We assess the extent and cost of misallocation in agriculture in less-developed countries comparing the analysis at the plot and farm levels. Using detailed data from Uganda, we show that the plot-level analysis leads to extremely large estimates of reallocation gains, even after adjusting for...

This paper shows how to remove attenuation bias in regression analyses due to measurement error in historical data for a given variable of interest by using a secondary measure which can be easily generated from digitized newspapers. We provide three methods for using this secondary variable to...

In analyses of minimum wages, positive “ripple effects” and subminimum wages are difficult to distinguish from measurement error. Indeed, prior work posits that a simple, symmetric measurement process may underlie both phenomena in Current Population Survey data for the full working age...

Although proxy variables are pervasive in empirical work, the quality of proxy variables---in terms of how closely they track underlying economic forces---is not known. We derive novel regression specifications to infer the severity of measurement error using a sample of 2,552 instrumental...

In statistics, samples are drawn from a population in a data-generating process (DGP). Standard errors measure the uncertainty in sample estimates of population parameters. In science, evidence is generated to test hypotheses in an evidence-generating process (EGP). We claim that EGP variation...

In this paper, a quantum error correction scheme combined with quantum feedback control is proposed, which can achieve the Heisenberg limit even if the Hamiltonian-Not-in-Lindblad-Span condition in the optimal error correction protocol is not satisfied. Compared with other error correction...

The flow velocity of exhaust gas from an industrial stack varies from facility to facility and can easily change over time, even in a stack. To accurately measure the concentration of fine particles such as PM 10 or PM 2.5 emitted in such environments, the conditions for isokinetic sampling must...

AbstractAccurate forecasting is critical for an efficient fiscal policy framework since it impacts consumer sentiments, business confidence, domestic and international institutions. Forecasts will be evaluated for accuracy, bias and efficiency, using ME, MAE, RMSE, Theil’s U statistic and the...

We report non-zero weak lensing convergence correlation signal of Type-Ia supernovae from 5-year Supernovae Legacy Survey data. For our analysis we utilize 296 supernovae magnification data from 5-year SNLS in the weak lensing limit. The data we use consists of measurements from four different...

We develop a procedure to identify latent group structures in linear panel data models that exploits a grouping in the error variances of cross-sectional units. To accommodate such grouping, we introduce an objective function that avoids a singularity that arises in a pseudo-likelihood approach....