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Displaying results 1 to 25 of 44.

  1. Der Status-Effekt
    Bestseller und Exploration im Literaturmarkt
    Author: Reichert, Isabella
    Published: [2017]
    Publisher:  Springer VS, Wiesbaden

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    Universitätsbibliothek Augsburg
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    Source: Union catalogues
    Language: German
    Media type: Dissertation
    ISBN: 3658156910; 9783658156916
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    9783658156916
    RVK Categories: GO 10240 ; MS 7980
    DDC Categories: 320
    Series: Research
    Subjects: Buchmarkt; Erfolg; Literatur; Neuheit
    Other subjects: Bewertung und Vergleich von Kulturgütern; Matthäus Effekt; Organisationaler Status als Qualitätssignal; Regressionsanalyse; Winner-take-all Markt
    Scope: 217 Seiten, Diagramme
    Notes:

    Dissertation, Universität Köln, 2015
  2. Settling the inflation targeting debate
    lights from a meta-regression analysis
    Author: Balima, Wenéyam Hippolyte; Kilama, Eric G.; Tapsoba, René
    Published: September 2017
    Publisher:  International Monetary Fund, [Washington, D.C.]

    Inflation targeting (IT) has gained much traction over the past two decades, becoming a framework of reference for the conduct of monetary policy. However, the debate about its very merits and macroeconomic consequences remains inconclusive. This... more

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    Inflation targeting (IT) has gained much traction over the past two decades, becoming a framework of reference for the conduct of monetary policy. However, the debate about its very merits and macroeconomic consequences remains inconclusive. This paper digs deeper into the issue through a meta-regression analysis (MRA) of the existing literature, making it the first application of a MRA to the macroeconomic effects of IT adoption. Building on 8,059 estimated coefficients from a very broad sample of 113 studies, the paper finds that the empirical literature suffers from two types of publication bias. First, authors, editors and reviewers prefer results featuring beneficial effects of IT adoption on inflation volatility, real GDP growth and fiscal performances; second, they promote results with estimated coefficients that are significantly different from zero. However, after filtering out the publication biases, we still find meaningful (genuine) effects of IT in reducing inflation and real GDP growth volatility, but no significant genuine effects on inflation volatility and the level of real GDP growth. Interestingly, the results indicate that the impact of IT varies systematically across studies, depending on the sample structure and composition, the time coverage, the estimation techniques, country-specific factors, IT implementation parameters, and publication characteristics

     
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  3. Der Status-Effekt
    Bestseller und Exploration im Literaturmarkt
    Author: Reichert, Isabella
    Published: [2017]
    Publisher:  Springer VS, Wiesbaden

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    Universitäts- und Stadtbibliothek Köln, Hauptabteilung
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  4. <<Der>> Status-Effekt
    Bestseller und Exploration im Literaturmarkt
    Author: Reichert, Isabella
    Published: [2017]
    Publisher:  Springer VS, Wiesbaden

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    Universitäts- und Stadtbibliothek Köln, Hauptabteilung
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    Source: Union catalogues
    Language: German
    Media type: Dissertation
    Format: Print
    ISBN: 9783658156916; 3658156910
    Other identifier:
    9783658156916
    DDC Categories: 320
    Subjects: Deutschland; Buchmarkt; Literatur; Neuheit; Erfolg; Geschichte1995-2010
    Other subjects: Bewertung und Vergleich von Kulturgütern; Matthäus Effekt; Organisationaler Status als Qualitätssignal; Regressionsanalyse; Winner-take-all Markt
    Scope: 217 Seiten, Illustrationen, 21 cm, 290 g
    Notes:

    Dissertation, Universität zu Köln, 2015
  5. Does financial education impact financial literacy and financial behavior, and if so, when?
    Author: Kaiser, Tim; Menkhoff, Lukas
    Published: August 2017
    Publisher:  World Bank Group, Development Economics Vice Presidency, Strategy and Operations Team, Washington, D.C.

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    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
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    VS 2 (8161)
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    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Online
    Other identifier:
    Series: Policy research working paper ; 8161
    Subjects: Finanzwissen; Finanzwissen; Verhaltensökonomik; Meta-Analyse; Regressionsanalyse; Wirkungsanalyse
    Scope: 1 Online-Ressource (circa 77 Seiten), Illustrationen
  6. I can't sleep!
    relative concerns and sleep behaviour
    Author: Akay, Alpaslan; Martinsson, Peter; Ralsmark, Hilda
    Published: October 2017
    Publisher:  Department of Economics, Göteborg University, Göteborg

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    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Online
    Other identifier:
    hdl: 2077/53950
    Series: Working papers in economics ; no. 709
    Subjects: Einkommenshypothese; Regressionsanalyse; Wohlfahrtsökonomik; Deutschland
    Scope: 1 Online-Ressource (circa 46 Seiten), Illustrationen
  7. Settling the inflation targeting debate
    lights from a meta-regression analysis
    Author: Balima, Wenéyam Hippolyte; Kilama, Eric G.; Tapsoba, René
    Published: September 2017
    Publisher:  International Monetary Fund, [Washington, D.C.]

    Inflation targeting (IT) has gained much traction over the past two decades, becoming a framework of reference for the conduct of monetary policy. However, the debate about its very merits and macroeconomic consequences remains inconclusive. This... more

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    Inflation targeting (IT) has gained much traction over the past two decades, becoming a framework of reference for the conduct of monetary policy. However, the debate about its very merits and macroeconomic consequences remains inconclusive. This paper digs deeper into the issue through a meta-regression analysis (MRA) of the existing literature, making it the first application of a MRA to the macroeconomic effects of IT adoption. Building on 8,059 estimated coefficients from a very broad sample of 113 studies, the paper finds that the empirical literature suffers from two types of publication bias. First, authors, editors and reviewers prefer results featuring beneficial effects of IT adoption on inflation volatility, real GDP growth and fiscal performances; second, they promote results with estimated coefficients that are significantly different from zero. However, after filtering out the publication biases, we still find meaningful (genuine) effects of IT in reducing inflation and real GDP growth volatility, but no significant genuine effects on inflation volatility and the level of real GDP growth. Interestingly, the results indicate that the impact of IT varies systematically across studies, depending on the sample structure and composition, the time coverage, the estimation techniques, country-specific factors, IT implementation parameters, and publication characteristics

     
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    Source: Staatsbibliothek zu Berlin
    Language: English
    Media type: Ebook
    Format: Online
    ISBN: 9781484320754
    Other identifier:
    Series: IMF working paper ; WP/17, 213
    Subjects: Inflationssteuerung; Meta-Analyse; Regressionsanalyse
    Scope: 1 Online-Ressource (circa 43 Seiten), Illustrationen
  8. The impact of trade liberalization in Africa
    Author: Jung, Jae Wook
    Published: November 19, 2017
    Publisher:  KIEP, Korea Institute for International Economic Policy, Sejong-si

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    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
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    W 606 (2017,5)
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    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Print
    ISBN: 9788932242712; 9788932240268
    Series: KIEP working paper ; 17, 05
    Subjects: Handelsliberalisierung; Intraregionaler Handel; Regionale Wirtschaftsintegration; Politische Instabilität; Finanzmarkt; Regressionsanalyse; Afrika
    Scope: 44 Seiten, Illustrationen
    Notes:

    Erscheint auch als Online-Ausgabe
  9. Regression on intervals
    Author: Mateescu, George Daniel
    Published: 2017
    Publisher:  Institute for Economic Forecasting, [Bukarest]

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    Language: English
    Media type: Book
    Format: Online
    Series: Working papers of Institute for Economic Forecasting ; 170901
    Subjects: Regressionsanalyse
    Scope: 1 Online-Ressource (circa 5 Seiten), Illustrationen
  10. Distributional regression for skew, mixed discrete-continuous and multinomial responses
    Author: Michaelis, Patrick
    Published: 2017

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    Staats- und Universitätsbibliothek Bremen
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    03.a.0016
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    Source: Union catalogues
    Language: English
    Media type: Dissertation
    Format: Print
    Subjects: Regressionsanalyse; Statistische Verteilung; Ökonometrisches Modell; Theorie; Schätzung; Unterernährung; Kinder; Nigeria; Einkommensverteilung; Wahlverhalten; Deutschland
    Scope: 154 Seiten, Diagramme, Illustrationen
    Notes:

    Enthält mehrere Beiträge

    Dissertation, Georg-August-Universität Göttingen, 2017
  11. The elasticity of taxable income
    a meta-regression analysis
    Author: Neisser, Carina
    Published: [2017]
    Publisher:  Institut d’Economia de Barcelona, Barcelona

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    Language: English
    Media type: Book
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    Series: Array ; 2017, 10
    Subjects: Einkommensteuer; Einkommensverteilung; Elastizität; Meta-Analyse; Regressionsanalyse
    Scope: 1 Online-Ressource (circa 73 Seiten), Illustrationen
  12. Semiparametric regression with fewer distributional assumptions
    expectile regression and generalized additive models with flexible response functions
    Author: Spiegel, Elmar Christian
    Published: [2017]

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    Staats- und Universitätsbibliothek Bremen
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    Source: Union catalogues
    Language: English
    Media type: Dissertation
    Format: Print
    RVK Categories: QH 233 ; QH 330
    Subjects: Regressionsanalyse; Nichtparametrische Schätzung; Item-Response-Theorie; Flexibilität; Theorie; Schätzung
    Scope: 182 Seiten, Diagramme, Illustrationen
    Notes:

    Kumulative Arbeit, enthält 3 Beiträge

    Dissertation, Georg-August-Universität Göttingen, 2017
  13. Zum Effekt von Wissensmedien in Lernszenarien - Auf dem Weg zum Task-Media Fit Model
    Author: Langbauer, Michael; Keller, Alexander; Lehner, Franz
    Published: [2017]
    Publisher:  Universität Passau, Wirtschaftswissenschaftliche Fakultät, Passau

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    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
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    HW 17 (43)
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    Source: Union catalogues
    Language: German
    Media type: Book
    Format: Print
    Series: Array ; W-43-17
    Passauer Diskussionspapiere
    Subjects: Interaktive Medien; Lehrmaterial; Lernmethode; Nutzen; Messung; Regressionsanalyse
    Scope: circa 46 Blätter, Illustrationen, Diagramme
  14. Extremal quantile regression
    an overview
    Author: Chernozhukov, Victor; Fernández-Val, Iván; Kaji, Tetsuya
    Published: 30 December 2017
    Publisher:  Cemmap, Centre for Microdata Methods and Practice, The Institute for Fiscal Studies, Department of Economics, UCL, London

    Extremal quantile regression, i.e. quantile regression applied to the tails of the conditional distribution, counts with an increasing number of economic and financial applications such as value-at-risk, production frontiers, determinants of low... more

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    Extremal quantile regression, i.e. quantile regression applied to the tails of the conditional distribution, counts with an increasing number of economic and financial applications such as value-at-risk, production frontiers, determinants of low infant birth weights, and auction models. This chapter provides an overview of recent developments in the theory and empirics of extremal quantile regression. The advances in the theory have relied on the use of extreme value approximations to the law of the Koenker and Bassett (1978) quantile regression estimator. Extreme value laws not only have been shown to provide more accurate approximations than Gaussian laws at the tails, but also have served as the basis to develop bias corrected estimators and inference methods using simulation and suitable variations of bootstrap and subsampling. The applicability of these methods is illustrated with two empirical examples on conditional value-at-risk and financial contagion.

     
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    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Online
    Other identifier:
    hdl: 10419/189814
    Series: Cemmap working paper ; CWP 17, 65
    Subjects: Regressionsanalyse; Theorie; Risikomaß; Ansteckungseffekt
    Scope: 1 Online-Ressource (circa 33 Seiten), Illustrationen
  15. Powerful t-Tests in the presence of nonclassical measurement error
    Author: Kim, Dongwoo; Wilhelm, Daniel
    Published: 11 December 2017
    Publisher:  Cemmap, Centre for Microdata Methods and Practice, The Institute for Fiscal Studies, Department of Economics, UCL, London

    This paper proposes a powerful alternative to the t-test in linear regressions when a regressor is mismeasured. We assume there is a second contaminated measurement of the regressor of interest. We allow the two measurement errors to be nonclassical... more

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    This paper proposes a powerful alternative to the t-test in linear regressions when a regressor is mismeasured. We assume there is a second contaminated measurement of the regressor of interest. We allow the two measurement errors to be nonclassical in the sense that they may both be correlated with the true regressor, they may be correlated with each other, and we do not require any location normalizations on the measurement errors. We propose a new maximal t-statistic that is formed from the regression of the outcome onto a maximally weighted linear combination of the two measurements. Critical values of the test are easily computed via a multiplier bootstrap. In simulations, we show that this new test can be significantly more powerful than t-statistics based on OLS or IV estimates. Finally, we apply our test to the study of returns to education based on twins data from the U.S..

     
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    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Online
    Other identifier:
    hdl: 10419/189798
    Series: Cemmap working paper ; CWP 17, 57
    Subjects: Statistischer Test; Statistischer Fehler; Regressionsanalyse; Simulation; Bildungsertrag; Großbritannien
    Scope: 1 Online-Ressource (circa 36 Seiten), Illustrationen
  16. Prédiction de l'usage des sols sur un zonage régulier à différentes résolutions et à partir de covariables facilement accessibles
    Author: Chakir, Raja; Laurent, Thibault; Ruiz-Gazen, Anne; Thomas-Agnan, Christine; Vignes, Céline
    Published: [2017]
    Publisher:  Toulouse School of Economics, [Toulouse]

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    Source: Union catalogues
    Language: French
    Media type: Book
    Format: Online
    Series: Working papers / Toulouse School of Economics ; no 17-769 (Février 2017)
    Subjects: Landnutzung; Regressionsanalyse
    Scope: 1 Online-Ressource (circa 31 Seiten), Illustrationen
  17. Der Status-Effekt
    Bestseller und Exploration im Literaturmarkt
    Author: Reichert, Isabella
    Published: 2017
    Publisher:  Springer Fachmedien Wiesbaden, Wiesbaden

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  18. The elasticity of taxable income : a meta-regression analysis
    Author: Neisser, Carina
    Published: 2017
    Publisher:  Universitätsbibliothek Mannheim, Mannheim

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    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Online
    Other identifier:
    Series: ZEW Discussion Papers ; 17-032
    Subjects: Einkommensteuer; Einkommensverteilung; Elastizität <Wirtschaft>; Metaanalyse; Regressionsanalyse
    Other subjects: (stw)Einkommensteuer; (stw)Einkommensverteilung; (stw)Elastizität; (stw)Meta-Analyse; (stw)Regressionsanalyse; Graue Literatur
    Scope: Online-Ressource
  19. Der Status-Effekt
    Bestseller und Exploration im Literaturmarkt
    Author: Reichert, Isabella
    Published: [2017]
    Publisher:  Springer VS, Wiesbaden

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  20. The elasticity of taxable income: a meta-regression Analysis
    Author: Neisser, Carina
    Published: [2017]
    Publisher:  Centre for European Economic Research, Mannheim, Germany

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    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Print
    Series: Discussion paper ; 17, no. 032. International distribution and redistribution
    Subjects: Einkommensteuer; Einkommensverteilung; Elastizität <Wirtschaft>; Metaanalyse; Regressionsanalyse
    Other subjects: (stw)Einkommensteuer; (stw)Einkommensverteilung; (stw)Elastizität; (stw)Meta-Analyse; (stw)Regressionsanalyse; Graue Literatur
    Scope: 64 Seiten, Illustrationen, 21 cm
  21. Macroprudential policy spillovers
    a quantitative analysis
    Author: Kang, Heedon; Vitek, Francis; Bhattacharya, Rina; Jeasakul, Phakawa; Muñoz, Sònia; Wang, Naixi; Zandvakil, Rasool
    Published: July 2017
    Publisher:  International Monetary Fund, [Washington, D.C.]

    This paper analyzes cross-border macrofinancial spillovers from a variety of macroprudential policy measures, using a range of quantitative methods. Event study and panel regression analyses find that liquidity and sectoral macroprudential policy... more

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    This paper analyzes cross-border macrofinancial spillovers from a variety of macroprudential policy measures, using a range of quantitative methods. Event study and panel regression analyses find that liquidity and sectoral macroprudential policy measures often affect cross-border bank credit, whereas capital measures do not. This empirical evidence is stronger for tightening than for loosening measures, is distributed across credit leakage and reallocation effects, and is generally regionally concentrated. Consistently, structural model based simulation analysis indicates that output and bank credit spillovers from sectoral macroprudential policy shocks are generally small worldwide, but are regionally concentrated and economically significant for countries connected by strong trade or financial linkages. This simulation analysis also indicates that countercyclical capital buffer adjustments have the potential to generate sizeable regional spillovers

     
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  22. Lasso regressions and forecasting models in applied stress testing
    Author: Chan-Lau, Jorge A.
    Published: May 2017
    Publisher:  International Monetary Fund, [Washington, D.C.]

    Model selection and forecasting in stress tests can be facilitated using machine learning techniques. These techniques have proved robust in other fields for dealing with the curse of dimensionality, a situation often encountered in applied stress... more

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    Model selection and forecasting in stress tests can be facilitated using machine learning techniques. These techniques have proved robust in other fields for dealing with the curse of dimensionality, a situation often encountered in applied stress testing. Lasso regressions, in particular, are well suited for building forecasting models when the number of potential covariates is large, and the number of observations is small or roughly equal to the number of covariates. This paper presents a conceptual overview of lasso regressions, explains how they fit in applied stress tests, describes its advantages over other model selection methods, and illustrates their application by constructing forecasting models of sectoral probabilities of default in an advanced emerging market economy

     
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  23. Fiscal rules to tame the political budget cycle
    evidence from Italian municipalities
    Author: Bonfatti, Andrea; Forni, Lorenzo
    Published: January 2017
    Publisher:  International Monetary Fund, [Washington, D.C.]

    The paper provides evidence that fiscal rules can limit the political budget cycle. It focuses on the application of the Italian fiscal rule at the sub-national level over the period 2004-2006 and shows that: 1) municipalities are subject to... more

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    The paper provides evidence that fiscal rules can limit the political budget cycle. It focuses on the application of the Italian fiscal rule at the sub-national level over the period 2004-2006 and shows that: 1) municipalities are subject to political budget cycles in capital spending; 2) the Italian subnational fiscal rule introduced in 1999 has been enforced by the central government; 3) municipalities subject to the fiscal rule show more limited political budget cycles than municipalities not subject to the rule. In order to identify the effect, we rely on the fact that the domestic fiscal rule does not apply to municipalities below 5,000 inhabitants. We find that the political budget cycle increases real capital spending by about 35 percent on average in the years prior to municipal elections and that the sub-national fiscal rule reduces these figures by about two thirds

     
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  24. International inequality in subjective well-being
    an exploration with the Gallup World Poll
    Author: Gluzmann, Pablo; Gasparini, Leonardo
    Published: 2017
    Publisher:  CEDLAS, Centro de Estudios Distributivos, Laborales y Sociales, [La Plata, Argentina]

    In this paper we compute inequality measures over the distribution of a subjective well-being variable constructed from a life satisfaction question included in the Gallup World Poll in almost all countries in the world. We argue that inequality in... more

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    In this paper we compute inequality measures over the distribution of a subjective well-being variable constructed from a life satisfaction question included in the Gallup World Poll in almost all countries in the world. We argue that inequality in subjective well-being may be a better proxy for the degree of unfairness in a society than income inequality. We find evidence that inequality in subjective well-being has an inverse-U relationship with per capita GDP, but it is monotonically decreasing with respect to mean subjective well-being. We argue that this difference might be associated to inequality aversion in the space of utility.

     
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    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Online
    Other identifier:
    hdl: 10419/177441
    Series: Array ; nro. 216 (septiembre, 2017)
    Subjects: Einkommensverteilung; Zufriedenheit; Gini-Koeffizient; Regressionsanalyse; Kuznets-Kurve; Welt
    Scope: 1 Online-Ressource (circa 33 Seiten), Illustrationen
  25. Lasso regressions and forecasting models in applied stress testing
    Author: Chan-Lau, Jorge A.
    Published: May 2017
    Publisher:  International Monetary Fund, [Washington, D.C.]

    Model selection and forecasting in stress tests can be facilitated using machine learning techniques. These techniques have proved robust in other fields for dealing with the curse of dimensionality, a situation often encountered in applied stress... more

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    Model selection and forecasting in stress tests can be facilitated using machine learning techniques. These techniques have proved robust in other fields for dealing with the curse of dimensionality, a situation often encountered in applied stress testing. Lasso regressions, in particular, are well suited for building forecasting models when the number of potential covariates is large, and the number of observations is small or roughly equal to the number of covariates. This paper presents a conceptual overview of lasso regressions, explains how they fit in applied stress tests, describes its advantages over other model selection methods, and illustrates their application by constructing forecasting models of sectoral probabilities of default in an advanced emerging market economy

     
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