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The objective of measuring poverty is usually to make comparisons over time or between two or more groups. Common statistical inference methods are used to determine whether an apparent difference in measured poverty is statistically significant. Studies of relative poverty have long recognized...
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Economists have devoted increasing attention to the magnitude and consequences of measurement error in their data. Most … discussions of measurement error are based on the “classical” assumption that errors in measuring a particular variable are … those variables. In this survey, we focus on both the importance of measurement error in standard survey-based economic …
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While stock market expectations are among the most important primitives of portfolio choice models, their measurement … has proved challenging for some respondents. We argue that the magnitude of measurement error in subjective expectations … model parameters for respondents at the lower end of the measurement error distribution; these effects are much less …
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theory-based hypotheses about the effects that the choice of format has on measurement error in looping questions and test …
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The perpetual inventory method used for the construction of education data per country leads to systematic measurement … error. This paper analyses the effect of this measurement error on GDP regressions. There is a systematic difference in the … the measurement error. The standard attenuation bias suggests that using these corrected data would lead to a higher …
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measurement, and it has become standard practice to construct income measures to mitigate these. However, remaining bias can lead … literature. We show with theory and simulations that even using a 30-year income average can result in a small positive spurious …
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