Factors affecting gdp per capita - Apply Bayesian analysis

GDP per capita is often used by economists to measure the standard of living people in each country. This paper analyzes some indicators affecting level capita, including average labor productivity, percentage trained workers working age, unemployment rate force increase investment whole society. With application Bayesian linear regression analysis method, results show that factor age has highest impact on capita. The second impact, and with least this study Labor productivity. Except for which a negative other factors positive also suggest besides maintaining low rate, government needs pay attention raising proportion improving policies investing more education training, thereby productivity leading an improvement people's standards.