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This paper develops a Bayesian quantile regression model with time-varying parameters (TVPs) for forecasting in ation risks. The proposed parametric methodology bridges the empirically established benefits of TVP regressions for forecasting in ation with the ability of quantile regression to...
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statistical inference, and the simulation uses the Hamiltonian Monte Carlo (HMC) algorithm of Markov Chain Monte Carlo (MCMC) to …
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This paper studies the public sector wage gap in Spain, by gender, skill level and type of contract, using recent administrative data from tax records. We estimate wage distributions in the presence of covariates separately for men and women in the public and in the private sectors, and we take...
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This study examines the correlation between childhood poverty and its influence on adulthood wage distribution, where childhood poverty refers to experience of poverty or poor family background during one's childhood. With the data from Korean Labor Income Panel Study, KLIPS, quantile regression...
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