. This may lead to exaggerated conservatism in the voting decision (status quo bias). To investigate how complexity affects …

. These findings are established through the estimation of a spatial bivariate probit model. …

This paper proposes a Bayesian estimation framework for panel-data sets with binary dependent variables where a large … micro-, meso-, and macroeconomic levels. The paper outlines the estimation approach, illustrates its suitability by …

We study biased survival expectations across two domains and examine whether such biased expectations influence health … European countries for more than a decade, we estimate time-varying individual level bias in ‘survival expectations' (BSE) at …'s family history (parental age at death) to estimate the effect of BSE on health and financial behaviors and compare it to BME …

The paper explores the effect of measurement errors on the estimation of a linear panel data model. The conventional … fixed effects estimator, which ignores measurement errors, is biased. By correcting for the bias one can construct …. -- Panel regression ; multiplicative measurement errors ; bias correction ; asymptotic variance ; disclosure control …

asymptotic linear expansions with nearly optimal rates. Second, we study the higher-order bias of exact quantile estimators up to … O (1/n). Using a novel non-smooth calculus technique, we uncover previously unknown non-negligible bias components that … cannot be consistently estimated and depend on the employed estimation algorithm. To circumvent this problem, we propose a …

Purchasing power adjusted incomes applied in cross-country comparisons are measured with bias. In this paper, we … estimate the purchasing power parity (PPP) bias in Penn World Table incomes and provide corrected incomes. The bias is … bias and the bias in consumer price index (CPI) numbers. The PPP bias and subsequent corrected incomes are measured by …