This paper analyses measurement error in the classification of employment. We show that the true employment rate and time-invariant error rates can be identified, given access to two measures of employment with independent errors. Empirical identification requires at least two periods of data...

This paper analyses the measurement error and earnings dynamics of two sources of individuals' annual earnings from Statistics New Zealand's Survey of Family, Income and Employment (SoFIE) and administrative linked employer-employee data (LEED) earnings reported in the Integrated Database...

In the U.S. Census Bureau's 2002 and 2007 Censuses of Manufactures 79% and 73% of observations respectively have imputed data for at least one variable used to compute total factor productivity. The Bureau primarily imputes for missing values using mean-imputation methods which can reduce the...

We look into the impact of measurement error in capital on the estimation of production functions. We introduce an identification scheme and an estimation procedure that jointly deals with measurement error in capital and the standard simultaneity bias due to unobserved productivity shocks. We...

In empirical option pricing studies, model pricing performance is generally evaluated with distance from the market prices. A common approach is to aggregate similar contracts' pricing errors, in terms of remaining time to contract expiry (maturity) and relative position of the exercise price to...

This paper presents a modification to the testable Euler equation in the form of an adjustment term due to additive measurement error in consumption data. The error in consumption data has the potential to magnify the equity premium puzzle in a CRRA framework and including the adjustment term...

This paper proposes a simple maximum likelihood regression estimator that outperforms Least Squares in terms of efficiency and mean square error for a large number of skewed and/or heavy tailed error distributions.