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Miscalibration can be defined as the fact that people think that their knowledge is more precise than it actually is. In a typical miscalibration experiment, subjects are asked to provide subjective confidence intervals. A very robust finding is that subjects provide too narrow intervals at the...
Persistent link: https://www.econbiz.de/10004988948
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Simple exchange experiments have identified the fact that participants trade their endowment less frequently than standard demand theory predicts. List (2003) finds, however, that the most experienced dealers acting on a well functioning market are not subject to this “endowment effect”....
Persistent link: https://www.econbiz.de/10005225485
We test the causal role of social capital, as measured by self-reported trust, in determining access to basic health facilities in Sub-Saharan Africa. To skirt reverse-causality problems between social capital and basic health, we rely on instrumental variable (IV) estimates. The results show...
Persistent link: https://www.econbiz.de/10011201367
Miscalibration can be defined as the fact that people think that their knowledge is more precise than it actually is. In a typical miscalibration experiment, subjects are asked to provide subjective confidence intervals. A very robust finding is that subjects provide too narrow intervals at the...
Persistent link: https://www.econbiz.de/10008563062
This Special Issue is devoted to the econometric analysis of income inequality and income distributions. Given the recent surge of inequality research, this Special Issue seeks to combine both theoretical and applied contributions which advance the econometric analysis of income inequality and...
Persistent link: https://www.econbiz.de/10011985235
Persistent link: https://www.econbiz.de/10011995236
Various versions of the wild bootstrap are studied as applied to regression models with heteroskedastic errors. We develop formal Edgeworth expansions for the error in the rejection probability (ERP) of wild bootstrap tests based on asymptotic t statistics computed with a heteroskedasticity...
Persistent link: https://www.econbiz.de/10011940627
Various versions of the wild bootstrap are studied as applied to regression models with heteroskedastic errors. It is shown that some versions can be qualified as 'tamed', in the sense that the statistic bootstrapped is asymptotically independent of the distribution of the wild bootstrap DGP....
Persistent link: https://www.econbiz.de/10009440080