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The accuracy of our estimations is higher than that of the Kepler Input Catalog (KIC) values, and the differences between our values and KIC values [(DeltaTeff rms ˜ 219 K, (Deltalog g)rms ˜ 0.37 dex, and (Delta[Fe/H] rms ˜ 0.46 dex] are comparable to the large uncertainties and systematic differences of KIC values reported by the previous researchers.
In line with these results, the experimental measurements of Chiba and Kobayashi, for injected bubbles in a two-dimensional fluidized bed of particles smaller than those used in this investigation, are found to be in excellent agreement with the lower bound of our estimations.
This suggests high precision of our estimations.
In all of our estimations, we employ micro-level labor market data for natives.
This value belongs to the accuracy range of our estimations of the nonlinear optical coefficients.
In most of our estimations, we find a significantly positive relationship between the net replacement rate and the wage.
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To validate the accuracy of our estimation, we have also estimated confidence intervals using the bootstrap method [16, 17].
We also explain how the proposed approach can be extended to a general system of N agents and discuss efficient computation of our estimation strategy.
Proof of Theorem 4 We first discuss the consistency of our estimation.
A main limitation of our estimation is the cross-sectional design.
Given the reduced-form nature of our estimation, we cannot distinguish between demand and supply factors.
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