OLS hedonic regression results for 2007 to 2013 sample
Bridging logistic and OLS regression
... the results of a logistic regression by estimating the female and male probabilities, keeping the values of the rest of independent variables equal to their average value, and subtracting the ...the ...
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Bridging logistic and OLS regression
... the results of a logistic regression by estimating the female and male probabilities, keeping the values of the rest of independent variables equal to ...
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Although ordinary least-squares (OLS) regression
... Given these inconsistencies, Hocking (1996, p. 178) notes: ‘It is natural to ask if there is a measure analogous to R 2 for the no-intercept model. We suggest the square of the sample correlation between observed ...
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The Role of "Leads" in the Dynamic OLS Estimation of Cointegrating Regression Models
... The regression form in (5) is obtained by inserting (9) into ...finite sample performance of the dynamic OLS estimator without leads, we conduct a Monte Carlo ...
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Comparison of Parametric (OLS) and Non-Parametric (THEIL’S) Linear Regression
... squares regression method for fitting an equation into a set of (x,y)-data points using the Anderson-Darling ...Theil’s regression. It is concluded that the parametric OLS is better than its non- ...
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Incidence and regression of metabolic syndrome in a representative sample of the Spanish population: results of the
... MetS regression are more likely to be successful in the population that has fewer MetS components, and in particular those who do not have hypertension, hypertriglyceridemia or a normal weight with peripheral fat ...
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Bias and Inefficiency in Quality-Adjusted Hedonic Regression Analysis
... quality-adjusted hedonic price ...estimation results are presented in Section ...estimated results are compared with an officially published price trend for laser ...
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Determinants of House Prices in Turkey : A Hedonic Regression Model
... Conclusions Hedonic model examines the effect of characteristics of goods on their ...areas. Hedonic regression model is employed in the ...the hedonic model. The results of the ...
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Identification with averaged data and implications for hedonic regression studies
... Fortunately, hedonic regression studies typically meet the requirements for consistent estimation by weighted least ...of hedonic regression models, there are other empirical studies in which ...
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Identification with Averaged Data and Implications for Hedonic Regression Studies
... Fortunately, hedonic regression studies typically meet the requirements for consistent estimation by weighted least ...of hedonic regression models, there are other empirical studies in which ...
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Asymptotic Efficiency of the OLS Estimator with Singular Limiting Sample Moment Matrices
... 1 INTRODUCTION Discussion of the asymptotic efficiency of regression coefficients on time series models dates from the middle of the 20th century. When the regressors are deterministic functions of time such that ...
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Physical exercise and social inequality in Norway: a comparison of OLS and quantile regression analysis
... to OLS regression in that it results in a model where the value of a dependent variable is conditioned on the values of one or more independent ...that OLS regression is based on the ...
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Using Quantile Regression in Hedonic Analysis to Reveal Submarket Competition
... 4. Results on Exhibit 2a suggest Type B young professionals, often with young families, value location conveniences as the particular feature they value strongly enough to make them competitive in this real estate ...
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Modelling housing prices in Singapore applying spatial hedonic regression
... 4.3.5 Model E: HDB sale transaction Model E is specified as a log-log model with the logarithm of the unit price as depen- dent variable. It includes 32’235 observations and 21 explanatory variables. Table 25 shows the ...
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Empirical Determination of the Tolerable Sample Size for Ols Estimator in the Presence of Multicollinearity (ρ)
... the sample if the presence of multicollinearity is due to errors of measurement as well as when intercorre- lation happens to exist only in our original sample but not in the population ...tolerable ...
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An investigation into the effectiveness of hedonic features in regression models for domestic rental prices
... a hedonic regression model was designed using the American Community Survey ...the hedonic regression models were also ...visualising results was also ...
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Quantile Regression in the Presence of Sample Selection
... of sample selection: the variables of interest are only observed for a non-random subsample of the ...non-random sample selection is one of the most important innovations in microeconometrics, as ...
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Sample Selection Bias and Time Instability of Hedonic Art Price Indexes
... to hedonic modeling, art prices are regressed on a set of time-varying and time-invariant variables, as well as on a series of time dummies – the period t dummy is equal to one if the item is sold in period t and ...
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at the domestic box office? The authors used an OLS regression model on data set of 497 films
... first regression, several variables were removed from the model because of the nature of the data ...the sample was adaptations or original works, thus earning a value of ...
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Consumer ratings and the pricing of experience goods: hedonic regression analysis of beer prices
... econometric results presented in this study suggest that manufacturers and re- tailers of experience goods, such as beer, should encourage the further development of “ information markets ” where consumers are ...
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