Literature review

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This paper is written to provide an explanation of the impact of different variables on education through the STATA regression analysis. This economic study is based on an academic study of American life and is designed to provide individual responses to students' academic concerns in a 2010 survey by Deseret News and the University of Chicago's North Center for Election Studies (About the GSS | NORC, 2020). conducted. especially what influenced them. The GSS is the primary source of researchers for American University academics providing a academic life and education system using cross-sectional data every year. Independent variables: tax, age, family income, and socio-economic disputes between spouses were perceived as major factors in higher education.

Literature review.

This section discusses the impact of the most important variables that can influence the demand factors for higher education in this part of paper. According to statistics, main factors that can effect higher education in society are tax, family income, social economic and age. Following these next four paragraphs each of the variables and their effect on wages.


Education is both capital and consumption. In social economy, there are some factor that can effect higher education such as tax. Return to Education Investment is higher opportunity and then the highest salary in life, and the profitability of that salary is reduced by income tax. This affects the relative attractiveness of education over other investment alternatives.

Therefore, income taxes affect the individual's education period (CVA, 2017). Different types

There are different rates of remuneration in education and can also affect tax

individual learning portfolio. Education costs include consumer consumption

Salaries in the educational process and future income not received

not choosing a high paying profession. In addition, income taxes reduce their amount

post-tax cost and this can affect the level of education consumption. The

Post-tax costs vary depending on the type of education

Different wages are different by types of education. So income tax can also be affected

an individual's education portfolio. It is important to determine the level of education not only the return of wages

investment (Scott-Clayton, 2020). I provide university of chicago with the most relevant education information

If your entire life income after tax is used to assess return on others, that may change

education level (Scott-Clayton, 2020).

Family income

A high level of family income was found to have a positive effect on student persistence and academic achievement. Although researchers differed in understanding this conclusion, a popular study found that students from low-income families were more likely to work than students from high-income families; more work hours are less than school hours. Those with access to government financial support usually had to negotiate a difficult process to obtain it. These financial pressures have led many low-income college students to drop out of school or drop out of school (Bozik, 2007; Leppel, 2002). (Walpol,2003) found that students from low socio-economic backgrounds were less likely to engage with academics because they were more engaged and less educated than students from high socioeconomic families Low-income students were more likely to attend low-income meetings. (Walpole, 2003) reported that higher-income students were more likely to study than low-wage (GPA) salaries. (Stinebrickner and Stinebrickner's, 2003) found that workers in low-income families were 18% more likely to take an effective six-semester exam than six semesters. (Nam and Huang, 2009) supported the data that family salaries and liquid resources significantly influenced school attendance and graduation rates.


There is much information about how students successfully complete by their ages. These are strictly related to the order of reading in the volume of age level. Primary role in university age critical skills and information, happiness, achievement of goals, achievement in after-school work and teaching (Gibson and Rankin, 2015). This specific purpose is simply a strong psychological development, a manual, and the enthusiastic well-being of the students underneath. Self-management manual is the ability to control emotions and practices. (Stevenson, n.d.) provided that emotional prosperity and self-directed instruction encourage a young child to be free, to control sadness, to focus on what is being said, to be flexible and stable; which encourages their reading discipline. Preschoolers are still developing and continuing their self-management skills (Gillespie and (Zaybel, 2006). deciding whether to do so.

Social economy

according to research on the Economic and Social Impact of Higher Education Research Funding In a world where money-making opportunities are highly dependent on the country's ability to create and apply new achievements, our colleges are very popular. Because we can be the first in the transformation of data for money, advanced education in the United States has to play a leading role in creating logical and innovative development and employee planning to meet emerging talent needs. (Stevenson, n.d.)
Over the past sixty years, the concerted efforts of business and industry, government and colleges have changed our overall lives.
(Stevenson, n.d.) College studies are generally believed to be highly sought after jobs in nearby, local and state economies. The college has extensive records on the impact of college business and state associations. In any case, no matter how intriguing it is, the degree and breadth of college and the job it plays in the Florida economy are poorly understood. Though Momentum estimates that college attendance is the least analyzed and understood, money making, profitability and profitability are one of the most important supporters of personal satisfaction.

Data description and Methodology

This section of the report provides information on education in the Survey. Besides, variables that may affect higher education in united states and the methodology for calculating them explained. Initially, purpose of this survey is that find variables and how effected education rate among people. The National Social Science Data Program has been conducted by NORC in 2010 with the support of the National Science Foundation at the University of Chicago. This program had two main purpose: To make important logical research on the structure and development of American culture and improvement of education. In this survey, education of united states are analyzed and during 2010 and what kind of variables effect education. Main variables are age, tax, family income and socioeconomic that are analyzed in this report. However, for accurate results, I filtered the data and received a variable that was only related to the overall data rating among the 4000 population. Regression calculations performed a regression analysis using the Ordinary least squares (OLS) in STATA 14.0. OLS is a common method for estimating linear regression in econometrics, which provides a statistical explanation of the causes between exogenous and endogenous values ​​and minimizes the sum of squared errors. In addition, three exogenous variables were observed to have the greatest impact on educational attainment: The Ordinary Least Squares (OLS) model looks like this:

Yi = β0 + βi Xi + Ui

In OLS, Yi is the dependent variable, β0 is a constant, β1 is a coefficient of a independent variable Xi , Ui means other independent variables is random.

In this case, model is looks like this form.

Higher education = β0 + β 1*income + β 2*age + β 3* socioeconomic + β 4* tax+ Ui

normality test for residuals

p-value is 0.0000 as a result residuals is normally distributed

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