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Displaying results 1 to 9 of 9.

  1. Input and output additionality of R&D subsidies
    Author: Czarnitzki, Dirk; Hussinger, Katrin
    Published: July, 2017
    Publisher:  Center for Research in Economics and Management, University of Luxembourg, Faculty of Law, Economics and Finance, Luxembourg

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    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Online
    Series: Array ; 2017, 12
    Subjects: R&D; Subsidies; Patents; Treatment Effects
    Scope: 1 Online-Ressource (circa 43 Seiten), Illustrationen
  2. External validity in fuzzy regression discontinuity designs
    Author: Bertanha, Marinho; Imbens, Guido
    Published: [2016]
    Publisher:  CORE, [Louvain-la-Neuve]

    Location:
    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
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    VS 203 (2016,25)
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    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Online
    Other identifier:
    hdl: 2078.1/175064
    Edition: This Draft: February 2016
    Series: CORE discussion papers ; 2016, 25
    Subjects: Fuzzy Regression Discontinuity Designs; Treatment Effects; Potential Outcomes; Exogeneity; External Validity
    Scope: 1 Online-Ressource (circa 38 Seiten), Illustrationen
  3. Machine learning for treatment effect heterogeneity
    recovering partial effects
    Author: Guttman, Elad; Leventer, Dor; Saporta-Eksten, Itay; Schlosser, Analia
    Published: [2023]
    Publisher:  The Foerder Institute for Economic Research, Tel Aviv University, The Eitan Berglas School of Economics, Tel Aviv, Israel

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    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Online
    Series: Discussion paper / Foerder Institute for Economic Research and the Sackler Institute for Economic Studies ; no. 2023, 5
    Subjects: Machine Learning; Treatment Effects; Heterogeneous Treatment Effects; CATE; Partial Dependence Plots; Accumulated Local Effects
    Scope: 1 Online-Ressource (circa 39 Seiten), Illustrationen
  4. Machine learning for treatment effect heterogeneity
    recovering partial effects
    Author: Guttman, Elad; Leventer, Dor; Saporta-Eksten, Itay; Schlosser, Analia
    Published: [2023]
    Publisher:  The Pinhas Sapir Center for Development, Tel Aviv University, Tel Aviv, Israel

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    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Online
    Series: Discussion paper / The Pinhas Sapir Center for Development ; no. 2023, 4
    Subjects: Machine Learning; Treatment Effects; Heterogeneous Treatment Effects; CATE; Partial Dependence Plots; Accumulated Local Effects
    Scope: 1 Online-Ressource (circa 39 Seiten), Illustrationen
  5. Identifying the effect of persuasion
    Author: Jun, Sung Jae; Lee, Sokbae
    Published: [2022]
    Publisher:  Cemmap, Centre for Microdata Methods and Practice, The Institute for Fiscal Studies, Department of Economics, UCL, [London]

    This paper examines a commonly used measure of persuasion whose precise interpretation has been obscure in the literature. By using the potential outcome framework, we define the causal persuasion rate by a proper conditional probability of taking... more

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    DS 243
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    This paper examines a commonly used measure of persuasion whose precise interpretation has been obscure in the literature. By using the potential outcome framework, we define the causal persuasion rate by a proper conditional probability of taking the action of interest with a persuasive message conditional on not taking the action without the message. We then formally study identification under empirically relevant data scenarios and show that the commonly adopted measure generally does not estimate, but often overstates, the causal rate of persuasion. We discuss several new parameters of interest and provide practical methods for causal inference.

     
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    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Online
    Other identifier:
    hdl: 10419/272836
    Series: Cemmap working paper ; CWP22, 24
    Subjects: Communication; Media; Persuasion; Partial Identification; Treatment Effects
    Scope: 1 Online-Ressource (circa 66 Seiten), Illustrationen
  6. The targeted assignment of incentive schemes
    Author: Opitz, Saskia; Sliwka, Dirk; Vogelsang, Timo; Zimmermann, Tom
    Published: August 2022
    Publisher:  ECONtribute, Bonn

    A central question in designing optimal policies concerns the assignment of individuals with different observable characteristics to different treatments. We study this question in the context of increasing workers' performance by using targeted... more

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    A central question in designing optimal policies concerns the assignment of individuals with different observable characteristics to different treatments. We study this question in the context of increasing workers' performance by using targeted incentives based on measurable worker characteristics. To do so, we ran two large-scale experiments. The key results are that (i) performance can be predicted by accurately measured personality traits, (ii) a machine learning algorithm can detect such heterogeneity in worker responses to different schemes, and (iii) a targeted assignment of schemes to individual workers increases performance in a second experiment significantly above the level achieved by the single best scheme.

     
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    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Online
    Other identifier:
    hdl: 10419/262349
    Edition: This version: April 8, 2022
    Series: ECONtribute discussion paper ; no. 187
    Subjects: Randomized Controlled Trial; Incentives; Heterogeneity; Treatment Effects; Selection; Algorithm
    Scope: 1 Online-Ressource (circa 47 Seiten), Illustrationen
  7. Vocational training for female job returners
    effects on employment, earnings and job quality
    Author: Doerr, Annabelle
    Published: January 2022
    Publisher:  University of Basel, Faculty of Business and Economics, Basel, Switzerland

    This paper studies how training vouchers increase the employment prospects of women with interrupted employment histories. Using the population of female job returners who receive a training voucher to participate in training programs and a randomly... more

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    This paper studies how training vouchers increase the employment prospects of women with interrupted employment histories. Using the population of female job returners who receive a training voucher to participate in training programs and a randomly selected control group from German administrative data, I analyze the effectiveness of training on various labor market outcomes. The results suggest that receiving a training voucher translates into substantial gains in employment and earnings and increases job quality and stability. Analyzing the heterogeneity effects reveals that the effectiveness of training increases with the provided human capital. Several robustness checks support a causal interpretation of the results.

     
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    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Online
    Other identifier:
    hdl: 10419/261067
    Series: WWZ working paper ; 2022, 02
    Subjects: Job Return; Active Labor Market Policies; Treatment Effects; Program Evaluation; Training Voucher; Return to work
    Scope: 1 Online-Ressource (circa 45 Seiten), Illustrationen
  8. German financial state aid during COVID-19 pandemic
    higher impact among digitalized self-employed
    Author: Bertschek, Irene; Block, Jörn; Kritikos, Alexander; Stiel, Caroline
    Published: [2022]
    Publisher:  ZEW - Leibniz Centre for European Economic Research, Mannheim, Germany

    In response to strong revenue and income losses that a large share of the self-employed faced during the COVID-19 pandemic, the German federal government introduced a €50bn emergency aid program. Based on real-time online-survey data comprising more... more

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    Universitätsbibliothek Mannheim
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    In response to strong revenue and income losses that a large share of the self-employed faced during the COVID-19 pandemic, the German federal government introduced a €50bn emergency aid program. Based on real-time online-survey data comprising more than 20,000 observations, we analyze the impact of this program on the subjective survival probability. In particular, we investigate how the digitalization level of the self-employed influences the program's effectiveness. Employing propensity score matching, we find that the emergency aid program had only moderately positive effects on the confidence of the self-employed to survive the crisis. However, the self-employed whose businesses were highly digitalized, benefitted much more from the state aid compared to those whose businesses were less digitalized. This holds true only for those self-employed in advanced digitalization stages, who started the digitalization processes already before the crisis. Moreover, taking a regional perspective, we find suggestive evidence that the quality of the regional broadband infrastructure matters in the sense that it increases the effectiveness of the emergency aid program. Our findings show the interplay between governmental support programs, the digitalization levels of entrepreneurs, and the regional digital infrastructure. The study helps public policy to increase the impact of crisis-related policy instruments.

     
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    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Online
    Other identifier:
    hdl: 10419/265418
    Series: Discussion paper / ZEW ; no. 22, 045 (10/2022)
    Subjects: Self-Employment; Emergency Aid; Treatment Effects; COVID-19; Entrepreneurship; Digitalization; Resilience
    Scope: 1 Online-Ressource (29 Seiten), Illustrationen
  9. German financial state aid during COVID-19 pandemic
    higher impact among digitalized self-employed
    Author: Bertschek, Irene; Block, Jörn; Kritikos, Alexander; Stiel, Caroline
    Published: September 2022
    Publisher:  DIW Berlin, German Institute for Economic Research, Berlin

    In response to strong revenue and income losses that a large share of the self-employed faced during the COVID-19 pandemic, the German federal government introduced a €50bn emergency aid program. Based on real-time online-survey data comprising more... more

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    Online-Ressource
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    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
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    DS 14
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    In response to strong revenue and income losses that a large share of the self-employed faced during the COVID-19 pandemic, the German federal government introduced a €50bn emergency aid program. Based on real-time online-survey data comprising more than 20,000 observations, we analyze the impact of this program on the subjective survival probability. In particular, we investigate how the digitalization level of the self-employed influences the program's effectiveness. Employing propensity score matching, we find that the emergency aid program had only moderately positive effects on the confidence of the self-employed to survive the crisis. However, the self-employed whose businesses were highly digitalized, benefitted much more from the state aid compared to those whose businesses were less digitalized. This holds true only for those self-employed in advanced digitalization stages, who started the digitalization processes already before the crisis. Moreover, taking a regional perspective, we find suggestive evidence that the quality of the regional broadband infrastructure matters in the sense that it increases the effectiveness of the emergency aid program. Our findings show the interplay between governmental support programs, the digitalization levels of entrepreneurs, and the regional digital infrastructure. The study helps public policy to increase the impact of crisis-related policy instruments.

     
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    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Online
    Other identifier:
    hdl: 10419/265520
    Series: Discussion papers / Deutsches Institut für Wirtschaftsforschung ; 2018
    Subjects: Self-Employment; Emergency Aid; Treatment Effects; COVID-19; Entrepreneurship; Digitalization; Resilience
    Scope: 1 Online-Ressource (29 Seiten), Diagramme