Multinomial Logistic Regression to Estimate the Financial Education and Financial Knowledge of University Students in Chile
Abstract
:1. Introduction
2. Financial Education
“The process by which financial consumers/investors improve their understanding of financial products, concepts and risks and, through information, instruction and/or objective advice, develop the skills and confidence to become more aware of financial risks and opportunities, to make informed choices, to know where to go for help, and to take other effective actions to improve their financial well-being.”[10].
3. Advances in Chile and Latin America
4. Methodology
4.1. Data and Method
4.2. Study Area
|
|
5. Results
5.1. Descriptive Analysis
- 38.5% reported knowing about the voluntary retirement savings account
- 45.1% reported knowing about the AFP pension fund
- 52.3% reported knowing about the cash advance
- 38.0% reported knowing about the car loan with specialized entities
- 30.0% reported knowing about credit with specialized consumer divisions
- 42.4% reported knowing about consumer credit
- 28.8% reported knowing about credit in cooperatives
- 44.4% reported knowing about the house mortgage loan
- 41.5% reported knowing about retail store credit
- 32.9% reported knowing about credit in compensation funds
- 25.9% reported knowing about microcredit
- 39.5% reported knowing about term deposits
- 23.7% reported knowing about factoring
- 26.1% reported knowing about leasing
- 43.2% reported knowing about types of insurance
- 34.6% reported knowing about obligatory personal accident insurance (SOAP)
- 34.4% reported knowing about supplemental health insurance
- 45.4% reported knowing about the savings account
- 41.2% reported knowing about the checkless bank account
- 42.2% reported knowing about the current account
- 39.8% reported knowing about the line of credit
- 39.3% reported knowing about debit cards
- 46.8% reported knowing about checks
- 38.8% reported knowing about stock market investment/mutual funds
5.2. Multinomial Logistic Regression
6. Discussion and Conclusions
Author Contributions
Funding
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
- Moreno-García, E.; García-Santillán, A.; Gutiérrez-Delgado, L. Nivel de educación financiera en escenarios de educación superior. Un estudio empírico con estudiantes del área económico-administrativa. Rev. Iberoam. Educ. Super. 2017, 8, 163–183. [Google Scholar] [CrossRef]
- Cruz Barba, E. Educación financiera en los niños: Una evidencia empírica. Sinéctica 2018, 51. [Google Scholar] [CrossRef] [Green Version]
- Kiyosaki, R.T. Padre Rico. Padre Pobre (Nueva Edición Actualizada): Qué les Enseñan los Ricos a sus Hijos ACERCA del Dinero; Aguilar: Cordoba, Spain, 2012. [Google Scholar]
- Villada, F.; López-Lezama, J.M.; Muñoz-Galeano, N. El Papel de la Educación Financiera en la Formación de Profesionales de la Ingeniería. Form. Univ. 2017, 10, 13–22. [Google Scholar] [CrossRef]
- Atkinson, A.; Messy, F.-A.; Rabinovich, L.; Yoong, J. Financial Education for Long-Term Savings and Investments: Review of Research and Literature; OECD Working Papers on Finance, Insurance and Private Pensions 39; OECD Publishing: Paris, France, 2015. [Google Scholar]
- Valdivieso, G.D.C.P. Medición del conocimiento financier en los participantes de programas de educación financiera: Caso del Banco de Loja SA. Redmarka. Rev. Mark. Appl. 2017, 2, 47–60. [Google Scholar] [CrossRef]
- Fox, J.; Bartholomae, S.; Lee, J. Building the case for financial education. J. Consum. Aff. 2005, 39, 195–214. [Google Scholar] [CrossRef]
- Kim, J. Workplace financial education program: Does it have an impact on employee’s personal finances. J. Fam. Consum. Sci. 2007, 99, 80–85. [Google Scholar]
- Marrero, M.C.R. El desafío de una alfabetización financiera. Bus. Innova Sci. 2021, 2, 67–75. [Google Scholar]
- Atkinson, A.; Messy, F. Promoting Financial Inclusion through Financial Education: OECD/INFE Evidence, Policies and Practice; OECD Working Papers on Finance, Insurance and Private Pensions, No. 34; OECD Publishing: Paris, France, 2013. [Google Scholar] [CrossRef]
- Tapia, A.M. Endeudamiento “saludable”, empoderamiento y control social. Polis. Revista Latinoamericana 2018, 17, 79–101. [Google Scholar] [CrossRef] [Green Version]
- Gutiérrez Andrade, O.W.; Delgadillo Sánchez, J.A. La educación financiera en jóvenes universitarios del primer ciclo de pregrado de la Universidad Católica Boliviana “San Pablo”, Unidad Académica Regional de Cochabamba. Rev. Perspect. 2018, 41, 33–72. [Google Scholar]
- Cea, M.; Sandoval, D.; Strello, A. Estudio de Alfabetización y Comportamiento Financiero en Chile; Centro de Politicas Públicas UC: Santiago, Chile, 2017. [Google Scholar]
- Mejía, D.; Pallotta, A.; Egúsquiza, E. Encuesta de Medición de las Capacidades Financieras en los Países Andinos 2014; CAF: Lima, Peru, 2015. [Google Scholar]
- Demirgüç-Kunt, A.; Leora, K.; Doro-the Singer, S.; Hess, A.J. La Base de Datos Global Findex 2017: Medición de la Inclusion Financiera y la Revolución de la Tecnología Financiera; Banco Mundial. Licencia: Creative Commons Attribution CC BY 3.0 IGO; Cuadernillo de Reseña: Washington, DC, USA, 2018. [Google Scholar]
- Ormazábal, F.; Sepúlveda, A.; Silva, N. Encuesta de Medición de Capacidades Financieras en los Países Andinos: Chile 2016 report. Santiago de Chile: SBIF (Superintendencia de Bancos e Instituciones Financieras de Chile. Available online: http://scioteca.caf.com/handle/123456789/985 (accessed on 24 April 2021).
- Plata-Gómez, K.R.; Caballero-Márquez, J.A. Influencia de los programas de educación financiera sobre el comportamiento de los jóvenes: Una revisión de literatura. I + D Rev. Investig. 2020, 15, 18–27. [Google Scholar]
- Eichhorn, K. Sobreendeudamiento de los Hogares en Chile: Determinantes y Recomendaciones de Política Pública. Ph.D. Thesis, Pontificia Universidad Católica de Chile, Santiago, Chile, 2020. [Google Scholar]
- Servicio Nacional del Consumidor. La Educación Financiera en Jóvenes: Clave Para un Desarrollo Económico Saludable; Servicio Nacional del Consumidor: Santiago, Chile, 2015. [Google Scholar]
- Grifoni, A.; Mejía, D.; Morais, S.; Ortega, S.; Roa, M.J. Estrategias Nacionales de Inclusión y Educación Financiera en América Latina y el Caribe: Retos de Implementación; OCDE/CAF: Paris, France, 2020. [Google Scholar]
- Frisancho, V. The Impact of School-Based Financial Education on High School Students and Their Teachers: Experimental Evidence from Peru. 2018. Available online: http://dx.doi.org/10.18235/0001056 (accessed on 24 April 2021).
- García, N.; Grifoni, A.; López, J.C.; Mejía, D. N° 12. La Educación Financiera en América Latina y el Caribe. Situación Actual y Perspectivas. 2013. Available online: http://scioteca.caf.com/handle/123456789/379 (accessed on 24 April 2021).
- Sinche, M.B.A.; Brito, R.V.C.; Delgado, M.M.S. Programas de Educación Financiera Implementados en América Latina. Rev. Investig. Form. Desarro. Generando Product. Inst. 2019, 7, 23. [Google Scholar]
- López, J.B.C. Análisis de la necesidad de la educación financiera en la formación colegial. Pensam. Crit. 2017, 22, 97–126. [Google Scholar]
- Roa, M.J.; Mejía, D. Decisiones Financieras de los Hogares e Inclusión Financiera: Evidencia para América Latina y el Caribe. 2018. Available online: http://scioteca.caf.com/handle/123456789/1188 (accessed on 24 April 2021).
- Coughenour, C.; Paz, A.; De la Fuente-Mella, H.; Singh, A. Multinomial logistic regression to estimate and predict perceptions of bicycle and transportation infrastructure in a sprawling metropolitan area. J. Public Health 2016, 38, e401–e408. [Google Scholar] [CrossRef] [PubMed]
- Clark, S.; Coughenour, C.; Bumgarner, K.; De la Fuente-Mella, H.; Reynolds, C.; Abelar, J. The impact of pedestrian crossing flags on driver yielding behavior in Las Vegas, NV. Sustainability 2019, 11, 4741. [Google Scholar] [CrossRef] [Green Version]
- Coughenour, C.; De la Fuente-Mella, H.; Paz, A. Analysis of self-reported walking for transit in a sprawling urban metropolitan area in the western U.S. Sustainability 2019, 11, 852. [Google Scholar] [CrossRef] [Green Version]
- Paz, A.; De la Fuente-Mella, H.; Singh, A.; Conover, R.; Monteiro, H. Highway expenditures and associated customer satisfaction: A case study. Math. Probl. Eng. 2016, 2016, 4630492. [Google Scholar] [CrossRef] [Green Version]
- De la Fuente-Mella, H.; Guzmán, C.; Crawford, K.; Foschino, G.; Crawford, B.; Soto, R.; León de la Barra, C.; Cisternas-Caneo, F.; Monfroy, E.; Becerra-Rozas, M.; et al. Analysis and prediction of students’ behavior and their relation to academic performance using data analytics techniques. Appl. Sci. 2020, 10, 7114. [Google Scholar] [CrossRef]
- Cárdenas, C.; Crawford, K.; Crawford, B.; Soto, R.; De la Fuente-Mella, H.; Peña, A.; Valenzuela, M.; Hermosilla, P.; Álvarez, L. A quantitative analysis of the identification of personality traits in engineering students and their relation to academic performance. Stud. High. Educ. 2020, 45, 1323–1334. [Google Scholar] [CrossRef]
- De la Fuente-Mella, H.; Vallina, A.M.; Solis, R. Stochastic analysis of the economic growth of OECD countries. Econ. Res. -Ekon. Istraživanja 2020, 33, 2189–2202. [Google Scholar] [CrossRef] [Green Version]
- Vallina, A.M.; De la Fuente-Mella, H.; Solis, R. International Trade and Innovation: Delving in Latin American Commerce. Acad. ARLA 2020, 33, 535–547. [Google Scholar] [CrossRef]
- De la Fuente-Mella, H.; Rubilar, R.; Chahuan, K.; Leiva, V. Modeling COVID-19 cases statistically and evaluating their effect on OECD economies. Mathematics 2021, 9, 1558. [Google Scholar] [CrossRef]
- Chahuan, K.; Rubilar, R.; De la Fuente-Mella, H.; Leiva, V. Predictive modeling for pandemic COVID-19 and its effects on the global financial crisis. Entropy 2021, 23, 100. [Google Scholar] [CrossRef]
- Umaña, B.; De la Fuente-Mella, H.; Elórtegui, C.; Fonseca, M. Multinomial Logistic Regression to Estimate and Predict the Perceptions of Individuals and Companies in the Face of the COVID-19 Pandemic in the Ñuble Region, Chile. Sustainability 2020, 12, 9553. [Google Scholar] [CrossRef]
Question | Variable | Alternatives | N | Marginal Percentage |
---|---|---|---|---|
Imagine that five siblings receive a donation/gift of CLP 1,000,000 (1 million Chilean pesos). If they have to share the money equally, how much does each one receive? | Division | CLP 200,000 | 308 | 75.1% |
Another answer | 9 | 2.2% | ||
Do not know/No answer | 93 | 22.7% | ||
Now imagine that the siblings have to wait 1 year to retrieve their share of the CLP 1 million from the safe, and that inflation remains at 3% per year. What will they be able to buy with the money after 1 year? | Value of money | More than they would be able to buy today | 31 | 7.6% |
The same amount | 49 | 12.0% | ||
Less than they would be able to buy today | 198 | 48.3% | ||
Depends on what they want to buy | 38 | 9.3% | ||
Do not know/No answer | 94 | 22.9% | ||
Imagine that you lent CLP 20,000 to a friend one evening and he paid you back CLP 20,000 the next day, did your friend pay any interest on this loan? | Interest | Yes | 4 | 1.0% |
No | 313 | 76.3% | ||
Do not know/No answer | 93 | 22.7% | ||
At a constant 2% interest rate, how much money would the account have at the end of 5 years? (not including commissions and taxes) | Compound interest | More than CLP 110,000 | 150 | 36.6% |
Exactly CLP 110,000 | 102 | 24.9% | ||
Less than CLP 110,000 | 25 | 6.1% | ||
Impossible to say with the available information | 9 | 2.2% | ||
Do not know/No answer | 124 | 30.2% | ||
A high inflation rate means that the cost of living is rising rapidly. | Inflation | True | 259 | 63.2% |
False | 57 | 13.9% | ||
Do not know/No answer | 94 | 22.9% | ||
You are less likely to lose all your money if you invest it in more than one place (diversification). | Diversification | True | 203 | 49.5% |
False | 113 | 27.6% | ||
Do not know/No answer | 94 | 22.9% | ||
Prior to purchasing something, I carefully consider whether I can afford it. | Prior to purchase | Strongly disagree | 8 | 2.0% |
Disagree | 0 | 0.0% | ||
Neither agree nor disagree | 6 | 1.5% | ||
Agree | 38 | 9.3% | ||
Strongly agree | 218 | 53.2% | ||
Do not know/No answer | 140 | 34.1% | ||
I personally monitor my financial matters. | My finances | Strongly disagree | 5 | 1.2% |
Disagree | 8 | 2.0% | ||
Neither agree nor disagree | 13 | 3.2% | ||
Agree | 48 | 11.7% | ||
Strongly agree | 204 | 49.8% | ||
Do not know/No answer | 132 | 32.2% | ||
In the last 12 months, have you been saving money in any of the following ways (whether or not you still have the money)? | Savings | Save at home | 76 | 18.5% |
Make a money pool with friends | 3 | 0.7% | ||
Purchase financial investment products other than mutual funds | 8 | 2.0% | ||
Give money to your family to save on your behalf | 6 | 1.5% | ||
Leave money in savings or current account | 73 | 17.8% | ||
Deposit money in an account/term deposit | 20 | 4.9% | ||
Frequently deposit in savings account | 14 | 3.4% | ||
Save in other ways such as buying property or other types of assets | 2 | 0.5% | ||
Have not been actively saving | 66 | 16.1% | ||
No answer | 142 | 34.6% | ||
Do you have a cash advance? | Have cash advance | No | 388 | 94.6% |
Yes | 22 | 5.4% | ||
Have you had a cash advance? | Have had cash advance | No | 386 | 94.1% |
Yes | 24 | 5.9% | ||
Have you had a car loan with specialized entities (e.g., FORUM or TANNER)? | Have had a car loan | No | 402 | 98.0% |
Yes | 8 | 2.0% | ||
Do you know about credit with specialized consumer divisions (SCD)? | Know about SCD credit | No | 287 | 70.0% |
Yes | 123 | 30.0% | ||
Do you have credit with specialized consumer divisions (SCD)? | Have credit with SCD | No | 396 | 96.6% |
Yes | 14 | 3.4% | ||
Have you had credit with specialized consumer divisions (SCD)? | Have had credit with SCD | No | 404 | 98.5% |
Yes | 6 | 1.5% | ||
Have you had checks? | Have had checks | No | 390 | 95.1% |
Yes | 20 | 4.9% | ||
Do you know about the current account? | Know about current account | No | 237 | 57.8% |
Yes | 173 | 42.2% | ||
Do you have a current account? | Have a current account | No | 310 | 75.6% |
Yes | 100 | 24.4% | ||
Do you know about the savings account? | Know about savings account | No | 224 | 54.6% |
Yes | 186 | 45.4% | ||
Do you have debit cards? | Have debit cards | No | 242 | 59.0% |
Yes | 168 | 41.0% | ||
Do you have a voluntary retirement savings account (APV)? | Have APV | No | 403 | 98.3% |
Yes | 7 | 1.7% | ||
Have you had a voluntary retirement savings account (APV)? | Have had APV | No | 403 | 98.3% |
Yes | 7 | 1.7% | ||
Have you had a pension fund (AFP)? | Have had AFP | No | 399 | 97.3% |
Yes | 11 | 2.7% | ||
Do you know about credit in cooperatives? | Know about credit in cooperatives | No | 292 | 71.2% |
Yes | 118 | 28.8% | ||
Do you have credit in cooperatives? | Have credit in cooperatives | No | 407 | 99.3% |
Yes | 3 | 0.7% | ||
Do you have a line of credit? | Have a line of credit | No | 368 | 89.8% |
Yes | 42 | 10.2% | ||
Do you have retail store credit? | Have retail store credit | No | 381 | 92.9% |
Yes | 29 | 7.1% | ||
Do you know about leasing? | Know about leasing | No | 303 | 73.9% |
Yes | 107 | 26.1% | ||
Do you use leasing? | Use leasing | No | 406 | 99.0% |
Yes | 4 | 1.0% | ||
Do you perform factoring? | Perform factoring | No | 408 | 99.5% |
Yes | 2 | 0.5% | ||
Do you have a house mortgage loan? | Have a house mortgage loan | No | 403 | 98.3% |
Yes | 7 | 1.7% | ||
Do you have consumer credit? | Have consumer credit | No | 399 | 97.3% |
Yes | 11 | 2.7% | ||
Have you had consumer credit? | Have had consumer credit | No | 400 | 97.6% |
Yes | 10 | 2.4% | ||
Do you know about the SOAP insurance? | Know about SOAP insurance | No | 268 | 65.4% |
Yes | 142 | 34.6% | ||
Have you had SOAP insurance? | Have had SOAP insurance | No | 393 | 95.9% |
Yes | 17 | 4.1% | ||
Have you had supplemental health insurance? | Have had supplemental health insurance | No | 399 | 97.3% |
Yes | 11 | 2.7% | ||
Do you have a credit card? | Have credit card | No | 347 | 84.6% |
Yes | 63 | 15.4% | ||
Have you had a credit card? | Have had credit card | No | 390 | 95.1% |
Yes | 20 | 4.9% | ||
Sometimes people find that their income is not enough to cover their expenses. Has this happened to you in the last 12 months? | Insolvency | Yes, it has happened | 130 | 31.7% |
No, it has not happened | 72 | 17.6% | ||
Not applicable (have no personal income) | 68 | 16.6% | ||
No answer | 140 | 34.1% |
Observed | Predicted | ||||||
---|---|---|---|---|---|---|---|
Very Superior | Superior | Average | Inferior | Very Inferior | Do Not Know/No Answer | Percent Correct | |
Very superior | 14 | 1 | 4 | 0 | 0 | 0 | 73.7% |
Superior | 2 | 54 | 11 | 1 | 3 | 0 | 76.1% |
Average | 1 | 1 | 149 | 1 | 0 | 0 | 98.0% |
Inferior | 0 | 0 | 22 | 61 | 2 | 0 | 71.8% |
Very inferior | 0 | 2 | 8 | 1 | 40 | 0 | 78.4% |
Do not know/no answer | 0 | 0 | 18 | 0 | 0 | 14 | 43.8% |
Overall Percentage | 4.1% | 14.1% | 51.7% | 15.6% | 11.0% | 3.4% | 81.0% |
Effect | Model Fitting Criteria | Likelihood Ratio Tests | ||
---|---|---|---|---|
−2 Log Likelihood of Reduced Model | Chi-Squared | Degrees of Freedom | p-Value | |
Intercept | 479.610 | 0.000 | 0 | |
Division | 925.542 | 445.933 | 5 | 0.000 |
Value of money | 595.029 | 115.419 | 20 | 0.000 |
Interest | 1180.215 | 700.606 | 10 | 0.000 |
Compound interest | 721,535.089 | 721,055.479 | 20 | 0.000 |
Inflation | 628.644 | 149.034 | 10 | 0.000 |
Diversification | 1917.900 | 1438.290 | 10 | 0.000 |
Prior to purchase | 867.076 | 387.466 | 20 | 0.000 |
My finances | 2719.049 | 2239.439 | 25 | 0.000 |
Savings | 557.677 | 78.067 | 45 | 0.002 |
Have cash advance | 1135.188 | 655.578 | 5 | 0.000 |
Have had cash advance | 1311.501 | 831.891 | 5 | 0.000 |
Have had a car loan | 1069.474 | 589.865 | 5 | 0.000 |
Know about credit with SCD | 572.756 | 93.146 | 5 | 0.000 |
Have credit with SCD | 709.333 | 229.723 | 5 | 0.000 |
Have had credit with SCD | 765.323 | 285.714 | 5 | 0.000 |
Have had checks | 660.418 | 180.808 | 5 | 0.000 |
Know about current account | 677.615 | 198.005 | 5 | 0.000 |
Have a current account | 523.057 | 43.447 | 5 | 0.000 |
Know about savings account | 683.549 | 203.939 | 5 | 0.000 |
Have a debit card | 1587.942 | 1108.332 | 5 | 0.000 |
Have APV | 1103.442 | 623.832 | 5 | 0.000 |
Have had APV | 519.211 | 39.601 | 5 | 0.000 |
Have had AFP | 622.093 | 142.483 | 5 | 0.000 |
Know about credit in cooperatives | 1707.297 | 1227.687 | 5 | 0.000 |
Have credit in cooperatives | 1411.415 | 931.805 | 5 | 0.000 |
Have line of credit | 1813.684 | 1334.074 | 5 | 0.000 |
Have retail store credit | 957.468 | 477.858 | 5 | 0.000 |
Know about leasing | 5299.049 | 4819.439 | 5 | 0.000 |
Use leasing | 261,893.325 | 261,413.715 | 5 | 0.000 |
Perform factoring | 1070.155 | 590.545 | 5 | 0.000 |
Have a house mortgage loan | 1648.540 | 1168.930 | 5 | 0.000 |
Have consumer credit | 578.911 | 99.301 | 5 | 0.000 |
Have had consumer credit | 742.729 | 263.119 | 5 | 0.000 |
Know about SOAP insurance | 28,320.248 | 27,840.639 | 5 | 0.000 |
Have had SOAP insurance | 1448.979 | 969.369 | 5 | 0.000 |
Have had supplemental health insurance | 1237.148 | 757.538 | 5 | 0.000 |
Have a credit card | 1013.773 | 534.163 | 5 | 0.000 |
Have had a credit card | 2961.696 | 2482.086 | 5 | 0.000 |
Insolvency | 278,596.149 | 278,116.540 | 15 | 0.000 |
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations. |
© 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Share and Cite
Fuente-Mella, H.d.l.; Umaña-Hermosilla, B.; Fonseca-Fuentes, M.; Elórtegui-Gómez, C. Multinomial Logistic Regression to Estimate the Financial Education and Financial Knowledge of University Students in Chile. Information 2021, 12, 379. https://doi.org/10.3390/info12090379
Fuente-Mella Hdl, Umaña-Hermosilla B, Fonseca-Fuentes M, Elórtegui-Gómez C. Multinomial Logistic Regression to Estimate the Financial Education and Financial Knowledge of University Students in Chile. Information. 2021; 12(9):379. https://doi.org/10.3390/info12090379
Chicago/Turabian StyleFuente-Mella, Hanns de la, Benito Umaña-Hermosilla, Marisela Fonseca-Fuentes, and Claudio Elórtegui-Gómez. 2021. "Multinomial Logistic Regression to Estimate the Financial Education and Financial Knowledge of University Students in Chile" Information 12, no. 9: 379. https://doi.org/10.3390/info12090379
APA StyleFuente-Mella, H. d. l., Umaña-Hermosilla, B., Fonseca-Fuentes, M., & Elórtegui-Gómez, C. (2021). Multinomial Logistic Regression to Estimate the Financial Education and Financial Knowledge of University Students in Chile. Information, 12(9), 379. https://doi.org/10.3390/info12090379