Veterinary Student Debt

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Introduction There has been speculation over the past several years that Doctors of Veterinary Medicine (DVM) graduates have been growing in number while veterinary job growth is not. This is an argument of supply and demand. Essentially the concern is with a larger workforce looking for a few jobs, wages cannot grow as rapidly. When considering this and looking at the consistent increase in costs of veterinary education new graduates are finding themselves with an almost unmanageable debt to income ratio. As with many college students, it is common for a veterinary student to accumulate student loan debt while at the same time foregoing earning a salary. This means that a veterinary student has decided to invest in achieving a higher degree …show more content…

Data All data was obtained from a research study conducted by the American Veterinary Medical Association (AVMA). This study surveyed fourth year veterinary students from 2001-2014. The information was obtained by survey and the surveys were self reported. This is the most extensive gathering of data on veterinary graduates to date. The interest variable is the total veterinary student loan debt and using the consumer price index, inflation is adjusted to 2010 US. The surveys totaled 29,753 from 2001 through 2014. The study then dropped 330 surveys due to missing or incomplete data making the final sample 29,423. Methods Over the study period the average student loan debt increased but not all students needed to borrow money for their education. Of the reporting sample, 14% of students acquired no debt during their education. The below figure shows the different distribution of values for loan debt. A two part hurdle model was used to account for zeros within the sample. This two part model considers positive values of the dependent variable as a participated observation. Non-participants are observations of …show more content…

Additionally male students were found to be less likely to borrow for their education (p=0.021). Students with a child were more likely to borrow for their education (p<0.001). Cost variations between universities were controlled which allows the evaluation of debt level between in-state and out-of-state students. The variable for in-state students was significant (p<0.001). In-state students were found to accumulate approximately 20.33% less debt on average than out-of-state students. There are additional factors that can be used to better explain the remaining variation. For example students who looked for work prior to graduating had approximately 3.6% more debt on average than those who did not look for a job (p=0.091). Additionally the data shows that the variables for employment, age, gender, and marital status were statistically significant (p<0.001). Males were found to accumulate 4.3% less debt than females on average. The reason for this statistic’s importance is that as of 2014, the female population of graduates was nearly 80%. Finally the data showed that married students are 7.1% more likely to graduate with less student debt than their single

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