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ordinary least square (ols) regressions  (STATA Corporation)


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    STATA Corporation ordinary least square (ols) regressions
    Ordinary Least Square (Ols) Regressions, supplied by STATA Corporation, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/ordinary+least+squares+(ols)+regressions/ordinary+least+squares+regression/10__1016_slash_j__jbusres__2024__115059-391-13-17
    Average 90 stars, based on 1 article reviews
    ordinary least square (ols) regressions - by Bioz Stars, 2026-10
    90/100 stars

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    other:

    Article Title: The power of relative performance information in competing communications
    Article Snippet: The public administration literature has long recognized the importance of reference points in interpreting performance information.. However, little is known about whether invoking reference points can change citizens’ perceptions of performance in competitive information environments.. Across three survey experiments with Chinese respondents, we showed that providing informational cues about China outperforming other countries improve citizens’ ratings of government performance.

    Article Title: Scratch Where It Itches: Electronic Sharing of Health Information and Costs.
    Article Snippet: Table 2 shows the main results of our ordinary least squares (OLS) regression analyses based on STATA software regarding the effect of information sharing within and outside the system.

    Article Title: Greenwashing behavior and firm value – From the perspective of board characteristics
    Article Snippet: Correspondence Pengyu Chen, Department of Economics, College of Business and Economics, Dankook University, Yongin-si, 16890, South Korea.. Email: cpy702018@163.com Abstract With increasing environmental pressures on companies, they are beginning to disclose corporate social responsibility reports actively.. However, some studies point to greenwashing in corporate social reporting as a cause for concern.

    Article Title: Mental health inequality between urban and rural youth under COVID-19 from survey data from China
    Article Snippet: This study applied the ordinary least squares regression (OLS) model, and data analysis was performed using STATA.

    Article Title: The protective role of school connectedness in the relationship between child maltreatment and internalizing symptoms for White, Black, Latino/Hispanic, and multiracial youth.
    Article Snippet: Ordinary Least Squares (OLS) multiple regression was conducted using Stata V. 17.0 to regress three different indicators of youth internalizing symptoms on maltreatment subtypes and school connectedness while controlling for covariates.

    Software:

    Article Title: Public Perceptions of Climate Change: A Socio-Political Approach
    Article Snippet: .. Ordinary least squares (OLS) regression analysis will be utilized for this research by using the STATA statistical software with several regression models. ..

    Article Title: Shift in house price estimates during COVID-19 reveals effect of crisis on collective speculation
    Article Snippet: .. In short, we apply ordinary least squares (OLS) regression using STATA 13.0 software to estimate the following model for a specific region, Yh,m = δTE(Ih,ForSale × Tm) + β · X + γ · I + , (7) where X (respectively, I) represents a battery of continuous (respectively, factor) controls, and the DiD interaction term δTE(Ih,ForSale × Tm) captures the difference between the two property types (specified by the binary indicator variable Ih,ForSale) across the two periods (specified by the binary indicator Tm). ..

    Generated:

    Article Title: The Effects of Oil and Non-Oil Export Revenue on Income Inequality in Angola
    Article Snippet: .. The estimated β coefficients are generated using the Ordinary Least Squares (OLS) regression option in the STATA software. ..

    Battery:

    Article Title: Shift in house price estimates during COVID-19 reveals effect of crisis on collective speculation
    Article Snippet: .. In short, we apply ordinary least squares (OLS) regression using STATA 13.0 software to estimate the following model for a specific region, Yh,m = δTE(Ih,ForSale × Tm) + β · X + γ · I + , (7) where X (respectively, I) represents a battery of continuous (respectively, factor) controls, and the DiD interaction term δTE(Ih,ForSale × Tm) captures the difference between the two property types (specified by the binary indicator variable Ih,ForSale) across the two periods (specified by the binary indicator Tm). ..



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