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  1. Retirement and health outcomes in ameta-analytical framework
    Autor*in: Filomena, Mattia; Picchio, Matteo
    Erschienen: 2021
    Verlag:  Global Labor Organization (GLO), Essen

    This paper presents a meta-analysis on the effects of retirement on health. We select academic papers published between 2000 and 2021 studying the impact of retirement on physical and mental health, self-assessed general health, healthcare... mehr

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    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
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    DS 565
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    This paper presents a meta-analysis on the effects of retirement on health. We select academic papers published between 2000 and 2021 studying the impact of retirement on physical and mental health, self-assessed general health, healthcare utilization and mortality. Among 275 observations from 85 articles, 28% (13%) find positive (negative) effects of retirement on health outcomes. Almost 60% of the observations do not provide statistically significant findings. Using meta-regression analysis, we checked for the presence of publication bias after distinguishing among different journal subject areas and, once correcting for it, we find that the average effect of retirement on health outcomes is small and barely significant. We apply model averaging techniques to explore possible sources of heterogeneity and our results suggest that the different estimated effects can be explained by the differences in both health measurements and retirement schemes.

     
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    Sprache: Englisch
    Medientyp: Buch (Monographie)
    Format: Online
    Weitere Identifier:
    hdl: 10419/235905
    Schriftenreihe: GLO discussion paper ; no. 897
    Schlagworte: Retirement; health; meta-analysis; meta-regression; publication bias
    Umfang: 1 Online-Ressource (circa 45 Seiten), Illustrationen
  2. Retirement and health outcomes in a meta-analytical framework
    Autor*in: Filomena, Mattia; Picchio, Matteo
    Erschienen: July 2021
    Verlag:  IZA - Institute of Labor Economics, Bonn, Germany

    This paper presents a meta-analysis on the effects of retirement on health. We select academic papers published between 2000 and 2021 studying the impact of retirement on physical and mental health, self-assessed general health, healthcare... mehr

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    Verlag (kostenfrei)
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    Standort:
    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
    Signatur:
    DS 4
    Fernleihe:
    keine Fernleihe

     

    This paper presents a meta-analysis on the effects of retirement on health. We select academic papers published between 2000 and 2021 studying the impact of retirement on physical and mental health, self-assessed general health, healthcare utilization and mortality. Among 275 observations from 85 articles, 28% (13%) find positive (negative) effects of retirement on health outcomes. Almost 60% of the observations do not provide statistically significant findings. Using meta-regression analysis, we checked for the presence of publication bias after distinguishing among different journal subject areas and, once correcting for it, we find that the average effect of retirement on health outcomes is small and barely significant. We apply model averaging techniques to explore possible sources of heterogeneity and our results suggest that the different estimated effects can be explained by the differences in both health measurements and retirement schemes.

     
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    Sprache: Englisch
    Medientyp: Buch (Monographie)
    Format: Online
    Weitere Identifier:
    hdl: 10419/245653
    Schriftenreihe: Discussion paper series / IZA ; no. 14602
    Schlagworte: retirement; health; meta-analysis; meta-regression; publication bias
    Umfang: 1 Online-Ressource (circa 46 Seiten), Illustrationen
  3. When does monetary policy sway house prices?
    a meta-analysis
    Autor*in: Ehrenbergerova, Dominika; Bajzik, Josef; Havránek, Tomáš
    Erschienen: [2021]
    Verlag:  Institute of Economic Studies, Faculty of Social Sciences, Charles University in Prague, Prague

    Several central banks have leaned against the wind in the housing market by increasing the policy rate preemptively to prevent a bubble. Yet the empirical literature provides mixed results on the impact of short-term interest rates on house prices:... mehr

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    Several central banks have leaned against the wind in the housing market by increasing the policy rate preemptively to prevent a bubble. Yet the empirical literature provides mixed results on the impact of short-term interest rates on house prices: the estimated semi-elasticities range from -12 to positive values. To assign a pattern to these differences, we collect 1,447 estimates from 31 individual studies that cover 45 countries and 69 years. We then relate the estimates to 39 characteristics of the financial system, business cycle, and estimation approach. Our main results are threefold. First, the mean reported estimate is exaggerated by publication bias, because insignificant results are underreported. Second, omission of important variables (liquidity and long-term rates) likewise exaggerates the effects of short-term rates on house prices. Third, the effects are stronger in countries with more developed mortgage markets and generally later in the cycle when the yield curve is flat and house prices enter an upward spiral.

     
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    Weitere Identifier:
    hdl: 10419/247384
    Schriftenreihe: IES working paper ; 2021, 17
    Schlagworte: Interest rates; house prices; monetary policy transmission; meta-analysis; publication bias; Bayesian model averaging
    Umfang: 1 Online-Ressource (circa 41 Seiten), Illustrationen
  4. Essays in public finance
    Autor*in: Neisser, Carina
    Erschienen: April 2021

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    Universitätsbibliothek Braunschweig
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    Staats- und Universitätsbibliothek Bremen
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    Universitätsbibliothek Clausthal
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    Fachhochschule Erfurt, Hochschulbibliothek
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    Niedersächsische Staats- und Universitätsbibliothek Göttingen
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    Helmut-Schmidt-Universität, Universität der Bundeswehr Hamburg, Universitätsbibliothek
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    Staats- und Universitätsbibliothek Hamburg Carl von Ossietzky
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    Technische Universität Hamburg, Universitätsbibliothek
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    Bibliothek der Hochschule Hannover
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    Bibliothek im Kurt-Schwitters-Forum
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    Technische Informationsbibliothek (TIB) / Leibniz-Informationszentrum Technik und Naturwissenschaften und Universitätsbibliothek
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    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
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    Zentrale Hochschulbibliothek Lübeck
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    Leuphana Universität Lüneburg, Medien- und Informationszentrum, Universitätsbibliothek
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    Hochschule Magdeburg-Stendal, Hochschulbibliothek
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    Universitätsbibliothek Mannheim
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    Hochschule Osnabrück, Bibliothek Campus Westerberg
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    Hochschule Magdeburg-Stendal, Standort Stendal, Bibliothek
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    UB Weimar
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    Export in Literaturverwaltung   RIS-Format
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    Quelle: Verbundkataloge
    Beteiligt: Doerrenberg, Philipp (AkademischeR BetreuerIn)
    Sprache: Englisch
    Medientyp: Dissertation
    Format: Online
    Weitere Identifier:
    Schlagworte: taxation; publication bias; disclosure; admin data
    Umfang: 1 Online-Ressource (VIII, 182 Seiten), Diagramme
    Bemerkung(en):

    Dissertation, Universität Mannheim, 2021
  5. A tale of different capital ratios: how to correctly assess the impact of capital regulation on lending
    Autor*in: Malovaná, Simona; Hodula, Martin; Bajzík, Josef; Gric, Zuzana
    Erschienen: 2021
    Verlag:  Czech National Bank, Economic Research Department, Praha

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    Sprache: Englisch
    Medientyp: Buch (Monographie)
    Format: Online
    Schriftenreihe: Working paper series / Czech National Bank ; 2021, 8
    Schlagworte: Bank capital; bank lending; capital regulation; meta-analysis; publication bias
    Umfang: 1 Online-Ressource (circa 56 Seiten), Illustrationen
  6. Does sentiment affect stock returns?: a meta-analysis across survey-based measures
    Autor*in: Gric, Zuzana; Bajzík, Josef; Badura, Ondřej
    Erschienen: 2021
    Verlag:  Czech National Bank, Economic Research Department, Praha

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    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
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    VS 490
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    Sprache: Englisch
    Medientyp: Buch (Monographie)
    Format: Online
    Schriftenreihe: Working paper series / Czech National Bank ; 2021, 10
    Schlagworte: Bayesian model averaging; individual and institutional investors,meta-analysis; publication bias; stock returns; survey-based sentiment
    Umfang: 1 Online-Ressource (circa 52 Seiten), Illustrationen
  7. Meta-analysis
    fiscal multiplier
    Autor*in: Hlaváček, Michal; Ismayilov, Ilgar
    Erschienen: [2022]
    Verlag:  Institute of Economic Studies, Faculty of Social Sciences, Charles University in Prague, Prague

    Interest in fiscal policy has been dynamically improved in the last two decades; the number of research conducted on this topic has significantly increased in recent years. One of the key areas in fiscal policy investigations is the size of the... mehr

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    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
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    DS 167
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    Interest in fiscal policy has been dynamically improved in the last two decades; the number of research conducted on this topic has significantly increased in recent years. One of the key areas in fiscal policy investigations is the size of the fiscal multiplier, and most studies find contradictory results. In the current study, the unique dataset of 132 studies and more than 3200 observations were used to conduct a meta-analysis on multiplier effects, and several linear and non-linear models were involved in implementing this exercise. Additionally, Bayesian Model Averaging was first implemented to investigate heterogeneity effects in the meta-analysis of the fiscal multiplier. The results show that the fiscal multiplier is significantly less than one in the range of 0.75- 0.82. Moreover, the main contribution of the current study to the fiscal policy literature is disentangling the existence of selection publication bias in the literature.

     
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    Format: Online
    Weitere Identifier:
    hdl: 10419/265193
    Schriftenreihe: IES working paper ; 2022, 7
    Schlagworte: fiscal multiplier; meta-analysis; publication bias
    Umfang: 1 Online-Ressource (circa 41 Seiten), Illustrationen
  8. The null result penalty
    Autor*in: Chopra, Felix; Haaland, Ingar; Roth, Christopher; Stegmann, Andreas
    Erschienen: May 2022
    Verlag:  CESifo, Center for Economic Studies & Ifo Institute, Munich, Germany

    We examine how the evaluation of research studies in economics depends on whether a study yielded a null result. Studies with null results are perceived to be less publishable, of lower quality, less important, and less precisely estimated than... mehr

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    We examine how the evaluation of research studies in economics depends on whether a study yielded a null result. Studies with null results are perceived to be less publishable, of lower quality, less important, and less precisely estimated than studies with significant results, even when holding constant all other study features, including the precision of estimates. The null result penalty is of similar magnitude among PhD students and journal editors. The penalty is larger when experts predict a large effect and when statistical uncertainty is communicated with p-values rather than standard errors. Our findings highlight the value of pre-results review.

     
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    Weitere Identifier:
    hdl: 10419/263706
    Schriftenreihe: CESifo working paper ; no. 9776 (2022)
    Schlagworte: null results; publication bias; learning; information; scientific communication
    Umfang: 1 Online-Ressource (circa 53 Seiten), Illustrationen
  9. Retirement and health outcomes in a meta-analytical framework
    Autor*in: Filomena, Mattia; Picchio, Matteo
    Erschienen: luglio 2021
    Verlag:  [Università Politecnica delle Marche, Dipartimento di Scienze Economiche e Sociali], [Ancona]

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    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
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    Schriftenreihe: Quaderno di ricerca / Università Politecnica delle Marche, Dipartimento di Scienze Economiche e Sociali ; n. 458
    Schlagworte: retirement; health; meta-analysis; meta-regression; publication bias
    Umfang: 1 Online-Ressource (circa 48 Seiten), Illustrationen
  10. Unemployment and health
    a meta-analysis
    Autor*in: Picchio, Matteo; Ubaldi, Michele
    Erschienen: July 2022
    Verlag:  [Università Politecnica delle Marche, Dipartimento di Scienze Economiche e Sociali], [Ancona]

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    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
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    Schriftenreihe: Quaderno di ricerca / Università Politecnica delle Marche, Dipartimento di Scienze Economiche e Sociali ; n. 467
    Schlagworte: unemployment; health; meta-analysis; meta-regression; publication bias
    Umfang: 1 Online-Ressource (circa 51 Seiten), Illustrationen
  11. Unemployment and health
    a meta-analysis
    Autor*in: Picchio, Matteo; Ubaldi, Michele
    Erschienen: July 2022
    Verlag:  IZA - Institute of Labor Economics, Bonn, Germany

    This paper is a meta-analysis on the relationship between unemployment and health. Our meta-dataset is made up of 327 study results coming from 65 articles published in peer-reviewed journals between 1990 and 2021. We find that publication bias is... mehr

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    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
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    This paper is a meta-analysis on the relationship between unemployment and health. Our meta-dataset is made up of 327 study results coming from 65 articles published in peer-reviewed journals between 1990 and 2021. We find that publication bias is important, but only for those study results obtained through difference-in-differences or instrumental variables estimators. The average effect of unemployment on health is negative, but small in terms of partial correlation coefficient. We investigate if findings are heterogeneous among several research dimensions. We find that unemployment is mostly effective on the psychological domains of health and that short- and long-term unemployment spells equally affect health. Dealing with endogeneity issues is important and, when this is done, the unemployment effects on health are closer to be nil.

     
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    Medientyp: Buch (Monographie)
    Format: Online
    Weitere Identifier:
    hdl: 10419/263649
    Schriftenreihe: Discussion paper series / IZA ; no. 15433
    Schlagworte: unemployment; health; meta-analysis; meta-regression; publication bias
    Umfang: 1 Online-Ressource (circa 51 Seiten), Illustrationen
  12. Unemployment and health
    a meta-analysis
    Autor*in: Picchio, Matteo; Ubaldi, Michele
    Erschienen: 2022
    Verlag:  Global Labor Organization (GLO), Essen

    This paper is a meta-analysis on the relationship between unemployment and health. Our meta-dataset is made up of 327 study results coming from 65 articles published in peer-reviewed journals between 1990 and 2021. We find that publication bias is... mehr

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    Verlag (kostenfrei)
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    Standort:
    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
    Signatur:
    DS 565
    Fernleihe:
    keine Fernleihe

     

    This paper is a meta-analysis on the relationship between unemployment and health. Our meta-dataset is made up of 327 study results coming from 65 articles published in peer-reviewed journals between 1990 and 2021. We find that publication bias is important, but only for those study results obtained through differencein- differences or instrumental variables estimators. The average effect of unemployment on health is negative, but small in terms of partial correlation coefficient. We investigate if findings are heterogeneous among several research dimensions. We find that unemployment is mostly effective on the psychological domains of health and that short- and long-term unemployment spells equally affect health. Dealing with endogeneity issues is important and, when this is done, the unemployment effects on health are closer to be nil.

     
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    Weitere Identifier:
    hdl: 10419/261319
    Schriftenreihe: GLO discussion paper ; no. 1128
    Schlagworte: Unemployment; health; meta-analysis; meta-regression; publication bias
    Umfang: 1 Online-Ressource (circa 50 Seiten), Illustrationen
  13. People are less risk-averse than economists think
    Autor*in: Elminejad, Ali; Havránek, Tomáš; Havránková, Zuzana
    Erschienen: [2022]
    Verlag:  Institute of Economic Studies, Faculty of Social Sciences, Charles University in Prague, Prague

    We collect 1,021 estimates from 92 studies that use the consumption Euler equation to measure relative risk aversion and that disentangle it from intertemporal substitution. We show that calibrations of risk aversion are typically larger than... mehr

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    We collect 1,021 estimates from 92 studies that use the consumption Euler equation to measure relative risk aversion and that disentangle it from intertemporal substitution. We show that calibrations of risk aversion are typically larger than estimates thereof. Moreover, reported estimates are typically larger than the underlying risk aversion because of publication bias. After correction for the bias, the literature suggests a mean risk aversion of 1 in economics and 2-7 in finance contexts. The reported estimates are systematically driven by the characteristics of data (frequency, dimension, country, stockholding) and utility (functional form, treatment of durables). To obtain these results we use nonlinear techniques to correct for publication bias and Bayesian model averaging techniques to account for model uncertainty.

     
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    hdl: 10419/265200
    Schriftenreihe: IES working paper ; 2022, 14
    Schlagworte: Euler equation; risk aversion; Epstein-Zin preferences; meta-analysis; publication bias; Bayesian model averaging
    Umfang: 1 Online-Ressource (circa 54 Seiten), Illustrationen
  14. Hedge fund performance
    a quantitative survey
    Autor*in: Yang, Fan; Havránek, Tomáš; Havránková, Zuzana; Novák, Jiri
    Erschienen: [2022]
    Verlag:  Institute of Economic Studies, Faculty of Social Sciences, Charles University in Prague, Prague

    We provide the first quantitative survey of the empirical literature on hedge fund per- formance. We examine the impact of potential biases on the reported results. Empirical analysis in prior studies has been plagued by fragmentation of underlying... mehr

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    We provide the first quantitative survey of the empirical literature on hedge fund per- formance. We examine the impact of potential biases on the reported results. Empirical analysis in prior studies has been plagued by fragmentation of underlying data and by lim- ited consensus on how hedge fund performance should be measured. Using a sample of 1,019 intercept terms from regressions of hedge fund returns on risk factors (the "alphas") collected from 74 studies published between 2001 and 2021 we show that inferences about hedge fund returns are not significantly contaminated by publication selection bias. Most of our monthly alpha estimates adjusted for the (small) bias fall within a relatively narrow range of 30 to 40 basis points. Considering several partitions of our sample, we document a modest publication bias only for estimates based on instrumental variables (IV), for which relatively large standard errors are common and that tend to be less precise. In contrast, studies that explicitly control for the potential biases in the underlying data (e.g. the back- filling bias and the survivorship bias) report lower alphas. Our results demonstrate that despite the prevalence of the publication selection bias in numerous other research settings, publication may not be selective when there is no strong a priori theoretical prediction about the sign of estimated coefficients, which may induce greater readiness to publish statistically insignificant results.

     
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    Weitere Identifier:
    hdl: 10419/265201
    Schriftenreihe: IES working paper ; 2022, 15
    Schlagworte: Hedge funds; meta-analysis; publication bias
    Umfang: 1 Online-Ressource (circa 65 Seiten), Illustrationen
  15. P-hacking, data type and data-sharing policy
    Autor*in: Brodeur, Abel; Cook, Nikolai; Neisser, Carina
    Erschienen: September 2022
    Verlag:  IZA - Institute of Labor Economics, Bonn, Germany

    In this paper, we examine the relationship between p-hacking and data-sharing policies for published articles. We collect 38,876 test statistics from 1,106 articles published in leading economic journals between 2002-2020. While a data-sharing policy... mehr

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    DS 4
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    In this paper, we examine the relationship between p-hacking and data-sharing policies for published articles. We collect 38,876 test statistics from 1,106 articles published in leading economic journals between 2002-2020. While a data-sharing policy increases the provision of research data to the community, we find a well-estimated null effect that requiring authors to share their data at the time of publication does not alter the presence of p-hacking. Similarly, articles that use hard-to-access administrative data or third-party surveys, as compared to those that use easier-to-access (e.g., own-collected) data are not different in their p-hacking extent. Voluntary provision of data by authors on their homepages offers no evidence of reduced p-hacking.

     
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    Weitere Identifier:
    hdl: 10419/265807
    Schriftenreihe: Discussion paper series / IZA ; no. 15586
    Schlagworte: p-hacking; publication bias; data and code availability; data sharing policy; administrative data; survey data
    Umfang: 1 Online-Ressource (circa 86 Seiten), Illustrationen
  16. Do pre-registration and pre-analysis plans reduce p-hacking and publication bias?
    Autor*in: Brodeur, Abel; Cook, Nikolai; Hartley, Jonathan S.; Heyes, Anthony
    Erschienen: August 2022
    Verlag:  IZA - Institute of Labor Economics, Bonn, Germany

    Randomized controlled trials (RCTs) are increasingly prominent in economics, with pre-registration and pre-analysis plans (PAPs) promoted as important in ensuring the credibility of findings. We investigate whether these tools reduce the extent of... mehr

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    DS 4
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    Randomized controlled trials (RCTs) are increasingly prominent in economics, with pre-registration and pre-analysis plans (PAPs) promoted as important in ensuring the credibility of findings. We investigate whether these tools reduce the extent of p-hacking and publication bias by collecting and studying the universe of test statistics, 15,992 in total, from RCTs published in 15 leading economics journals from 2018 through 2021. In our primary analysis, we find no meaningful difference in the distribution of test statistics from pre-registered studies, compared to their non-pre-registered counterparts. However, pre-registerd studies that have a complete PAP are significantly less p-hacked. This results point to the importance of PAPs, rather than pre-registration in itself, in ensuring credibility.

     
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    Medientyp: Buch (Monographie)
    Format: Online
    Weitere Identifier:
    hdl: 10419/265697
    Schriftenreihe: Discussion paper series / IZA ; no. 15476
    Schlagworte: pre-analysis plan; pre-registration; p-hacking; publication bias; research credibility
    Umfang: 1 Online-Ressource (circa 44 Seiten), Illustrationen
  17. We need to talk about Mechanical Turk
    what 22,989 hypothesis tests tell us about publication bias and p-hacking in online experiments
    Autor*in: Brodeur, Abel; Cook, Nikolai; Heyes, Anthony
    Erschienen: August 2022
    Verlag:  IZA - Institute of Labor Economics, Bonn, Germany

    Amazon Mechanical Turk is a very widely-used tool in business and economics research, but how trustworthy are results from well-published studies that use it? Analyzing the universe of hypotheses tested on the platform and published in leading... mehr

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    Amazon Mechanical Turk is a very widely-used tool in business and economics research, but how trustworthy are results from well-published studies that use it? Analyzing the universe of hypotheses tested on the platform and published in leading journals between 2010 and 2020 we find evidence of widespread p-hacking, publication bias and over-reliance on results from plausibly under-powered studies. Even ignoring questions arising from the characteristics and behaviors of study recruits, the conduct of the research community itself erode substantially the credibility of these studies' conclusions. The extent of the problems vary across the business, economics, management and marketing research fields (with marketing especially afflicted). The problems are not getting better over time and are much more prevalent than in a comparison set of non-online experiments. We explore correlates of increased credibility.

     
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    hdl: 10419/265699
    Schriftenreihe: Discussion paper series / IZA ; no. 15478
    Schlagworte: online crowd-sourcing platforms; Amazon Mechanical Turk; p-hacking; publication bias; statistical power; research credibility
    Umfang: 1 Online-Ressource (circa 57 Seiten), Illustrationen
  18. Borrower-based macroprudential measures and credit growth
    how biased is the existing literature?
    Autor*in: Malovaná, Simona; Hodula, Martin; Gric, Zuzana; Bajzík, Josef
    Erschienen: August 2022
    Verlag:  Czech National Bank, Economic Research Department, Praha

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    Schriftenreihe: Working paper series / Czech National Bank ; 2022, 8
    Schlagworte: Bayesian model averaging; borrower-based measures; macroprudential policy,meta-analysis; publication bias
    Umfang: 1 Online-Ressource (circa 50 Seiten), Illustrationen
  19. We need to talk about Mechanical Turk
    what 22,989 hypothesis tests tell us about p-hacking and publication bias in online experiments
    Autor*in: Brodeur, Abel; Cook, Nikolai; Heyes, Anthony
    Erschienen: 2022
    Verlag:  Global Labor Organization (GLO), Essen

    Amazon's Mechanical Turk is a very widely-used tool in business and economics research, but how trustworthy are results from well-published studies that use it? Analyzing the universe of hypotheses tested on the platform and published in leading... mehr

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    Amazon's Mechanical Turk is a very widely-used tool in business and economics research, but how trustworthy are results from well-published studies that use it? Analyzing the universe of hypotheses tested on the platform and published in leading journals between 2010 and 2020 we find evidence of widespread p-hacking, publication bias and over-reliance on results from plausibly under-powered studies. Even ignoring questions arising from the characteristics and behaviors of study recruits, the conduct of the research community itself erodes substantially the credibility of these studies' conclusions. The extent of the problems vary across the business, economics, management and marketing research fields (with marketing especially afflicted). The problems are not getting better over time and are much more prevalent than in a comparison set of non-online experiments. We explore correlates of increased credibility.

     
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    hdl: 10419/263216
    Schriftenreihe: GLO discussion paper ; no. 1157
    Schlagworte: online crowd-sourcing platforms; Amazon Mechanical Turk; p-hacking; publication bias; statistical power; research credibility
    Umfang: 1 Online-Ressource (circa 56 Seiten), Illustrationen
  20. We need to talk about mechanical turk
    what 22,989 hypothesis tests tell us about publication bias and p-hacking in online experiments
    Autor*in: Brodeur, Abel; Cook, Nikolai; Heyes, Anthony
    Erschienen: [2022]
    Verlag:  LCERPA, Laurier Centre for Economic Research & Policy Analysis, [Waterloo, ON]

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    Schriftenreihe: LCERPA working paper ; no. 2022, 4 (August 2022)
    Schlagworte: online crowd-sourcing platforms; Amazon Mechanical Turk- p-hacking; publication bias; statistical power; research credibility
    Umfang: 1 Online-Ressource (circa 56 Seiten), Illustrationen
  21. Financial incentives and performance
    a meta-analysis of economics evidence
    Autor*in: Cala, Petr; Havránek, Tomáš; Havránková, Zuzana; Matousek, Jindrich; Novák, Jiri
    Erschienen: [2022]
    Verlag:  Institute of Economic Studies, Faculty of Social Sciences, Charles University in Prague, Prague

    Standard economics models require that financial incentives improve performance, while leading theories in psychology allow for the opposite. Experimental results are mixed, and so far have not been corrected for publication bias and model... mehr

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    Standard economics models require that financial incentives improve performance, while leading theories in psychology allow for the opposite. Experimental results are mixed, and so far have not been corrected for publication bias and model uncertainty. We collect 1,568 economics estimates together with 46 factors capturing the context in which the estimates were obtained. We use novel nonlinear techniques to correct for publication bias and em- ploy Bayesian model averaging to account for model uncertainty. The corrected estimates are zero or tiny across contexts of field experiments, including differences in performance measurement, task definition, reward size and framing, motivation beyond money, subject pool, and estimation technique. Laboratory experiments produce statistically significant estimates on average after correction for publication bias, but even there the effect is weak. Experimental economics evidence is inconsistent with standard economics models.

     
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    hdl: 10419/286323
    Schriftenreihe: IES working paper ; 2022, 27
    Schlagworte: incentives; experiments; meta-analysis; model uncertainty; publication bias
    Umfang: 1 Online-Ressource (circa 43 Seiten), Illustrationen
  22. We need to talk about mechanical turk
    what 22,989 hypothesis tests tell us about p-hacking and publication bias in online experiments
    Autor*in: Brodeur, Abel; Cook, Nikolai; Heyes, Anthony
    Erschienen: November 2022
    Verlag:  Institute for Replication, Essen, Germany

    Amazon's Mechanical Turk is a very widely-used tool in business and economics research, but how trustworthy are results from well-published studies that use it? Analyzing the universe of hypotheses tested on the platform and published in leading... mehr

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    Amazon's Mechanical Turk is a very widely-used tool in business and economics research, but how trustworthy are results from well-published studies that use it? Analyzing the universe of hypotheses tested on the platform and published in leading journals between 2010 and 2020 we find evidence of widespread p-hacking, publication bias and over-reliance on results from plausibly under-powered studies. Even ignoring questions arising from the characteristics and behaviors of study recruits, the conduct of the research community itself erodes substantially the credibility of these studies' conclu- sions. The extent of the problems vary across the business, economics, management and marketing research fields (with marketing especially afflicted). The problems are not getting better over time and are much more prevalent than in a comparison set of non-online experiments. We explore correlates of increased credibility.

     
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    hdl: 10419/266266
    Schriftenreihe: I4R discussion paper series / Institute for Replication ; no. 8
    Schlagworte: online crowd-sourcing platforms; Amazon Mechanical Turk; p-hacking; publication bias; statistical power; research credibility
    Umfang: 1 Online-Ressource (circa 58 Seiten), Illustrationen
  23. How puzzling is the forward premium puzzle?
    a meta-analysis
    Autor*in: Zigraiova, Diana; Havránek, Tomáš; Novák, Jiri
    Erschienen: 2020
    Verlag:  ESM, Luxembourg

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    Medientyp: Ebook
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    ISBN: 9789295085961
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    Schriftenreihe: Working paper series / European Stability Mechanism ; 46 (2020)
    Schlagworte: Forward rate bias; uncovered interest parity; meta-analysis; publication bias; model uncertainty
    Umfang: 1 Online-Ressource (circa 45 Seiten), Illustrationen
  24. Does heat cause homicides?
    a meta-analysis
    Autor*in: Mišák, Vojtěch
    Erschienen: [2023]
    Verlag:  Institute of Economic Studies, Faculty of Social Sciences, Charles University in Prague, Prague

    Several studies provide evidence that heat is positively associated with criminal activity. However, the empirical literature does not provide conclusive evidence about the effect of high temperature on homicides. I examine 156 estimates from 20... mehr

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    Several studies provide evidence that heat is positively associated with criminal activity. However, the empirical literature does not provide conclusive evidence about the effect of high temperature on homicides. I examine 156 estimates from 20 studies on the relationship between temperature and homicide rates. In particular, in this meta-analysis I study publication bias using linear and nonlinear techniques together with Bayesian model averaging to explain the heterogeneity in the estimates. After correcting estimates from the publication bias, I find no significant effect of temperature on homicide rates. Moreover, monthly data produce larger estimates. Conversely, studies using data from Asia or the OLS estimation method lead to smaller estimates.

     
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    hdl: 10419/286335
    Schriftenreihe: IES working paper ; 2023, 6
    Schlagworte: environmental law and economics; economic analysis of crime; meta-analysis; Bayesian model averaging; publication bias
    Umfang: 1 Online-Ressource (circa 30 Seiten), Illustrationen
  25. Are estimates of the impact of shareholder activism published selectively?
    Autor*in: Bajzika, Josef; Havráneka, Tomáš; Iršováa, Zuzana; Novák, Jiri
    Erschienen: [2023]
    Verlag:  Institute of Economic Studies, Faculty of Social Sciences, Charles University in Prague, Prague

    Shareholder activism constitutes an increasingly prominent feature of corporate governance landscape. There is a controversy in prior research over whether and how much value activism creates. We examine whether estimates of the impact of shareholder... mehr

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    Shareholder activism constitutes an increasingly prominent feature of corporate governance landscape. There is a controversy in prior research over whether and how much value activism creates. We examine whether estimates of the impact of shareholder activism are published selectively in prior empirical research. We argue that economists may tend to view activism as a vital corporate governance tool to overcome agency problems and promote economic efficiency. Researchers and journal editors may thus be biased towards consider empirical results in support of the beneficial role of shareholder activism as more reliable than insignificant or opposite results. Consistent with this prediction we document a substantial bias towards publishing (i) higher (rather than lower) and (ii) statistically significant (rather than insignificant) estimates of the impact of shareholder activism. Due to that the pool of estimates in prior empirical literature is biased upwards. The value created by the various forms of shareholder activism corrected for these biases ranges from 0.38 to 3.23% with a median value of 1.94%.

     
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    hdl: 10419/286330
    Schriftenreihe: IES working paper ; 2023, 1
    Schlagworte: cumulative abnormal return; shareholder activism; eventstudy; meta-analysis; model averaging; publication bias
    Umfang: 1 Online-Ressource (circa 34 Seiten), Illustrationen