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  1. Cultural intelligence in the world of work
    past, present, future
    Autor*in: Liao, Yuan; Thomas, David C.
    Erschienen: [2020]
    Verlag:  Springer, Cham

    Standort:
    Freie Universität Berlin, Universitätsbibliothek
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    Quelle: Philologische Bibliothek, FU Berlin
    Sprache: Englisch
    Medientyp: Ebook
    Format: Online
    ISBN: 9783030181710
    Weitere Identifier:
    RVK Klassifikation: CV 3500 ; QP 305
    Schriftenreihe: Springer series in emerging cultural perspectives in work, organizational, and personnel studies
    Schlagworte: Industrial and Organizational Psychology; Cross-Cultural Management; Industrial psychology; International business enterprises—Cross-cultural studies; Interkulturelle Kompetenz; Sozialkompetenz; Arbeitswelt; Kulturkontakt
    Umfang: 1 Online-Ressource (xiii, 183 Seiten)
  2. Cultural intelligence in the world of work
    past, present, future
    Autor*in: Liao, Yuan; Thomas, David C.
    Erschienen: [2020]
    Verlag:  Springer, Cham

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    Quelle: Verbundkataloge
    Sprache: Englisch
    Medientyp: Buch (Monographie)
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    ISBN: 9783030181703
    RVK Klassifikation: CV 3500 ; QP 305
    Schriftenreihe: Springer series in emerging cultural perspectives in work, organizational, and personnel studies
    Schlagworte: Industrial and Organizational Psychology; Cross-Cultural Management; Industrial psychology; International business enterprises—Cross-cultural studies
    Umfang: xiii, 183 Seiten
    Bemerkung(en):

    Enthält: Literaturangaben
  3. Dynamic heterogeneous distribution regression panel models, with an application to labor income processes
    Autor*in: Fernández-Val, Iván; Gao, Wayne Yuan; Liao, Yuan; Vella, Francis
    Erschienen: [2022]
    Verlag:  Cemmap, Centre for Microdata Methods and Practice, The Institute for Fiscal Studies, Department of Economics, UCL, [London]

    We consider estimation of a dynamic distribution regression panel data model with heterogeneous coefficients across units. The objects of interest are functionals of these coefficients including linear projections on unit level covariates. We also... mehr

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    We consider estimation of a dynamic distribution regression panel data model with heterogeneous coefficients across units. The objects of interest are functionals of these coefficients including linear projections on unit level covariates. We also consider predicted actual and stationary distributions of the outcome variable. We investigate how changes in initial conditions or covariate values affect these objects. Coefficients and their functionals are estimated via fixed effect methods, which are debiased to deal with the incidental parameter problem. We propose a cross-sectional bootstrap method for uniformly valid inference on function-valued objects. This avoids coefficient re-estimation and is shown to be consistent for a large class of data generating processes. We employ PSID annual labor income data to illustrate various important empirical issues we can address. We first predict the impact of a reduction in income on future income via hypothetical tax policies. Second, we examine the impact on the distribution of labor income from increasing the education level of a chosen group of workers. Finally, we demonstrate the existence of heterogeneity in income mobility, which leads to substantial variation in individuals' incidences to be trapped in poverty. We also provide simulation evidence confirming that our procedures work well.

     
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    Sprache: Englisch
    Medientyp: Buch (Monographie)
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    Weitere Identifier:
    hdl: 10419/260391
    Schriftenreihe: Cemmap working paper ; CWP22, 10
    Schlagworte: Panel; Regressionsanalyse; Bootstrap-Verfahren; Fixed-Effects-Modell; Lohn; Armut; Verteilungswirkung; USA; distribution regression; individual heterogeneity; panel data; uniform inference; labor income dynamics; incidental parameter problem; poverty traps
    Umfang: 1 Online-Ressource (circa 101 Seiten), Illustrationen
  4. Dynamic heterogeneous distribution regression panel models, with an application to labor income processes
    Autor*in: Fernández-Val, Iván; Gao, Wayne Yuan; Liao, Yuan; Vella, Francis
    Erschienen: April 2022
    Verlag:  IZA - Institute of Labor Economics, Bonn, Germany

    We consider estimation of a dynamic distribution regression panel data model with heterogeneous coefficients across units. The objects of interest are functionals of these coefficients including linear projections on unit level covariates. We also... mehr

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    We consider estimation of a dynamic distribution regression panel data model with heterogeneous coefficients across units. The objects of interest are functionals of these coefficients including linear projections on unit level covariates. We also consider predicted actual and stationary distributions of the outcome variable. We investigate how changes in initial conditions or covariate values affect these objects. Coefficients and their functionals are estimated via fixed effect methods, which are debiased to deal with the incidental parameter problem. We propose a cross-sectional bootstrap method for uniformly valid inference on function-valued objects. This avoids coefficient re-estimation and is shown to be consistent for a large class of data generating processes. We employ PSID annual labor income data to illustrate various important empirical issues we can address. We first predict the impact of a reduction in income on future income via hypothetical tax policies. Second, we examine the impact on the distribution of labor income from increasing the education level of a chosen group of workers. Finally, we demonstrate the existence of heterogeneity in income mobility, which leads to substantial variation in individuals' incidences to be trapped in poverty. We also provide simulation evidence confirming that our procedures work well.

     
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    Sprache: Englisch
    Medientyp: Buch (Monographie)
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    Weitere Identifier:
    hdl: 10419/263452
    Schriftenreihe: Discussion paper series / IZA ; no. 15236
    Schlagworte: Panel; Regressionsanalyse; Bootstrap-Verfahren; Fixed-Effects-Modell; Lohn; Armut; Verteilungswirkung; USA; distribution regression; individual heterogeneity; panel data; uniform inference; labor income dynamics; incidental parameter problem; poverty traps
    Umfang: 1 Online-Ressource (circa 103 Seiten), Illustrationen
  5. Cultural intelligence in the world of work
    past, present, future
    Autor*in: Liao, Yuan; Thomas, David C.
    Erschienen: [2020]
    Verlag:  Springer, Cham

    Standort:
    Ostbayerische Technische Hochschule Amberg-Weiden / Hochschulbibliothek Amberg
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    Universitätsbibliothek Bamberg
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    Universitätsbibliothek Eichstätt-Ingolstadt, Wirtschaftswissenschaftliche Zweigbibliothek
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    Universität der Bundeswehr München, Universitätsbibliothek
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    Technische Hochschule Nürnberg Georg Simon Ohm, Bibliothek
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    Universitätsbibliothek Passau
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    OTH- Ostbayerische Technische Hochschule Regensburg, Hochschulbibliothek
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    Universitätsbibliothek Regensburg
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    Hochschule für angewandte Wissenschaften Würzburg-Schweinfurt, Abteilungsbibliothek Schweinfurt
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    Universitätsbibliothek Würzburg
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    Volltext (URL des Erstveröffentlichers)
    Quelle: Verbundkataloge
    Sprache: Englisch
    Medientyp: Ebook
    Format: Online
    ISBN: 9783030181710
    Weitere Identifier:
    RVK Klassifikation: CV 3500 ; QP 305
    Schriftenreihe: Springer series in emerging cultural perspectives in work, organizational, and personnel studies
    Schlagworte: Industrial and Organizational Psychology; Cross-Cultural Management; Industrial psychology; International business enterprises—Cross-cultural studies; Interkulturelle Kompetenz; Sozialkompetenz; Arbeitswelt; Kulturkontakt
    Umfang: 1 Online-Ressource (xiii, 183 Seiten)
  6. Cultural intelligence in the world of work
    past, present, future
    Autor*in: Liao, Yuan; Thomas, David C.
    Erschienen: [2020]
    Verlag:  Springer, Cham

    Standort:
    THD - Technische Hochschule Deggendorf, Hochschulbibliothek
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    uneingeschränkte Fernleihe, Kopie und Ausleihe
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    ISBN: 9783030181703
    RVK Klassifikation: CV 3500 ; QP 305
    Schriftenreihe: Springer series in emerging cultural perspectives in work, organizational, and personnel studies
    Schlagworte: Industrial and Organizational Psychology; Cross-Cultural Management; Industrial psychology; International business enterprises—Cross-cultural studies; Kulturkontakt; Arbeitswelt; Sozialkompetenz; Interkulturelle Kompetenz
    Umfang: xiii, 183 Seiten
  7. Handbook of cultural intelligence research
    Beteiligt: Thomas, David C. (Hrsg.); Liao, Yuan (Hrsg.)
    Erschienen: [2023]; © 2023
    Verlag:  Edward Elgar, Cheltenham, UK ; Northampton, MA

    "Promoting a greater understanding of intercultural interactions, this timely and engaging Research Handbook provides an overview of the current state of research on cultural intelligence and analyzes its prospects for the future. Including... mehr

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    Universitätsbibliothek Erlangen-Nürnberg, Hauptbibliothek
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    Universitätsbibliothek Eichstätt-Ingolstadt, Wirtschaftswissenschaftliche Zweigbibliothek
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    Standort:
    Bayerische Staatsbibliothek
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    Technische Universität München, Universitätsbibliothek
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    "Promoting a greater understanding of intercultural interactions, this timely and engaging Research Handbook provides an overview of the current state of research on cultural intelligence and analyzes its prospects for the future. Including contributions from key researchers in the field as well as those with a more critical perspective, this comprehensive Research Handbook addresses the conceptual backdrop, the measurement and the antecedents of cultural intelligence. It further examines the outcomes associated with cultural intelligence, offers a higher-level analysis of the concept, and concludes with an evaluation of the future research prospects of cultural intelligence. All in all, the Handbook investigates the heightened importance of intercultural interactions among individuals, groups, organizations, and societies in an increasingly interconnected global community. Covering a wide range of perspectives on cultural intelligence and related constructs, this Research Handbook will be essential reading for students, scholars, and researchers in the areas of employment relations, international business, international and cross-cultural management, occupational psychology, and organizational behavior"--

     
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    Quelle: Verbundkataloge
    Beteiligt: Thomas, David C. (Hrsg.); Liao, Yuan (Hrsg.)
    Sprache: Englisch
    Medientyp: Ebook
    Format: Online
    ISBN: 9781800887169
    Weitere Identifier:
    RVK Klassifikation: QP 305
    Schriftenreihe: Research handbooks in business and management series
    Schlagworte: Interkulturelle Kompetenz; Interkulturelles Management; Diversity Management
    Weitere Schlagworte: Cultural intelligence / Research
    Umfang: 1 Online-Ressource (xxii, 484 Seiten)
    Bemerkung(en):

    Titel und Verantwortlichkeitsangabe der Landingpage (Elgaronline) entnommen, da kein Titelblatt vorhanden
  8. Handbook of cultural intelligence research
    Beteiligt: Thomas, David C. (Hrsg.); Liao, Yuan (Hrsg.)
    Erschienen: [2023]
    Verlag:  Edward Elgar Publishing, Cheltenham, UK ; Northampton, MA, USA

    "Promoting a greater understanding of intercultural interactions, this timely and engaging Research Handbook provides an overview of the current state of research on cultural intelligence and analyzes its prospects for the future. Including... mehr

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    Universität der Bundeswehr München, Universitätsbibliothek
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    uneingeschränkte Fernleihe, Kopie und Ausleihe

     

    "Promoting a greater understanding of intercultural interactions, this timely and engaging Research Handbook provides an overview of the current state of research on cultural intelligence and analyzes its prospects for the future. Including contributions from key researchers in the field as well as those with a more critical perspective, this comprehensive Research Handbook addresses the conceptual backdrop, the measurement and the antecedents of cultural intelligence. It further examines the outcomes associated with cultural intelligence, offers a higher-level analysis of the concept, and concludes with an evaluation of the future research prospects of cultural intelligence. All in all, the Handbook investigates the heightened importance of intercultural interactions among individuals, groups, organizations, and societies in an increasingly interconnected global community. Covering a wide range of perspectives on cultural intelligence and related constructs, this Research Handbook will be essential reading for students, scholars, and researchers in the areas of employment relations, international business, international and cross-cultural management, occupational psychology, and organizational behavior"--

     
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  9. Inference for heterogeneous effects using low-rank estimations
    Autor*in: Chernozhukov, Victor; Hansen, Christian Bailey; Liao, Yuan; Zhu, Yinchu
    Erschienen: [2019]
    Verlag:  Cemmap, Centre for Microdata Methods and Practice, The Institute for Fiscal Studies, Department of Economics, UCL, [London]

    We study a panel data model with general heterogeneous effects, where slopes are allowed to be varying across both individuals and times. The key assumption for dimension reduction is that the heterogeneous slopes can be expressed as a factor... mehr

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    We study a panel data model with general heterogeneous effects, where slopes are allowed to be varying across both individuals and times. The key assumption for dimension reduction is that the heterogeneous slopes can be expressed as a factor structure so that the high-dimensional slope matrix is of low-rank, so can be estimated using low-rank regularized regression. Our paper makes an important theoretical contribution on the "post-SVT (singular value thresholding) inference". Formally, we show that the post-SVT inference can be conducted via three steps: (1) apply the nuclear-norm penalized estimation;(2) extract eigenvectors from the estimated low-rank matrices, and (3) run least squares to iteratively estimate the individual and time effect components in the slope matrix. To properly control for the effect of the penalized low-rank estimation, we argue that this procedure should be embedded with "partial out the mean structure" and "sample splitting". The resulting estimators are asymptotically normal and admit valid inferences. Empirically, we apply the proposed methods to estimate the county-level minimum wage effects on the employment.

     
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    Sprache: Englisch
    Medientyp: Buch (Monographie)
    Format: Online
    Weitere Identifier:
    hdl: 10419/211124
    Schriftenreihe: Cemmap working paper ; CWP19, 31
    Umfang: 1 Online-Ressource (circa 121 Seiten), Illustrationen
  10. Handbook of cultural intelligence research
    Beteiligt: Thomas, David C (Herausgeber); Liao, Yuan (Herausgeber)
    Erschienen: [2023]; © 2023
    Verlag:  Edward Elgar Publishing, Cheltenham, UK ; Northampton, MA

    "Promoting a greater understanding of intercultural interactions, this timely and engaging Research Handbook provides an overview of the current state of research on cultural intelligence and analyzes its prospects for the future. Including... mehr

    Standort:
    Universitätsbibliothek Dortmund
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    keine Fernleihe

     

    "Promoting a greater understanding of intercultural interactions, this timely and engaging Research Handbook provides an overview of the current state of research on cultural intelligence and analyzes its prospects for the future. Including contributions from key researchers in the field as well as those with a more critical perspective, this comprehensive Research Handbook addresses the conceptual backdrop, the measurement and the antecedents of cultural intelligence. It further examines the outcomes associated with cultural intelligence, offers a higher-level analysis of the concept, and concludes with an evaluation of the future research prospects of cultural intelligence. All in all, the Handbook investigates the heightened importance of intercultural interactions among individuals, groups, organizations, and societies in an increasingly interconnected global community. Covering a wide range of perspectives on cultural intelligence and related constructs, this Research Handbook will be essential reading for students, scholars, and researchers in the areas of employment relations, international business, international and cross-cultural management, occupational psychology, and organizational behavior"--

     
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    Quelle: Verbundkataloge
    Beteiligt: Thomas, David C (Herausgeber); Liao, Yuan (Herausgeber)
    Sprache: Englisch
    Medientyp: Ebook
    Format: Online
    ISBN: 9781800887169
    RVK Klassifikation: QP 305
    Schriftenreihe: Research handbooks in business and management series
    Schlagworte: Interkulturelle Kompetenz; Diversity Management; Interkulturelles Management;
    Weitere Schlagworte: Cultural intelligence / Research
    Umfang: 1 Online-Ressource (xxii, 484 Seiten)
  11. Kulturelle Intelligenz in der Arbeitswelt
    Vergangenheit, Gegenwart, Zukunft
    Autor*in: Liao, Yuan
    Erschienen: [2023]
    Verlag:  Springer, Cham

    Standort:
    Landesbibliothekszentrum Rheinland-Pfalz / Rheinische Landesbibliothek
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    Quelle: Verbundkataloge
    Sprache: Deutsch
    Medientyp: Buch (Monographie)
    Format: Druck
    ISBN: 9783031165092
    Weitere Identifier:
    9783031165092
    RVK Klassifikation: QP 305
    Schlagworte: ;
    Umfang: XIII, 180 Seiten, Illustrationen
  12. Desperate times call for desperate measures
    government spending multipliers in hard times
    Autor*in: Lee, Sokbae; Liao, Yuan; Seo, Myung Hwan; Shin, Youngki
    Erschienen: [2019]
    Verlag:  Department of Economics, McMaster University, Hamilton, Ontario

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    Sprache: Englisch
    Medientyp: Buch (Monographie)
    Format: Online
    Schriftenreihe: Department of Economics working paper series / McMaster University, Department of Economics ; 2019, 11
    Umfang: 1 Online-Ressource (circa 13 Seiten), Illustrationen
  13. Sparse HP filter
    finding kinks in the COVID-19 contact rate
    Autor*in: Lee, Sokbae; Liao, Yuan; Seo, Myung Hwan; Shin, Youngki
    Erschienen: [2020]
    Verlag:  Department of Economics, McMaster University, Hamilton, Ontario

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    Schriftenreihe: Department of Economics working paper series / McMaster University, Department of Economics ; 2020, 06
    Umfang: 1 Online-Ressource (circa 47 Seiten), Illustrationen
  14. Desperate times call for desperate measures
    government spending multipliers in hard times
    Autor*in: Lee, Sokbae; Liao, Yuan; Seo, Myung Hwan; Shin, Youngki
    Erschienen: [2020]
    Verlag:  Cemmap, Centre for Microdata Methods and Practice, The Institute for Fiscal Studies, Department of Economics, UCL, [London]

    We investigate state-dependent effects of fiscal multipliers and allow for endogenous sample splitting to determine whether the US economy is in a slack state. When the endogenized slack state is estimated as the period of the unemployment rate... mehr

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    We investigate state-dependent effects of fiscal multipliers and allow for endogenous sample splitting to determine whether the US economy is in a slack state. When the endogenized slack state is estimated as the period of the unemployment rate higher than about 12 percent, the estimated cumulative multipliers are significantly larger during slack periods than non-slack periods and are above unity. We also examine the possibility of time-varying regimes of slackness and find that our empirical results are robust under a more flexible framework. Our estimation results point out the importance of the heterogenous effects of fiscal policy and shed light on the prospect of fiscal policy in response to economic shocks from the current COVID-19 pandemic.

     
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    hdl: 10419/241904
    Schriftenreihe: Cemmap working paper ; CWP20, 29
    Umfang: 1 Online-Ressource (circa 16 Seiten), Illustrationen
  15. Sparse HP filter
    finding kinks in the COVID-19 contact rate
    Autor*in: Lee, Sokbae; Liao, Yuan; Seo, Myung Hwan; Shin, Youngki
    Erschienen: [2020]
    Verlag:  Cemmap, Centre for Microdata Methods and Practice, The Institute for Fiscal Studies, Department of Economics, UCL, [London]

    In this paper, we estimate the time-varying COVID-19 contact rate of a Susceptible-Infected-Recovered (SIR) model. Our measurement of the contact rate is constructed using data on actively infected, recovered and deceased cases. We propose a new... mehr

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    In this paper, we estimate the time-varying COVID-19 contact rate of a Susceptible-Infected-Recovered (SIR) model. Our measurement of the contact rate is constructed using data on actively infected, recovered and deceased cases. We propose a new trend filtering method that is a variant of the Hodrick-Prescott (HP) filter, constrained by the number of possible kinks. We term it the sparse HP filter and apply it to daily data from five countries: Canada, China, South Korea, the UK and the US. Our new method yields the kinks that are well aligned with actual events in each country. We find that the sparse HP filter provides a fewer kinks than the l1 trend filter, while both methods fitting data equally well. Theoretically, we establish risk consistency of both the sparse HP and l1 trend filters. Ultimately, we propose to use time-varying contact growth rates to document and monitor outbreaks of COVID-19.

     
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    hdl: 10419/241907
    Schriftenreihe: Cemmap working paper ; CWP20, 32
    Umfang: 1 Online-Ressource (circa 47 Seiten), Illustrationen
  16. Handbook of cultural intelligence research
    Beteiligt: Thomas, David C. (Hrsg.); Liao, Yuan (Hrsg.)
    Erschienen: [2023]; © 2023
    Verlag:  Edward Elgar, Cheltenham, UK ; Northampton, MA

    "Promoting a greater understanding of intercultural interactions, this timely and engaging Research Handbook provides an overview of the current state of research on cultural intelligence and analyzes its prospects for the future. Including... mehr

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    Freie Universität Berlin, Universitätsbibliothek
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    "Promoting a greater understanding of intercultural interactions, this timely and engaging Research Handbook provides an overview of the current state of research on cultural intelligence and analyzes its prospects for the future. Including contributions from key researchers in the field as well as those with a more critical perspective, this comprehensive Research Handbook addresses the conceptual backdrop, the measurement and the antecedents of cultural intelligence. It further examines the outcomes associated with cultural intelligence, offers a higher-level analysis of the concept, and concludes with an evaluation of the future research prospects of cultural intelligence. All in all, the Handbook investigates the heightened importance of intercultural interactions among individuals, groups, organizations, and societies in an increasingly interconnected global community. Covering a wide range of perspectives on cultural intelligence and related constructs, this Research Handbook will be essential reading for students, scholars, and researchers in the areas of employment relations, international business, international and cross-cultural management, occupational psychology, and organizational behavior"--

     
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    Quelle: Philologische Bibliothek, FU Berlin
    Beteiligt: Thomas, David C. (Hrsg.); Liao, Yuan (Hrsg.)
    Sprache: Englisch
    Medientyp: Ebook
    Format: Online
    ISBN: 9781800887169
    Weitere Identifier:
    RVK Klassifikation: QP 305
    Schriftenreihe: Research handbooks in business and management series
    Schlagworte: Interkulturelle Kompetenz; Interkulturelles Management; Diversity Management
    Weitere Schlagworte: Cultural intelligence / Research
    Umfang: 1 Online-Ressource (xxii, 484 Seiten)
    Bemerkung(en):

    Titel und Verantwortlichkeitsangabe der Landingpage (Elgaronline) entnommen, da kein Titelblatt vorhanden
  17. Sparse HP filter
    finding kinks in the COVID-19 contact rate
    Autor*in: Lee, Sokbae; Liao, Yuan; Seo, Myung Hwan; Shin, Youngki
    Erschienen: June 2020
    Verlag:  [Institute of Economic Research], [Seoul]

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    Quelle: Verbundkataloge
    Sprache: Englisch
    Medientyp: Buch (Monographie)
    Format: Online
    Schriftenreihe: [SIER working paper series ; 136]
    Schlagworte: COVID-19; trend filtering; knots; piecewise linear fitting; Hodrick-Prescott filter
    Umfang: 1 Online-Ressource (circa 46 Seiten)
  18. Handbook of cultural intelligence research
    Beteiligt: Thomas, David C. (Herausgeber); Liao, Yuan (Herausgeber)
    Erschienen: 2023; ©2023
    Verlag:  Edward Elgar Publishing, Cheltenham

    Standort:
    Universität Marburg, Universitätsbibliothek
    Signatur:
    001 MS 4850 T455
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    Beteiligt: Thomas, David C. (Herausgeber); Liao, Yuan (Herausgeber)
    Sprache: Englisch
    Medientyp: Buch (Monographie)
    Format: Druck
    ISBN: 9781800887152
    RVK Klassifikation: QP 305 ; MS 4850
    Schriftenreihe: Research handbooks in business and management series
    Schlagworte: Interkulturelle Kompetenz; Diversity Management; Interkulturelles Management
    Umfang: xxii, 484 Seiten, Illustrationen, Diagramme
    Bemerkung(en):

    Index Seite 465-484
  19. Factor-driven two-regime regression
    Autor*in: Lee, Sokbae; Liao, Yuan; Seo, Myung Hwan; Shin, Youngki
    Erschienen: [2018]
    Verlag:  Department of Economics, McMaster University, Hamilton, Ontario

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    Medientyp: Buch (Monographie)
    Format: Online
    Schriftenreihe: Department of Economics working paper series / McMaster University, Department of Economics ; 2018, 14
    Umfang: 1 Online-Ressource (circa 136 Seiten), Illustrationen
  20. Uniform inference for conditional factor models with instrumental and idiosyncratic betas
    Autor*in: Liao, Yuan; Yang, Xiye
    Erschienen: [2017]
    Verlag:  Rutgers University, Department of Economics, New Brunswick, NJ

    It has been well known in financial economics that factor betas depend on observed instruments such as firm specific characteristics and macroeconomic variables, and a key object of interest is the effect of instruments on the factor betas. One of... mehr

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    It has been well known in financial economics that factor betas depend on observed instruments such as firm specific characteristics and macroeconomic variables, and a key object of interest is the effect of instruments on the factor betas. One of the key features of our model is that we specify the factor betas as functions of time-varying observed instruments that pick up long-run beta fluctuations, plus an orthogonal idiosyncratic component that captures high-frequency movements in beta. It is often the case that researchers do not know whether or not the idiosyncratic beta exists, or its strengths, and thus uniformity is essential for inferences. It is found that the limiting distribution of the estimated instrument effect has a discontinuity when the strength of the idiosyncratic beta is near zero, which makes usual inferences fail to be valid and produce misleading results. In addition, the usual \plug-in" method using the estimated asymptotic variance is only valid pointwise. The central goal is to make inference about the effect on the betas of firms' instruments, and to conduct out-of-sample forecast of integrated volatilities using estimated factors. Both procedures should be valid uniformly over a broad class of data generating processes for idiosyncratic betas with various signal strengths and degrees of time-variant. We show that a cross-sectional bootstrap procedure is essential for the uniform inference, and our procedure also features a bias correction for the effect of estimating unknown factors.

     
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    Medientyp: Buch (Monographie)
    Format: Online
    Weitere Identifier:
    hdl: 10419/200268
    Schriftenreihe: Departmental working papers / Rutgers University, Department of Economics ; (201711)
    Umfang: 1 Online-Ressource (circa 53 Seiten), Illustrationen
  21. Handbook of cultural intelligence research
    Beteiligt: Thomas, David C. (HerausgeberIn); Liao, Yuan (HerausgeberIn)
    Erschienen: [2023]
    Verlag:  Edward Elgar Publishing, Cheltenham, UK

    Standort:
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    Beteiligt: Thomas, David C. (HerausgeberIn); Liao, Yuan (HerausgeberIn)
    Sprache: Englisch
    Medientyp: Buch (Monographie)
    Format: Druck
    ISBN: 9781800887152
    Weitere Identifier:
    Schriftenreihe: Research handbooks in business and management series
    Schlagworte: Cultural intelligence
    Umfang: xxii, 484 Seiten, Illustrationen, Diagramme, 24 cm
  22. The Factor-Lasso and K-Step bootstrap approach for inference in high-dimensional economic applications
    Autor*in: Hansen, Christian Bailey; Liao, Yuan
    Erschienen: 29 Nov 2016
    Verlag:  Rutgers University, Department of Economics, New Brunswick, NJ

    We consider inference about coefficients on a small number of variables of interest in a linear panel data model with additive unobserved individual and time specific effects and a large number of additional time-varying confounding variables. We... mehr

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    We consider inference about coefficients on a small number of variables of interest in a linear panel data model with additive unobserved individual and time specific effects and a large number of additional time-varying confounding variables. We allow the number of these additional confounding variables to be larger than the sample size, and suppose that, in addition to unrestricted time and individual specific effects, these confounding variables are generated by a small number of common factors and high-dimensional weakly-dependent disturbances. We allow that both the factors and the disturbances are related to the outcome variable and other variables of interest. To make informative inference feasible, we impose that the contribution of the part of the confounding variables not captured by time specific effects, individual specific effects, or the common factors can be captured by a relatively small number of terms whose identities are unknown. Within this framework, we provide a convenient computational algorithm based on factor extraction followed by lasso regression for inference about parameters of interest and show that the resulting procedure has good asymptotic properties. We also provide a simple k-step bootstrap procedure that may be used to construct inferential statements about parameters of interest and prove its asymptotic validity. The proposed bootstrap may be of substantive independent interest outside of the present context as the proposed bootstrap may readily be adapted to other contexts involving inference after lasso variable selection and the proof of its validity requires some new technical arguments. We also provide simulation evidence about performance of our procedure and illustrate its use in two empirical applications.

     
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    Medientyp: Buch (Monographie)
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    Weitere Identifier:
    hdl: 10419/162932
    Schriftenreihe: Departmental working papers / Rutgers University, Department of Economics ; 201610
    Umfang: 1 Online-Ressource (circa 81 Seiten), Illustrationen
  23. A lava attack on the recovery sums of dense and sparse signals
    Autor*in: Chernozhukov, Victor; Hansen, Christian Bailey; Liao, Yuan
    Erschienen: 2015
    Verlag:  Centre for Microdata Methods and Practice, London

    Common high-dimensional methods for prediction rely on having either a sparse signal model, a model in which most parameters are zero and there are a small number of non-zero parameters that are large in magnitude, or a dense signal model, a model... mehr

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    Common high-dimensional methods for prediction rely on having either a sparse signal model, a model in which most parameters are zero and there are a small number of non-zero parameters that are large in magnitude, or a dense signal model, a model with no large parameters and very many small non-zero parameters. We consider a generalization of these two basic models, termed here a "sparse+dense" model, in which the signal is given by the sum of a sparse signal and a dense signal. Such a structure poses problems for traditional sparse estimators, such as the lasso, and for traditional dense estimation methods, such as ridge estimation. We propose a new penalization-based method, called lava, which is computationally efficient. With suitable choices of penalty parameters, the proposed method strictly dominates both lasso and ridge. We derive analytic expressions for the finite-sample risk function of the lava estimator in the Gaussian sequence model. We also provide a deviation bound for the prediction risk in the Gaussian regression model with fixed design. In both cases, we provide Stein's unbiased estimator for lava's prediction risk. A simulation example compares the performance of lava to lasso, ridge, and elastic net in a regression example using feasible, data-dependent penalty parameters and illustrates lava's improved performance relative to these benchmarks.

     
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    Weitere Identifier:
    hdl: 10419/130024
    Auflage/Ausgabe: This version: February 10, 201
    Schriftenreihe: Cemmap working paper / Centre for Microdata Methods and Practice ; 05/15
    Umfang: Online-Ressource (34 S.), graph. Darst.
  24. A lava attack on the recovery of sums of dense and sparse signals
    Autor*in: Chernozhukov, Victor; Hansen, Christian Bailey; Liao, Yuan
    Erschienen: 2015
    Verlag:  Centre for Microdata Methods and Practice, London

    Common high-dimensional methods for prediction rely on having either a sparse signal model, a model in which most parameters are zero and there are a small number of non-zero parameters that are large in magnitude, or a dense signal model, a model... mehr

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    Common high-dimensional methods for prediction rely on having either a sparse signal model, a model in which most parameters are zero and there are a small number of non-zero parameters that are large in magnitude, or a dense signal model, a model with no large parameters and very many small non-zero parameters. We consider a generalization of these two basic models, termed here a "sparse + dense" model, in which the signal is given by the sum of a sparse signal and a dense signal. Such a structure poses problems for traditional sparse estimators, such as the lasso, and for traditional dense estimation methods, such as ridge estimation. We propose a new penalization-based method, called lava, which is computationally efficient. With suitable choices of penalty parameters, the proposed method strictly dominates both lasso and ridge. We derive analytic expressions for the finite-sample risk function of the lava estimator in the Gaussian sequence model. We also provide a deviation bound for the prediction risk in the Gaussian regression model with fixed design. In both cases, we provide Stein's unbiased estimator for lava's prediction risk. A simulation example compares the performance of lava to lasso, ridge, and elastic net in a regression example using data-dependent penalty parameters and illustrates lava's improved performance relative to these benchmarks.

     
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    Weitere Identifier:
    hdl: 10419/130071
    Schriftenreihe: Cemmap working paper / Centre for Microdata Methods and Practice ; 56/15
    Umfang: Online-Ressource (35 S.), graph. Darst.
  25. Bayesian inference for partially identified convex models
    is it valid for frequentist inference?
    Autor*in: Liao, Yuan; Simoni, Anna
    Erschienen: 05 Jul 2016
    Verlag:  Rutgers University, Department of Economics, New Brunswick, NJ

    Inference on partially identified models plays an important role in econometrics. This paper proposes novel Bayesian procedures for these models when the identified set is closed and convex and so is completely characterized by its support function.... mehr

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    Inference on partially identified models plays an important role in econometrics. This paper proposes novel Bayesian procedures for these models when the identified set is closed and convex and so is completely characterized by its support function. We shed new light on the connection between Bayesian and frequentist inference for partially identified convex models. We construct Bayesian credible sets for the identified set and uniform credible bands for the support function, as well as a Bayesian procedure for marginal inference, where we may be interested in just one component of the partially identified parameter. Importantly, our procedure is shown to be an asymptotically valid frequentist procedure as well. It is computationally efficient, and we describe several algorithms to implement it. We also construct confidence sets for the partially identified parameter by using the posterior distribution of the support function and show that they have correct frequentist coverage asymptotically. In addition, we establish a local linear approximation of the support function which facilitates set inference and numerical implementation of our method, and allows us to establish the Bernstein-von Mises theorem of the posterior distribution of the support function.

     
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    Weitere Identifier:
    hdl: 10419/162929
    Schriftenreihe: Departmental working papers / Rutgers University, Department of Economics ; 201607
    Umfang: 1 Online-Ressource (circa 42 Seiten)