Showing 1 - 5 of 5
This study develops cluster robust inference methods for panel quantile regression (QR) models with individual fixed effects, allowing for temporal correlation within each individual. The conventional QR standard errors can seriously underestimate the uncertainty of estimators and, therefore,...
Persistent link: https://www.econbiz.de/10012213981
This paper studies estimation and inference for linear quantile regression models with generated regressors. We suggest a practical two-step estimation procedure, where the generated regressors are computed in the first step. The asymptotic properties of the two-step estimator, namely,...
Persistent link: https://www.econbiz.de/10012504016
This paper studies a dynamic quantile model for intertemporal decisions under uncertainty, in which the decision maker maximizes the τ-quantile of the stream of future utilities, for τ ∈ (0,1). We present two sets of contributions. First, we generalize existing results in directions that are...
Persistent link: https://www.econbiz.de/10015332600
Fractile Graphical Analysis (FGA) was proposed by Prasanta Chandra Mahalanobis in 1961 as a method for comparing two distributions at two different points (of time or space) controlling for the rank of a covariate through fractile groups. We use bootstrap techniques to formalize the heuristic...
Persistent link: https://www.econbiz.de/10013401813
The Belt and Road Initiative (BRI) is an important strategy for China. This study examines the effect of political involvement on firms' outward foreign direct investment (OFDI) in belt-road countries after the BRI. Using merged Chinese nonfinancial listed firm data, the fDi Markets database,...
Persistent link: https://www.econbiz.de/10014288586