We measure the impact of measurement error in labor-supply elasticities estimated over recalled usual work hours, as is ubiquitous in the literature. Employing hours of work in diaries collected by the American Time Use Survey, 2003-12, along with the same respondents' recalled usual hours, we...

Measurement error is a common phenomenon in the empirical sciences. Longitudinal data can especially be affected by it, as measurement error can influence measures of change, which is one of the primary reasons for collecting longitudinal data in panel surveys. However, measurement error in...

Economic activity is a stream of interconnected experiments, where some are bound to fail. Such failures are costly and policy makers might aspire to mitigate them, particularly during economic crises. The mitigation can happen in two ways: through further entrepreneurial experimentation in the...

There is wide variation in how consumption is measured in household surveys, both across countries and over time. This variation may confound welfare comparisons in part because these alternative survey designs produce consumption estimates differentially influenced by contrasting types of...

We consider nonlinear parametric models with an independent variable that is measured with error. The measurement error can be correlated with the true value, i.e., the measurement error is allowed to be nonclassical. We propose a control variable estimator for the parameters of interest. The...

We use a Bayesian measurement error model to derive a probabilistic measure of democracy from several existing dichotomous data sets. This approach accepts the premise that democracy may usefully be construed as a bivalent concept for certain theoretical and technical purposes, but it also makes...

In previous research (Mellon & Prosser, Missing Non-Voters and Misweighted Samples: Explaining the 2015 Great British Polling Miss) we show that the primary cause of the polling miss at the 2015 UK General Election was the undersampling of less politically engaged respondents, particularly...

This research presents the inferential statistics for Cronbach’s coefficient alpha on the basis of the standard statistical assumption of multivariate normality. The estimation of alpha’s standard error (ASE) and confidence intervals are described, and the authors analytically and...

When studies examine true effects, they generate right-skewed p-curves, distributions of statistically significant results with more low (.01s) than high (.04s) p-values. What else can cause a right-skewed p-curve? First, we consider the possibility that researchers report only the smallest...

In the current study, we present a more accurate method for correcting for range restriction (Case V) that expands upon Bryant and Gokhale’s (1972) method. We further present detailed steps to incorporate the Case V method into Schmidt and Hunter’s (2015; Hunter & Schmidt, 2004) psychometric...