- #1
Ecomath
- 2
- 0
Hello,
I'm a second year mathematics and economics student, and I've been hired by an economic development organisation to conduct a research project on the probability of loan default in micro-credit borrowers in rural Kenya (I'll be heading there in person this summer).
Basically, I'll be combing through a partner micro-finance institution's data on previous loan recipients in order to identify factors that might indicate a heightened risk of default. For example, whether female clients are more reliable than male clients; or perhaps whether clients with more education are safer than those with less.
Since I'm quite early in my degree, I haven't had a formal introduction to regression analysis. I understand the basic concepts of probability and variance, but I'm seriously lacking in detail.
I expect them to train me on the statistics needed, but I'm looking to get a head start. For a project such as this, what tools will I need to analyse the data appropriately (to identify and then test the strength of these relationships)? And are there any books you'd recommend?
Cheers,
Ecomath
I'm a second year mathematics and economics student, and I've been hired by an economic development organisation to conduct a research project on the probability of loan default in micro-credit borrowers in rural Kenya (I'll be heading there in person this summer).
Basically, I'll be combing through a partner micro-finance institution's data on previous loan recipients in order to identify factors that might indicate a heightened risk of default. For example, whether female clients are more reliable than male clients; or perhaps whether clients with more education are safer than those with less.
Since I'm quite early in my degree, I haven't had a formal introduction to regression analysis. I understand the basic concepts of probability and variance, but I'm seriously lacking in detail.
I expect them to train me on the statistics needed, but I'm looking to get a head start. For a project such as this, what tools will I need to analyse the data appropriately (to identify and then test the strength of these relationships)? And are there any books you'd recommend?
Cheers,
Ecomath