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      Pensiones contributivas como fuente de ingresos en la vejez prevista por los jóvenes mexicanos Translated title: Contributory pensions as a source of income in the old age foreseen by young Mexicans

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          Abstract

          Resumen Objetivo: analizar el impacto que tienen algunas variables sociodemográficas y el conocimiento financiero en la probabilidad de que los jóvenes mexicanos esperen financiar su vejez con pensiones contributivas. Diseño metodológico: se empleó la información obtenida en la Encuesta Nacional de Inclusión Financiera de 2018 correspondiente a los jóvenes de entre 18 y 29 años de edad, así como una regresión logística binaria. Resultados: el sexo, la situación conyugal, el tamaño de la localidad y la región, el nivel de estudios, recibir ingresos por actividad laboral y el conocimiento de la inflación, son variables significativas del modelo propuesto. Limitaciones de la investigación: las variables predictoras incluidas en el modelo son las que están incluidas en la Encuesta Nacional de Inclusión Financiera, pero es factible incluir otras más relacionadas con el estado de salud, el alfabetismo, el número de personas que habitan el hogar, entre otras. Hallazgos: ser mujer y estar en una situación conyugal de pareja disminuyen la probabilidad de esperar recibir una pensión previsional, mientras que las demás variables que resultaron significativas incrementan la probabilidad.

          Translated abstract

          Abstract Purpose: To analyze the impact both sociodemographic variables and financial knowledge have on the probability of young Mexicans’ expectations to finance their old age with contributory pensions. Methodological design: Both the information obtained in the 2018 national financial inclusion survey for young people between 18 and 29 years of age and a binary logistic regression were used. Results: Sex, marital status, size of locality and region, educational level, job income, and knowledge of inflation are significant variables of the proposed model. Research limitations: The predictive variables included in the model are those included in the national survey of financial inclusion; however, it is feasible to include others related to health status, literacy, household members, among others. Findings: Being a woman and a spouse decrease the probability of expecting to receive a pension while other variables that were significant, increase the probability.

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          Most cited references49

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          The Economic Importance of Financial Literacy: Theory and Evidence

          This paper undertakes an assessment of a rapidly growing body of economic research on financial literacy. We start with an overview of theoretical research which casts financial knowledge as a form of investment in human capital. Endogenizing financial knowledge has important implications for welfare as well as policies intended to enhance levels of financial knowledge in the larger population. Next, we draw on recent surveys to establish how much (or how little) people know and identify the least financially savvy population subgroups. This is followed by an examination of the impact of financial literacy on economic decision-making in the United States and elsewhere. While the literature is still young, conclusions may be drawn about the effects and consequences of financial illiteracy and what works to remedy these gaps. A final section offers thoughts on what remains to be learned if researchers are to better inform theoretical and empirical models as well as public policy.
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            Baby Boomer retirement security: The roles of planning, financial literacy, and housing wealth

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              Financial literacy around the world: an overview

              In an increasingly risky and globalized marketplace, people must be able to make well-informed financial decisions. Yet new international research demonstrates that financial illiteracy is widespread when financial markets are well developed as in Germany, the Netherlands, Sweden, Japan, Italy, New Zealand, and the United States, or when they are changing rapidly as in Russia. Further, across these countries, we show that the older population believes itself well informed, even though it is actually less well informed than average. Other common patterns are also evident: women are less financially literate than men and are aware of this shortfall. More educated people are more informed, yet education is far from a perfect proxy for literacy. There are also ethnic/racial and regional differences: city-dwellers in Russia are better informed than their rural counterparts, while in the U.S., African Americans and Hispanics are relatively less financially literate than others. Moreover, the more financially knowledgeable are also those most likely to plan for retirement. In fact, answering one additional financial question correctly is associated with a 3–4 percentage point higher chance of planning for retirement in countries as diverse as Germany, the U.S., Japan, and Sweden; in the Netherlands, it boosts planning by 10 percentage points. Finally, using instrumental variables, we show that these estimates probably underestimate the effects of financial literacy on retirement planning. In sum, around the world, financial literacy is critical to retirement security.
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                Author and article information

                Journal
                edsc
                Entreciencias: diálogos en la sociedad del conocimiento
                Entreciencias: diálogos soc. conoc.
                Universidad Nacional Autónoma de México, Escuela Nacional de Estudios Superiores Unidad León (León, Guanajuato, Mexico )
                2007-8064
                December 2020
                : 8
                : 22
                : e2276243
                Affiliations
                [2] orgnameTecnológico Nacional de México orgdiv1Departamento de Ciencias Económico-Administrativas Mexico
                [1] orgnameUniversidad de Guanajuato orgdiv1Departamento de Estudios Multidisciplinarios Mexico
                Article
                S2007-80642020000100316 S2007-8064(20)00802200316
                10.22201/enesl.20078064e.2020.22.76243
                1674c989-f828-4f3a-9230-639e85ca95f4

                This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

                History
                : 29 June 2020
                : 16 September 2020
                Page count
                Figures: 0, Tables: 0, Equations: 0, References: 50, Pages: 0
                Product

                SciELO Mexico

                Categories
                Ciencias Sociales, Humanidades y Artes

                binary logistic regression,Mexican youth,jóvenes mexicanos,financiamiento para la vejez,planeación financiera,conocimiento financiero,regresión logística binaria,financial planning,old-age financing,financial knowledge

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