The effect of less autonomy on performance in retail: Evidence from a quasi-natural field experiment

Gjedrem, William Gilje; Rege, Mari

doi:10.1016/j.jebo.2017.02.008

Journal of Economic Behavior & Organization

2017

DOI: 10.1016/j.jebo.2017.02.008

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The effect of less autonomy on performance in retail: Evidence from a quasi-natural field experiment

William Gilje Gjedrem

Mari Rege

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Cited by 3 publications

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“…instance,Gjedrem and Rege (2017) argue: "We can see in Column 1 that, due to power issues there are no significant differences[...]." Another example is Aguiar-Conraria et al(2016): "Part of the explanation for this lack of statistical significance may be attributed to the low power of the statistical effects […]".…”

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confidence: 99%

Sample Size Calculation in Economic Experiments

Grüner

2019

SSRN Journal

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Clinical studies and economic experiments are often conducted with randomized controlled trials. In clinical studies, power calculations are carried out as a standard. But what's about economic experiments? After describing the basic idea of the calculation procedure, I tackle the practice of sample size calculations in the realm of experimental economics by considering the publications of 5 economic journals in the period 2000-2018. These are two top-ranked economic journals (Quarterly Journals of Economics and American Economic Review), the leading field journals in the area of experimental economics (Experimental Economics) and behavioral sciences (Journal of Economic Behavior and Organization), and a leading field journal in environmental economics (Environmental and Resource Economics). In contrast to clinical drug trials, sample size calculations have rarely been carried out by experimental economists. But the number of power calculations has slightly increased in recent years, especially in the leading journals of economics. However, this can be partly explained by the fact that field experiments (in which scholars pay more attention to power analyses than in lab experiments these days) play an important role in these journals.

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mentioning

confidence: 99%

Sample Size Calculation in Economic Experiments

Grüner

2019

SSRN Journal

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Insider econometrics meets people analytics and strategic human resource management

Larsson

Edwards

2021

The International Journal of Human Resource Management

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Sample Size Calculation in Economic Experiments

Grüner

2020

Jahrbücher Für Nationalökonomie Und Statistik

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Clinical studies and economic experiments are often conducted with randomized controlled trials. In clinical studies, power calculations are carried out as a standard. But what’s about economic experiments? After describing the basic idea of the calculation procedure in a brief tutorial, I tackle the practice of sample size calculations in the field of experimental economics by considering the publications of 5 economic journals in the period 2000–2018. These are two top-ranked economic journals (Quarterly Journal of Economics and American Economic Review), the leading field journals in the area of experimental economics (Experimental Economics) and behavioral sciences (Journal of Economic Behavior and Organization), and a leading field journal in environmental economics (Environmental and Resource Economics). In contrast to clinical drug trials, sample size calculations have rarely been carried out by experimental economists. But the number of power calculations has slightly increased in recent years, especially in the top-ranked journals of economics. However, this can be partly explained by the fact that field experiments (in which scholars pay more attention to power analyses than in lab experiments these days) play an important role in these journals.

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The effect of less autonomy on performance in retail: Evidence from a quasi-natural field experiment

Cited by 3 publications

References 35 publications

Sample Size Calculation in Economic Experiments

Sample Size Calculation in Economic Experiments

Insider econometrics meets people analytics and strategic human resource management

Sample Size Calculation in Economic Experiments

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