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  1. The Relevance of Language as a Predictor of the Will for Independence in Catalonia in 1996 and 2020
    Erschienen: 2021
    Verlag:  SSOAR, GESIS – Leibniz-Institut für Sozialwissenschaften e.V., Mannheim

    Abstract: The Catalan secessionist parties, if added together, have won all the elections to the Parliament of Catalonia from 2010 to 2021. Their voters have been increasingly mobilized since the start of the controversial reform process of the... mehr

     

    Abstract: The Catalan secessionist parties, if added together, have won all the elections to the Parliament of Catalonia from 2010 to 2021. Their voters have been increasingly mobilized since the start of the controversial reform process of the Statute of Autonomy (2004-2010). The aim of this article is twofold. First, it intends to test whether language is the strongest predictor in preferring independence in two separate and distinct moments, 1996 and 2020. And second, to assess whether its strength has changed - and how - between both years. Only the most exogenous variables to the dependent variable are used in each of two logistic regressions to avoid problems of endogeneity: sex, age, size of town of residence, place of birth of the individual and of their parents, first language (L1), and educational level. Among them, L1 was - and still is - the most powerful predictor, although it is not entirely determinative. The secessionist movement not only gathers a plurality of Catalan native

     

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    DDC Klassifikation: Politikwissenschaft (320)
    Weitere Schlagworte: Catalonia; effective number of language groups; independence; language; logistic regression; secessionism; subjective national identity
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    In: Politics and Governance ; 9 (2021) 4 ; 426-438

  2. Development status as a measure of development
    Erschienen: 2020
    Verlag:  United Nations, Geneva

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    UNCTAD/SER.RP/2020/5
    Schriftenreihe: UNCTAD research paper ; No. 46
    Schlagworte: Economic development; classification; logistic regression; cluster analysis
    Umfang: 1 Online-Ressource (44 Seiten)
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    Gesehen am 03.08.2020

  3. A general approach for cure models in survival analysis
    Erschienen: [2019]
    Verlag:  KU Leuven, Faculteit Economie en Bedrijfswetenschappen, Leuven, België

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    Schriftenreihe: KBI ; KBI_19, 03
    Schlagworte: Asymptotic normality; bootstrap; kernel smoothing; logistic regression; mixture cure model; semiparametric model
    Umfang: 1 Online-Ressource (circa 35 Seiten), Illustrationen
  4. A decision-making rule to detect insufficient data quality
    an application of statistical learning techniques to the non-performing loans banking data?
    Erschienen: [2022]
    Verlag:  Banca d'Italia, [Rom]

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    Schriftenreihe: Questioni di economia e finanza / Banca d'Italia ; number 666 (February 2022)
    Schlagworte: potential outliers; non-performing loans; data quality; supervisedmachine learning; logistic regression
    Umfang: 1 Online-Ressource (circa 29 Seiten), Illustrationen
  5. Learning tabu search algorithms
    a scheduling application
    Erschienen: April 2022
    Verlag:  Bureau de Montreal, Université de Montreal, Montréal (Québec)

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    Schriftenreihe: CIRRELT ; CIRRELT-2022, 09
    Schlagworte: Learning tabu search; learning metaheuristics; combinatorial problems; logistic regression; decision trees
    Umfang: 1 Online-Ressource (circa 28 Seiten), Illustrationen
  6. Calibration alternatives to logistic regression and their potential for transferring the dispersion of discriminatory power into uncertainties of probabilities of default
    Erschienen: [2022]
    Verlag:  Deutsche Bundesbank, Frankfurt am Main

    The transformation of credit scores into probabilities of default plays an important role in credit risk estimation. The linear logistic regression has developed into a standard calibration approach in the banking sector. With the advent of machine... mehr

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    The transformation of credit scores into probabilities of default plays an important role in credit risk estimation. The linear logistic regression has developed into a standard calibration approach in the banking sector. With the advent of machine learning techniques in the discriminatory phase of credit risk models, however, the standard calibration approach is currently under scrutiny again. In particular, the assumptions behind the linear logistic regression provide critics with a target. Previous literature has converted the calibration problem into a regression task without any loss of generality. In this paper, we draw on recent academic results in order to suggest two new one-parametric families of differentiable functions as candidates for this regression. The derivation of these two families of differentiable functions is based on the maximum entropy principle and, thus, they rely on a minimum number of assumptions. We compare the performance of four calibration approaches on a real-world data set and find that one of the new one-parametric families outperforms the linear logistic regression. Furthermore, we develop an approach in order to quantify the part of the general estimation error of probabilities of default that stems from the statistical dispersion of the discriminatory power.

     

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    Sprache: Englisch
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    ISBN: 9783957298706
    Weitere Identifier:
    hdl: 10419/251197
    Schriftenreihe: Discussion paper / Deutsche Bundesbank ; no 2022, 04
    Schlagworte: Calibration; credit score; cumulative accuracy profile; logistic regression; margin of conservatism; probability of default
    Umfang: 1 Online-Ressource (circa 42 Seiten), Illustrationen
  7. Can women empowerment help to reduce open defecation in India
    evidence from NFHS 4
    Erschienen: December 2019
    Verlag:  Madras School of Economics, Chennai, India

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    Schriftenreihe: Working paper / Madras School of Economics ; 186 (2019)
    Schlagworte: Sanitation; women empowerment; education; logistic regression; quantile regression
    Umfang: 1 Online-Ressource (circa 52 Seiten), Illustrationen
  8. Concept of peer-to-peer lending and application of machine learning in credit scoring
    Erschienen: 2021
    Verlag:  University of Warsaw, Faculty of Economic Sciences, Warsaw

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    Schriftenreihe: Working papers / Faculty of Economic Sciences, University of Warsaw ; no. 2021, 4 = 352
    Schlagworte: artificial intelligence; peer-to-peer lending; credit risk assessment; credit scorecards; logistic regression; machine learning
    Umfang: 1 Online-Ressource (circa 53 Seiten), Illustrationen
  9. An examination of the informational value of self-reported innovation questions
    Erschienen: [2022]
    Verlag:  U.S. Census Bureau, Center for Economic Studies, Washington, DC

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    Schriftenreihe: Working papers / Center for Economic Studies, U.S. Census Bureau ; 22, 46 (October 2022)
    Schlagworte: Self-reported innovation; substantive and incremental innovation; latent innovati onmeasure; logistic regression
    Umfang: 1 Online-Ressource (circa 25 Seiten)
  10. Chance (odd) versus Wahrscheinlichkeit (probability)
    Erschienen: 2017
    Verlag:  Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, Dresden ; Technische Universität Dresden

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    Sprache: Deutsch
    Medientyp: Elektronische Zeitschrift
    Format: Online
    ISSN: 0945-4802
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    RVK Klassifikation: QH 400 ; QH 400 ; QH 400
    Schriftenreihe: Dresdner Beiträge zu Quantitativen Verfahren ; 63/16
    Schlagworte: Wahrscheinlichkeit; Wahrscheinlichkeitsverteilung; Logit-Modell; Theorie; Epidemiologie; Epidemie
    Weitere Schlagworte: (stw)Statistische Verteilung; (stw)Logit-Modell; (stw)Theorie; Chance; Wahrscheinlichkeit; Chancenverhaltnis; logistische Regression; odd; Odds-Ratio; Odds-Verhältnis; Quotenverhältnis; Chance; probability; opportunity; logistic regression; Odd; odds ratio; Arbeitspapier; Graue Literatur
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  11. The political economy of finance and regulatory capture
    evidence from the US Congress
    Autor*in: Silano, Filippo
    Erschienen: October 2023
    Verlag:  Universität Hamburg, Fakultät für Rechtswissenschaft, [Hamburg]

    The 2007-08 Global Financial Crisis is a watershed phenomenon that reshaped global capitalism. Stemming from the argument that the Crisis was caused by deregulation, this article assesses to what extent the financial industry influenced the... mehr

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    The 2007-08 Global Financial Crisis is a watershed phenomenon that reshaped global capitalism. Stemming from the argument that the Crisis was caused by deregulation, this article assesses to what extent the financial industry influenced the legislative process underlying these reforms. The hypothesis is that, during the deregulation process, the financial industry captured lawmakers' voting behaviour. Drawing on a logistic regression model, this study estimates to what extent 106th -109th Congress roll call votes on financial liberalisation were biased by industry-led campaign contributions and lobbying activities. The main finding shows that members of the US Congress recipient of funding from the financial sector were more prone to support deregulation. Providing systematic empirical evidence of capture, the results support the literature labelling the Crisis as the result of industry-induced deregulation.

     

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    hdl: 10419/278103
    Schriftenreihe: Institute of Law and Economics working paper series ; no. 72 (2023)
    Schlagworte: political economy; financial crisis; deregulation; capture; campaign finance; lobbying; US Congress; voting behaviour; logistic regression
    Umfang: 1 Online-Ressource (circa 32 Seiten), Illustrationen
  12. The impact of the COVID-19 pandemic on marriage and childbirth
    survey-based evidence from Iran
    Erschienen: [2023]
    Verlag:  Philipps-University Marburg, School of Business and Economics, Marburg

    With a representative survey of 1,214 participants conducted in early 2022, this study investigates the impact of the COVID-19 pandemic on marriage and childbirth in Iran. The results of the empirical investigation using logistic regressions suggest... mehr

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    With a representative survey of 1,214 participants conducted in early 2022, this study investigates the impact of the COVID-19 pandemic on marriage and childbirth in Iran. The results of the empirical investigation using logistic regressions suggest that the experience of unemployment due to the pandemic is positively associated with marriage during the pandemic and the experience of losing a close relative or family member is negatively associated with marriage. In addition, concern about the persistence of the pandemic and vaccination status show negative associations with childbirth during the pandemic. We found heterogenous effects depending on gender, location, and social class; for example, the negative effects of the concern about a prolonged pandemic and vaccination status are driven by female respondents. Overall, the results have implications for the development of the fertility rate and population in post- pandemic Iran.

     

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    hdl: 10419/283432
    Schriftenreihe: Joint discussion paper series in economics ; no. 2023, 20
    Schlagworte: COVID-19; pandemic; disaster; Iran; survey; logistic regression; marriage; fertility; family planning; inequality
    Umfang: 1 Online-Ressource (circa 36 Seiten), Illustrationen
  13. Reject inference in application scorecards
    evidence from France
    Autor*in: Nguyen, Ha-Thu
    Erschienen: [2016]
    Verlag:  Université de Paris Ouest Nanterre La Défense, Nanterre

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    Schriftenreihe: Working paper / EconomiX ; 2016, 10
    Schlagworte: Reject inference; sample selection; selection bias; logistic regression; reweighting; parceling; fuzzy augmentation; Heckmans two-stage correction
    Umfang: 1 Online-Ressource (circa 23 Seiten), Illustrationen
  14. Climate change challenges, smallholder commercialization and progress out poverty in Ethiopia
    Autor*in: Boka, Gutu T.
    Erschienen: [2017]
    Verlag:  African Development Bank, Abidjan

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    Schriftenreihe: Working paper series / African Development Bank Group ; no. 253 (March 2017)
    Schlagworte: Climate change; degree of commercialization; market participation; doublehurdle; logistic regression; Ethiopia
    Umfang: 1 Online-Ressource (circa 42 Seiten), Illustrationen
  15. An estimation of the default probabilities of Spanish non-financial corporations and their application to evaluate public policies
    Erschienen: 2023
    Verlag:  Banco de España, Madrid

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    Schriftenreihe: Documentos ocasionales / Banco de España ; no. 2319
    Schlagworte: default; financial distress; non-performing loans; logistic regression
    Umfang: 1 Online-Ressource (circa 33 Seiten), Illustrationen
  16. From alchemy to analytics
    unleashing the potential of technical analysis in predicting noble metal price movement
    Erschienen: 2023
    Verlag:  University of Warsaw, Faculty of Economic Sciences, Warsaw

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    Schriftenreihe: Working papers / University of Warsaw, Faculty of Economic Sciences ; no. 2023, 13 = 420
    Schlagworte: precious metals; algotrading; machine learning; multiclass classification; logistic regression; nearest neighbors; random forest; xgboost
    Umfang: 1 Online-Ressource (circa 49 Seiten), Illustrationen
  17. The evolution of reforms and the state of competition in public procurement in the Philippines
    Erschienen: December 2023
    Verlag:  Philippine Institute for Development Studies, Quezon City, Philippines

    In the literature on Philippine public procurement, knowledge gaps exist in terms of coverage of period of reform implementation and scope of reform application. This study helps close these gaps by analyzing Philippine public procurement history up... mehr

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    In the literature on Philippine public procurement, knowledge gaps exist in terms of coverage of period of reform implementation and scope of reform application. This study helps close these gaps by analyzing Philippine public procurement history up to the years of application of the 2016 implementing rules and regulations of the General Procurement Act (GPRA) and using data for the usual three categories of procurement, namely, civil works, consulting services, and goods procurement. It also suggests a logit model of procurement specifically for the Philippines given the available data in the Philippine Government Electronic Procurement System (PhilGEPS). The study finds that persistent issues include delays in procurement, non-conformance with procedures, poor bid design and evaluation, weak capacity to implement procurement procedures, and corruption. It also describes new challenges that have emerged, such as the use of digital payments and the promotion of innovations. Running the logit model using PhilGEPS data, the study finds a general tendency toward weaker competition despite the 2016 reforms. The study then offers recommendations to improve the PhilGEPS, minimize corruption, improve procurement capacity, and address the emerging challenges. It also recommends future areas of research, namely, procurement policies outside the GPRA, bid rigging, red flags of corruption, and procurement of scientific, scholarly, or artistic work.

     

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    hdl: 10419/284647
    Schriftenreihe: Discussion paper series / Philippine Institute for Development Studies ; no. 2023, 48 (December 2023)
    Schlagworte: procurement; public procurement; logit model; logistic regression; corruption
    Umfang: 1 Online-Ressource (circa 26 Seiten)
  18. Análise da evolução do acesso a serviços de TV por assinatura e de vídeos sob demanda no Brasil
    Erschienen: abril de 2024
    Verlag:  Instituto de Pesquisa Econômica Aplicada, Rio de Janeiro

    This study analyzes the recent transformations in the consumption profile of audiovisual media services, transformations mainly marked by the intensive use of the internet. Such a phenomenon has reconfigured the strategies adopted by providers of... mehr

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    This study analyzes the recent transformations in the consumption profile of audiovisual media services, transformations mainly marked by the intensive use of the internet. Such a phenomenon has reconfigured the strategies adopted by providers of traditional linear audiovisual media services, in response to the entry into the telecommunications market of non-linear segment companies, especially video-on-demand (VoD) service providers. The data used, all sourced from public databases, include the Continuous National Household Sample Survey (Pesquisa Nacional por Amostra de Domicílios Contínua - PNAD Contínua), the Family Budget Survey (Pesquisa de Orçamentos Familiares - POF), and the Information and Communication Technologies (ICT) Households survey (Tecnologias da Informação e Comunicação - TIC Domicílios) conducted by the Brazilian Internet Steering Committee (Comitê Gestor da Internet no Brasil - CGI.br). The objective is to present an overview of linear audiovisual media services, specifically subscription TV and VoD services. Furthermore, we conducted estimates to study the factors influencing consumption decisions and the substitution of subscription TV by VoD services, using the statistical technique called logistic regression.

     

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    Schriftenreihe: Texto para discussão / Ipea ; 2987
    Schlagworte: video-on-demand; subscription TV services; logistic regression; public microdata
    Umfang: 1 Online-Ressource (circa 80 Seiten), Illustrationen