Credit borrowing constraints in a DSGE framework: income vs. housing

Credit market in Brazil distinguishes from advanced economies in many aspects. One of them is related to collaterals for households borrowing. This work proposes a DSGE framework, based on Gerali et al.(2010), to analyse one pecularity of Brazillian credit market: payroll-deducted personal loans. To original model, we added the possibility to households contract long term debt and compare to differents types of credit constrains: one based on housing and other based on future income. We callibrate and estimate the model to Brazil, using Bayesian technique. Results show that, in a economy where credit constraints are based on income, responses to shocks appear to be stronger, at first, but dissipate faster. This occurs because income responds quickly to shock than housing prices, so does amount available to loans. In order to smooth consumption, agents compensate lower income and borrowing by increasing working hours, restoring loans and debt in a shorter time.

Agricultural Credit Market Institutions: A Comparison of Selected European Countries. Factor Markets Working Paper No. 33, January 2013

This paper describes and compares the institutional framework of the agricultural credit markets in selected European countries. The institutions can be both formal (rules, regulations, authorities and actors) and informal (norms, values and relations). They also interact and in situations where the formal institutions are weak, the informal ones increase in importance. The study is based on a questionnaire sent to agricultural financial experts in selected countries. The case studies show that credit regulations are typically general, with no specific regulations for the agricultural credit market. On the other hand, several countries support agricultural credit in various forms, implying that the governments do not perceive the general credit market to function in the case of agricultural firms. In a risk assessment, the most frequent reasons for rejecting a loan application are all linked to economic performance and the situation of the farmer. Personal characteristics, such as educational level or lack of experience, were generally perceived as less influential. Another interesting point when it comes to risk assessment is that in some countries the importance of asset-based lending compared with cash flow-based lending seems to differ when concerning a first-time applicant and when there is an application to extend a loan. To get an idea of the availability of credit, the loan-to-value (LTV) ratio was calculated, and it showed remarkably low values for Poland and Slovakia. For all the countries, the calculated value was lower than what the financial experts would have expected. This might imply credit rationing in agriculture in some of the countries studied. The financial experts all judged the possibility of an agricultural firm obtaining a loan as higher than that for other small rural firms, implying that the latter are also credit-rationed.

Profiteering in a non-profit industry : abusive practices in credit counseling : hearing before the Permanent Subcommittee on Investigations of the Committee on Governmental Affairs, United States Senate, One Hundred Eighth Congress, second session, March 24, 2004.

Shipping list no.: 2005-0006-P.

Do you speak "credit"? : when you sign a loan contract you may be agreeing to some strange things.

Mode of access: Internet.

The consumer finance industry. A monograph prepared for the Commission on Money and Credit.

Includes bibliography.

Essays on Personal Bankruptcy Law and Small Business Financing

Thesis (Ph.D.)--University of Washington, 2016-06

Essays in Personal Transportation Demand and Consumer Finance

This dissertation is composed of three essays covering two areas of interest. The first topic is personal transportation demand with a focus on price and fuel efficiency elasticities of mileage demand, challenging assumptions common in the rebound effect literature. The second topic is consumer finance with a focus on small loans. The first chapter creates separate variables for fuel prices during periods of increasing and decreasing prices as well as an observed fuel economy measure to empirically test the equivalence of these elasticities. Using a panel from Germany from 1997 to 2009 I find a fuel economy elasticity of mileage of 53.3%, which is significantly different from the gas price elasticity of mileage during periods of decreasing gas prices, 4.8%. I reject the null hypothesis or price symmetry, with the elasticity of mileage during period of increasing gas prices ranging from 26.2% and 28.9%. The second chapter explores the potential for the rebound effect to vary with income. Panel data from U.S. households from 1997 to 2003 is used to estimate the rebound effect in a median regression. The estimated rebound effect independent of income ranges from 17.8% to 23.6%. An interaction of income and fuel economy is negative and significant, indicating that the rebound effect may be much higher for low income individuals and decreases with income; the rebound effect for low income households ranged from 80.3% to 105.0%, indicating that such households may increase gasoline consumption given an improvement in fuel economy. The final chapter documents the costs of credit instruments found in major mail order catalogs throughout the 20th century. This study constructs a new dataset and finds that the cost of credit increased and became stickier as mail order retailers switched from an installment-style closed-end loan to a revolving-style credit card. This study argues that revolving credit's ability to decrease salience of credit costs in the price of goods is the best explanation for rate stickiness in the mail order industry as well as for the preference of revolving credit among retailers.

Domain-driven classification based on multiple criteria and multiple constraint-level programming for intelligent credit scoring

Extracting knowledge from the transaction records and the personal data of credit card holders has great profit potential for the banking industry. The challenge is to detect/predict bankrupts and to keep and recruit the profitable customers. However, grouping and targeting credit card customers by traditional data-driven mining often does not directly meet the needs of the banking industry, because data-driven mining automatically generates classification outputs that are imprecise, meaningless, and beyond users' control. In this paper, we provide a novel domain-driven classification method that takes advantage of multiple criteria and multiple constraint-level programming for intelligent credit scoring. The method involves credit scoring to produce a set of customers' scores that allows the classification results actionable and controllable by human interaction during the scoring process. Domain knowledge and experts' experience parameters are built into the criteria and constraint functions of mathematical programming and the human and machine conversation is employed to generate an efficient and precise solution. Experiments based on various data sets validated the effectiveness and efficiency of the proposed methods. © 2006 IEEE.

Small amount credit contract reforms in Australia: household survey evidence & analysis

A review of small amount credit contract regulation in Australia began in 2015 as mandated under s 335A of the National Consumer Credit Protection Act 2009 (Cth). The review panel sought comprehensive data on industry and consumer characteristics and trends. To provide such evidence, consumer groups commissioned original empirical research using data collected from a longitudinal survey that monitors the financial position and attitudes of Australian households. This data on household use of small amount credit contract loans was extracted for the last decade, allowing detailed analysis of the historical patterns and developing trends. The data indicates that overall demand for small amount short duration credit is growing in Australia, the consumer base is broadening, and the predominant form of lending today is online. Deeper analysis highlights the varying motivations of borrower households and their different stages and levels of financial difficulty. It also confirms the socio-economic, employment, educational and financial disadvantages of most households using these loans and their vulnerability to adverse changes in personal circumstances and negative external shocks.

The lens of ludic engagement : evaluating participation in interactive art installations

Designers and artists have integrated recent advances in interactive, tangible and ubiquitous computing technologies to create new forms of interactive environments in the domains of work, recreation, culture and leisure. Many designs of technology systems begin with the workplace in mind, and with function, ease of use, and efficiency high on the list of priorities. [1] These priorities do not fit well with works designed for an interactive art environment, where the aims are many, and where the focus on utility and functionality is to support a playful, ambiguous or even experimental experience for the participants. To evaluate such works requires an integration of art-criticism techniques with more recent Human Computer Interaction (HCI) methods, and an understanding of the different nature of engagement in these environments. This paper begins a process of mapping a set of priorities for amplifying engagement in interactive art installations. I first define the concept of ludic engagement and its usefulness as a lens for both design and evaluation in these settings. I then detail two fieldwork evaluations I conducted within two exhibitions of interactive artworks, and discuss their outcomes and the future directions of this research.