Regression Analysis
In statistical modeling, regression analysis is a set of statistical processes for estimating the relationships between a dependent variable (often called the 'outcome variable') and one or more independent variables (often called 'predictors', 'covariates', or 'features'). The most common form of regression analysis is linear regression, in which a researcher finds the line (or a more complex linear combination) that most closely fits the data according to a specific mathematical criterion. For example, the method of ordinary least squares computes the unique line (or hyperplane) that minimizes the sum of squared differences between the true data and that line (or …
WikipediaPublications
Cato Institute · 14 November 2024 English
Public colleges have two main sources of income to fund their educational activities--direct state funding (often called appropriations) and tuition revenue. This study documents the history of these revenue sources …
long-term trend in state funding is to use regression analysis. Figure 1 shows inflation-adjusted state …
World Bank Group · 12 November 2024 English
Against the backdrop of aging, Indonesia has started to address important policy challenges, including by gradually raising the retirement age. However, the increase in the retirement age and the prospect …
persons across provinces. However, unlike regression analysis, it does not take into account other factors … relationships will be analyzed more rigorously using regression analysis to draw more conclusive findings. 5.2 … and younger persons Findings from the regression analysis generally find positive relationships between …
World Bank Group · 11 November 2024 English
The COVID-19 pandemic and associated school closures led to significant learning disruption around the world (Patrinos, 2023; Schady et al, 2023), and there is a need to understand the relationship …
Students’ Learning Outcome by Year Table 5. HLM Regression Analysis of School and Individual Factor on Learning … and after the pandemic, calculated using regression analysis with weighted methods and standard errors … and after the pandemic, calculated using regression analysis with weighted methods and standard errors … school demographics across institutions. Regression analysis, using weighted methods and clustering standard … school demographics across institutions. Regression analysis, using weighted methods and clustering standard …
DIIS: Dansk Institut for Internationale Studier · 11 November 2024
Trends in NDCs All countries in Sub-Saharan Africa have submitted Nationally Determined Contributions (NDCs) as part of their respective commitments to climate action, and it is envisaged that the financing …
13 P-value= 0.08. 14 Multiple regression analysis, which controlled for non-hydro renewables’ … components in the 15 P=0.02. 16 Multiple regression analysis, which controlled for non-hydro renewables’ …
IMF: International Monetary Fund · 8 November 2024 English
Growth gathered momentum in 2023 on the back of recovering external demand, but exchange rate depreciation continues and inflation remains persistently high. Labor and FX shortages are intensifying. Public debt …
correlated with inflation. 1. Regression analysis accounts for both domestic and external factors …
NBER: National Bureau of Economic Research · 7 November 2024 English
This paper examines the impact of industrial policies (IPs) on innovation in the global automobile industry. We compile the first comprehensive dataset linking global IPs with patent data related to …
Intervention ID may appear up to three times in the regression analysis if it impacts multiple fuel types. This approach … number of patents, as used in the subsequent regression analysis. Panel (a) of Appendix Figure A.5 shows the …
NBER: National Bureau of Economic Research · 7 November 2024 English
Many multinational firms (MNEs) pay low or no corporation tax in high-tax countries because they shift taxable income to tax havens. We incorporate nonconvex costs of profit shifting and unobserved …
estimates from the literature, obtained from a regression analysis that ignores zero-taxable income reporters … would be equivalent to those obtained from a regression analysis that ignored the zero-taxable income reporters …
NBER: National Bureau of Economic Research · 7 November 2024 English
Analysis of population aging is typically framed in terms of chronological age. However, chronological age itself is not necessarily deeply informative about the aging process. This paper reviews literature and …
economic research, we conduct correlational regression analysis testing the use of chronological age and … pace at which people age. We then conducted regression analysis to test the extent to which chronological …
NBER: National Bureau of Economic Research · 7 November 2024 English
Over the last 200 years, economies have accumulated significant experience in managing capital flows in the face of globalization. This study examines management of capital flows since the 1800s with …
actual weights of basket pegs20 by using regression analysis to estimate the relative weighting of the …
NBER: National Bureau of Economic Research · 7 November 2024 English
The Trump Administration's tariffs created a wedge between mutually beneficial trades between China's producers and U.S. consumers. Moving production to nearby Vietnam allows firms to jump the tariff wall. Within …
summary statistics for all variables used in regression analysis except for the fixed effects. The table arranges …