How GDP Per Capita Influences Education Expenditures

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GDP per capita Among different factors that have influenced education expenditure, GDP per capita is the key indicator. The government sets the annual budget based on the level of GDP per capita, therefore low levels of GDP per capita result in a higher budget deficit empowered to boost the economy. For instance, (Strawczynski & Zeira, 2003) implied that education spending has risen significantly due to the population growth and increase in per capita income, when conducting a study for Israel for 1962-1998. Using cointegration regressions, a positive relationship was portrayed from the main economic variable, GDP per capita. GDP per capita together with population results in the effect of population being reduced, yet population remained positive. Adolph Wagner’s theory, The Wagner’s Law, is supported by a key paper (Busemeyer, 2007). The law became popular after previous work from key economists like Adam Smith, stating that over time as the economy develops, public expenditure should increase. The study explored 21 OECD democracies’ relationship between GDP per capita and public education expenditure from 1980-2001. Using different classifications of variables, he found that economic variable (GDP per capita) was positively associated with public education spending. However, during this time there were only 30 OECD members, excluding Israel. Yet, similar results are portrayed to (Strawczynski & Zeira, 2003). (Busemeyer, 2007) also marked that a country’s wellbeing has a substantial impact on education spending, in which a country with a strong economic development has opportunities for education expansions. When including country fixed effects, the law is not stipulated. (Lamartina & Zaghini, 2011) also agreed with The Wagner... ... middle of paper ... ...s matter hence there has not really been a debate whether the two expenditures are substitutive or complementary. (Morales, et al., 2013) and (Wolf & Zohlnhofer, 2009) had consistent results. They found a negative correlation between public and private education spending regardless of the given dependent variable. However, neither studies had reached a conclusion on whether the two expenditures substitute or complement each other, due to signs changing when various models were regressed. (Strawczynski & Zeira, 2003) also found a contrary relationship when seeing the impact of public spending on private education spending. Having run two models with different time periods had still resulted in a negative coefficient. The results were not surprising as they expected the relationship to be negative, as public and private education spending is complementary in Israel.

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