Probit

Results: 293



#Item
31

0.1 chopit: Compound Hierarchical Ordered Probit for Survey Vignettes The Compound Hierarchical Ordered Probit (chopit) model corrects for “differential item

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Source URL: perso.md2t.eu

Language: English
    32

    0.1 bprobit: Bivariate Logistic Regression for Two Dichotomous Dependent Variables Use the bivariate probit regression model if you have two binaryrun dependent variables (Y1 , Y2 ), and wish to model them jointly as a

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    Source URL: perso.md2t.eu

    Language: English
      33

      0.1 oprobit: Ordinal Probit Regression for Ordered Categorical Dependent Variables Use the ordinal probit regression model if your dependent variables are ordered and categorical. They may take on either integer values

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      Source URL: perso.md2t.eu

      Language: English
        34Statistical models / Estimation theory / Analysis of variance / Linear regression / Fixed effects model / Probit model / Random effects model / Linear model / Normal distribution / Statistics / Regression analysis / Econometrics

        0.1 probit.mixed: Mixed effects probit Regression Use generalized multi-level linear regression if you have covariates that are grouped according to one or more classification factors. The probit model is appropriate wh

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        Source URL: perso.md2t.eu

        Language: English - Date: 2011-03-08 17:52:46
        35Stochastic frontier analysis / Rice / Inverse Mills ratio / Dummy variable / Probit model / Statistics / Regression analysis / Econometrics

        Resource use efficiency with self-selectivity: an application of a switching regression framework to stochastic frontier models Sanzidur Rahman1 Address for Correspondence:

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        Source URL: www.socialsciences.manchester.ac.uk

        Language: English - Date: 2014-03-24 05:38:04
        36Econometrics / Logistic regression / Logit / Ordered probit / Poisson regression / Multinomial logit / Linear probability model / Statistics / Regression analysis / Categorical data

        0.1 ologit: Ordinal Logistic Regression for Ordered Categorical Dependent Variables Use the ordinal logit regression model if your dependent variable is ordered and categorical,

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        Source URL: perso.md2t.eu

        Language: English - Date: 2011-03-08 17:52:46
        37Estimation theory / Single equation methods / Actuarial science / Linear regression / Probit model / Sub-Saharan Africa / Probit / Fixed effects model / Errors and residuals in statistics / Statistics / Regression analysis / Econometrics

        Customer Discrimination and Employment Outcomes: Theory and Evidence from the French Labor Market: Online Appendix June 2013

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        Source URL: www.morgane-laouenan.fr

        Language: English - Date: 2013-10-22 06:15:05
        38Regression analysis / Instrumental variable / Social capital / Intelligence quotient / Univariate / Probit / Health / Dummy variable / Confounding / Statistics / Econometrics / Economics

        Social Participation, Religion, and Health: Exploring the Endogeneity Issue at the Individual Level

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        Source URL: www.irdes.fr

        Language: English - Date: 2014-11-13 05:48:14
        39Categorical data / Real estate / Urban economics / Dummy variable / Logistic regression / Ordered probit / Real estate economics / Probit / Logit / Statistics / Regression analysis / Econometrics

        International Real Estate Society Conference 1999 Co-sponsors: Pacific Rim Real Estate Society (PRRES) Asian Real Estate Society (AsRES) Kuala Lumpur, 26-30 JanuaryESTIMATING THE PROBABILITY OF A FIRST, SECOND OR

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        Source URL: www.prres.net

        Language: English - Date: 2012-09-18 04:16:12
        40Probit / Dummy variable / Logit / Multinomial logit / Average treatment effect / Linear regression / Normal distribution / Resampling / Limited dependent variable / Statistics / Econometrics / Regression analysis

        Title stata.com teffects ipwra — Inverse-probability-weighted regression adjustment Description Options

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        Source URL: www.stata.com

        Language: English - Date: 2015-06-10 15:14:03
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