The paper claims a JPEG-wavelet IV estimator that corrects both selection and endogeneity biases in truncated samples, supported by Monte Carlo evidence but resting on an unproven algorithmic identity.
Compression approaches for the regularized solutions of linear systems from large-scale inverse problems,
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Semiparametric Wavelet-based JPEG IV Estimator for endogenously truncated data
The paper claims a JPEG-wavelet IV estimator that corrects both selection and endogeneity biases in truncated samples, supported by Monte Carlo evidence but resting on an unproven algorithmic identity.