把这些东西放到菲律宾的环境中，到2006年，这个国家的穷人占总人口的32.9% (CIA, 2010)。利用我们从文献中所学到的，运用这些理论，我们知道，在32.9%的人口中，至少有一些人是在储蓄他们的收入，因为他们知道他们将需要它为将来的目的。但是，使用这样的理论和文献并不足以完全推翻和消除穷人无法拯救的普遍观念。为了进一步加强论证，我们必须从经验上量化这一点。因此，一个新的问题出现了:“我们如何将这些词付诸行动?”了解菲律宾穷人的数据并不是我们的主题，我们能做些什么呢?另一个问题是，我们如何对我们的论点进行建模，这样它就能真正显示出穷人的储蓄?在本文的这一部分，我们将回答这些问题。我们将解释如何收集我们将在模型中使用的数据的方法。此外，我们将更详细地讨论我们的模型，并概述我们对独立变量的先验期望。
Putting these things in the Philippine setting, as of the year 2006, the considered poor in the country makes up 32.9% of the whole population (CIA, 2010). Using what we learned from the literature and applying the theories, we know that there is at least some people in the 32.9% of the population who saves their income because they know that they will be needing it for future purposes. But using such theories and literature is not strong enough to completely disprove and eliminate the common notion that the poor cannot save. To further strengthen the argument, we must quantify this empirically.With this, a new problem arises: “How do we put these words into action?” Knowing that the data for the poor in the Philippines is not that complete in terms of our topic, what can we do about it? Another problem is that how can we model our argument such that it can really show that the poor people do save? In this part of the paper, we will be answering such problems. We will be explaining on the methods of how we are going to gather data that we will be using in the model. Also, we will discuss our model with greater detail and also outline our a-priori expectations of the independent variables.