When the choice of the nominal anchor and timing of inflation stabilization is analyzed with models of political business cycles, there is room for political opportunism of policymakers. The different business cycles associated with exchange rate-based (ERBS) and money-based stabilizations (MBS) imply that the decision regarding the timing and nominal anchor of stabilization may be affected by ...

The logsum formula, which provides the expected maximum utility for the multinomial logit model, is often used as a measure of welfare. We provide here a closed form formula of the welfare measure of an individual who has not access to his first-best choice, but has access to his rth-best choice, r = 2, ...n, where n is the number of alternatives. The derivation is based on a standard identity ...

OBJECTIVES To identify the risk factors of postoperative pulmonary complications (PPC) after surgery for gallstone disease. METHODS A total of 544 patients undergoing open surgery for gallstone disease were retrospectively studied. Univariate and multivariate logistic regression were used to analyze each factor. RESULTS There were 24 factors relating to PPC in univariate logistic analysis. ...

This study mapped and analyzed groundwater potential using two different models, logistic regression (LR) and multivariate adaptive regression splines (MARS), and compared the results. A spatial database was constructed for groundwater well data and groundwater influence factors. Groundwater well data with a high potential yield of ≥70 m3/d were extracted, and 859 locations (70%) were used for ...

Introduction: Adolescents are the important portions of the Iranian population. Adolescents health status has a critical role in their learning ability and their performance. The present study aimed to determine the predictive factors for general health status in Iranian high school students in 2014. Materials and methods: In a cross-sectional study evaluated the predictive factors for general...

This paper reviews several common challenges encountered in statistical analyses of epidemiological data for epidemiologists. We focus on the application of linear regression, multivariate logistic regression, and log-linear modeling to epidemiological data. Specific topics include: (a) deletion of outliers, (b) heteroscedasticity in linear regression, (c) limitations of principal component ana...

In this work, we consider a multivariate regression model with one-sided errors. We assume for the function to lie in general Hölder class and estimate it via nonparametric local polynomial approach that consists of minimization integral approximation lying above data points. While consideration covariates offers an undeniable opportunity from application-oriented standpoint, requires new metho...