 -0.3023

6 singlex T -.60807360659 .56719316677 -1.0721

7 divorx T -.85141242241 0.4572825927 -1.8619

8 widowx T -0.5222521649 .39857399796 -1.3103

9 lowedux T .86443505776 .32812733207 2.6345

10 midedux T .38294488078 0.2113232276 1.8121

11 sc05x T -.22422612339 .12216438597 -1.8354

12 sc612x T -.06132951566 .10726288162 -0.5718

13 sc1317x T .59120715601 .09415377631 6.2792

14 hsizex T .15993255052 .06510701242 2.4565

15 rentx T .70254495265 .37938327746 1.8518

16 freex T 0.5427070679 .32414255001 1.6743

17 age T -.12931247086 .11095806015 -1.1654

18 agesq T .00069181458 .00125817975 0.5499

19 health T 0.0281288603 0.1895104559 0.1484

20 single T .65056861076 .56648217008 1.1484

21 divor T .91664113453 .44659482423 2.0525

22 widow T .29969707417 .35686391828 0.8398

23 lowedu T -.25606278407 .31790806393 -0.8055

24 midedu T .03722921847 .19891112962 0.1872

25 sc05 T .48252149664 .11156000362 4.3252

26 sc612 T .52470008366 0.10289705 5.0993

27 sc1317 T -.01652752505 .08255238914 -0.2002

28 hsize T -.43124957341 .06339684187 -6.8024

29 rent T -.61122495516 .37061970877 -1.6492

30 free T -.28909040153 .32040129872 -0.9023

31 w2006 T -.06722673058 .05819923415 -1.1551

32 w2007 T -.07477293515 .06401590182 -1.1680

33 w2008 T -.01365946897 .06148313762 -0.2222

34 w2009 T -.28956206933 .07128777728 -4.0619

35 dep T .14528578832 .15745196132 0.9227

36 wi T 1.1379312597 .14417909667 7.8925

37 lagpoor T 0.6893267897 .08682629678 7.9391

38 lagdep T 0.1596381918 .15319532114 1.0421

39 lagwi T .00911344766 .11847588627 0.0769

40 poor0 T 1.1089637358 .12433643343 8.9191

41 dep0 T -.27828632529 .17519044107 -1.5885

42 wi0 T -.13820537013 .16524850441 -0.8363

43 _cons T -4.2614324734 .55111741195 -7.7323

44 female T 0.0076609428 .07132109072 0.1074

45 agex T -.04133694662 .17850320263 -0.2316

46 agesqx T .00115170201 .00213246739 0.5401

47 healthx T .50622564613 .28736008654 1.7616

48 singlex T -.80296440369 1.0221160252 -0.7856

49 divorx T -.94665812847 .70089590974 -1.3506

50 widowx T -.65821463454 .73307454368 -0.8979

51 lowedux T 1.2028312004 .56275764106 2.1374

52 midedux T .50217812778 .36743776476 1.3667

53 sc05x T -.04533983526 0.2809574979 -0.1614

54 sc612x T -.35981146208 .24160879598 -1.4892

55 sc1317x T -.36512218571 .21291972403 -1.7148

56 hsizex T .24798778607 .15885250836 1.5611

57 rentx T 1.0364423743 .60673802357 1.7082

58 freex T .70019335493 .46438161133 1.5078

59 age T .05162572564 .18106272996 0.2851

60 agesq T -.00135110524 .00214105498 -0.6310

61 health T .53765427218 0.2163310089 2.4853

62 single T 1.1308383806 1.0212704538 1.1073

63 divor T 1.3322305963 .69218043173 1.9247

64 widow T .92168045113 .66778564226 1.3802

65 lowedu T -.35802533659 .54203679048 -0.6605

66 midedu T -0.0500457325 .34380396192 -0.1456

67 sc05 T .29511340027 0.2611543123 1.1300

68 sc612 T .43238641962 .23691027312 1.8251

69 sc1317 T .35385742009 .20514452204 1.7249

70 hsize T -.28306819669 .15461438579 -1.8308

71 rent T .01991441411 .57032140578 0.0349

72 free T .15935378753 .45058483337 0.3537

73 w2006 T .11520622158 .10895653198 1.0574

74 w2007 T -.10342940047 .11561123452 -0.8946

75 w2008 T .37831494289 .11499586305 3.2898

76 w2009 T .29859435811 .12417115386 2.4047

77 wi T .50653426833 .25241705115 2.0067

78 lagpoor T .19198554627 .16027816262 1.1978

79 lagdep T .38638966386 .15071779515 2.5637

80 lagwi T .15734123274 .18056777546 0.8714

81 poor0 T .34382037832 .16194801895 2.1230

82 dep0 T 1.591573946 .24470915938 6.5039

83 wi0 T -.18508066941 .29468673191 -0.6281

84 _cons T -2.7885350188 .34111559443 -8.1748

85 female T .09985504209 .05170074443 1.9314

86 agex T -.09543831007 .12254649406 -0.7788

87 agesqx T .00212527985 .00143089718 1.4853

88 healthx T 1.109351235 .24738878801 4.4842

89 singlex T -.34310993621 .58688740754 -0.5846

90 divorx T .05909938821 .55609818066 0.1063

91 widowx T .69221726119 .49544581561 1.3972

92 lowedux T .34117120298 .38762676097 0.8802

93 midedux T .69759156303 .24433910636 2.8550

94 sc05x T -.78332061004 .17689814969 -4.4281

95 sc612x T -.74720934003 .14318455963 -5.2185

96 sc1317x T -.53663627385 0.1100801465 -4.8750

97 hsizex T .77142135368 .08949695015 8.6195

98 rentx T -0.5910507218 .55226131058 -1.0702

99 freex T -.42946180091 .45482007676 -0.9442

100 age T .05797631562 .12442553095 0.4660

101 agesq T -.00138499195 .00143083682 -0.9680

102 health T -.11729390073 .19698654469 -0.5954

103 single T .78079895073 .57785194976 1.3512

104 divor T .07478344363 .54393786816 0.1375

105 widow T -.25151702003 .43905320873 -0.5729

106 lowedu T .24278091076 .37905444644 0.6405

107 midedu T -.35131239415 .22319180939 -1.5740

108 sc05 T .91603764963 .17423984612 5.2573

109 sc612 T .89500481686 0.140162765 6.3855

110 sc1317 T .57018466162 .10098536518 5.6462

111 hsize T -.88428884713 .09041949226 -9.7798

112 rent T 1.0142076835 .53631123746 1.8911

113 free T .89548101406 .45014581672 1.9893

114 w2006 T .04261602498 0.078459568 0.5432

115 w2007 T .09069644523 0.0794812272 1.1411

116 w2008 T .21345938197 .08276071551 2.5792

117 w2009 T .58540580334 .09316300277 6.2837

118 lagpoor T .20199879437 .12139340127 1.6640

119 lagdep T -.05267132421 0.1836846961 -0.2867

120 lagwi T 1.5420948199 .11853269437 13.0099

121 poor0 T .32930067084 .11687025559 2.8177

122 dep0 T .33770608583 0.182663589 1.8488

123 wi0 T 1.4347835918 .23924094751 5.9972

124 eps1 T .61767629293 .08110124638 7.6161

125 eps2 T .96028836996 .14130956922 6.7956

126 eps3 T .78149354482 .11514660698 6.7869

127 rho12 T .04631609483 .18765517327 0.2468

128 rho13 T .48652006727 .18170057531 2.6776

129 rho23 T .05614271981 .21027307093 0.2670

UK






======================================================================




1 _cons T -1.9330517928 .20386863427 -9.4818

2 female T .02963482763 .03003596409 0.9866

3 agex T -.14538567975 .08000928365 -1.8171

4 agesqx T 0.0011025196 .00092421396 1.1929

5 healthx T .07615807934 .13184586606 0.5776

6 singlex T -.18189853676 .15147112328 -1.2009

7 divorx T -.29683070121 .16330554307 -1.8176

8 widowx T -.10463672613 .18551449585 -0.5640

9 midedux T .36886658811 .09071427555 4.0662

10 sc05x T .02364516601 .09676528647 0.2444

11 sc612x T .11792646258 .08803344851 1.3396

12 sc1317x T .18723468413 .07333234521 2.5532

13 rentx T -.07929429638 .16972429705 -0.4672

14 freex T -.15264788729 0.1802717657 -0.8468

15 city2x T -.25522578367 .35097781778 -0.7272

16 city3x T .49986807649 0.3566812673 1.4014

17 hsizex T -.10809507551 .05502058363 -1.9646

18 age T .11751370608 .08142278328 1.4433

19 agesq T -.00063617141 .00093016323 -0.6839

20 health T -.07194012076 .10098832005 -0.7124

21 single T 0.2749136798 .14462138169 1.9009

22 divor T .31425590833 .15062850842 2.0863

23 widow T .11432255193 0.1729352649 0.6611

24 midedu T .06036400927 .08328904949 0.7248

25 sc05 T .29859346805 .08886283707 3.3602

26 sc612 T .16422629179 .08277258015 1.9841

27 sc1317 T .16486911786 .06694731763 2.4627

28 rent T 0.4600764733 0.1625643664 2.8301

29 free T .60411725331 .17187479312 3.5149

30 city2 T .20855549671 .34915171401 0.5973

31 city3 T -.53420259709 0.3538680457 -1.5096

32 hsize T -.01840164963 .05170184607 -0.3559

33 w2007 T .00811097516 .04250524609 0.1908

34 w2008 T -.05755605334 .05532857857 -1.0403

35 w2009 T -.17343007358 .07259911089 -2.3889

36 w2010 T -.10623179554 .09083932449 -1.1694

37 r2 T -.08373260719 .09472785059 -0.8839

38 r3 T .04531458017 .09804839297 0.4622

39 r4 T -.03759277941 .11097134506 -0.3388

40 r5 T .23977772874 .09863359733 2.4310

41 r6 T -.00695532329 .09796708988 -0.0710

42 r7 T .01021429074 .09193682172 0.1111

43 r8 T -.10572498972 0.092102657 -1.1479

44 r9 T -.08653753095 .13611800202 -0.6358

45 r10 T .14624205644 .11269085062 1.2977

46 r11 T -.05753781654 .10273598443 -0.5601

47 dep T -0.0437504866 .11574570631 -0.3780

48 wi T .55636191933 0.0911786846 6.1019

49 lagpoor T .68366284382 .05168693755 13.2270

50 lagdep T -.09097164429 .08942437097 -1.0173

51 lagwi T -.09329403641 .06631570096 -1.4068

52 poor0 T .71811567076 .06623963471 10.8412

53 dep0 T .39824897236 .10006624643 3.9799

54 wi0 T .28332070282 .08001722797 3.5407

55 _cons T -3.8862358816 .39301823048 -9.8882

56 female T -.00331780198 .05417371157 -0.0612

57 agex T .15384713058 .14146057434 1.0876

58 agesqx T -.00237828119 .00173815603 -1.3683

59 healthx T .06312005732 .19948574349 0.3164

60 singlex T .17549296739 .24410023476 0.7189

61 divorx T .37688142002 .29573583972 1.2744

62 widowx T .53586893788 .31730654212 1.6888

63 midedux T .07366863007 .16944032935 0.4348

64 sc05x T -.21267646139 .19000828203 -1.1193

65 sc612x T -.20753209439 .18239387932 -1.1378

66 sc1317x T -.12379695992 .13545279377 -0.9139

67 rentx T .56371793997 0.36949579 1.5256

68 freex T 1.0813960156 .37699951186 2.8684

69 city2x T -0.195598522 .96123745136 -0.2035

70 city3x T -.82337478957 1.1849801201 -0.6948

71 hsizex T .24586090304 0.1035299092 2.3748

72 age T -.12574028192 .14211034586 -0.8848

73 agesq T .00190589348 .00172256699 1.1064

74 health T .30492036113 .15452329711 1.9733

75 single T .15003931376 .23047720337 0.6510

76 divor T .02271032608 0.2727430826 0.0833

77 widow T -.04069028707 .30254006233 -0.1345

78 midedu T .09458200963 .15704699501 0.6023

79 sc05 T 0.2646644087 .17338705854 1.5264

80 sc612 T .20910540485 .17143336049 1.2197

81 sc1317 T .13724728019 .13130087743 1.0453

82 rent T .08392893211 0.3612091431 0.2324

83 free T -.10744486502 .36351596506 -0.2956

84 city2 T .24399128717 .95740666897 0.2548

85 city3 T .32999544509 1.1698501435 0.2821

86 hsize T -.24522209286 .09990341031 -2.4546

87 w2007 T .10855143239 .07868134776 1.3796

88 w2008 T .12758100709 .09863557597 1.2935

89 w2009 T -.46298820285 .13014937565 -3.5574

90 w2010 T -.09855108883 .15265626318 -0.6456

91 r2 T .31468136545 .15301600437 2.0565

92 r3 T .63541460431 .14809397811 4.2906

93 r4 T .39676475369 0.1684011921 2.3561

94 r5 T .37676346892 .17055259674 2.2091

95 r6 T .15046554986 .21500675873 0.6998

96 r7 T .61214878537 .15771574232 3.8813

97 r8 T -.15220482731 .20530945595 -0.7413

98 r9 T .09886786613 .24538896998 0.4029

99 r10 T -.08565514297 .22818108192 -0.3754

100 r11 T .00316253484 .19968641421 0.0158

101 wi T .37628864913 .15364410371 2.4491

102 lagpoor T .20622361961 .10635549985 1.9390

103 lagdep T .38518138096 0.1092518049 3.5256

104 lagwi T -.25145363013 .12583697601 -1.9982

105 poor0 T .16395040744 .10841431299 1.5123

106 dep0 T 1.0905452631 .14724056122 7.4066

107 wi0 T .29483705589 .15168774196 1.9437

108 _cons T -1.7135826506 .26944222788 -6.3597

109 female T .38106585297 .04544945073 8.3844

110 agex T -0.0587578735 .10725158665 -0.5479

111 agesqx T .00012216725 .00121402304 0.1006

112 healthx T 1.3111108605 .15758397733 8.3201

113 singlex T -.61189408764 .24275841385 -2.5206

114 divorx T -.75324715227 .22703759131 -3.3177

115 widowx T -1.0829453691 .25276055619 -4.2845

116 midedux T -.01782004218 .12731011338 -0.1400

117 sc05x T -.22507398593 .12615186061 -1.7842

118 sc612x T .00048136191 .12083420838 0.0040

119 sc1317x T -0.0592783636 .10536354604 -0.5626

120 rentx T -.14808077818 .26988683367 -0.5487

121 freex T .74992499385 .26540428387 2.8256

122 city2x T 0.0863813821 .60035532291 0.1439

123 city3x T .22889103325 1.1547643081 0.1982

124 hsizex T .03029567875 .06200986589 0.4886

125 age T -.03346811029 .10902406677 -0.3070

126 agesq T .00129833509 .00122062215 1.0637

127 health T .07711046009 0.1157028085 0.6665

128 single T .80310806365 .23086387245 3.4787

129 divor T .91299482033 .20719692848 4.4064

130 widow T .90421314375 0.2284755056 3.9576

131 midedu T .06020606194 0.1169410068 0.5148

132 sc05 T .46271274797 .11536609379 4.0108

133 sc612 T .14433186249 .11597191177 1.2445

134 sc1317 T .07354445859 0.0968041901 0.7597

135 rent T .23079640282 .25671906282 0.8990

136 free T .12272259802 .25415579101 0.4829

137 city2 T -.14012482781 .59891642124 -0.2340

138 city3 T -.06035678419 1.1450078543 -0.0527

139 hsize T -.10383665893 .05408433417 -1.9199

140 w2007 T -.09792139857 .05727125206 -1.7098

141 w2008 T -.02110731194 .07034862562 -0.3000

142 w2009 T 0.0983755821 .09348384553 1.0523

143 w2010 T -.30467383857 .11799502838 -2.5821

144 r2 T .02354399623 .12228772926 0.1925

145 r3 T -.01405267723 .13163606123 -0.1068

146 r4 T .28352639676 .14629011942 1.9381

147 r5 T -.05517069664 .13259134288 -0.4161

148 r6 T .06957918802 .12903439372 0.5392

149 r7 T .11578535895 .12771937922 0.9066

150 r8 T -.13015851161 .12391754589 -1.0504

151 r9 T .30624641274 .16841730939 1.8184

152 r10 T -.12008898788 .15378621822 -0.7809

153 r11 T -.07185521973 .13018919103 -0.5519

154 lagpoor T .41983295207 .07376380352 5.6916

155 lagdep T .27349786419 0.1344632324 2.0340

156 lagwi T 1.0028317783 .07092535287 14.1393

157 poor0 T .21578662521 .07365512442 2.9297

158 dep0 T .11811214927 .12826360385 0.9209

159 wi0 T 1.2468601297 .12095456599 10.3085

160 eps1 T 0.6061643714 .05313878415 11.4072

161 eps2 T .79167461804 .10025170778 7.8969

162 eps3 T .81565421692 .07143064989 11.4188

163 rho12 T .38555519803 .15993481346 2.4107

164 rho13 T 0.3258526449 .11595539948 2.8102

165 rho23 T .20434185085 .15773659428 1.2955

BELGIUM






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1 _cons T -3.0937716526 .25532612284 -12.1169

2 female T .02366828304 .03631598915 0.6517

3 agex T .05771113146 .07542521451 0.7651

4 agesqx T -.00004718272 .00091725762 -0.0514

5 healthx T -.16099341972 .13205795996 -1.2191

6 singlex T .47232489534 0.2757341306 1.7130

7 divorx T -0.3235128252 .17391028501 -1.8602

8 widowx T -.95678440236 .44499377032 -2.1501

9 lowedux T .49147222642 .17587974497 2.7944

10 midedux T .41778433271 .13337166236 3.1325

11 sc05x T -.26406145209 .11393707584 -2.3176

12 sc612x T -.27814360772 .10184772632 -2.7310

13 sc1317x T .02177892598 .08121281094 0.2682

14 hsizex T .24778216985 .05780337665 4.2866

15 rentx T .10561955837 .15592503131 0.6774

16 freex T .18072251652 .17479538416 1.0339

17 city2x T -.85559847666 .45702145169 -1.8721

18 city3x T -.94277160328 .97402633062 -0.9679

19 age T -.04216909023 .07632763118 -0.5525

20 agesq T -.00014799642 .00091556545 -0.1616

21 health T .09148658886 .09952641791 0.9192

22 single T -.40411078175 .26720120446 -1.5124

23 divor T .35459979933 .16112562897 2.2008

24 widow T .50650734134 .40511636785 1.2503

25 lowedu T 0.1488092544 .16105138951 0.9240

26 midedu T .01173693974 .12287928086 0.0955

27 sc05 T .45803460672 .10352702606 4.4243

28 sc612 T .33692310819 .09638826921 3.4955

29 sc1317 T 0.2880224991 0.0734159415 3.9232

30 hsize T -.23126325808 .05356996155 -4.3170

31 rent T .24105059007 .14747191479 1.6346

32 free T .28063339258 .15907832125 1.7641

33 city2 T .83417759006 .45434510202 1.8360

34 city3 T .97369308822 0.9667574828 1.0072

35 w2006 T -.10742639868 .05741857647 -1.8709

36 w2007 T .00211302048 .05928022972 0.0356

37 w2008 T -.04070123166 0.0609632897 -0.6676

38 w2009 T -.01594290672 .06433635392 -0.2478

39 w2010 T -.02443803912 .06451428675 -0.3788

40 r2 T -.38793593651 0.0632210049 -6.1362

41 r3 T -.12311665595 0.0619055754 -1.9888

42 dep T .28745538987 .11571097435 2.4843

43 wi T .84738419343 .10950593013 7.7382

44 lagpoor T .55483659904 .06676696215 8.3100

45 lagdep T .15346401453 .08303498414 1.8482

46 lagwi T .13196084545 .08693230242 1.5180

47 poor0 T 1.0837719754 0.0920817618 11.7697

48 dep0 T .34014371414 .09892953855 3.4382

49 wi0 T .24042727112 .11305983734 2.1265

50 _cons T -3.6700786437 .42289509721 -8.6785

51 female T 0.0158775542 0.0618617564 0.2567

52 agex T .29622280695 .12135751773 2.4409

53 agesqx T -.00287981208 .00152663756 -1.8864

54 healthx T 0.6130617732 .17127679464 3.5794

55 singlex T 0.1482021777 .31919754004 0.4643

56 divorx T .44261150451 .27551326196 1.6065

57 widowx T 1.2511762022 1.1251995255 1.1120

58 lowedux T .90628402092 0.2811169267 3.2239

59 midedux T .57465337779 .22079229866 2.6027

60 sc05x T .31825780954 .20418324564 1.5587

61 sc612x T .15685582168 0.1930978598 0.8123

62 sc1317x T .45046362033 .14332564873 3.1429

63 hsizex T 0.2373593799 .10191900874 2.3289

64 rentx T .70173111953 .40619960126 1.7276

65 freex T .30593370489 .42188964705 0.7252

66 city2x T .55125979187 .37046510876 1.4880

67 city3x T .08802860033 1.2077958984 0.0729

68 age T -.28475983556 .12217623927 -2.3307

69 agesq T .00257921517 .00151392999 1.7037

70 health T .16111439194 .11986407171 1.3441

71 single T .05733212035 .30695679469 0.1868

72 divor T .07443547247 .25133629609 0.2962

73 widow T -.63882692709 1.1039666688 -0.5787

74 lowedu T .00927081208 .24773540707 0.0374

75 midedu T .16484118627 0.1950268856 0.8452

76 sc05 T -0.1664061528 .18775823242 -0.8863

77 sc612 T 0.0897604549 .18642102484 0.4815

78 sc1317 T -.31031252774 .12246075859 -2.5340

79 hsize T -.24367172888 .09688534903 -2.5151

80 rent T -.02108517013 .39685726397 -0.0531

81 free T .23484407462 0.4072489656 0.5767

82 city2 T -.86957350833 .36417504725 -2.3878

83 city3 T -.34165441989 1.1951277487 -0.2859

84 w2006 T -.22786423421 .09945333364 -2.2912

85 w2007 T -.30649985203 .10023855334 -3.0577

86 w2008 T -.40934383904 .09968245716 -4.1065

87 w2009 T -.32054011596 .10426991301 -3.0741

88 w2010 T -.28930387633 .10924496541 -2.6482

89 r2 T -.99340236931 .10997391353 -9.0331

90 r3 T -.27255713721 .09130439152 -2.9851

91 wi T .39699688847 .15493337419 2.5624

92 lagpoor T .12722555812 .10207988447 1.2463

93 lagdep T .33933650757 .09626803207 3.5249

94 lagwi T .17527178846 .12363064687 1.4177

95 poor0 T .54244835327 .11733765331 4.6230

96 dep0 T 1.6698002183 .16415056258 10.1724

97 wi0 T .23173923273 .15266989601 1.5179

98 _cons T -.75535276359 .28185882448 -2.6799

99 female T .15606981144 .04588735966 3.4012

100 agex T -0.0820641849 0.0964744529 -0.8506

101 agesqx T -.00033323771 .00115172262 -0.2893

102 healthx T 1.1347341059 0.171016911 6.6352

103 singlex T -.09237063786 .35734526084 -0.2585

104 divorx T -.14898274546 .24169501485 -0.6164

105 widowx T -.14356045435 .56991680026 -0.2519

106 lowedux T .81346114283 .20245731013 4.0179

107 midedux T .45399381217 .14846840199 3.0578

108 sc05x T -.20867254423 .16961512616 -1.2303

109 sc612x T -0.3218828522 .15171295771 -2.1217

110 sc1317x T -.38598341474 .12505656115 -3.0865

111 hsizex T .28690307125 .06693593939 4.2862

112 rentx T -.10589141183 .18843078158 -0.5620

113 freex T -.30075931747 .22048999002 -1.3640

114 city2x T .20634391999 .40382045047 0.5110

115 city3x T .30754557437 1.2653836189 0.2430

116 age T -.09028886852 .09882227677 -0.9136

117 agesq T .00303224293 .00117323566 2.5845

118 health T -.09573961842 .12567988475 -0.7618

119 single T .52779495457 0.3514424459 1.5018

120 divor T .30881530191 .23016174245 1.3417

121 widow T .83225460247 .53197839727 1.5645

122 lowedu T -0.2214572875 .18201430875 -1.2167

123 midedu T -.08398709062 .13446250394 -0.6246

124 sc05 T .47869370456 .15060040204 3.1786

125 sc612 T .52485096599 .14070012346 3.7303

126 sc1317 T .44281764844 .11303635393 3.9175

127 hsize T -0.4518425851 .06359067822 -7.1055

128 rent T .29924757401 .17629353697 1.6974

129 free T .71826279042 .20172099895 3.5607

130 city2 T -.37458430746 .40147004669 -0.9330

131 city3 T -0.5753908465 1.2546293426 -0.4586

132 w2006 T .03437589836 .06466104005 0.5316

133 w2007 T -.08433475426 0.0713548024 -1.1819

134 w2008 T -.21255627335 .07503375406 -2.8328

135 w2009 T -.10411813327 .07545386167 -1.3799

136 w2010 T -.13139323716 .07465494016 -1.7600

137 r2 T -.13040158246 .06962316996 -1.8730

138 r3 T .05055300323 .07240442009 0.6982

139 lagpoor T .14478229228 .09035095726 1.6024

140 lagdep T .33188239994 0.1257536189 2.6391

141 lagwi T 1.3968542113 .08088188643 17.2703

142 poor0 T .32187870312 .09300168027 3.4610

143 dep0 T .36973353524 .12018131738 3.0765

144 wi0 T 1.6366351813 .16890060926 9.6899

145 eps1 T .77119570438 .06028794667 12.7919

146 eps2 T 1.1724377488 .10047909937 11.6685

147 eps3 T 0.9461004014 .08451140138 11.1949

148 rho12 T .24393836586 .10158482302 2.4013

149 rho13 T .41198508451 .10428034878 3.9507

150 rho23 T .09473314405 .10059000797 0.9418

AUSTRIA



Relative function improvement: .0000115


Relative parameter change: 1.368985

======================================================================




1 _cons T -2.4062524048 .24134893113 -9.9700

2 female T -0.0033632778 .03278189725 -0.1026

3 agex T .25314690081 .07643518229 3.3119

4 agesqx T -0.0026723184 .00094238792 -2.8357

5 healthx T .56438296644 .13605812072 4.1481

6 singlex T -0.186175481 0.1370396985 -1.3586

7 divorx T -.43256414123 .15569149556 -2.7783

8 widowx T .32571839462 .50946259197 0.6393

9 lowedux T .98948274781 .23180168686 4.2687

10 midedux T .37968595002 .13736455795 2.7641

11 sc05x T -.00024972058 .11153118385 -0.0022

12 sc612x T -.04258887679 .09695381053 -0.4393

13 sc1317x T .18377687417 .08966366406 2.0496

14 hsizex T 0.1478038 .05804219156 2.5465

15 rentx T .20719996534 .12875311166 1.6093

16 freex T .16394421122 .13434879221 1.2203

17 city2x T .05691671608 .26664192229 0.2135

18 city3x T .63895888936 .33058952738 1.9328

19 age T -.24422911968 .07741948422 -3.1546

20 agesq T .00251688854 .00094446732 2.6649

21 health T -.25819750459 .10022407827 -2.5762

22 single T .21664181062 0.1244709961 1.7405

23 divor T .43543230938 .13884368562 3.1361

24 widow T -.59457297195 0.5007052109 -1.1875

25 lowedu T -.27082424406 .22072092081 -1.2270

26 midedu T -.07373219117 .12106584423 -0.6090

27 sc05 T .43578235363 .10255900571 4.2491

28 sc612 T .38676567472 .09071467184 4.2635

29 sc1317 T .20713193713 .07864946638 2.6336

30 hsize T -.29652998577 .05276406347 -5.6199

31 rent T .16167608757 .11833838819 1.3662

32 free T .10424306349 0.116303074 0.8963

33 city2 T -.11380944021 .26208858467 -0.4342

34 city3 T -.40684954968 .32782258067 -1.2411

35 w2006 T -.07829617595 .04848310534 -1.6149

36 w2007 T -.20067235525 .05093335594 -3.9399

37 w2008 T -.16223100278 0.0549807694 -2.9507

38 w2009 T -.26807426706 0.0647638577 -4.1393

39 w2010 T -0.1460508539 .05967283813 -2.4475

40 r2 T -0.1721300589 .04602268226 -3.7401

41 r3 T -.18855407417 .03730639314 -5.0542

42 dep T .17791960749 0.1048405364 1.6970

43 wi T .98556234085 .10743202836 9.1738

44 lagpoor T .76541949182 .05612479942 13.6378

45 lagdep T .08172956233 .09683828251 0.8440

46 lagwi T -.01052170204 .08654143917 -0.1216

47 poor0 T 0.7197887014 .07589262543 9.4843

48 dep0 T .51767585906 .11023019995 4.6963

49 wi0 T .05301007229 0.1108211809 0.4783

50 _cons T -4.0142227764 0.3774515566 -10.6351

51 female T .02774910156 0.0507455429 0.5468

52 agex T .01769940388 .11692705932 0.1514

53 agesqx T -.00017757713 .00144035839 -0.1233

54 healthx T 0.6285256587 .16857594159 3.7284

55 singlex T .04797649333 .23424123468 0.2048

56 divorx T .37285034219 .21952120351 1.6985

57 widowx T .11211802467 0.800556735 0.1401

58 lowedux T .28132356446 .40103968505 0.7015

59 midedux T .08688150684 .27252585203 0.3188

60 sc05x T .27436128394 0.1673156129 1.6398

61 sc612x T .17269819908 .15650518179 1.1035

62 sc1317x T .07506311231 .12969323166 0.5788

63 hsizex T .13580940504 .08298253817 1.6366

64 rentx T .82501658339 .15698221179 5.2555

65 freex T .22730258845 .17496629807 1.2991

66 city2x T -1.070601506 .44727813727 -2.3936

67 city3x T -.39436319952 0.6020919817 -0.6550

68 age T -.00189617711 .11892013297 -0.0159

69 agesq T -.00011525275 .00144298752 -0.0799

70 health T .41008757125 .11656480114 3.5181

71 single T .04516085521 .21925757319 0.2060

72 divor T .10033534908 0.1975181578 0.5080

73 widow T .02673305293 .77564199212 0.0345

74 lowedu T .02316963506 .38075430772 0.0609

75 midedu T .46849026547 .25136037841 1.8638

76 sc05 T -.24785652268 .15484831366 -1.6006

77 sc612 T -.18127407187 .14579698266 -1.2433

78 sc1317 T -.12255792163 0.1190307579 -1.0296

79 hsize T -.05452608633 .07820835815 -0.6972

80 rent T -.12098585796 .13779373968 -0.8780

81 free T .15250667543 .14208282051 1.0734

82 city2 T .81120315123 .43884683289 1.8485

83 city3 T .34230315805 0.597011697 0.5734

84 w2006 T -.13282181196 .07656879019 -1.7347

85 w2007 T -.37254388124 .08845657309 -4.2116

86 w2008 T .27472782663 0.0827670072 3.3193

87 w2009 T .03737111307 0.1002611064 0.3727

88 w2010 T -.09037306191 .09196558854 -0.9827

89 r2 T -.15180752213 .07358163201 -2.0631

90 r3 T -.08308491689 .06111516778 -1.3595

91 wi T .18120010018 .14773821222 1.2265

92 lagpoor T .23296564515 .08508528085 2.7380

93 lagdep T .45843611295 .10448387404 4.3876

94 lagwi T .18367662551 .11926889634 1.5400

95 poor0 T .35057924796 .08989201534 3.9000

96 dep0 T 1.3235340279 .14513298385 9.1195

97 wi0 T .12521937618 .14603514491 0.8575

98 _cons T -.49769773685 .27465143529 -1.8121

99 female T .27412224887 .04355047572 6.2944

100 agex T -.00618171369 .09170132632 -0.0674

101 agesqx T -.00083744804 .00106854292 -0.7837

102 healthx T .79846892132 .14880856446 5.3657

103 singlex T .29578506212 .20850690217 1.4186

104 divorx T .11697003619 .19183141245 0.6098

105 widowx T .35668415015 .41594891297 0.8575

106 lowedux T .53938428362 .25545529286 2.1115

107 midedux T .26703494322 .14777517513 1.8070

108 sc05x T -.10983407978 .14256111226 -0.7704

109 sc612x T -.11939593561 .14446541837 -0.8265

110 sc1317x T -.34093313308 .11321749843 -3.0113

111 hsizex T .30869896672 .06158354057 5.0127

112 rentx T -.07099562334 .15797747471 -0.4494

113 freex T -.01317392857 .16725994552 -0.0788

114 city2x T -.77109659112 .53499427961 -1.4413

115 city3x T -.84291711114 .40303726356 -2.0914

116 age T -.13086800662 .09396080295 -1.3928

117 agesq T .00288028607 .00108538562 2.6537

118 health T .01211221401 .10638047092 0.1139

119 single T 0.046690176 .19968899111 0.2338

120 divor T .02434847131 0.1765246854 0.1379

121 widow T .11816999471 .38595965969 0.3062

122 lowedu T .42160499543 .25528706493 1.6515

123 midedu T -.00817835981 .13177470703 -0.0621

124 sc05 T .39498419988 .13346062284 2.9596

125 sc612 T .32581909395 .14012165406 2.3253

126 sc1317 T .30256049334 .10262401705 2.9482

127 hsize T -.53647043668 .05892079242 -9.1049

128 rent T .12274784205 .14646368077 0.8381

129 free T .15930312383 .13919891314 1.1444

130 city2 T .84489078055 .53205074931 1.5880

131 city3 T .83722341101 .39939890856 2.0962

132 w2006 T -.09187751516 .06519535958 -1.4093

133 w2007 T -.15256176649 .06652987557 -2.2931

134 w2008 T -.11863389491 .07059070048 -1.6806

135 w2009 T -0.2759366907 .08320203698 -3.3165

136 w2010 T -.04110487384 .06848167057 -0.6002

137 r2 T -0.006032877 0.0558906008 -0.1079

138 r3 T -.09356035909 .04773580192 -1.9600

139 lagpoor T .13130873339 .07914257954 1.6591

140 lagdep T .13392873836 .10948051502 1.2233

141 lagwi T 1.7333711712 .07860607713 22.0514

142 poor0 T .12221688688 .07693849785 1.5885

143 dep0 T .30603125993 .10768263883 2.8420

144 wi0 T 1.0255577818 0.1365797085 7.5089

145 eps1 T .69849078797 .05389471547 12.9603

146 eps2 T .82328911055 .09276320398 8.8752

147 eps3 T .61336316456 .07881568122 7.7822

148 rho12 T .54944436432 .11375213149 4.8302

149 rho13 T .21145077545 .13212593333 1.6004

150 rho23 T .34627638422 .15998384056 2.1644

SPAIN






======================================================================




1 _cons T -2.9543776684 .13259613356 -22.2810

2 female T .02685602454 .01808844655 1.4847

3 agex T .06570491773 .03706351635 1.7728

4 agesqx T -.00017341455 .00046354286 -0.3741

5 healthx T .26284609031 .07185630321 3.6579

6 singlex T -.07567872223 0.0914505266 -0.8275

7 divorx T .02922267756 0.1167575313 0.2503

8 widowx T -.28406332001 .19026460067 -1.4930

9 lowedux T .85506593933 .08310704117 10.2887

10 midedux T .56644042704 .06865835301 8.2501

11 sc05x T -0.0826412496 .05716382512 -1.4457

12 sc612x T -.01541950744 .05084154436 -0.3033

13 sc1317x T .24615861532 .03979481225 6.1857

14 hsizex T .17578990377 .02607004772 6.7430

15 rentx T 0.4338586279 .09381603806 4.6246

16 freex T .24391689358 .07087917028 3.4413

17 city2x T .23089463454 .20755871316 1.1124

18 city3x T -.04307038565 .19257690819 -0.2237

19 age T -.05352122605 .03747032392 -1.4284

20 agesq T 0.0000161819 .00046231036 0.0350

21 health T -.05417337891 .05129498748 -1.0561

22 single T .19154364025 .08555057255 2.2390

23 divor T .11319882074 .10550354681 1.0729

24 widow T .12005140655 .17183306079 0.6987

25 lowedu T -.05603990226 .07391305851 -0.7582

26 midedu T -.03619677853 .06131109129 -0.5904

27 sc05 T .43084614239 .05168425875 8.3361

28 sc612 T .34282581614 .04711228345 7.2768

29 sc1317 T 0.1744648448 .03577291116 4.8770

30 hsize T -.22479169799 .02433762189 -9.2364

31 rent T -0.0374367789 .08637450442 -0.4334

32 free T .06862967981 .06265208839 1.0954

33 city2 T -.12425722664 .20607858703 -0.6030

34 city3 T .30564017493 .19130564166 1.5977

35 w2006 T .06484470135 .02595457184 2.4984

36 w2007 T .04746974293 .02740018068 1.7325

37 w2008 T .08290807646 .02822214942 2.9377

38 w2009 T 0.1473679769 .02904213765 5.0743

39 w2010 T .24136709865 .03114212135 7.7505

40 r2 T -.07660415839 0.0527863124 -1.4512

41 r3 T -.05806347908 .06474753776 -0.8968

42 r4 T -.33004431005 .06067364103 -5.4397

43 r5 T -.71633997339 0.075597833 -9.4757

44 r6 T 0.0051165696 .06114062695 0.0837

45 r7 T -.30074585924 .06165333797 -4.8780

46 r8 T -0.2519194907 .05433685772 -4.6363

47 r9 T .06494341175 .04742317642 1.3694

48 r10 T .05595276957 .04993519223 1.1205

49 r11 T .29039953346 .05243707207 5.5381

50 r12 T -.29123092205 .04660659828 -6.2487

51 r13 T -.01460564108 .04534452082 -0.3221

52 r14 T -.27829271325 .05876674531 -4.7355

53 r15 T .20048842267 .03972368698 5.0471

54 r16 T .09071907271 .04841898577 1.8736

55 r17 T 0.280922775 .09637976273 2.9147

56 r18 T -.11524966689 .10922790593 -1.0551

57 r19 T .29271508443 .05055748046 5.7897

58 dep T .35319077721 .06172647832 5.7219

59 wi T .70153128986 .05160223044 13.5950

60 lagpoor T .42759494194 .02935629848 14.5657

61 lagdep T .19240781286 0.0555606098 3.4630

62 lagwi T -.09706991836 .04430857372 -2.1908

63 poor0 T 1.1557375811 .04158568884 27.7917

64 dep0 T .22474253791 .06584854208 3.4130

65 wi0 T .22863948295 .05415176657 4.2222

66 _cons T -4.4069918923 .23531648929 -18.7279

67 female T .03638458803 .02977360375 1.2220

68 agex T .14184430176 0.0652212495 2.1748

69 agesqx T -.00055832021 .00083668997 -0.6673

70 healthx T 0.5654180054 .10362208227 5.4565

71 singlex T -.07376582181 .12572785644 -0.5867

72 divorx T -.01136586412 .14529800957 -0.0782

73 widowx T -.50695900397 .35327370183 -1.4350

74 lowedux T 0.9153541558 .15178690614 6.0305

75 midedux T .49382297923 0.1329800943 3.7135

76 sc05x T .11003457079 .09249189633 1.1897

77 sc612x T -.19189346506 .09070676956 -2.1155

78 sc1317x T -.02290694561 .07583879577 -0.3020

79 hsizex T .02820660037 .03857372483 0.7312

80 rentx T .87465054875 .13551863494 6.4541

81 freex T .30590934158 .11841928878 2.5833

82 city2x T .98597392803 .39164717173 2.5175

83 city3x T .00312199852 .39391444564 0.0079

84 age T -.10424366907 .06603090239 -1.5787

85 agesq T -.00003445229 .00083866463 -0.0411

86 health T .17805300255 .07354551242 2.4210

87 single T .40872033422 .11726227017 3.4855

88 divor T .59419382251 .12734412944 4.6660

89 widow T .65952938887 .31676413933 2.0821

90 lowedu T .04082686267 .13689012373 0.2982

91 midedu T .02978721864 0.1206666176 0.2469

92 sc05 T .03397966393 .08413440474 0.4039

93 sc612 T .20658436131 .08500860051 2.4302

94 sc1317 T .13330992847 .06982456036 1.9092

95 hsize T -.00745428711 .03588581055 -0.2077

96 rent T -.04984144928 .12580981073 -0.3962

97 free T .10215029495 .10472564554 0.9754

98 city2 T -1.0508156739 .39058908094 -2.6903

99 city3 T -.22037370524 0.3916524148 -0.5627

100 w2006 T .10989960213 .04867613528 2.2578

101 w2007 T .06519139321 .05031863124 1.2956

102 w2008 T -.02847086552 .05218518873 -0.5456

103 w2009 T .31724839077 .04995781618 6.3503

104 w2010 T .42477423275 0.0533794546 7.9576

105 r2 T -.23374040618 .09764761239 -2.3937

106 r3 T -.49197357328 .14548885616 -3.3815

107 r4 T -.40838864442 0.1129719636 -3.6150

108 r5 T -.26677047789 .12921484216 -2.0645

109 r6 T -0.3411732198 .11322055025 -3.0134

110 r7 T -.68784816219 .13613221587 -5.0528

111 r8 T .07450716567 0.0788467244 0.9450

112 r9 T -.34967408066 .09865363826 -3.5445

113 r10 T .02166276676 .08793956334 0.2463

114 r11 T -0.1077640757 .09705450805 -1.1103

115 r12 T -.03534395118 .07304899061 -0.4838

116 r13 T -.03101406495 .07479163967 -0.4147

117 r14 T .10736369287 .09089378362 1.1812

118 r15 T .24737185567 .06312415997 3.9188

119 r16 T .35880733525 .07872598033 4.5577

120 r17 T -.22409574823 .13347903623 -1.6789

121 r18 T -.18227474407 0.1791351705 -1.0175

122 r19 T .30157826476 .07510472866 4.0154

123 wi T 0.1273288475 .07284377665 1.7480

124 lagpoor T .01272894156 .05320860669 0.2392

125 lagdep T .41346572038 .06352345271 6.5089

126 lagwi T .05672065548 .06814996987 0.8323

127 poor0 T .32530339668 .05316085947 6.1192

128 dep0 T 1.0277905253 .08659394602 11.8691

129 wi0 T .16581942933 .08173147499 2.0288

130 _cons T -2.8229137664 .17770932981 -15.8850

131 female T .19145591962 .02605784096 7.3473

132 agex T -.07826533721 .05086629784 -1.5386

133 agesqx T 0.001120273 .00061424204 1.8238

134 healthx T .95169728007 .08479782554 11.2231

135 singlex T .46490271193 .13668738083 3.4012

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148 age T .00971652018 .05187769354 0.1873

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150 health T .02494279955 .06079209011 0.4103

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152 divor T .07930611077 .13094764977 0.6056

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154 lowedu T -.06491587615 .10701871781 -0.6066

155 midedu T -.01795716592 .08714628851 -0.2061

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157 sc612 T .36024508707 .06759163881 5.3297

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160 rent T -.31329336373 .12096002015 -2.5901

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162 city2 T -.44634915042 0.3027532026 -1.4743

163 city3 T .02423900573 .34468825677 0.0703

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165 w2007 T .20258362131 .04075746648 4.9705

166 w2008 T .24360618611 .04218631695 5.7745

167 w2009 T .42338785381 .04303557265 9.8381

168 w2010 T .85319182208 .04541377367 18.7871

169 r2 T .39466727484 .07037630029 5.6080

170 r3 T .01387038882 0.0893693959 0.1552

171 r4 T .02563491848 .07414380729 0.3457

172 r5 T -.09218231541 .09754954731 -0.9450

173 r6 T -0.124230352 .09057454865 -1.3716

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177 r10 T .03461975453 .07506879412 0.4612

178 r11 T .10105046962 .07685003598 1.3149

179 r12 T -.24875822327 .06540792755 -3.8032

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190 poor0 T .25862733184 .04569838069 5.6594

191 dep0 T .33997865535 .07896329501 4.3055

192 wi0 T 1.4858155669 .08131425406 18.2725

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194 eps2 T .83241219346 .05649630505 14.7339

195 eps3 T .96136022811 .04262685629 22.5529

196 rho12 T .23995516274 .05464924409 4.3908

197 rho13 T .38527772158 .04360027866 8.8366

198 rho23 T .24903289152 0.0675024533 3.6892

ITALY






======================================================================




1 _cons T -3.190740524 .12180292432 -26.1959

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54 _cons T -4.7854731762 .18742107145 -25.5333

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66 sc1317x T .20491158833 .05540368106 3.6985

67 hsizex T .13613411199 .04103991424 3.3171

68 rentx T .67967506547 .07481655218 9.0846

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82 sc1317 T -.07615878673 .04928322012 -1.5453

83 hsize T -.06239267307 .03889700574 -1.6040

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96 r5 T .92775011218 .04831520352 19.2020

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150 r7 T .07821674792 .03924916491 1.9928

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159 eps3 T .87088934144 .03724011102 23.3858

160 rho12 T .41172515969 .03994438883 10.3075

161 rho13 T .28538011639 .04245680827 6.7217

162 rho23 T 0.1725865367 .04763123463 3.6234

HUNGARY






======================================================================




1 _cons T -3.0517224398 .19358042835 -15.7646

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142 eps1 T .74599394557 .04116818114 18.1206

143 eps2 T 0.7141661714 .03561645968 20.0516

144 eps3 T .56557797691 .05227016204 10.8203

145 rho12 T .20939550389 .06944618046 3.0152

146 rho13 T .26974707776 .09483642818 2.8443

147 rho23 T .12278752469 .09171984705 1.3387

POLAND






======================================================================




1 _cons T -3.1062320055 .11654838821 -26.6519

2 female T -.02769019602 .01589616369 -1.7419

3 agex T .11322095875 .03335439421 3.3945

4 agesqx T -.00046618137 .00041587362 -1.1210

5 healthx T 0.0628936056 .05694488153 1.1045

6 singlex T -.04510510991 .10025574513 -0.4499

7 divorx T -.23315851617 .11747287551 -1.9848

8 widowx T -.26307585803 .16810563138 -1.5649

9 lowedux T .67327262558 .20378712872 3.3038

10 midedux T .53645016941 .15630202916 3.4321

11 sc05x T -.08343874164 .05225592971 -1.5967

12 sc612x T -.02926285984 .04460509068 -0.6560

13 sc1317x T .29070237549 .03271198752 8.8867

14 rentx T 0.0330217791 .13104765885 0.2520

15 freex T -.16812030778 .06291902657 -2.6720

16 city2x T .27662173045 0.2663360709 1.0386

17 city3x T 0.0182038803 .26877141333 0.0677

18 hsizex T .09166032588 .02314486302 3.9603

19 age T -.08128955633 .03374858617 -2.4087

20 agesq T -.00002324741 .00041543683 -0.0560

21 health T -0.0329656934 .04717792991 -0.6988

22 single T .07375945379 .09555766706 0.7719

23 divor T 0.2931587828 .10869296231 2.6971

24 widow T .25982900479 .15756423725 1.6490

25 lowedu T .16109604789 .19727572493 0.8166

26 midedu T .11086101091 .14832204908 0.7474

27 sc05 T .32458330588 .04753406505 6.8284

28 sc612 T 0.2036687307 .04267600744 4.7724

29 sc1317 T .01071406099 0.0305245209 0.3510

30 rent T -.16712510253 .11785276992 -1.4181

31 free T .05972036458 .05944676855 1.0046

32 city2 T -.14814814757 .26441710264 -0.5603

33 city3 T .31084483718 0.2676849341 1.1612

34 hsize T -.15173355033 .02221136726 -6.8313

35 w2007 T -.05966684166 .02056831135 -2.9009

36 w2008 T 0.03083254 .02336891922 1.3194

37 w2009 T .12702599931 .02727333546 4.6575

38 w2010 T .21545804395 .02612580984 8.2469

39 r2 T -.05709691559 .02819927159 -2.0248

40 r3 T .14285627587 .02416904644 5.9107

41 r4 T -.04013439545 .02696982566 -1.4881

42 r5 T -.00873181643 0.0309004535 -0.2826

43 r6 T -.04039990736 .02636829261 -1.5321

44 dep T .21832330952 .03719439284 5.8698

45 wi T 0.8473607029 .04865407267 17.4160

46 lagpoor T 1.0835244483 .02447384144 44.2728

47 lagdep T .13928981832 .02882169156 4.8328

48 lagwi T -.10514747494 .03745917359 -2.8070

49 poor0 T .72877239163 .03512829749 20.7460

50 dep0 T .17885278075 .03639442438 4.9143

51 wi0 T -.03585840704 .04498901324 -0.7970

52 _cons T -3.3299581844 .12601875569 -26.4243

53 female T .01209459396 .01773978241 0.6818

54 agex T .11418622226 0.0357018603 3.1983

55 agesqx T -.00029501936 .00043031875 -0.6856

56 healthx T 0.2026702715 .05598939413 3.6198

57 singlex T .47687003297 0.1075365051 4.4345

58 divorx T .24031297831 .12498220399 1.9228

59 widowx T .24989327702 0.1537626862 1.6252

60 lowedux T .57903245219 0.2133674552 2.7138

61 midedux T .21426341734 .16435351263 1.3037

62 sc05x T -.01258836252 .05669048573 -0.2221

63 sc612x T 0.1397772033 0.049467133 2.8257

64 sc1317x T 0.1108955153 .03716213768 2.9841

65 rentx T -0.0711464493 .12951715594 -0.5493

66 freex T .19961024099 .06285750473 3.1756

67 city2x T -.58158401634 .27769970552 -2.0943

68 city3x T -.59895667352 .28811296189 -2.0789

69 hsizex T .03819138557 .02503001351 1.5258

70 age T -.08664356845 .03600522387 -2.4064

71 agesq T -9.911057E-06 .00042910539 -0.0231

72 health T .11242225071 .04430204679 2.5376

73 single T -0.0951746266 .10251465942 -0.9284

74 divor T .06985077996 .11564046442 0.6040

75 widow T .13003120485 .14172725713 0.9175

76 lowedu T .24739696968 .20793080592 1.1898

77 midedu T .36679608289 .15798535204 2.3217

78 sc05 T .11394300233 .05163353111 2.2068

79 sc612 T -.03308105918 .04664449945 -0.7092

80 sc1317 T .00776012854 .03441702096 0.2255

81 rent T .51149150907 .11807191458 4.3320

82 free T .12250755371 .05887422974 2.0808

83 city2 T .59789716582 .27549498773 2.1703

84 city3 T .63085359362 .28755740677 2.1938

85 hsize T -.05629783946 0.0236775458 -2.3777

86 w2007 T -.14268362708 .02069717785 -6.8939

87 w2008 T -.25712114839 .02497428607 -10.2954

88 w2009 T -.26809448396 .03179529837 -8.4319

89 w2010 T -.15058775695 .02994938429 -5.0281

90 r2 T .01413968831 .03005838863 0.4704

91 r3 T .00489945816 .02699321531 0.1815

92 r4 T -.00349983967 .03009983971 -0.1163

93 r5 T -.09767150964 .03437222557 -2.8416

94 r6 T .02807495422 .03039105406 0.9238

95 wi T .25211874344 .05028322339 5.0140

96 lagpoor T .07282754397 .03428565035 2.1241

97 lagdep T 1.006814883 .02676800718 37.6126

98 lagwi T .07804745429 .03873402292 2.0150

99 poor0 T .33652885099 .03384393634 9.9435

100 dep0 T 1.1108893539 .04440313171 25.0183

101 wi0 T .09734642661 .04858875159 2.0035

102 _cons T -1.5502614305 .13459032781 -11.5184

103 female T .24312288738 .02152519266 11.2948

104 agex T 0.0975620756 .04335806917 2.2501

105 agesqx T -.00056562862 .00050520738 -1.1196

106 healthx T .45886247979 .06296942625 7.2871

107 singlex T .35350750498 0.1384654871 2.5530

108 divorx T -.12809805054 .13362056724 -0.9587

109 widowx T -.20090514416 0.1707431307 -1.1767

110 lowedux T .42940229194 .25121637846 1.7093

111 midedux T .21344983528 .18320047671 1.1651

112 sc05x T .02515654198 .06629579228 0.3795

113 sc612x T .16232019236 .05770295279 2.8130

114 sc1317x T .08049686367 .04785397331 1.6821

115 rentx T .17121152302 .16843661054 1.0165

116 freex T .24141278984 .06879614428 3.5091

117 city2x T .53338383586 .36213983066 1.4729

118 city3x T .64997018833 .35815647365 1.8148

119 hsizex T .12340987736 .02773779953 4.4492

120 age T -.19566424872 .04400447273 -4.4465

121 agesq T 0.0021241755 .00050651402 4.1937

122 health T .08034969251 .05157587078 1.5579

123 single T .09788089053 .13165226737 0.7435

124 divor T .36893327095 .12166994776 3.0322

125 widow T .22149662484 .15650019392 1.4153

126 lowedu T .00446313866 .24483931522 0.0182

127 midedu T .13490367811 .17526310872 0.7697

128 sc05 T 0.1780755488 .06035612057 2.9504

129 sc612 T -.04854917736 .05343256407 -0.9086

130 sc1317 T -.02064949615 .04357068674 -0.4739

131 rent T -.15436246572 .15143730864 -1.0193

132 free T -.16458968587 .06465906329 -2.5455

133 city2 T -.46089075231 .35980177959 -1.2810

134 city3 T -.65249179894 .35658040114 -1.8299

135 hsize T -0.2543293478 .02622548565 -9.6978

136 w2007 T -.02473435297 .02575617726 -0.9603

137 w2008 T -.14517366921 .03201196185 -4.5350

138 w2009 T -.02193515278 .03689813856 -0.5945

139 w2010 T .10952746591 .03425407518 3.1975

140 r2 T .31108997032 .03630665213 8.5684

141 r3 T .18190024271 .03451170145 5.2707

142 r4 T .22876472195 .03715537899 6.1570

143 r5 T .17365867318 .04103391667 4.2321

144 r6 T .18680395416 .03629999945 5.1461

145 lagpoor T -.01157269834 .04143557956 -0.2793

146 lagdep T .17869547482 .04197877521 4.2568

147 lagwi T 1.5719234284 .03464858456 45.3676

148 poor0 T .06377175533 .03953835988 1.6129

149 dep0 T .09626986302 .04006573114 2.4028

150 wi0 T .99638258887 .06089798194 16.3615

151 eps1 T 0.5525494451 .02705899329 20.4202

152 eps2 T .72013592104 .02805982338 25.6643

153 eps3 T 0.6369997098 .03641618355 17.4922

154 rho12 T .27776126394 .06154547915 4.5131

155 rho13 T .07370877663 .07752382882 0.9508

156 rho23 T 0.0841695749 .06558156741 1.2834

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