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This model is estimated using Ordinary Least Squares (OLS) estimation.
The thicknesses were first estimated using ordinary kriging (OK).
Our basic specification is first estimated using Ordinary Least Squares to control for observable confounders.
In the first iteration, each point is assigned equal weight and model coefficients are estimated using ordinary least squares.
Table 3 reports the wage effects of diversity and other covariates estimated using ordinary least squares (OLS) and fixed effect (FE) models.
To analyse the impact of Seguro Popular on the amount of private transfers received, i.e. the intensive margin, Eq. (1) is estimated using ordinary least squares (OLS).
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We present multivariate estimates using ordinary least squares (OLS) regression, and estimates based on PSM.
*Heteroscedaticity robust covariance matrix estimate (using Ordinary Least Squares) (standard deviation between brackets).
Tobit regression was used to account for censoring of the characteristically bounded nature of health state values that can result in biased and inconsistent estimates using ordinary least-squares regression [ 18- 20].
Equation (2) is first estimated using the Ordinary Least Squares (OLS) procedure.
Thus the following equation shall be estimated using the ordinary least square method.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com