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This is the second paper presenting noise-reduced, stable correlations for long-term risk measurement. We smooth time … correlations have superior time stability and are cleaned of noise. Here we show that the Signal-to-Noise Ratio is larger for the … SSA-based correlations than usual, and we perform other signal/noise tests. We use new results refining random matrix …
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This paper considers a semiparametric threshold regression model with two threshold variables,extending Chen et al. (2012) and Kourtellos et al. (2021). The proposed model allows the endogeneity for both threshold variables and the slope regressors. Under the diminishing thresholdeffects...
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We propose various semiparametric estimators for nonlinear selection models, where slope and intercept can be separately identifed. When the selection equation satisfies a monotonic index restriction, we suggest a local polynomial estimator, using only observations for which the marginal...
Persistent link: https://www.econbiz.de/10012518068
In this paper, we investigate semiparametric threshold regression models with endogenous threshold variables based on a nonparametric control function approach. Using a series approximation we propose a two-step estimation method for the threshold parameter. For the regression coefficients, we...
Persistent link: https://www.econbiz.de/10012942196