Explanatory variables and their expected coefficients
determining relationships among the explanatory variables, and
... Figure 4.10: Quantile-normal plot with ties. to be nearly normally distributed. In figure 4.11 note that we have many points in a row that are on the same side of the line (rather than just bouncing around to either ...
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Multiple Fractional Response Variables with Continuous Endogenous Explanatory Variables
... Multiple fractional responses have one additional feature as well as the bounded na- ture: an adding-up constraint - the sum of an observation’s responses is one. Suppose a researcher studies individual’s asset ...
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Lagged Explanatory Variables and the Estimation of Causal Effects
... key explanatory variables, including whether a country is named in the ...“All explanatory and control variables are lagged to help address reverse causality and selection issues” (8), and ask ...
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The use of cognitive ability measures as explanatory variables in regression analysis
... education, and, consistent with the posited theory, they find that among individuals with similar cognitive skills, black men and women are more likely than their white counterparts to pursue higher education. In each of ...
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On expected number of real zeros of a random hyperbolic polynomial with dependent coefficients
... the coefficients of f n ( t ) in ...random variables, each with mean zero, variance one and ρ ij , the correlation coefficient between the ith and jth coefficients, is given by ρ ij = ρ | i − j | i ...
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Detection of Collinearity Effects on Explanatory Variables and Error Terms in Multiple Regressions
... Index Terms—Multicollinearity, predictor variable, standard error and multiple regression 1. INTRODUCTION Multicollinearity is an area that recently getting attention from researchers gradually as a results of the ...
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Analysis of Explanatory Variables of Rail Ridership: The Situation of Rio de Janeiro
... the variables incorporated in the bibliography, the ones potentially indicated to explain and rate the rail ridership, considering the characteristics and specificities of the suburban trains and stations of Rio ...
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Trauma exposure, posttraumatic stress disorder and the effect of explanatory variables in paramedic trainees
... demographic variables and trauma exposure in model 1. Model 3 contained the variables used in model 1 and model 2 with the addition of social support and ...demographic variables, trauma exposure, ...
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Explanatory Variables as Evidence for Precision in Intramuscular Long Acting Injections of Patients with Schizophrenia
... Most cases of schizophrenia are chronic conditions in which a continuous life-long drug dosing is often re- quired for the prevention of recurrence. If the symptoms can be controlled by drug therapy, the patients can ...
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The Explanatory Variables of Non-Performing Loans in Albania, During and After the Financial Crisis
... We expected a negative link with GDP growth, but it seems that its growth especially in the years during and immediately after the crisis has not been sufficient to affect the reduction of ...are expected ...
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Some Non-price Explanatory Variables in Fertiliser Demand: The Case of Irrigated Pakistan
... A statistically significant inverse relationship exists between farm size and fertiliser use per acre in all the provinces. The fertiliser use elasticities with respect to farm size are –0.0709, –0.0516 and –0.2579 in ...
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Construction of an Index by Maximization of the Sum of its Absolute Correlation Coefficients with the Constituent Variables
... the variables x j ; j = 1, ...other variables) is determined may be varied and usually has its own logic (Munda and Nardo, ...index variables such as literacy, life expectancy or income are weighted ...
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Detecting outlying variables in multigroup data: A comparison of different loading similarity coefficients
... measured variables by computing correlations between the component scores and these ...the variables behave similarly across the groups and thus that it makes sense to force the loadings and thus the ...
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How Can the Error Term Be Correlated with the Explanatory Variables on the R H S of a Model?
... if variables affect the economy through different hori- zons, even though the error term is not correlated with both the explanatory variables on the right-hand side ...estimated coefficients ...
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Robust detection of outliers in both response and explanatory variables of the simple circular regression model
... = µ 0 + Σβ i x i , by assuming that there is a set of circular independent and identically observations ϑ 1 , ϑ 2 , ..., ϑ n that follow von Mises distribution with mean direction µ 1 , µ 2 , ..., µ n and unknown ...
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Explanatory Power of Accounting Variables in Determining Share Price: The Case of Cement Industry of Pakistan
... The recent 10 years data has been taken form 6 listed companies of the cement industry; there are other cement companies which can be generalized by these results to some extent. Since the the scale of operations of the ...
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Personality and executive functioning as explanatory variables in media technology use and responsiveness to media technology
... continuous variables by media splits has drawbacks – reducing effect sizes and different categorisation and treatment of similar scores (MacCallum, Zhang, Preacher & Rucker , 2002) – however, results indicated ...
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Social Responsibility of Multinational Corporations to Train Their Personnel. An Evaluation of Explanatory Variables for a Telecommunications Company
... The Bucharest Academy of Economic Studies, Romania Abstract Corporate social responsibility in the field of employee-employer relation has enjoyed a growing attention in recent years. In this context, workplace training ...
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Chapter 8: Regression with Lagged Explanatory Variables
... Chapter Summary 1. Regressions with time series variables involve two issues we have not dealt with in the past. First, one variable can influence another with a time lag. Second, if the variables are non- ...
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Measurement errors in generalized linear model explanatory variables
... Under the assumption that response and explanatory variables follow a generalized linear model, estimating equations are derived for the case in which the explanatory variables are measu[r] ...
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