Economic and demographic differences in debt delinquent behavior.Being late in debt payments face many negative consequences: a late fee will be charged, the practice will be recorded in credit reports, and the consumers will be the potential target of universal default. Being late for two months or more is considered a sign of financial difficulties. This study used data from the 2004 Survey of Consumer Finance to examine economic and demographic differences in late payment behavior. Both bivariate bi·var·i·ate
Mathematics Having two variables: bivariate binomial distribution.
Adj. 1. and multivariate The use of multiple variables in a forecasting model. analyses indicate that income, wealth, home ownership, age, family type, and race/ethnicity are associated with debt delinquent delinquent 1) adj. not paid in full amount or on time. 2) n. short for an underage violator of the law as in juvenile delinquent.
DELINQUENT, civil law. He who has been guilty of some crime, offence or failure of duty. behavior. Lower income, lower wealth, non-homeowner, younger and mid-aged, married with children, single female with children, and black consumers are more likely than their counterparts to be late in debt payments. Consumers who are late in debt payment for two or more months are more likely than those who make payments on time to pay high interest rates (20% or higher) on their credit card debts Credit card debt is an example of unsecured consumer debt, accessed through ISO 7810 plastic credit cards.
Debt results when a client of a credit card company purchases an item or service through the card system. . The findings have implications for consumer educators and policy makers. Consumer educators need to provide effective strategies and information for these consumers to avoid debt delinquent behavior; furthermore, policy makers should consider the vulnerability of these consumers and formulate formulate /for·mu·late/ (for´mu-lat)
1. to state in the form of a formula.
2. to prepare in accordance with a prescribed or specified method. appropriate policies to protect them.
Being late or missing a debt payment will have negative consequences for consumers. The most direct consequence is that a late fee will be charged, which, in recent years, can be as high as $39. Since 1993, late fees have risen by 194% (Cardweb, 2005). In addition, the behavior will be recorded by credit reports, often resulting in lower credit scores. Consumers who are late in debt payments with low credit scores may be the target of universal default, a controversial policy employed by many financial institutions. Many credit card issuers now routinely check their cardholders' credit reports and raise the interest rate on the card if there has been a change in the consumer's score, which is called the universal default policy. For example, if a consumer is late on her/his payment of the credit card issued by Bank A, Bank B will now raise the cardholder's interest rate. According to according to
1. As stated or indicated by; on the authority of: according to historians.
2. In keeping with: according to instructions.
3. a survey by Consumer Action, 45% of banks reported 6having universal default policies. The most commonly cited circumstances CIRCUMSTANCES, evidence. The particulars which accompany a fact.
2. The facts proved are either possible or impossible, ordinary and probable, or extraordinary and improbable, recent or ancient; they may have happened near us, or afar off; they are public or that trigger a universal default rate hike are credit scores getting worse and paying mortgage, car loans, or other creditors late (Consumer Action, 2005). Consumer advocates consider this policy unfair to consumers and have raised the issue in front of the Senate Banking Committee (Holloway Holloway may refer to:
New York, Middle Atlantic state of the United States. It is bordered by Vermont, Massachusetts, Connecticut, and the Atlantic Ocean (E), New Jersey and Pennsylvania (S), Lakes Erie and Ontario and the Canadian province of state legislature A state legislature may refer to a legislative branch or body of a political subdivision in a federal system.
The following legislatures exist in the following political subdivisions:
American abstract painter and sculptor whose works are characterized by flat color areas with sharply defined edges.
Kelly, Emmett 1898-1979. , 2006).
Universal default is one of many innovations that resulted from financial deregulation Deregulation
The reduction or elimination of government power in a particular industry, usually enacted to create more competition within the industry.
Traditional areas that have been deregulated are the telephone and airline industries. in the U.S. The deregulation makes financial institutions prosper, such as the credit card market. Before the deregulation, credit card divisions in banks always lost money, but after the deregulation, the credit card divisions became cash cows Cash Cow
1. One of the four categories (quadrants) in the BCG growth-share matrix that represents the division within a company that has a large market share within a mature industry.
2. (see Manning, 2000). Ausubel (1991) demonstrated that even the structure of the credit card industry looks competitive after the deregulation, but its behavior is inconsistent Reciprocally contradictory or repugnant.
Things are said to be inconsistent when they are contrary to each other to the extent that one implies the negation of the other. with the outcome of economic theory predicts because it earned three to five times the ordinary rate of return in banking during the period 1983-1988. The profit of the credit card industry remained high in late 1990s (Ausubel, 1997). Ellis ELLIS - EuLisp LInda System. An object-oriented Linda system written for EuLisp. "Using Object-Oriented Mechanisms to Describe Linda", P. Broadbery <email@example.com> et al, in Linda-Like Systems and Their Implementation, G. Wilson ed, U Edinburgh TR 91-13, 1991. (1998) argued that the 1978 Supreme Court decision ("Marquette Marquette, city (1990 pop. 21,977), seat of Marquette co., N Mich., Upper Peninsula, on Lake Superior; settled 1849, inc. as a city 1871. It is a shipping center for a lumber, farm, and resort region. Chemicals, wood products, and mining machinery are manufactured. ") fundamentally altered the market for credit card loans in a way that significantly expanded the availability of credit and increased the average risk profile of borrowers. The result was a substantial expansion in credit card availability, a reduction in average credit quality, and a secular Secular
An adjective used to describe a long-term time frame, usually at least 10 years.
For example, in his book "Stocks For the Long Run", Jeremy Siegel (finance professor at The Wharton School, University of Pennsylvania) argues that equity securities increase in personal bankruptcies Personal bankruptcy is a procedure which, in certain jurisdictions, allows an individual to declare bankruptcy. In other jurisdictions, bankruptcies are reserved for corporations. . The good news for consumers, especially low income consumers, is that they have broader access to credit (Bird, Hogstrom, & Wild, 1999; Johnson, 2005; Lyons Lyons, city, France
Lyons, Fr. Lyon (both: lyôN`), city (1990 pop. 422,444), capital of Rhône dept., E central France, at the confluence of the Rhône and Saône rivers. , 2003). The bad news is that the probability of default Probability of default (PD) is a parameter used in the calculation of economic capital or regulatory capital under Basel II for a banking institution. This is an attribute of bank's client. among these consumers may rise too. There may be an adverse selection process going on in the credit market. A study using market experiments data provided by a major credit card issuer presented evidence supporting this theory and found that consumers with worse credit risks are more likely to respond to credit card solicitation solicitation
In criminal law, the act of asking, inducing, or directing someone to commit a crime. The person soliciting another becomes an accomplice to the crime. The term also refers to the act of obtaining bribes, as well as to the crime of a prostitute who offers sexual and to accept inferior INFERIOR. One who in relation to another has less power and is below him; one who is bound to obey another. He who makes the law is the superior; he who is bound to obey it, the inferior. 1 Bouv. Inst. n. 8. terms of the solicitation. Consumers who accept inferior offers are significantly more likely to default (Ausubel, 1999).
Deregulation of the credit card markets also resulted in diverse credit pricing, which ranged from 0 or low teaser rates Teaser rate
A low initial interest rate on an adjustable-rate mortgage to entice borrowers, that is later eliminated and replaced by a market-level rate. to over 40% punitive pu·ni·tive
Inflicting or aiming to inflict punishment; punishing.
[Medieval Latin pn rates (see Figure 1 for the lowest, highest, and average credit card interest rates in the last fifteen years). Again, this situation brings good and bad news for consumers. Some consumers enjoy low even zero interest rates, some use normal interest rates, while some others may suffer punitive, high interest rates on credit card debts. Who are consumers who lose from the financial deregulation? This study provides some insights for this broad question.
[FIGURE 1 OMITTED]
In this study, we examine economic and demographic factors that are associated with the debt delinquent behavior using data from the 2004 Survey of Consumer Finances The Survey of Consumer Finances (SCF) is a triennial survey of the balance sheet, pension, income, and other demographic characteristics of U.S. families. The survey also gathers information on the use of financial institutions. The study is sponsored by the U.S. . The purpose of the study is to identify consumers with certain socio-economic socio-economic adj → socioeconómico
socio-economic adj → socioéconomique characteristics who are disproportionably delinquent in debt payments and are potential targets of universal default. Findings of the study have implications for consumer educators who need to provide effective education programs and for policy makers who are making public policies that may affect the well-being of these at risk consumers.
Previous Studies on Debt Delinquent Behavior
In an early study that used 1983 Survey of Consumer Finance data to examine factors associated with late payment behavior, Canner and Luckett (1990) found the late payment behavior is associated with marital status marital status,
n the legal standing of a person in regard to his or her marriage state. , age, number of children, race, and several other variables. But in their logistic regression In statistics, logistic regression is a regression model for binomially distributed response/dependent variables. It is useful for modeling the probability of an event occurring as a function of other factors. results, they did not find the association between income and late payment behavior.
Descriptive statistics descriptive statistics
see statistics. of consumer debt delinquent behavior in recent years can be found in Federal Reserve Board staff papers (Aizcorbe, Kennickell, & Moore Moore, city (1990 pop. 40,761), Cleveland co., central Okla., a suburb of Oklahoma City; inc. 1887. Its manufactures include lightning- and surge-protection equipment, packaging for foods, and auto parts. , 2003; Bucks Bucks: see Buckinghamshire. , Kennickell, & Moore, 2006). In these studies, the consumer debt delinquent behavior is measured by the percentage of consumers whose debt payments are late for two or more months. The trend of this measure has increased since early 1990s, from 6% in 1992 to 8.9% in 2004 with fluctuations. However, the increasing trends are more consistent in several subpopulations. For example, for consumers who are at the bottom 20 percentile percentile,
n the number in a frequency distribution below which a certain percentage of fees will fall. E.g., the ninetieth percentile is the number that divides the distribution of fees into the lower 90% and the upper 10%, or that fee level income, younger than 35 years old, at the bottom 25 percentile net worth, and non-homeowners, proportions of the delinquent behavior among these populations have been going up linearly since 1995.
Johnson (2005) documented recent changes in the credit card market in last fifteen years, using data from Surveys of Consumer Finance and concluded that because of the improvement of credit-scoring technology and risk-based pricing "Property type" redirects here. For other uses see Property (disambiguation).
Risk-based pricing is a methodology adopted by many lenders in the mortgage and financial services industries. of credit card debt, the share of households, particularly lower-income households, with a credit card has increased. She used the late payment behavior as an independent variable to predict the credit card holding status and found that the late payment behavior is a significant predictor of not holding a credit card. She also found that the late payment behavior is more likely to be practiced by estimated new credit card holders who are characterized char·ac·ter·ize
tr.v. character·ized, character·iz·ing, character·iz·es
1. To describe the qualities or peculiarities of: characterized the warden as ruthless.
2. as low income, low wealth, younger, with more children, not married, etc.
Baeck and Kim Kim
orphan wanders streets of India with lama. [Br. Lit.: Kim]
See : Adventurousness (2005) reported a study using data from the 2001 Survey of Consumer Finances. They examined debt repayment behavior of older consumers and found several factors that associated with the debt delinquent behavior among consumers aged 65 or older, such as age, race, and several other variables.
A recent study surveyed credit card use among low- and middle-income mid·dle-in·come
Of or relating to people or groups whose income falls in the middle of the range for an overall population. consumers nationwide and found that seven out of ten households report using their credit cards as a safety net such as paying for car repairs, basic living expenses, medical expenses, or house repairs. Just under half had missed or were late with a payment in the last year, with nearly a quarter of households reporting paying a late fee at least one or two times in the past year (Demos and Center for Responsible Lending, 2005).
Several studies did not focus on late payment behavior but documented the broader credit access among low income and minority consumers in the last two decades after the financial deregulation. Lyons (2003) estimated trends of credit access of U.S. families. According to her findings, the ability of all households to obtain their desired debt levels increased after 1983 and more dramatically between 1992 and 1998. Those experiencing the greatest gains in credit access were black households and households with low permanent earnings. Another study using data from the 1983-1995 SCF SCF Service Canadien des Forêts (Canadian Forest Service)
SCF Stem Cell Factor
SCF Scientific Committee on Food (European Commission)
SCF Service Canadien de la Faune traced the evolution of the debt position of the poor as compared to that of the population at large (Bird, Hogstrom, & Wild, 1999) and found that the fraction of poor households with a credit card more than doubled and the average balances held on these cards rose almost as rapidly as the balances of nonpoor households. Draut and Silva sil·va also syl·va
n. pl. sil·vas or sil·vae
1. The trees or forests of a region.
2. A written work on the trees or forests of a region. (2003) used the SCF data to document credit card use trends among American families American Family is a photographic artwork exhibition by Renée Cox. See also
No study is found to examine family type and debt payment behavior. However, most single mother families belong to low-income low-in·come
Of or relating to individuals or households supported by an income that is below average. families. A study documented the trends of family structure and income inequality inequality, in mathematics, statement that a mathematical expression is less than or greater than some other expression; an inequality is not as specific as an equation, but it does contain information about the expressions involved. during 1976-2000 and argued that single mother families are always at the bottom of the income distribution and this fact contributes to their greater income inequality within the group (Martin, 2006).
Based on previous studies, this study expands the literature in several aspects. First, this study conducts both bivariate and multivariate analyses to identify economic and demographic variables that are associated with the debt delinquent behavior with the latest available SCF data. Second, it examines a new variable, family type, which is ignored by previous studies. Third, it examines the association between the debt delinquent behavior and the potential outcome variable, paying high interest rates (20% or higher) on credit card debts, which has not done in previous studies. In this study, we focus on three economic variables and three demographic variables: income, net worth, home ownership, age, race/ethnicity, and family type. Based on the literature review, we propose following hypotheses:
1. Consumers with following characteristics--low income, low wealth, non-homeowner, young, single female with children, black, Hispanic--are more likely to be late in debt payments.
2. Consumers who are late for debt payments are more likely to pay high interest rates on credit card debts.
We used data from 2004 Survey of Consumer Finance (SCF), which is the latest version of this data set. SCF is a triennial tri·en·ni·al
1. Occurring every third year.
2. Lasting three years.
1. A third anniversary.
2. A ceremony or celebration occurring every three years. national consumer finance survey sponsored by the Federal Reserve Board. The survey was conducted by the National Opinion Research Center at University of Chicago Chicago, city, United States
Chicago (shĭkä`gō, shĭkô`gō), city (1990 pop. 2,783,726), seat of Cook co., NE Ill., on Lake Michigan; inc. 1837. . Details about the data set can be found from a Federal Reserve Bulletin article (Bucks et al., 2006). The data set includes two random samples. The first is a standard multi-stage area-probability sample that is selected to provide good coverage of characteristics broadly distributed in the population. The second is a supplemental sample that is selected to disproportionately dis·pro·por·tion·ate
Out of proportion, as in size, shape, or amount.
dispro·por include wealthy families who hold a relatively large share of such thinly held assets as non-corporate businesses and tax-exempt bonds Tax-exempt bond
A bond usually issued by municipal, county, or state governments whose interest payments are not subject to federal and, in some cases, state and local income tax.
See municipal bond. . In the data sets available to public, the 2004 data has 4,519 observations (see Kennickell 2006, for a discussion about the difference of sample sizes between original data sets and public use data sets). In statistical analyses, we combined the full public data set and the extract of the full public data set together (www.federalreserve.gov/Pubs/oss/oss2/2004/scf2004home.html).
In SCF, two questions are about late or missed payments. The wording for asking about late or missed payment question (X3004) is "Now thinking of all the various loan or mortgage payments you made during last year, were all the payments made the way they were scheduled, or were payments on any of the loans sometimes made later or missed? 1- All paid as scheduled or ahead of schedule; 5--Sometimes got behind or missed payments; 0--Inapplicable." The wording of the following question (X3005) is "(if answered 5 in X3004) Were you ever behind in your payments by two months or more? 1--Yes; 5--No; 0. Inapplicable in·ap·pli·ca·ble
Not applicable: rules inapplicable to day students.
in·ap ." In this study, we generated a new variable LATEPAY, by recoding Noun 1. recoding - converting from one code to another
coding, steganography, cryptography, secret writing - act of writing in code or cipher the variables X3004 and X3005, which has values 1- All paid as scheduled or ahead of schedule; 2- Sometimes got behind or missed payments, but paid no later than two months; 3--Ever behind payments by two months or more. In data analyses of LATEPAY, we included consumers who have any debts only, which has an unweighted sample size of 3,483.
In addition to the two questions about late or missed payments, one question asked about the interest rate on the credit card account that has the highest balance. The wording of the question (X7132) is: "What interest rate do you pay on the card where you have the largest balance? What is the interest rate on the card you got most recently? What interest rate do you pay on this card?" Based on X7132, we generated a new variable INT with values 1- pay interest rate of 20% or higher; 2--pay interest rate less than 20%. In data analyses of INT, we included those who have credit card debts with an unweighted sample size of 2,930.
We calculated cross tables of these variables with the weighted sample by income, family type, racial/ethnic, age, house ownership, and net worth groups. Three income groups are included that are families with income of bottom 40% (lower than $33,867), middle 40% ($33,867-88,311), and top 20% (higher than $88,311). Six family types are married with children, male single with children, female single with children, male single, female single, and married without children. The racial/ethnic groups include white, black, Hispanic, and other racial groups (Asian, Native American American, river, 30 mi (48 km) long, rising in N central Calif. in the Sierra Nevada and flowing SW into the Sacramento River at Sacramento. The discovery of gold at Sutter's Mill (see Sutter, John Augustus) along the river in 1848 led to the California gold rush of , Pacific Islander Pacific Islander
1. A native or inhabitant of any of the Polynesian, Micronesian, or Melanesian islands of Oceania.
2. A person of Polynesian, Micronesian, or Melanesian descent. See Usage Note at Asian. , etc.). The age groups include three categories: younger than 35, 35--64, and 65 or older. House ownership has two categories: homeowner and other. Net worth has three groups: low 25% (Lower than $13,150), middle 50% ($13,150-$328,080), and top 25% (higher than $328,080).
In addition to bivariate analyses, we conducted two multiple logistic regressions. In the first regression regression, in psychology: see defense mechanism.
In statistics, a process for determining a line or curve that best represents the general trend of a data set. model, economic and demographic variables were regressed with the focused dependent variable, debt payment behavior (LATEPAY). In the second regression, paying 20% or higher interest rates (INT) was regressed with one debt payment variable and several economic and demographic variables.
Bivariate Analyses of Late Payment Behavior.
Based on 2004 Survey of Consumer Finances, we examined associations between late payment behavior and selected economic and demographic variables. Among consumers who have scheduled payment of any loans, 78.67% make payments on schedule, 12.41% report late payments but no later than two months, and 8.92% make late payments for more than two months (Table 1). Low income (bottom 40%) consumers are more likely to report late payments within or more than two months (14.83% and 14.85% respectively) than both middle income (13.24% and 8.73%) and top 20% income consumers (7.58% and 1.33%).
Consumers at the bottom 25% net worth are more likely to be late for less than two months (23.41%) and for two or more months (17.94%) in debt payments. Consumers at the middle 50% net worth are more likely than average to be late for less than two months (13.03%).
As shown in Table 1, whether or not consumers own home differs in late payment behavior. Consumers who do not own home are more likely than homeowners to be late for less than two months (18.49%) and for two or more months (18.80%) in debt payments.
Regarding family types, single females with any children are most likely to be late in debt payments than other family types, in which 16.06% make late payments for no more than two months and 20.86% make late payment for more than two months. Single males are more likely to be late for two or more months (11.47%). In addition, married with children (14.44%), single males with children (14.89%), and single females (13.37%) are more likely to be late for no more than two month.
Race/ethnicity shows differences in late payment behavior. Among these consumers, blacks have the highest proportion of making payments late--21.16% make late payments for no more than two months, and 18.87% make late payments for more than two months. In addition, Hispanic consumers are more likely to be late for less than two months (18.46%).
Regarding age groups, compared with consumers aged 65 years or older, consumers younger than 35 years old are more likely to be late in debt payments: 15.03% are late for less than two months, and 13.86% are late for two or more months. The middle-age Mid´dle-age`
1. Of or pertaining to the Middle Ages; mediæval. (35-64) consumers are more likely to be late for less than two months (13.03%).
Logistic lo·gis·tic also lo·gis·ti·cal
1. Of or relating to symbolic logic.
2. Of or relating to logistics.
[Medieval Latin logisticus, of calculation Analyses of Late Payment Behavior.
Table 3 presents the results of logistic analyses of late payment behaviors. Among economic and demographic variables, eight significant predictors of late payment behaviors are found: bottom 40% income, middle 40% income, married with children, single female with children, black/African American, age at 35-64, home ownership, and bottom 25% net worth.
Of the income percentile variables, compared to the top 20 percentile, consumers who are at the low 40 percentile and the middle 40 percentile are more likely to be late in debt payments. Compared to consumers at the top 25% of net worth, the group at bottom 25% of net worth are more likely to make payments late. Homeowners are less likely than non-homeowners to be late in debt payments.
For family type, consumers who are married with children and single females with children are more likely than those married without children to make payments late. Compared with white non-Hispanic, consumers who are black are more likely to make debt payments late. Consumers at 35-64 are more likely than those 65 or older to be late in debt payments. Interestingly, the younger age group (34 or younger) does not show a difference from the old age group (>65), which is inconsistent with the bivariate analysis result.
Late Payment Behavior and Paying High Interest Rates.
To test Hypothesis 2, we conducted both bivariate and multivariate analyses. We restricted samples to those who carry credit card debts only. The Chi-square chi-square (ki´skwar) see under distribution and test.
n. result indicates that consumers who are late in debt payments are more likely to pay high interest rates on credit card debts (Table 3). For example, 15.44% of consumers who are late for less than two months and 23.14% of consumers who are late for two or more months are paying 20% or higher interest rates, compared with 7.69% of those who make debt payments on time.
We have conducted logistic regression analysis in which the interest rate on credit card debts was used as the dependent variable, while late payment behavior and several economic and demographic variables are independent variables. Results are presented in Table 4. We found that those groups who paid late for two or more months and are at the bottom 40% income are associated with paying the high interest rate. Compared to consumers who make payments on time, those who make payments late for two or more months are 2.652 times more likely to pay 20% or higher interest rates on credit card debts. Compared to consumers who are at top 20% income, those at bottom 40% income are 3.093 times more likely to pay 20% or higher interest rates on credit card debts.
Conclusions and Implications
The last two decades of deregulating de·reg·u·late
tr.v. de·reg·u·lat·ed, de·reg·u·lat·ing, de·reg·u·lates
To free from regulation, especially to remove government regulations from: deregulate the airline industry. of the credit card market provided wider credit access for consumers, especially low income and other economically disadvantaged This article or section may contain original research or unverified claims.
Please help Wikipedia by adding references. See the for details.
This article has been tagged since September 2007. consumers, but it also seduced some consumers into deep debts, which resulted in these consumers paying higher interest rates and other fees. Evidence from this study, using data from the 2004 Survey of Consumer Finance, indicates that low income, low wealth, non-homeowner, young and mid-aged, married with children, single male with children, and black consumers are more likely than their counterparts to be late in debt payments, which leads to these consumers becoming potential targets of universal default. In addition, consumers who are late in any debt payments are more likely than those who make payments on time to pay 20% or higher interest rates on their credit card debts.
Implications for Consumer Educators.
This study identified several consumer populations that need help to avoid debt delinquent behavior. Educators can use this information to target these consumers and to provide effective and action-oriented educational programs for them. The findings indicate that low income, low wealth, non-home owners, young and mid-aged, married with children, single female with children, and black consumers are more likely than their counterparts to be late in debt payments. Educators should use the information to locate residential areas in which these types of consumers are concentrated and provide them effective education programs. The focus of the programs should be about how to avoid late payment behavior. The educators should explain to these groups the negative consequences of late payment behaviors, remind them how to read credit card and other debt agreements carefully, and provide them tips that will enable them to act and change their late payment behaviors. Effective programs should relate knowledge and behavior (Hilgert, Hogarth, & Beverly Beverly, city (1990 pop. 38,195), Essex co., NE Mass., on Massachusetts Bay; inc. as a city 1894. Its chief manufactures are electronic and scientific equipment, consumer goods, and chemicals. , 2003) while focusing on action to help consumers change behavior step by step, such as integrating evidence based, well established psychological framework, the transtheoretical model The transtheoretical model of change in health psychology explains or predicts a person's success or failure in achieving a proposed behavior change, such as developing different habits. It attempts to answer why the change "stuck" or alternatively why the change was not made. of change (TTM TTM
Trailing 12 months. Often used with Earnings Per Share. ), to the educational program (Xiao xiao
(Chinese; “filial piety”)
In Confucianism, the attitude of obedience, devotion, and care toward one's parents and other elders considered fundamental to moral conduct. , O'Neill, Prochaska, Kerbel, Brennan Bren·nan , William Joseph, Jr. 1906-1997.
American jurist who served as an associate justice of the U.S. Supreme Court (1956-1990). , & Bristow Bristow, or Bristowe, can refer to the following. People
Implications for Policy Makers.
Public policy makers should be aware of the consequences of financial deregulation in the last two decades that has brought benefits and pitfalls for consumers disproportionably. The policy makers need to understand that because of the financial deregulation, some consumers with certain characteristics are more vulnerable than others. Any reform and new legislation should consider these facts. We need to ask ourselves, should economically disadvantaged consumers deserve special protection in terms of debt and other financial services The examples and perspective in this article or section may not represent a worldwide view of the subject.
Please [ improve this article] or discuss the issue on the talk page. from the government? For example, Bar-Gill (2004) analyzed an·a·lyze
tr.v. an·a·lyzed, an·a·lyz·ing, an·a·lyz·es
1. To examine methodically by separating into parts and studying their interrelations.
2. Chemistry To make a chemical analysis of.
3. the credit card contracts from a legal perspective and pointed out that card issuers take advantage of the weakness of consumers, such as lack self-control self-control
Control of one's emotions, desires, or actions by one's own will. and underestimation of the consequences of delinquency delinquency
Criminal behaviour carried out by a juvenile. Young males make up the bulk of the delinquent population (about 80% in the U.S.) in all countries in which the behaviour is reported. potentials. Based on the behavior theories Behavior theory can refer to:
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Ausubel, L. M. (1997). Credit card defaults, credit card profits, and bankruptcy bankruptcy, in law, settlement of the liabilities of a person or organization wholly or partially unable to meet financial obligations. The purposes are to distribute, through a court-appointed receiver, the bankrupt's assets equitably among creditors and, in most . American Bankruptcy Law Journal, 71, 249-70.
Ausubel, L. M. (1999). Adverse Selection in Credit Card Market. Working paper. University of Maryland University of Maryland can refer to:
Baeck, S., & Kim, H. (2005). Older consumer's debt repayment behaviors. Consumer Interests Annual, 51, 280-281.
Bar-Gill, O. (2004). Seduction Seduction
See also Flirtatiousness.
Selfishness (See CONCEIT, STINGINESS.)
modern Circe; sorceress who seduces Rinaldo. [Ital. Lit.: Jerusalem Delivered]
nobleminded would-be seducer. by plastic. Northwestern University Northwestern University, mainly at Evanston, Ill.; coeducational; chartered 1851, opened 1855 by Methodists. In 1873 it absorbed Evanston College for Ladies. Law Review, 98(4), 1373-1434.
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Jing jing (jing) [Chinese] one of the basic substances that according to traditional Chinese medicine pervade the body, usually translated as "essence"; the body reserves or constitutional makeup, replenished by food and rest, that supports Sun, University of Arizona (body, education) University of Arizona - The University was founded in 1885 as a Land Grant institution with a three-fold mission of teaching, research and public service. (1)
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The jian is a double-edged straight sword used during the last 2,500 years in China. Historical one-handed versions have blades varying from 45 to 80 centimeters (17.7 to 31.5 inches) in length. Xiao, University of Arizona (2)
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Table 1 Late Payment Behavior By Demographic Variables & Interest Rates (%) On Schedule Late for no more than 2 months All sample 78.67 12.41 Income percentile *** Bottom 40% 70.32 14.83 Middle 40% 78.04 13.24 Top 20% 91.09 7.58 Family type *** Married with children 77.32 14.44 Single male with children 78.56 14.89 Single female with children 63.26 16.06 Single male 77.04 11.49 Single female 78.38 13.37 Married without children 87.20 7.77 Race/ethnicity *** black / African American 59.97 21.16 Hispanic 73.96 18.46 Asian or Other 80.81 11.26 white non-Hispanic 82.20 10.34 Age *** <35 71.12 15.03 35-64 76.68 13.03 >=65 90.49 5.61 Home ownership *** Home owners 84.02 10.37 Renters or other 62.71 18.49 Net worth *** Bottom 25% 58.64 17.94 Middle 50% 79.90 13.03 Top 25% 92.49 6.49 Late for 2 month Total sample or more All sample 8.92 100 Income percentile *** Bottom 40% 14.85 31.64 Middle 40% 8.73 44.82 Top 20% 1.33 23.54 Family type *** Married with children 8.23 36.97 Single male with children 6.55 2.47 Single female with children 20.68 9.79 Single male 11.47 10.66 Single female 8.25 14.10 Married without children 5.03 26.02 Race/ethnicity *** black / African American 18.87 12.60 Hispanic 7.58 8.26 Asian or Other 7.93 3.81 white non-Hispanic 7.46 75.33 Age *** <35 13.86 22.71 35-64 8.30 62.84 >=65 3.90 14.45 Home ownership *** Home owners 5.61 74.89 Renters or other 18.80 25.11 Net worth *** Bottom 25% 23.41 20.61 Middle 50% 7.07 54.38 Top 25% 1.02 25.01 Note: data are weighted, all implicates are used. Chi-Square tests are conducted. * p<.05; ** p<.01; *** p<.001 Table 2 Logistic Regression: Probability of Late Payment Behavior Variable Estimated parameter Intercept 3 -2.7430 Intercept 2 -1.4910 Income percentile Bottom 40% 0.2591 ** Middle 40% 0.1804 ** Top 20% (r.c.) Family type Married with children 0.3068 ** Single male with children -0.0487 Single female with children 0.3366 ** Single male -0.2189 Single female -0.2099 Married without children (r.c.) Racial/ethnic Black / African American 0.5971 *** Hispanic -0.2225 Other -0.2000 White non-Hispanic (r.c.) Age <35 0.1512 35-64 0.2704 *** >=65 (r.c.) Home ownership Home owners -0.2672 *** Renters or other (r.c.) Net worth Bottom 25% 0.6314 *** Middle 50% 0.0281 Top 25% (r.c.) Total observations 3483 Percent concordant 74.5 -2log of likelihood 3690.633 [chi square] = 506.7034 (p<.0001) Variable Odds estimate Intercept 3 - Intercept 2 - Income percentile Bottom 40% 2.011 Middle 40% 1.859 Top 20% (r.c.) Family type Married with children 1.605 Single male with children 1.124 Single female with children 1.653 Single male 0.948 Single female 0.957 Married without children (r.c.) Racial/ethnic Black / African American 2.164 Hispanic 0.953 Other 0.957 White non-Hispanic (r.c.) Age <35 1.773 35-64 1.998 >=65 (r.c.) Home ownership Home owners 0.586 Renters or other (r.c.) Net worth Bottom 25% 3.636 Middle 50% 1.989 Top 25% (r.c.) Total observations Percent concordant -2log of likelihood [chi square] = 506.7034 (p<.0001) Note: data are unweighted, implicate 1 is used. r.c. = reference category. * p<.05; ** p<.01; *** p<.001 Table 3 Late Payment Behavior By Interest Rates (%) *** Pay interests rate >=20% Payment behavior Make payment on time 7.69 Make payment late for no more 15.44 than two months Make payment late for two or 23.14 more months Total sample 9.46 Pay interests rate < 20% Payment behavior Make payment on time 92.31 Make payment late for no more 84.56 than two months Make payment late for two or 76.86 more months Total sample 90.54 Total sample Payment behavior Make payment on time 83.05 Make payment late for no more 11.04 than two months Make payment late for two or 5.90 more months Total sample 100.00 Note: data are weighted, all implicates are used. Chi-Square tests are conducted. * p<.05; ** p<.01; *** p<.001 Table 4 Logistic Regression: Probability of Interest Rate Higher than 20% Variable Estimated parameter Intercept 1 -2.1290 *** Payment Behavior Make payment late but no later than 2 months -0.0159 Make payment more than two months late 0.4956 ** Make payment on time (r.c.) Income percentile Bottom 40% 0.4878 *** Middle 40% 0.1535 Top 20% (r.c.) Family type Married with children 0.1717 Single male with children -0.3009 Single female with children 0.0849 Single male -0.1747 Single female 0.2225 Married without children (r.c.) Racial/ethnic Black / African American 0.1704 Hispanic 0.1176 Asian and Other -0.1293 White non-Hispanic (r.c.) Age <35 0.0403 35-64 0.0544 >=65 (r.c.) Home ownership Home owners 0.0307 Renters or other (r.c.) Net worth Bottom 25% 0.2327 Middle 50% 0.0161 Top 25% (r.c.) Total observations 2,930 Percent concordant 69.1 -2log of likelihood 1547.158 [chi square] = 114.7276 (p<.0001) Variable Odds estimate Intercept 1 - Payment Behavior Make payment late but no later than 2 months 1.590 Make payment more than two months late 2.652 Make payment on time (r.c.) Income percentile Bottom 40% 3.093 Middle 40% 2.214 Top 20% (r.c.) Family type Married with children 1.192 Single male with children 0.743 Single female with children 1.093 Single male 0.843 Single female 1.254 Married without children (r.c.) Racial/ethnic Black / African American 1.390 Hispanic 1.318 Asian and Other 1.030 White non-Hispanic (r.c.) Age <35 1.144 35-64 1.161 >=65 (r.c.) Home ownership Home owners 1.063 Renters or other (r.c.) Net worth Bottom 25% 1.618 Middle 50% 1.303 Top 25% (r.c.) Total observations Percent concordant -2log of likelihood [chi square] = 114.7276 (p<.0001) Note: data are unweighted, implicate 1 is used. r.c. = reference category * p<.05; ** p<.01; *** p<.001