Lukongo Onyumbe Enumbe B, Miller Thomas W
Southern University and A & M College, Baton Rouge, LA, USA.
Mississippi State University, Mississippi State, MS, USA.
Data Brief. 2018 Apr 12;18:1257-1266. doi: 10.1016/j.dib.2018.04.027. eCollection 2018 Jun.
The data presented in this study were obtained from a novel approach to estimate a comprehensive loan acquisition cost. The latter includes commute costs and wage losses in addition to the monthly installment payments. These cost estimates represent the monetary value (in U.S. dollars) of the costs of driving to and from the installment lender storefront and that of the potential hourly wage losses, that is, wage loss from the driving time and the time spent at the loan office filling out the required paperwork to obtain the loan. Borrowers only get the net loan proceeds, that is, the original loan amount minus the comprehensive loan acquisition costs. The study area has 160 counties. It was created from the ESRI ArcGIS Map (a mapping software) using the spatial data from the U.S. Census, Topologically Integrated Geographic Encoding and Referencing (TIGER) Cartographic boundary files representing the geographies of states and counties. Using the U.S. road networks, the origin of the trip is a county seat in Arkansas and the destination of the trip is a county seat in a surrounding state of Tennessee, Mississippi, Louisiana, Texas, Oklahoma, and Missouri. The transportation networks were established using Google Earth/Directions to efficiently measure the travel time (distance). The average cost of a trip of 17 cents (U.S. dollar) was calculated based on the U.S. Department of Transportation Survey data, which identify important attributes of a typical vehicle used in a county such as model make, age of the vehicle, fuel consumption, etc. There are 10 occupational industry sectors where a typical borrower has a job. To estimate wage loss, the data were gathered from the U.S. Department of Labor, Bureau of Labor Statistics, namely, the Occupational Employment Statistics. Putting the missing pieces together, the data contain in this study improve our understanding of extra costs borne by borrowers located in the "loan desert" area. As expected, interior counties post high loan acquisition costs compared with border counties. The data from this study are useful to the public, businesses, policymakers, and researchers working on consumer finance.
本研究中呈现的数据来自一种估算综合贷款获取成本的新方法。后者除了每月分期付款外，还包括通勤成本和工资损失。这些成本估算代表了往返分期付款贷款机构店面的驾驶成本以及潜在的每小时工资损失的货币价值（以美元计），即驾驶时间和在贷款办公室填写获取贷款所需文件所花费时间造成的工资损失。借款人仅获得净贷款收益，即原始贷款金额减去综合贷款获取成本。研究区域有160个县。它是使用美国人口普查的空间数据、代表各州和县地理信息的拓扑集成地理编码与参照（TIGER）制图边界文件，从ESRI ArcGIS地图（一种制图软件）创建的。利用美国道路网络，行程起点是阿肯色州的一个县城，行程终点是田纳西州、密西西比州、路易斯安那州、得克萨斯州、俄克拉何马州和密苏里州等周边州的一个县城。使用谷歌地球/路线功能建立交通网络，以有效测量出行时间（距离）。根据美国运输部的调查数据计算出单次行程的平均成本为17美分，该数据确定了一个县中典型车辆的重要属性，如车型、车龄、油耗等。典型借款人从事工作的职业行业部门有10个。为估算工资损失，数据收集自美国劳工部劳工统计局，即职业就业统计数据。综合各项数据，本研究中的数据增进了我们对位于“贷款荒漠”地区借款人所承担额外成本的理解。正如预期的那样，内陆县的贷款获取成本相比边境县更高。本研究的数据对致力于消费金融的公众、企业、政策制定者和研究人员有用。
