A stochastic dominance test under survey nonresponse with an application to comparing trust levels in Lebanese public institutions
Stochastic dominance comparisons of distributions based on ordinal data arise in many areas of economics. This paper develops a testing procedure for such comparisons under survey sampling from large finite populations with nonresponse using the worst-case bounds of the distributions. The advantage...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Fakih, Ali [verfasserIn] |
|---|
| Format: |
E-Artikel |
|---|---|
| Sprache: |
Englisch |
| Erschienen: |
2022transfer abstract |
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| Schlagwörter: |
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| Umfang: |
17 |
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| Übergeordnetes Werk: |
Enthalten in: Contents - 2017, Amsterdam [u.a.] |
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| Übergeordnetes Werk: |
volume:228 ; year:2022 ; number:2 ; pages:342-358 ; extent:17 |
| Links: |
|---|
| DOI / URN: |
10.1016/j.jeconom.2021.09.016 |
|---|
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ELV057423164 |
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| 520 | |a Stochastic dominance comparisons of distributions based on ordinal data arise in many areas of economics. This paper develops a testing procedure for such comparisons under survey sampling from large finite populations with nonresponse using the worst-case bounds of the distributions. The advantage of using these bounds in distributional comparisons is that conclusions are robust to the nature of the nonresponse-generating mechanism. While these bounds on the distributions are often too wide in practice, we show that they can be informative for distributional comparisons in an empirical analysis. This paper examines the dynamics of trust in Lebanese public institutions using the 2013 wave of the World Values Survey as well as the 2016 and 2018 waves of the Arab Barometer, and finds convincing evidence of a decrease in confidence in most public institutions between 2013 and 2016. | ||
| 520 | |a Stochastic dominance comparisons of distributions based on ordinal data arise in many areas of economics. This paper develops a testing procedure for such comparisons under survey sampling from large finite populations with nonresponse using the worst-case bounds of the distributions. The advantage of using these bounds in distributional comparisons is that conclusions are robust to the nature of the nonresponse-generating mechanism. While these bounds on the distributions are often too wide in practice, we show that they can be informative for distributional comparisons in an empirical analysis. This paper examines the dynamics of trust in Lebanese public institutions using the 2013 wave of the World Values Survey as well as the 2016 and 2018 waves of the Arab Barometer, and finds convincing evidence of a decrease in confidence in most public institutions between 2013 and 2016. | ||
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10.1016/j.jeconom.2021.09.016 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001738.pica (DE-627)ELV057423164 (ELSEVIER)S0304-4076(21)00231-1 DE-627 ger DE-627 rakwb eng 610 VZ 630 640 VZ 48.00 bkl Fakih, Ali verfasserin aut A stochastic dominance test under survey nonresponse with an application to comparing trust levels in Lebanese public institutions 2022transfer abstract 17 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Stochastic dominance comparisons of distributions based on ordinal data arise in many areas of economics. This paper develops a testing procedure for such comparisons under survey sampling from large finite populations with nonresponse using the worst-case bounds of the distributions. The advantage of using these bounds in distributional comparisons is that conclusions are robust to the nature of the nonresponse-generating mechanism. While these bounds on the distributions are often too wide in practice, we show that they can be informative for distributional comparisons in an empirical analysis. This paper examines the dynamics of trust in Lebanese public institutions using the 2013 wave of the World Values Survey as well as the 2016 and 2018 waves of the Arab Barometer, and finds convincing evidence of a decrease in confidence in most public institutions between 2013 and 2016. Stochastic dominance comparisons of distributions based on ordinal data arise in many areas of economics. This paper develops a testing procedure for such comparisons under survey sampling from large finite populations with nonresponse using the worst-case bounds of the distributions. The advantage of using these bounds in distributional comparisons is that conclusions are robust to the nature of the nonresponse-generating mechanism. While these bounds on the distributions are often too wide in practice, we show that they can be informative for distributional comparisons in an empirical analysis. This paper examines the dynamics of trust in Lebanese public institutions using the 2013 wave of the World Values Survey as well as the 2016 and 2018 waves of the Arab Barometer, and finds convincing evidence of a decrease in confidence in most public institutions between 2013 and 2016. C12 Elsevier C14 Elsevier Makdissi, Paul oth Marrouch, Walid oth Tabri, Rami V. oth Yazbeck, Myra oth Enthalten in Elsevier Contents 2017 Amsterdam [u.a.] (DE-627)ELV014891271 volume:228 year:2022 number:2 pages:342-358 extent:17 https://doi.org/10.1016/j.jeconom.2021.09.016 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OPC-FOR GBV_ILN_11 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_65 GBV_ILN_235 48.00 Land- und Forstwirtschaft: Allgemeines VZ AR 228 2022 2 342-358 17 |
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10.1016/j.jeconom.2021.09.016 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001738.pica (DE-627)ELV057423164 (ELSEVIER)S0304-4076(21)00231-1 DE-627 ger DE-627 rakwb eng 610 VZ 630 640 VZ 48.00 bkl Fakih, Ali verfasserin aut A stochastic dominance test under survey nonresponse with an application to comparing trust levels in Lebanese public institutions 2022transfer abstract 17 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Stochastic dominance comparisons of distributions based on ordinal data arise in many areas of economics. This paper develops a testing procedure for such comparisons under survey sampling from large finite populations with nonresponse using the worst-case bounds of the distributions. The advantage of using these bounds in distributional comparisons is that conclusions are robust to the nature of the nonresponse-generating mechanism. While these bounds on the distributions are often too wide in practice, we show that they can be informative for distributional comparisons in an empirical analysis. This paper examines the dynamics of trust in Lebanese public institutions using the 2013 wave of the World Values Survey as well as the 2016 and 2018 waves of the Arab Barometer, and finds convincing evidence of a decrease in confidence in most public institutions between 2013 and 2016. Stochastic dominance comparisons of distributions based on ordinal data arise in many areas of economics. This paper develops a testing procedure for such comparisons under survey sampling from large finite populations with nonresponse using the worst-case bounds of the distributions. The advantage of using these bounds in distributional comparisons is that conclusions are robust to the nature of the nonresponse-generating mechanism. While these bounds on the distributions are often too wide in practice, we show that they can be informative for distributional comparisons in an empirical analysis. This paper examines the dynamics of trust in Lebanese public institutions using the 2013 wave of the World Values Survey as well as the 2016 and 2018 waves of the Arab Barometer, and finds convincing evidence of a decrease in confidence in most public institutions between 2013 and 2016. C12 Elsevier C14 Elsevier Makdissi, Paul oth Marrouch, Walid oth Tabri, Rami V. oth Yazbeck, Myra oth Enthalten in Elsevier Contents 2017 Amsterdam [u.a.] (DE-627)ELV014891271 volume:228 year:2022 number:2 pages:342-358 extent:17 https://doi.org/10.1016/j.jeconom.2021.09.016 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OPC-FOR GBV_ILN_11 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_65 GBV_ILN_235 48.00 Land- und Forstwirtschaft: Allgemeines VZ AR 228 2022 2 342-358 17 |
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10.1016/j.jeconom.2021.09.016 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001738.pica (DE-627)ELV057423164 (ELSEVIER)S0304-4076(21)00231-1 DE-627 ger DE-627 rakwb eng 610 VZ 630 640 VZ 48.00 bkl Fakih, Ali verfasserin aut A stochastic dominance test under survey nonresponse with an application to comparing trust levels in Lebanese public institutions 2022transfer abstract 17 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Stochastic dominance comparisons of distributions based on ordinal data arise in many areas of economics. This paper develops a testing procedure for such comparisons under survey sampling from large finite populations with nonresponse using the worst-case bounds of the distributions. The advantage of using these bounds in distributional comparisons is that conclusions are robust to the nature of the nonresponse-generating mechanism. While these bounds on the distributions are often too wide in practice, we show that they can be informative for distributional comparisons in an empirical analysis. This paper examines the dynamics of trust in Lebanese public institutions using the 2013 wave of the World Values Survey as well as the 2016 and 2018 waves of the Arab Barometer, and finds convincing evidence of a decrease in confidence in most public institutions between 2013 and 2016. Stochastic dominance comparisons of distributions based on ordinal data arise in many areas of economics. This paper develops a testing procedure for such comparisons under survey sampling from large finite populations with nonresponse using the worst-case bounds of the distributions. The advantage of using these bounds in distributional comparisons is that conclusions are robust to the nature of the nonresponse-generating mechanism. While these bounds on the distributions are often too wide in practice, we show that they can be informative for distributional comparisons in an empirical analysis. This paper examines the dynamics of trust in Lebanese public institutions using the 2013 wave of the World Values Survey as well as the 2016 and 2018 waves of the Arab Barometer, and finds convincing evidence of a decrease in confidence in most public institutions between 2013 and 2016. C12 Elsevier C14 Elsevier Makdissi, Paul oth Marrouch, Walid oth Tabri, Rami V. oth Yazbeck, Myra oth Enthalten in Elsevier Contents 2017 Amsterdam [u.a.] (DE-627)ELV014891271 volume:228 year:2022 number:2 pages:342-358 extent:17 https://doi.org/10.1016/j.jeconom.2021.09.016 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OPC-FOR GBV_ILN_11 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_65 GBV_ILN_235 48.00 Land- und Forstwirtschaft: Allgemeines VZ AR 228 2022 2 342-358 17 |
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10.1016/j.jeconom.2021.09.016 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001738.pica (DE-627)ELV057423164 (ELSEVIER)S0304-4076(21)00231-1 DE-627 ger DE-627 rakwb eng 610 VZ 630 640 VZ 48.00 bkl Fakih, Ali verfasserin aut A stochastic dominance test under survey nonresponse with an application to comparing trust levels in Lebanese public institutions 2022transfer abstract 17 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Stochastic dominance comparisons of distributions based on ordinal data arise in many areas of economics. This paper develops a testing procedure for such comparisons under survey sampling from large finite populations with nonresponse using the worst-case bounds of the distributions. The advantage of using these bounds in distributional comparisons is that conclusions are robust to the nature of the nonresponse-generating mechanism. While these bounds on the distributions are often too wide in practice, we show that they can be informative for distributional comparisons in an empirical analysis. This paper examines the dynamics of trust in Lebanese public institutions using the 2013 wave of the World Values Survey as well as the 2016 and 2018 waves of the Arab Barometer, and finds convincing evidence of a decrease in confidence in most public institutions between 2013 and 2016. Stochastic dominance comparisons of distributions based on ordinal data arise in many areas of economics. This paper develops a testing procedure for such comparisons under survey sampling from large finite populations with nonresponse using the worst-case bounds of the distributions. The advantage of using these bounds in distributional comparisons is that conclusions are robust to the nature of the nonresponse-generating mechanism. While these bounds on the distributions are often too wide in practice, we show that they can be informative for distributional comparisons in an empirical analysis. This paper examines the dynamics of trust in Lebanese public institutions using the 2013 wave of the World Values Survey as well as the 2016 and 2018 waves of the Arab Barometer, and finds convincing evidence of a decrease in confidence in most public institutions between 2013 and 2016. C12 Elsevier C14 Elsevier Makdissi, Paul oth Marrouch, Walid oth Tabri, Rami V. oth Yazbeck, Myra oth Enthalten in Elsevier Contents 2017 Amsterdam [u.a.] (DE-627)ELV014891271 volume:228 year:2022 number:2 pages:342-358 extent:17 https://doi.org/10.1016/j.jeconom.2021.09.016 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OPC-FOR GBV_ILN_11 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_65 GBV_ILN_235 48.00 Land- und Forstwirtschaft: Allgemeines VZ AR 228 2022 2 342-358 17 |
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10.1016/j.jeconom.2021.09.016 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001738.pica (DE-627)ELV057423164 (ELSEVIER)S0304-4076(21)00231-1 DE-627 ger DE-627 rakwb eng 610 VZ 630 640 VZ 48.00 bkl Fakih, Ali verfasserin aut A stochastic dominance test under survey nonresponse with an application to comparing trust levels in Lebanese public institutions 2022transfer abstract 17 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Stochastic dominance comparisons of distributions based on ordinal data arise in many areas of economics. This paper develops a testing procedure for such comparisons under survey sampling from large finite populations with nonresponse using the worst-case bounds of the distributions. The advantage of using these bounds in distributional comparisons is that conclusions are robust to the nature of the nonresponse-generating mechanism. While these bounds on the distributions are often too wide in practice, we show that they can be informative for distributional comparisons in an empirical analysis. This paper examines the dynamics of trust in Lebanese public institutions using the 2013 wave of the World Values Survey as well as the 2016 and 2018 waves of the Arab Barometer, and finds convincing evidence of a decrease in confidence in most public institutions between 2013 and 2016. Stochastic dominance comparisons of distributions based on ordinal data arise in many areas of economics. This paper develops a testing procedure for such comparisons under survey sampling from large finite populations with nonresponse using the worst-case bounds of the distributions. The advantage of using these bounds in distributional comparisons is that conclusions are robust to the nature of the nonresponse-generating mechanism. While these bounds on the distributions are often too wide in practice, we show that they can be informative for distributional comparisons in an empirical analysis. This paper examines the dynamics of trust in Lebanese public institutions using the 2013 wave of the World Values Survey as well as the 2016 and 2018 waves of the Arab Barometer, and finds convincing evidence of a decrease in confidence in most public institutions between 2013 and 2016. C12 Elsevier C14 Elsevier Makdissi, Paul oth Marrouch, Walid oth Tabri, Rami V. oth Yazbeck, Myra oth Enthalten in Elsevier Contents 2017 Amsterdam [u.a.] (DE-627)ELV014891271 volume:228 year:2022 number:2 pages:342-358 extent:17 https://doi.org/10.1016/j.jeconom.2021.09.016 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OPC-FOR GBV_ILN_11 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_65 GBV_ILN_235 48.00 Land- und Forstwirtschaft: Allgemeines VZ AR 228 2022 2 342-358 17 |
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a stochastic dominance test under survey nonresponse with an application to comparing trust levels in lebanese public institutions |
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A stochastic dominance test under survey nonresponse with an application to comparing trust levels in Lebanese public institutions |
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Stochastic dominance comparisons of distributions based on ordinal data arise in many areas of economics. This paper develops a testing procedure for such comparisons under survey sampling from large finite populations with nonresponse using the worst-case bounds of the distributions. The advantage of using these bounds in distributional comparisons is that conclusions are robust to the nature of the nonresponse-generating mechanism. While these bounds on the distributions are often too wide in practice, we show that they can be informative for distributional comparisons in an empirical analysis. This paper examines the dynamics of trust in Lebanese public institutions using the 2013 wave of the World Values Survey as well as the 2016 and 2018 waves of the Arab Barometer, and finds convincing evidence of a decrease in confidence in most public institutions between 2013 and 2016. |
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Stochastic dominance comparisons of distributions based on ordinal data arise in many areas of economics. This paper develops a testing procedure for such comparisons under survey sampling from large finite populations with nonresponse using the worst-case bounds of the distributions. The advantage of using these bounds in distributional comparisons is that conclusions are robust to the nature of the nonresponse-generating mechanism. While these bounds on the distributions are often too wide in practice, we show that they can be informative for distributional comparisons in an empirical analysis. This paper examines the dynamics of trust in Lebanese public institutions using the 2013 wave of the World Values Survey as well as the 2016 and 2018 waves of the Arab Barometer, and finds convincing evidence of a decrease in confidence in most public institutions between 2013 and 2016. |
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Stochastic dominance comparisons of distributions based on ordinal data arise in many areas of economics. This paper develops a testing procedure for such comparisons under survey sampling from large finite populations with nonresponse using the worst-case bounds of the distributions. The advantage of using these bounds in distributional comparisons is that conclusions are robust to the nature of the nonresponse-generating mechanism. While these bounds on the distributions are often too wide in practice, we show that they can be informative for distributional comparisons in an empirical analysis. This paper examines the dynamics of trust in Lebanese public institutions using the 2013 wave of the World Values Survey as well as the 2016 and 2018 waves of the Arab Barometer, and finds convincing evidence of a decrease in confidence in most public institutions between 2013 and 2016. |
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A stochastic dominance test under survey nonresponse with an application to comparing trust levels in Lebanese public institutions |
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