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Showing 1 to 20 of 120 for “"OLS regression"”.
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Reporting Methods and Analyses in Higher Education Research: Hierarchical Linear and OLS Regression Models
… of studies using hierarchical linear and OLS regression models. The study consisted of three parts: (a) a citation analysis of sources associated with methods of hierarchical linear models, (b) a content analysis of reporting practices associated with studies that used hierarchical linear …
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Structural equation modeling compared with ordinary least squares in simulations and life insurers’ data
… focusing especially the comparison of SEM and OLS regression. A simple tutorial of how to apply SEM is also included with the introduction and comparison. SEM can be roughly seen as OLS regression added with features such as simultaneous estimation, latent factors and autocorrelation. …
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Repression, Elections, and Competitiveness in Competitive Authoritarian Regimes
… liberties. Both comparative case studies and OLS regression are used to investigate repression levels over time. I observe from the comparative case studies that repression is not a tool often used by these competitive authoritarian regime incumbents. This observation is further reinforced by …
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The Impact of Groundnut Production and Marketing Decisions upon Household Food Security Among Smallholder Farmers in Sub-Saharan Africa: Does Gender Matter?
… groundnut production and marketing levels. An OLS regression estimates the relationship between the food consumption score and measures of cash cropping intensity and other cash crop production decisions. Apart from the OLS regression, a tobit model is employed to estimate the gender effects on …
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The impact of capital market development on economic growth among MENA region countries
… were analysed using Ordinary Least Squares (OLS) regression to examine the capital market development and economic growth relationship for the four countries. Pooled OLS regression analysis was adopted to examine the effects of development of the capital market on the economic growth of the …
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The Disobedient Prisoner: A Racial Comparison of the Level of Punishment Prescribed to Inmates for Rule Violations
… type, the sample size was 652. First, an OLS regression was used in three models, which showed that major rule violations had a significant effect on the type of punishment an inmate received, but race did not. Second, age groups were employed to run an OLS regression within each of the …
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Econometrics analysis of Weak form efficiency and Calendar effects in Dar es salaam Stock Exchange
… two econometric models: Ordinary Least Square (OLS) regression model and the Generalized Autoregressive Conditional Heteroscedastic - GARCH (1,1) model. The results of all statistical tests employed showed that the Dar es Salaam Stock Exchange (DSE) was a weak form inefficient market for the …
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State-Level Fiscal Policy and Economic Growth: Assessing Recovery from the 2007 Recession
… spending at achieving economic growth. Using OLS regression models to test the impact of government spending, institutional constraints, and economic policy climates on economic growth, this research shows that government spending has a positive impact on growth that decreases into a negative …
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Math Ability and Gendered Self-Perceptions
… high school sophomores. Ordinary least squares (OLS) regression is used to examine how strongly gender predicts self-perceived math ability, and the extent to which this relationship has changed over time. Secondly, OLS regression is used to determine whether or not the strength of gender as a …
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Math Ability and Gendered Self-Perceptions
… high school sophomores. Ordinary least squares (OLS) regression is used to examine how strongly gender predicts self-perceived math ability, and the extent to which this relationship has changed over time. Secondly, OLS regression is used to determine whether or not the strength of gender as a …
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Redevelopment option value for industrial property
… private property market. Starting from simple OLS regression, we observed a reverse causality phenomenon between property sales price and a dummy variable of the intention to redevelop the property, in which the redevelopment flag was associated with lower priced properties. The journey then …
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Market Betas on the JSE: Factor selection, estimation and empirical evaluation
… the case for the use of Reduced Major Axis (RMA) regression over the traditional Ordinary Least Squares (OLS) approach. A number of characteristics are assessed when arriving at this conclusion. Importantly, it is shown that the traditional OLS regression method chronically underestimates the …
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Key Performance indicator disclosures by large UK private and public listed companies.
… and tested using the Ordinary Least Squares (OLS) regression method to determine whether corporate governance and company specific characteristics are associated with the extent of KPIs disclosure by private, public listed and the pooled companies. In terms of the extent of disclosure, the …
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Robustheit metrischer und nichtmetrischer Conjoint-Analyse auf der Grundlage simulierter Präferenzdaten
… CA), wird hierfür auch konventionelle OLS-Regression benutzt (metrische CA), obwohl dabei eine Verletzung de Modellannahme metrischer Qualität der abhängigen Variablen gegeben ist. Die vorliegende Simulationsstudie vergleicht LINMAP - ein Verfahren nichtmetrischer CA - und metrische CA, …
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College Students’ Punitive Attitudes toward Five Types of Sex Offenders: Examining Factors that Influence Punitive Preferences
… characteristics. Through ordinary least squares (OLS) regression analysis, significant effects of various factors on punitive attitudes were found for each type of sex offender.</p>
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Analyzing the Effects of Preprimary Broadcast Media on Presidential Nominations from 1980-2016
… process, and if so in what way? Several OLS regression models, based on Randall Adkins and Andrew Dowdle’s Presidential nomination forecasting models, were created as an attempt to not only find a statistically significant effect between broadcast media and aggregate vote percentage, but …
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Cape Town Airbnb price prediction: an exploration of spatial statistic and machine learning methods
… heterogeneity, and traditional models such as OLS regression do not account for this spatial dependence, however, it is addressed by spatial models. By accounting for spatial effects, model predictive performance does improve, but not so much as to outperform non-spatial, non-linear machine …
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The impact of environmental accountability on firm corporate lobbying behaviour: an empirical investigation of US listed firms
… performance, this study conducted a pooled OLS regression model and found that high lobbying firms have greater commitment to the environment as now need to get back-up on their feet after suffering from being poor performers; demonstrating commitment towards improving their relationship to …
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A Geospatial Approach for New Perspectives on Satisfaction with Health Services in Malawi
… in the country. Spatial autocorrelation and regression modeling techniques were applied on the national representative data set.</p> <p>The spatial autocorrelation test revealed that districts in the southern region indicated higher than the mean level of user satisfaction with health …
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A Directed Acyclic Graph Demonstrating The Effects Of Population Aging On Saving And Interest Rates In Europe
… labor supplies and increasing dependency ratios. OLS regression models from the literature are then compared to causal chains drawn in the DAG to determine where these models may have improperly specified causal relationships.
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