Beyond participation: do the cost and quality of higher education shape the enrollment composition? The case of Italy

Abstract We analyze the effects of costs, geographical accessibility, and quality of higher education institutions on participation and on the composition of enrolled students, in terms of their educational and socioeconomic backgrounds. We develop a theoretical framework for higher education choice...
Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Pigini, Claudia [verfasserIn] Staffolani, Stefano [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2015

Schlagwörter:	Enrollment cost University quality Enrollment composition University choice Nested logit model

Übergeordnetes Werk:	Enthalten in: Higher education - Dordrecht [u.a.] : Springer Science + Business Media B.V, 1972, 71(2015), 1 vom: 05. Mai, Seite 119-142
Übergeordnetes Werk:	volume:71 ; year:2015 ; number:1 ; day:05 ; month:05 ; pages:119-142

Links:	Volltext

DOI / URN:	10.1007/s10734-015-9892-8

Katalog-ID:	SPR012820024

Internformat


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912			\|a GBV_ILN_2472
912			\|a GBV_ILN_2507
912			\|a GBV_ILN_2522
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allfields	10.1007/s10734-015-9892-8 doi (DE-627)SPR012820024 (SPR)s10734-015-9892-8-e DE-627 ger DE-627 rakwb eng 370 ASE 81.00 bkl Pigini, Claudia verfasserin aut Beyond participation: do the cost and quality of higher education shape the enrollment composition? The case of Italy 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract We analyze the effects of costs, geographical accessibility, and quality of higher education institutions on participation and on the composition of enrolled students, in terms of their educational and socioeconomic backgrounds. We develop a theoretical framework for higher education choices of secondary school graduates where differently talented individuals are financially constrained both in the participation decision and in the choice of which university to attend. The predictions of our theoretical model are tested by estimating a nested logit model for the enrollment decision and university choice where the effect of supply-side attributes is allowed to be heterogeneous across students’ secondary school backgrounds and family social classes. We find that lower costs and a greater geographical distribution increase enrollments by economically disadvantaged students and, at the same time, by students with weaker educational backgrounds. Instead, higher quality institutions attract more talented students regardless of their families’ economic and social status. Enrollment cost (dpeaa)DE-He213 University quality (dpeaa)DE-He213 Enrollment composition (dpeaa)DE-He213 University choice (dpeaa)DE-He213 Nested logit model (dpeaa)DE-He213 Staffolani, Stefano verfasserin aut Enthalten in Higher education Dordrecht [u.a.] : Springer Science + Business Media B.V, 1972 71(2015), 1 vom: 05. Mai, Seite 119-142 (DE-627)320529320 (DE-600)2015566-9 1573-174X nnns volume:71 year:2015 number:1 day:05 month:05 pages:119-142 https://dx.doi.org/10.1007/s10734-015-9892-8 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_374 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2018 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_2935 GBV_ILN_2949 GBV_ILN_2950 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4346 GBV_ILN_4393 GBV_ILN_4700 81.00 ASE AR 71 2015 1 05 05 119-142
spelling	10.1007/s10734-015-9892-8 doi (DE-627)SPR012820024 (SPR)s10734-015-9892-8-e DE-627 ger DE-627 rakwb eng 370 ASE 81.00 bkl Pigini, Claudia verfasserin aut Beyond participation: do the cost and quality of higher education shape the enrollment composition? The case of Italy 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract We analyze the effects of costs, geographical accessibility, and quality of higher education institutions on participation and on the composition of enrolled students, in terms of their educational and socioeconomic backgrounds. We develop a theoretical framework for higher education choices of secondary school graduates where differently talented individuals are financially constrained both in the participation decision and in the choice of which university to attend. The predictions of our theoretical model are tested by estimating a nested logit model for the enrollment decision and university choice where the effect of supply-side attributes is allowed to be heterogeneous across students’ secondary school backgrounds and family social classes. We find that lower costs and a greater geographical distribution increase enrollments by economically disadvantaged students and, at the same time, by students with weaker educational backgrounds. Instead, higher quality institutions attract more talented students regardless of their families’ economic and social status. Enrollment cost (dpeaa)DE-He213 University quality (dpeaa)DE-He213 Enrollment composition (dpeaa)DE-He213 University choice (dpeaa)DE-He213 Nested logit model (dpeaa)DE-He213 Staffolani, Stefano verfasserin aut Enthalten in Higher education Dordrecht [u.a.] : Springer Science + Business Media B.V, 1972 71(2015), 1 vom: 05. Mai, Seite 119-142 (DE-627)320529320 (DE-600)2015566-9 1573-174X nnns volume:71 year:2015 number:1 day:05 month:05 pages:119-142 https://dx.doi.org/10.1007/s10734-015-9892-8 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_374 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2018 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_2935 GBV_ILN_2949 GBV_ILN_2950 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4346 GBV_ILN_4393 GBV_ILN_4700 81.00 ASE AR 71 2015 1 05 05 119-142
allfields_unstemmed	10.1007/s10734-015-9892-8 doi (DE-627)SPR012820024 (SPR)s10734-015-9892-8-e DE-627 ger DE-627 rakwb eng 370 ASE 81.00 bkl Pigini, Claudia verfasserin aut Beyond participation: do the cost and quality of higher education shape the enrollment composition? The case of Italy 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract We analyze the effects of costs, geographical accessibility, and quality of higher education institutions on participation and on the composition of enrolled students, in terms of their educational and socioeconomic backgrounds. We develop a theoretical framework for higher education choices of secondary school graduates where differently talented individuals are financially constrained both in the participation decision and in the choice of which university to attend. The predictions of our theoretical model are tested by estimating a nested logit model for the enrollment decision and university choice where the effect of supply-side attributes is allowed to be heterogeneous across students’ secondary school backgrounds and family social classes. We find that lower costs and a greater geographical distribution increase enrollments by economically disadvantaged students and, at the same time, by students with weaker educational backgrounds. Instead, higher quality institutions attract more talented students regardless of their families’ economic and social status. Enrollment cost (dpeaa)DE-He213 University quality (dpeaa)DE-He213 Enrollment composition (dpeaa)DE-He213 University choice (dpeaa)DE-He213 Nested logit model (dpeaa)DE-He213 Staffolani, Stefano verfasserin aut Enthalten in Higher education Dordrecht [u.a.] : Springer Science + Business Media B.V, 1972 71(2015), 1 vom: 05. Mai, Seite 119-142 (DE-627)320529320 (DE-600)2015566-9 1573-174X nnns volume:71 year:2015 number:1 day:05 month:05 pages:119-142 https://dx.doi.org/10.1007/s10734-015-9892-8 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_374 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2018 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_2935 GBV_ILN_2949 GBV_ILN_2950 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4346 GBV_ILN_4393 GBV_ILN_4700 81.00 ASE AR 71 2015 1 05 05 119-142
allfieldsGer	10.1007/s10734-015-9892-8 doi (DE-627)SPR012820024 (SPR)s10734-015-9892-8-e DE-627 ger DE-627 rakwb eng 370 ASE 81.00 bkl Pigini, Claudia verfasserin aut Beyond participation: do the cost and quality of higher education shape the enrollment composition? The case of Italy 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract We analyze the effects of costs, geographical accessibility, and quality of higher education institutions on participation and on the composition of enrolled students, in terms of their educational and socioeconomic backgrounds. We develop a theoretical framework for higher education choices of secondary school graduates where differently talented individuals are financially constrained both in the participation decision and in the choice of which university to attend. The predictions of our theoretical model are tested by estimating a nested logit model for the enrollment decision and university choice where the effect of supply-side attributes is allowed to be heterogeneous across students’ secondary school backgrounds and family social classes. We find that lower costs and a greater geographical distribution increase enrollments by economically disadvantaged students and, at the same time, by students with weaker educational backgrounds. Instead, higher quality institutions attract more talented students regardless of their families’ economic and social status. Enrollment cost (dpeaa)DE-He213 University quality (dpeaa)DE-He213 Enrollment composition (dpeaa)DE-He213 University choice (dpeaa)DE-He213 Nested logit model (dpeaa)DE-He213 Staffolani, Stefano verfasserin aut Enthalten in Higher education Dordrecht [u.a.] : Springer Science + Business Media B.V, 1972 71(2015), 1 vom: 05. Mai, Seite 119-142 (DE-627)320529320 (DE-600)2015566-9 1573-174X nnns volume:71 year:2015 number:1 day:05 month:05 pages:119-142 https://dx.doi.org/10.1007/s10734-015-9892-8 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_374 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2018 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_2935 GBV_ILN_2949 GBV_ILN_2950 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4346 GBV_ILN_4393 GBV_ILN_4700 81.00 ASE AR 71 2015 1 05 05 119-142
allfieldsSound	10.1007/s10734-015-9892-8 doi (DE-627)SPR012820024 (SPR)s10734-015-9892-8-e DE-627 ger DE-627 rakwb eng 370 ASE 81.00 bkl Pigini, Claudia verfasserin aut Beyond participation: do the cost and quality of higher education shape the enrollment composition? The case of Italy 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract We analyze the effects of costs, geographical accessibility, and quality of higher education institutions on participation and on the composition of enrolled students, in terms of their educational and socioeconomic backgrounds. We develop a theoretical framework for higher education choices of secondary school graduates where differently talented individuals are financially constrained both in the participation decision and in the choice of which university to attend. The predictions of our theoretical model are tested by estimating a nested logit model for the enrollment decision and university choice where the effect of supply-side attributes is allowed to be heterogeneous across students’ secondary school backgrounds and family social classes. We find that lower costs and a greater geographical distribution increase enrollments by economically disadvantaged students and, at the same time, by students with weaker educational backgrounds. Instead, higher quality institutions attract more talented students regardless of their families’ economic and social status. Enrollment cost (dpeaa)DE-He213 University quality (dpeaa)DE-He213 Enrollment composition (dpeaa)DE-He213 University choice (dpeaa)DE-He213 Nested logit model (dpeaa)DE-He213 Staffolani, Stefano verfasserin aut Enthalten in Higher education Dordrecht [u.a.] : Springer Science + Business Media B.V, 1972 71(2015), 1 vom: 05. Mai, Seite 119-142 (DE-627)320529320 (DE-600)2015566-9 1573-174X nnns volume:71 year:2015 number:1 day:05 month:05 pages:119-142 https://dx.doi.org/10.1007/s10734-015-9892-8 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_374 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2018 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_2935 GBV_ILN_2949 GBV_ILN_2950 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4346 GBV_ILN_4393 GBV_ILN_4700 81.00 ASE AR 71 2015 1 05 05 119-142
language	English
source	Enthalten in Higher education 71(2015), 1 vom: 05. Mai, Seite 119-142 volume:71 year:2015 number:1 day:05 month:05 pages:119-142
sourceStr	Enthalten in Higher education 71(2015), 1 vom: 05. Mai, Seite 119-142 volume:71 year:2015 number:1 day:05 month:05 pages:119-142
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Enrollment cost University quality Enrollment composition University choice Nested logit model
dewey-raw	370
isfreeaccess_bool	false
container_title	Higher education
authorswithroles_txt_mv	Pigini, Claudia @@aut@@ Staffolani, Stefano @@aut@@
publishDateDaySort_date	2015-05-05T00:00:00Z
hierarchy_top_id	320529320
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author	Pigini, Claudia
spellingShingle	Pigini, Claudia ddc 370 bkl 81.00 misc Enrollment cost misc University quality misc Enrollment composition misc University choice misc Nested logit model Beyond participation: do the cost and quality of higher education shape the enrollment composition? The case of Italy
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topic_title	370 ASE 81.00 bkl Beyond participation: do the cost and quality of higher education shape the enrollment composition? The case of Italy Enrollment cost (dpeaa)DE-He213 University quality (dpeaa)DE-He213 Enrollment composition (dpeaa)DE-He213 University choice (dpeaa)DE-He213 Nested logit model (dpeaa)DE-He213
topic	ddc 370 bkl 81.00 misc Enrollment cost misc University quality misc Enrollment composition misc University choice misc Nested logit model
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title	Beyond participation: do the cost and quality of higher education shape the enrollment composition? The case of Italy
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title_full	Beyond participation: do the cost and quality of higher education shape the enrollment composition? The case of Italy
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title_sort	beyond participation: do the cost and quality of higher education shape the enrollment composition? the case of italy
title_auth	Beyond participation: do the cost and quality of higher education shape the enrollment composition? The case of Italy
abstract	Abstract We analyze the effects of costs, geographical accessibility, and quality of higher education institutions on participation and on the composition of enrolled students, in terms of their educational and socioeconomic backgrounds. We develop a theoretical framework for higher education choices of secondary school graduates where differently talented individuals are financially constrained both in the participation decision and in the choice of which university to attend. The predictions of our theoretical model are tested by estimating a nested logit model for the enrollment decision and university choice where the effect of supply-side attributes is allowed to be heterogeneous across students’ secondary school backgrounds and family social classes. We find that lower costs and a greater geographical distribution increase enrollments by economically disadvantaged students and, at the same time, by students with weaker educational backgrounds. Instead, higher quality institutions attract more talented students regardless of their families’ economic and social status.
abstractGer	Abstract We analyze the effects of costs, geographical accessibility, and quality of higher education institutions on participation and on the composition of enrolled students, in terms of their educational and socioeconomic backgrounds. We develop a theoretical framework for higher education choices of secondary school graduates where differently talented individuals are financially constrained both in the participation decision and in the choice of which university to attend. The predictions of our theoretical model are tested by estimating a nested logit model for the enrollment decision and university choice where the effect of supply-side attributes is allowed to be heterogeneous across students’ secondary school backgrounds and family social classes. We find that lower costs and a greater geographical distribution increase enrollments by economically disadvantaged students and, at the same time, by students with weaker educational backgrounds. Instead, higher quality institutions attract more talented students regardless of their families’ economic and social status.
abstract_unstemmed	Abstract We analyze the effects of costs, geographical accessibility, and quality of higher education institutions on participation and on the composition of enrolled students, in terms of their educational and socioeconomic backgrounds. We develop a theoretical framework for higher education choices of secondary school graduates where differently talented individuals are financially constrained both in the participation decision and in the choice of which university to attend. The predictions of our theoretical model are tested by estimating a nested logit model for the enrollment decision and university choice where the effect of supply-side attributes is allowed to be heterogeneous across students’ secondary school backgrounds and family social classes. We find that lower costs and a greater geographical distribution increase enrollments by economically disadvantaged students and, at the same time, by students with weaker educational backgrounds. Instead, higher quality institutions attract more talented students regardless of their families’ economic and social status.
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title_short	Beyond participation: do the cost and quality of higher education shape the enrollment composition? The case of Italy
url	https://dx.doi.org/10.1007/s10734-015-9892-8
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author2	Staffolani, Stefano
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doi_str	10.1007/s10734-015-9892-8
up_date	2024-07-03T15:33:29.951Z
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