Quasi-Bayesian Dual Instrumental Variable Regression.Ziyu WangYuhao ZhouTongzheng RenJun Zhu
Firstly, based on the CDF value (Cragg-Donald Wald F statistic) and KPF value (Kleibergen-Paap rk Wald F statistic) of instrumental variable regression, the instrumental variables meet the requirements of weak instrumental variable testing. This indicates that the instrumental variables selected in ...
Our primary analysis consisted of a comparison of the two hospital-stratified treatment strategies – ticagrelor-DAPT for all (CHUS) vs. physician-discretion TATT or DAPT (CHUM) – using multivariable logistic regression with a backwards selection algorithm (p = 0.25) with a plan to use the...
Models Binary probit regression and IV-probit endogeneity test This study, grounded in the preceding theoretical analysis, considers the discrete nature of the dependent variable. To explore the influence of both welfare acquisition ability and willingness on thehukouselection of rural members belonging t...
Dashed lines represent the 95% confidence interval for linear regression. Extrapolated intercept of coral and bivalve lines shown within shaded region representing the region of 95% confidence, calculated using a Monte-Carlo approach based on re-sampling measured data. Error bars on samples represent ...
5.2. Baseline regression results Table 5 presents the system GMM estimation results for our baseline model based on a sample of 80 Islamic and 204 conventional banks over the period 2000–2019. The coefficients of the lagged dependent variable are positive and significant at the 1% level across ...
Also, the proportion of other firms (excluding the focal firm) in the same industry with high digital finance levels (Other-DWF) was added as an exogenous instrumental variable to construct an inverse Mills ratio (IMR), which was added to the benchmark regression. As shown in Columns (2)...
Models Binary probit regression and IV-probit endogeneity test This study, grounded in the preceding theoretical analysis, considers the discrete nature of the dependent variable. To explore the influence of both welfare acquisition ability and willingness on the hukou selection of rural members ...
6. Regression results 6.1. Primary specification Table 4 presents the estimation of Eqs. (1), (2) using the two-step system GMM. (1), (2), (3), (4) employ the Z-score as the dependent variable, while regressions (5)–(8) utilize the natural logarithm of the Z-score. (1), (...
These regressions take the Z-score as the bank-level dependent variable to test the Islamicity-stability link in markets that adopt a dual banking arrangement. Table 6. Regression results for Islamicity, bank stability for our sample, and role of Islamic banking. Empty CellColumn 1: OISColumn...