Status Traps
In this article, we explore nonlinearities in the intergenerational mobility process using threshold regression models. We uncover evidence of threshold effects in children's outcomes based on parental education and cognitive and noncognitive skills as well as their interaction with offspring c...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Durlauf, Steven N [verfasserIn] |
|---|
| Format: |
Artikel |
|---|---|
| Sprache: |
Englisch |
| Erschienen: |
2017 |
|---|
| Rechteinformationen: |
Nutzungsrecht: © 2017 American Statistical Association 2017 |
|---|
| Schlagwörter: |
|---|
| Übergeordnetes Werk: |
Enthalten in: Journal of business & economic statistics - Alexandria, Va. : American Statistical Association, 1983, 35(2017), 2, Seite 265-49 |
|---|---|
| Übergeordnetes Werk: |
volume:35 ; year:2017 ; number:2 ; pages:265-49 |
| Links: |
|---|
| DOI / URN: |
10.1080/07350015.2016.1189339 |
|---|
| Katalog-ID: |
OLC1992894116 |
|---|
| LEADER | 01000caa a2200265 4500 | ||
|---|---|---|---|
| 001 | OLC1992894116 | ||
| 003 | DE-627 | ||
| 005 | 20220216021111.0 | ||
| 007 | tu | ||
| 008 | 170512s2017 xx ||||| 00| ||eng c | ||
| 024 | 7 | |a 10.1080/07350015.2016.1189339 |2 doi | |
| 028 | 5 | 2 | |a PQ20170901 |
| 035 | |a (DE-627)OLC1992894116 | ||
| 035 | |a (DE-599)GBVOLC1992894116 | ||
| 035 | |a (PRQ)c1629-90258c8faaea15d620100d0eb9e5c89c048d809d313606e20dd17300975c37270 | ||
| 035 | |a (KEY)0121688020170000035000200265statustraps | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
| 041 | |a eng | ||
| 082 | 0 | 4 | |a 310 |a 330 |a 650 |q DNB |
| 084 | |a 83.00 |2 bkl | ||
| 100 | 1 | |a Durlauf, Steven N |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a Status Traps |
| 264 | 1 | |c 2017 | |
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a ohne Hilfsmittel zu benutzen |b n |2 rdamedia | ||
| 338 | |a Band |b nc |2 rdacarrier | ||
| 520 | |a In this article, we explore nonlinearities in the intergenerational mobility process using threshold regression models. We uncover evidence of threshold effects in children's outcomes based on parental education and cognitive and noncognitive skills as well as their interaction with offspring characteristics. We interpret these thresholds as organizing dynastic earning processes into "status traps." Status traps, unlike poverty traps, are not absorbing states. Rather, they reduce the impact of favorable shocks for disadvantaged children and so inhibit upward mobility in ways not captured by linear models. Our evidence of status traps is based on three complementary datasets; that is, the PSID, the NLSY, and US administrative data at the commuting zone level, which together suggest that the threshold-like mobility behavior we observe in the data is robust for a range of outcomes and contexts. | ||
| 540 | |a Nutzungsrecht: © 2017 American Statistical Association 2017 | ||
| 650 | 4 | |a Poverty traps | |
| 650 | 4 | |a Inequality | |
| 650 | 4 | |a Threshold regression | |
| 650 | 4 | |a Intergenerational mobility | |
| 700 | 1 | |a Kourtellos, Andros |4 oth | |
| 700 | 1 | |a Tan, Chih Ming |4 oth | |
| 773 | 0 | 8 | |i Enthalten in |t Journal of business & economic statistics |d Alexandria, Va. : American Statistical Association, 1983 |g 35(2017), 2, Seite 265-49 |w (DE-627)130670898 |w (DE-600)876122-X |w (DE-576)016216814 |x 0735-0015 |7 nnns |
| 773 | 1 | 8 | |g volume:35 |g year:2017 |g number:2 |g pages:265-49 |
| 856 | 4 | 1 | |u http://dx.doi.org/10.1080/07350015.2016.1189339 |3 Volltext |
| 856 | 4 | 2 | |u http://www.tandfonline.com/doi/abs/10.1080/07350015.2016.1189339 |
| 912 | |a GBV_USEFLAG_A | ||
| 912 | |a SYSFLAG_A | ||
| 912 | |a GBV_OLC | ||
| 912 | |a SSG-OLC-WIW | ||
| 912 | |a SSG-OLC-MAT | ||
| 912 | |a SSG-OPC-MAT | ||
| 912 | |a GBV_ILN_21 | ||
| 912 | |a GBV_ILN_26 | ||
| 912 | |a GBV_ILN_2002 | ||
| 912 | |a GBV_ILN_2005 | ||
| 912 | |a GBV_ILN_2174 | ||
| 912 | |a GBV_ILN_4012 | ||
| 912 | |a GBV_ILN_4028 | ||
| 912 | |a GBV_ILN_4125 | ||
| 912 | |a GBV_ILN_4305 | ||
| 912 | |a GBV_ILN_4306 | ||
| 912 | |a GBV_ILN_4318 | ||
| 936 | b | k | |a 83.00 |q AVZ |
| 951 | |a AR | ||
| 952 | |d 35 |j 2017 |e 2 |h 265-49 | ||
| author_variant |
s n d sn snd |
|---|---|
| matchkey_str |
article:07350015:2017----::tts |
| hierarchy_sort_str |
2017 |
| bklnumber |
83.00 |
| publishDate |
2017 |
| allfields |
10.1080/07350015.2016.1189339 doi PQ20170901 (DE-627)OLC1992894116 (DE-599)GBVOLC1992894116 (PRQ)c1629-90258c8faaea15d620100d0eb9e5c89c048d809d313606e20dd17300975c37270 (KEY)0121688020170000035000200265statustraps DE-627 ger DE-627 rakwb eng 310 330 650 DNB 83.00 bkl Durlauf, Steven N verfasserin aut Status Traps 2017 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier In this article, we explore nonlinearities in the intergenerational mobility process using threshold regression models. We uncover evidence of threshold effects in children's outcomes based on parental education and cognitive and noncognitive skills as well as their interaction with offspring characteristics. We interpret these thresholds as organizing dynastic earning processes into "status traps." Status traps, unlike poverty traps, are not absorbing states. Rather, they reduce the impact of favorable shocks for disadvantaged children and so inhibit upward mobility in ways not captured by linear models. Our evidence of status traps is based on three complementary datasets; that is, the PSID, the NLSY, and US administrative data at the commuting zone level, which together suggest that the threshold-like mobility behavior we observe in the data is robust for a range of outcomes and contexts. Nutzungsrecht: © 2017 American Statistical Association 2017 Poverty traps Inequality Threshold regression Intergenerational mobility Kourtellos, Andros oth Tan, Chih Ming oth Enthalten in Journal of business & economic statistics Alexandria, Va. : American Statistical Association, 1983 35(2017), 2, Seite 265-49 (DE-627)130670898 (DE-600)876122-X (DE-576)016216814 0735-0015 nnns volume:35 year:2017 number:2 pages:265-49 http://dx.doi.org/10.1080/07350015.2016.1189339 Volltext http://www.tandfonline.com/doi/abs/10.1080/07350015.2016.1189339 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-WIW SSG-OLC-MAT SSG-OPC-MAT GBV_ILN_21 GBV_ILN_26 GBV_ILN_2002 GBV_ILN_2005 GBV_ILN_2174 GBV_ILN_4012 GBV_ILN_4028 GBV_ILN_4125 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4318 83.00 AVZ AR 35 2017 2 265-49 |
| spelling |
10.1080/07350015.2016.1189339 doi PQ20170901 (DE-627)OLC1992894116 (DE-599)GBVOLC1992894116 (PRQ)c1629-90258c8faaea15d620100d0eb9e5c89c048d809d313606e20dd17300975c37270 (KEY)0121688020170000035000200265statustraps DE-627 ger DE-627 rakwb eng 310 330 650 DNB 83.00 bkl Durlauf, Steven N verfasserin aut Status Traps 2017 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier In this article, we explore nonlinearities in the intergenerational mobility process using threshold regression models. We uncover evidence of threshold effects in children's outcomes based on parental education and cognitive and noncognitive skills as well as their interaction with offspring characteristics. We interpret these thresholds as organizing dynastic earning processes into "status traps." Status traps, unlike poverty traps, are not absorbing states. Rather, they reduce the impact of favorable shocks for disadvantaged children and so inhibit upward mobility in ways not captured by linear models. Our evidence of status traps is based on three complementary datasets; that is, the PSID, the NLSY, and US administrative data at the commuting zone level, which together suggest that the threshold-like mobility behavior we observe in the data is robust for a range of outcomes and contexts. Nutzungsrecht: © 2017 American Statistical Association 2017 Poverty traps Inequality Threshold regression Intergenerational mobility Kourtellos, Andros oth Tan, Chih Ming oth Enthalten in Journal of business & economic statistics Alexandria, Va. : American Statistical Association, 1983 35(2017), 2, Seite 265-49 (DE-627)130670898 (DE-600)876122-X (DE-576)016216814 0735-0015 nnns volume:35 year:2017 number:2 pages:265-49 http://dx.doi.org/10.1080/07350015.2016.1189339 Volltext http://www.tandfonline.com/doi/abs/10.1080/07350015.2016.1189339 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-WIW SSG-OLC-MAT SSG-OPC-MAT GBV_ILN_21 GBV_ILN_26 GBV_ILN_2002 GBV_ILN_2005 GBV_ILN_2174 GBV_ILN_4012 GBV_ILN_4028 GBV_ILN_4125 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4318 83.00 AVZ AR 35 2017 2 265-49 |
| allfields_unstemmed |
10.1080/07350015.2016.1189339 doi PQ20170901 (DE-627)OLC1992894116 (DE-599)GBVOLC1992894116 (PRQ)c1629-90258c8faaea15d620100d0eb9e5c89c048d809d313606e20dd17300975c37270 (KEY)0121688020170000035000200265statustraps DE-627 ger DE-627 rakwb eng 310 330 650 DNB 83.00 bkl Durlauf, Steven N verfasserin aut Status Traps 2017 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier In this article, we explore nonlinearities in the intergenerational mobility process using threshold regression models. We uncover evidence of threshold effects in children's outcomes based on parental education and cognitive and noncognitive skills as well as their interaction with offspring characteristics. We interpret these thresholds as organizing dynastic earning processes into "status traps." Status traps, unlike poverty traps, are not absorbing states. Rather, they reduce the impact of favorable shocks for disadvantaged children and so inhibit upward mobility in ways not captured by linear models. Our evidence of status traps is based on three complementary datasets; that is, the PSID, the NLSY, and US administrative data at the commuting zone level, which together suggest that the threshold-like mobility behavior we observe in the data is robust for a range of outcomes and contexts. Nutzungsrecht: © 2017 American Statistical Association 2017 Poverty traps Inequality Threshold regression Intergenerational mobility Kourtellos, Andros oth Tan, Chih Ming oth Enthalten in Journal of business & economic statistics Alexandria, Va. : American Statistical Association, 1983 35(2017), 2, Seite 265-49 (DE-627)130670898 (DE-600)876122-X (DE-576)016216814 0735-0015 nnns volume:35 year:2017 number:2 pages:265-49 http://dx.doi.org/10.1080/07350015.2016.1189339 Volltext http://www.tandfonline.com/doi/abs/10.1080/07350015.2016.1189339 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-WIW SSG-OLC-MAT SSG-OPC-MAT GBV_ILN_21 GBV_ILN_26 GBV_ILN_2002 GBV_ILN_2005 GBV_ILN_2174 GBV_ILN_4012 GBV_ILN_4028 GBV_ILN_4125 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4318 83.00 AVZ AR 35 2017 2 265-49 |
| allfieldsGer |
10.1080/07350015.2016.1189339 doi PQ20170901 (DE-627)OLC1992894116 (DE-599)GBVOLC1992894116 (PRQ)c1629-90258c8faaea15d620100d0eb9e5c89c048d809d313606e20dd17300975c37270 (KEY)0121688020170000035000200265statustraps DE-627 ger DE-627 rakwb eng 310 330 650 DNB 83.00 bkl Durlauf, Steven N verfasserin aut Status Traps 2017 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier In this article, we explore nonlinearities in the intergenerational mobility process using threshold regression models. We uncover evidence of threshold effects in children's outcomes based on parental education and cognitive and noncognitive skills as well as their interaction with offspring characteristics. We interpret these thresholds as organizing dynastic earning processes into "status traps." Status traps, unlike poverty traps, are not absorbing states. Rather, they reduce the impact of favorable shocks for disadvantaged children and so inhibit upward mobility in ways not captured by linear models. Our evidence of status traps is based on three complementary datasets; that is, the PSID, the NLSY, and US administrative data at the commuting zone level, which together suggest that the threshold-like mobility behavior we observe in the data is robust for a range of outcomes and contexts. Nutzungsrecht: © 2017 American Statistical Association 2017 Poverty traps Inequality Threshold regression Intergenerational mobility Kourtellos, Andros oth Tan, Chih Ming oth Enthalten in Journal of business & economic statistics Alexandria, Va. : American Statistical Association, 1983 35(2017), 2, Seite 265-49 (DE-627)130670898 (DE-600)876122-X (DE-576)016216814 0735-0015 nnns volume:35 year:2017 number:2 pages:265-49 http://dx.doi.org/10.1080/07350015.2016.1189339 Volltext http://www.tandfonline.com/doi/abs/10.1080/07350015.2016.1189339 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-WIW SSG-OLC-MAT SSG-OPC-MAT GBV_ILN_21 GBV_ILN_26 GBV_ILN_2002 GBV_ILN_2005 GBV_ILN_2174 GBV_ILN_4012 GBV_ILN_4028 GBV_ILN_4125 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4318 83.00 AVZ AR 35 2017 2 265-49 |
| allfieldsSound |
10.1080/07350015.2016.1189339 doi PQ20170901 (DE-627)OLC1992894116 (DE-599)GBVOLC1992894116 (PRQ)c1629-90258c8faaea15d620100d0eb9e5c89c048d809d313606e20dd17300975c37270 (KEY)0121688020170000035000200265statustraps DE-627 ger DE-627 rakwb eng 310 330 650 DNB 83.00 bkl Durlauf, Steven N verfasserin aut Status Traps 2017 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier In this article, we explore nonlinearities in the intergenerational mobility process using threshold regression models. We uncover evidence of threshold effects in children's outcomes based on parental education and cognitive and noncognitive skills as well as their interaction with offspring characteristics. We interpret these thresholds as organizing dynastic earning processes into "status traps." Status traps, unlike poverty traps, are not absorbing states. Rather, they reduce the impact of favorable shocks for disadvantaged children and so inhibit upward mobility in ways not captured by linear models. Our evidence of status traps is based on three complementary datasets; that is, the PSID, the NLSY, and US administrative data at the commuting zone level, which together suggest that the threshold-like mobility behavior we observe in the data is robust for a range of outcomes and contexts. Nutzungsrecht: © 2017 American Statistical Association 2017 Poverty traps Inequality Threshold regression Intergenerational mobility Kourtellos, Andros oth Tan, Chih Ming oth Enthalten in Journal of business & economic statistics Alexandria, Va. : American Statistical Association, 1983 35(2017), 2, Seite 265-49 (DE-627)130670898 (DE-600)876122-X (DE-576)016216814 0735-0015 nnns volume:35 year:2017 number:2 pages:265-49 http://dx.doi.org/10.1080/07350015.2016.1189339 Volltext http://www.tandfonline.com/doi/abs/10.1080/07350015.2016.1189339 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-WIW SSG-OLC-MAT SSG-OPC-MAT GBV_ILN_21 GBV_ILN_26 GBV_ILN_2002 GBV_ILN_2005 GBV_ILN_2174 GBV_ILN_4012 GBV_ILN_4028 GBV_ILN_4125 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4318 83.00 AVZ AR 35 2017 2 265-49 |
| language |
English |
| source |
Enthalten in Journal of business & economic statistics 35(2017), 2, Seite 265-49 volume:35 year:2017 number:2 pages:265-49 |
| sourceStr |
Enthalten in Journal of business & economic statistics 35(2017), 2, Seite 265-49 volume:35 year:2017 number:2 pages:265-49 |
| format_phy_str_mv |
Article |
| institution |
findex.gbv.de |
| topic_facet |
Poverty traps Inequality Threshold regression Intergenerational mobility |
| dewey-raw |
310 |
| isfreeaccess_bool |
false |
| container_title |
Journal of business & economic statistics |
| authorswithroles_txt_mv |
Durlauf, Steven N @@aut@@ Kourtellos, Andros @@oth@@ Tan, Chih Ming @@oth@@ |
| publishDateDaySort_date |
2017-01-01T00:00:00Z |
| hierarchy_top_id |
130670898 |
| dewey-sort |
3310 |
| id |
OLC1992894116 |
| language_de |
englisch |
| fullrecord |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a2200265 4500</leader><controlfield tag="001">OLC1992894116</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20220216021111.0</controlfield><controlfield tag="007">tu</controlfield><controlfield tag="008">170512s2017 xx ||||| 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1080/07350015.2016.1189339</subfield><subfield code="2">doi</subfield></datafield><datafield tag="028" ind1="5" ind2="2"><subfield code="a">PQ20170901</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)OLC1992894116</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)GBVOLC1992894116</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(PRQ)c1629-90258c8faaea15d620100d0eb9e5c89c048d809d313606e20dd17300975c37270</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(KEY)0121688020170000035000200265statustraps</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">310</subfield><subfield code="a">330</subfield><subfield code="a">650</subfield><subfield code="q">DNB</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">83.00</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Durlauf, Steven N</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Status Traps</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2017</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">ohne Hilfsmittel zu benutzen</subfield><subfield code="b">n</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Band</subfield><subfield code="b">nc</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">In this article, we explore nonlinearities in the intergenerational mobility process using threshold regression models. We uncover evidence of threshold effects in children's outcomes based on parental education and cognitive and noncognitive skills as well as their interaction with offspring characteristics. We interpret these thresholds as organizing dynastic earning processes into "status traps." Status traps, unlike poverty traps, are not absorbing states. Rather, they reduce the impact of favorable shocks for disadvantaged children and so inhibit upward mobility in ways not captured by linear models. Our evidence of status traps is based on three complementary datasets; that is, the PSID, the NLSY, and US administrative data at the commuting zone level, which together suggest that the threshold-like mobility behavior we observe in the data is robust for a range of outcomes and contexts.</subfield></datafield><datafield tag="540" ind1=" " ind2=" "><subfield code="a">Nutzungsrecht: © 2017 American Statistical Association 2017</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Poverty traps</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Inequality</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Threshold regression</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Intergenerational mobility</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Kourtellos, Andros</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Tan, Chih Ming</subfield><subfield code="4">oth</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Journal of business & economic statistics</subfield><subfield code="d">Alexandria, Va. : American Statistical Association, 1983</subfield><subfield code="g">35(2017), 2, Seite 265-49</subfield><subfield code="w">(DE-627)130670898</subfield><subfield code="w">(DE-600)876122-X</subfield><subfield code="w">(DE-576)016216814</subfield><subfield code="x">0735-0015</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:35</subfield><subfield code="g">year:2017</subfield><subfield code="g">number:2</subfield><subfield code="g">pages:265-49</subfield></datafield><datafield tag="856" ind1="4" ind2="1"><subfield code="u">http://dx.doi.org/10.1080/07350015.2016.1189339</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="u">http://www.tandfonline.com/doi/abs/10.1080/07350015.2016.1189339</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_OLC</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-WIW</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-MAT</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OPC-MAT</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_21</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_26</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2002</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2005</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2174</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4012</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4028</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4125</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4305</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4306</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4318</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">83.00</subfield><subfield code="q">AVZ</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">35</subfield><subfield code="j">2017</subfield><subfield code="e">2</subfield><subfield code="h">265-49</subfield></datafield></record></collection>
|
| author |
Durlauf, Steven N |
| spellingShingle |
Durlauf, Steven N ddc 310 bkl 83.00 misc Poverty traps misc Inequality misc Threshold regression misc Intergenerational mobility Status Traps |
| authorStr |
Durlauf, Steven N |
| ppnlink_with_tag_str_mv |
@@773@@(DE-627)130670898 |
| format |
Article |
| dewey-ones |
310 - Collections of general statistics 330 - Economics 650 - Management & auxiliary services |
| delete_txt_mv |
keep |
| author_role |
aut |
| collection |
OLC |
| remote_str |
false |
| illustrated |
Not Illustrated |
| issn |
0735-0015 |
| topic_title |
310 330 650 DNB 83.00 bkl Status Traps Poverty traps Inequality Threshold regression Intergenerational mobility |
| topic |
ddc 310 bkl 83.00 misc Poverty traps misc Inequality misc Threshold regression misc Intergenerational mobility |
| topic_unstemmed |
ddc 310 bkl 83.00 misc Poverty traps misc Inequality misc Threshold regression misc Intergenerational mobility |
| topic_browse |
ddc 310 bkl 83.00 misc Poverty traps misc Inequality misc Threshold regression misc Intergenerational mobility |
| format_facet |
Aufsätze Gedruckte Aufsätze |
| format_main_str_mv |
Text Zeitschrift/Artikel |
| carriertype_str_mv |
nc |
| author2_variant |
a k ak c m t cm cmt |
| hierarchy_parent_title |
Journal of business & economic statistics |
| hierarchy_parent_id |
130670898 |
| dewey-tens |
310 - Statistics 330 - Economics 650 - Management & public relations |
| hierarchy_top_title |
Journal of business & economic statistics |
| isfreeaccess_txt |
false |
| familylinks_str_mv |
(DE-627)130670898 (DE-600)876122-X (DE-576)016216814 |
| title |
Status Traps |
| ctrlnum |
(DE-627)OLC1992894116 (DE-599)GBVOLC1992894116 (PRQ)c1629-90258c8faaea15d620100d0eb9e5c89c048d809d313606e20dd17300975c37270 (KEY)0121688020170000035000200265statustraps |
| title_full |
Status Traps |
| author_sort |
Durlauf, Steven N |
| journal |
Journal of business & economic statistics |
| journalStr |
Journal of business & economic statistics |
| lang_code |
eng |
| isOA_bool |
false |
| dewey-hundreds |
300 - Social sciences 600 - Technology |
| recordtype |
marc |
| publishDateSort |
2017 |
| contenttype_str_mv |
txt |
| container_start_page |
265 |
| author_browse |
Durlauf, Steven N |
| container_volume |
35 |
| class |
310 330 650 DNB 83.00 bkl |
| format_se |
Aufsätze |
| author-letter |
Durlauf, Steven N |
| doi_str_mv |
10.1080/07350015.2016.1189339 |
| dewey-full |
310 330 650 |
| title_sort |
status traps |
| title_auth |
Status Traps |
| abstract |
In this article, we explore nonlinearities in the intergenerational mobility process using threshold regression models. We uncover evidence of threshold effects in children's outcomes based on parental education and cognitive and noncognitive skills as well as their interaction with offspring characteristics. We interpret these thresholds as organizing dynastic earning processes into "status traps." Status traps, unlike poverty traps, are not absorbing states. Rather, they reduce the impact of favorable shocks for disadvantaged children and so inhibit upward mobility in ways not captured by linear models. Our evidence of status traps is based on three complementary datasets; that is, the PSID, the NLSY, and US administrative data at the commuting zone level, which together suggest that the threshold-like mobility behavior we observe in the data is robust for a range of outcomes and contexts. |
| abstractGer |
In this article, we explore nonlinearities in the intergenerational mobility process using threshold regression models. We uncover evidence of threshold effects in children's outcomes based on parental education and cognitive and noncognitive skills as well as their interaction with offspring characteristics. We interpret these thresholds as organizing dynastic earning processes into "status traps." Status traps, unlike poverty traps, are not absorbing states. Rather, they reduce the impact of favorable shocks for disadvantaged children and so inhibit upward mobility in ways not captured by linear models. Our evidence of status traps is based on three complementary datasets; that is, the PSID, the NLSY, and US administrative data at the commuting zone level, which together suggest that the threshold-like mobility behavior we observe in the data is robust for a range of outcomes and contexts. |
| abstract_unstemmed |
In this article, we explore nonlinearities in the intergenerational mobility process using threshold regression models. We uncover evidence of threshold effects in children's outcomes based on parental education and cognitive and noncognitive skills as well as their interaction with offspring characteristics. We interpret these thresholds as organizing dynastic earning processes into "status traps." Status traps, unlike poverty traps, are not absorbing states. Rather, they reduce the impact of favorable shocks for disadvantaged children and so inhibit upward mobility in ways not captured by linear models. Our evidence of status traps is based on three complementary datasets; that is, the PSID, the NLSY, and US administrative data at the commuting zone level, which together suggest that the threshold-like mobility behavior we observe in the data is robust for a range of outcomes and contexts. |
| collection_details |
GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-WIW SSG-OLC-MAT SSG-OPC-MAT GBV_ILN_21 GBV_ILN_26 GBV_ILN_2002 GBV_ILN_2005 GBV_ILN_2174 GBV_ILN_4012 GBV_ILN_4028 GBV_ILN_4125 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4318 |
| container_issue |
2 |
| title_short |
Status Traps |
| url |
http://dx.doi.org/10.1080/07350015.2016.1189339 http://www.tandfonline.com/doi/abs/10.1080/07350015.2016.1189339 |
| remote_bool |
false |
| author2 |
Kourtellos, Andros Tan, Chih Ming |
| author2Str |
Kourtellos, Andros Tan, Chih Ming |
| ppnlink |
130670898 |
| mediatype_str_mv |
n |
| isOA_txt |
false |
| hochschulschrift_bool |
false |
| author2_role |
oth oth |
| doi_str |
10.1080/07350015.2016.1189339 |
| up_date |
2024-07-04T05:53:41.606Z |
| _version_ |
1803626659544301568 |
| fullrecord_marcxml |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a2200265 4500</leader><controlfield tag="001">OLC1992894116</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20220216021111.0</controlfield><controlfield tag="007">tu</controlfield><controlfield tag="008">170512s2017 xx ||||| 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1080/07350015.2016.1189339</subfield><subfield code="2">doi</subfield></datafield><datafield tag="028" ind1="5" ind2="2"><subfield code="a">PQ20170901</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)OLC1992894116</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)GBVOLC1992894116</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(PRQ)c1629-90258c8faaea15d620100d0eb9e5c89c048d809d313606e20dd17300975c37270</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(KEY)0121688020170000035000200265statustraps</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">310</subfield><subfield code="a">330</subfield><subfield code="a">650</subfield><subfield code="q">DNB</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">83.00</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Durlauf, Steven N</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Status Traps</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2017</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">ohne Hilfsmittel zu benutzen</subfield><subfield code="b">n</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Band</subfield><subfield code="b">nc</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">In this article, we explore nonlinearities in the intergenerational mobility process using threshold regression models. We uncover evidence of threshold effects in children's outcomes based on parental education and cognitive and noncognitive skills as well as their interaction with offspring characteristics. We interpret these thresholds as organizing dynastic earning processes into "status traps." Status traps, unlike poverty traps, are not absorbing states. Rather, they reduce the impact of favorable shocks for disadvantaged children and so inhibit upward mobility in ways not captured by linear models. Our evidence of status traps is based on three complementary datasets; that is, the PSID, the NLSY, and US administrative data at the commuting zone level, which together suggest that the threshold-like mobility behavior we observe in the data is robust for a range of outcomes and contexts.</subfield></datafield><datafield tag="540" ind1=" " ind2=" "><subfield code="a">Nutzungsrecht: © 2017 American Statistical Association 2017</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Poverty traps</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Inequality</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Threshold regression</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Intergenerational mobility</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Kourtellos, Andros</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Tan, Chih Ming</subfield><subfield code="4">oth</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Journal of business & economic statistics</subfield><subfield code="d">Alexandria, Va. : American Statistical Association, 1983</subfield><subfield code="g">35(2017), 2, Seite 265-49</subfield><subfield code="w">(DE-627)130670898</subfield><subfield code="w">(DE-600)876122-X</subfield><subfield code="w">(DE-576)016216814</subfield><subfield code="x">0735-0015</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:35</subfield><subfield code="g">year:2017</subfield><subfield code="g">number:2</subfield><subfield code="g">pages:265-49</subfield></datafield><datafield tag="856" ind1="4" ind2="1"><subfield code="u">http://dx.doi.org/10.1080/07350015.2016.1189339</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="u">http://www.tandfonline.com/doi/abs/10.1080/07350015.2016.1189339</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_OLC</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-WIW</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-MAT</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OPC-MAT</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_21</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_26</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2002</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2005</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2174</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4012</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4028</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4125</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4305</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4306</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4318</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">83.00</subfield><subfield code="q">AVZ</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">35</subfield><subfield code="j">2017</subfield><subfield code="e">2</subfield><subfield code="h">265-49</subfield></datafield></record></collection>
|
| score |
7.3983088 |