EdX

Estadísticas de finanzas públicas (edX)

Estadísticas de finanzas públicas (edX)

Este curso analiza los elementos prácticos y conceptuales de la compilación y divulgación de las estadísticas fiscales según los estándares internacionales, útiles para evaluar el impacto de las actividades del gobierno sobre la economía de un país y para facilitar las comparaciones internacionales.

Class Deals by MOOC List - Click here and see EdX's Active Discounts, Deals, and Promo Codes.

Este curso, presentado por el Departamento de Estadísticas del FMI, se enfoca tanto en el marco conceptual de las estadísticas de finanzas públicas (EFP), como se presentó en el Manual de Estadísticas de Finanzas Públicas 2014 del FMI (MEFP 2014, la versión actualizada de la edición de 2001), como en los aspectos prácticos de la compilación de datos.
Vamos a tratar los conceptos básicos, definiciones, normas contables, tablas de clasificaciones y presentaciones del marco de trabajo de las EFP. Se explican la compilación y divulgación de las EFP integrales y comparables internacionalmente.
Por último, el curso muestra cómo usar las EFP para evaluar el impacto de las actividades del gobierno sobre la economía de un país.

What you'll learn
Al completar el curso, los participantes podrán hacer lo siguiente:

  • Explicar los conceptos básicos, definiciones y principios de contabilidad en el marco de las EFP integradas.
  • Clasificar los flujos y posiciones de saldos básicos del gobierno conforme al MEFP 2014.
  • Aplicar los principios generales para clasificar una entidad en el sector público y en subsectores relevantes, tales el gobierno general y las sociedades públicas.
  • Registrar los flujos y posiciones de saldos asociados con las actividades de las entidades del sector público, conforme a las directrices y clasificaciones MEFP del M 2014.
  • Explicar cómo se calculan los principales agregados de las EFP y los balances analíticos, y lo que muestran acerca del impacto del gobierno en la economía.
  • Desarrollar un plan de migración para adoptar la metodología MEFP 2014, y compilar y divulgar las EFP de acuerdo con las directrices internacionales.
  • Reconocer el valor de las EFP integrales, consistentes y comparables internacionalmente y el uso de los indicadores EFP clave en el diseño, monitoreo y evaluación de las políticas fiscales.
Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

MathTrackX: Statistics (edX) EdX
University of Adelaide,AdelaideX

MathTrackX: Statistics (edX)

Understand fundamental concepts relating to statistical inference and how they can be applied to solve real world problems. This course will build on probability and random variable knowledge gained from previous courses in the MathTrackX XSeries with the study of statistical inference, one of the most important parts of statistics.

Self Paced
Self-Paced
BioStatistics (edX) EdX
DoaneX,Doane University

BioStatistics (edX)

This college-level, credit-eligible Biostatistics course will teach you the skills required for success in future analytical studies in biology. In this undergraduate-level biostatistics course, the learners will be introduced to the use of statistics and study designs in biology. Upon successful completion of this course, learners will be able to design experimental, quasi-experimental and observational studies that will meet regulatory guidelines; collect, analyze, and interpret data using appropriate statistical tools.

Self Paced
Self-Paced
Statistics and R (edX) EdX
HarvardX,Harvard University

Statistics and R (edX)

An introduction to basic statistical concepts and R programming skills necessary for analyzing data in the life sciences. We will learn the basics of statistical inference in order to understand and compute p-values and confidence intervals, all while analyzing data with R. We provide R programming examples in a way that will help make the connection between concepts and implementation.

Self Paced
Self-Paced
Statistical Inference and Modeling for High-throughput Experiments (edX) EdX
HarvardX,Harvard University

Statistical Inference and Modeling for High-throughput Experiments (edX)

A focus on the techniques commonly used to perform statistical inference on high throughput data. In this course you’ll learn various statistics topics including multiple testing problem, error rates, error rate controlling procedures, false discovery rates, q-values and exploratory data analysis. We then introduce statistical modeling and how it is applied to high-throughput data. In particular, we will discuss parametric distributions, including binomial, exponential, and gamma, and describe maximum likelihood estimation.

Self Paced
Self-Paced
Data Science: Inference and Modeling (edX) EdX
HarvardX,Harvard University

Data Science: Inference and Modeling (edX)

Learn inference and modeling, two of the most widely used statistical tools in data analysis. Statistical inference and modeling are indispensable for analyzing data affected by chance, and thus essential for data scientists. In this course, you will learn these key concepts through a motivating case study on election forecasting.

Self Paced
Self-Paced
Probability and Statistics III: A Gentle Introduction to Statistics (edX) EdX
Georgia Institute of Technology,GTx

Probability and Statistics III: A Gentle Introduction to Statistics (edX)

This course provides an introduction to basic statistical concepts. We begin by walking through a library of probability distributions – including the normal distribution, which in turn leads to the Central Limit Theorem. We then discuss elementary descriptive statistics and estimation methods.

Self Paced
Self-Paced
Probability and Statistics II: Random Variables – Great Expectations to Bell Curves (edX) EdX
Georgia Institute of Technology,GTx

Probability and Statistics II: Random Variables – Great Expectations to Bell Curves (edX)

This course discusses properties and applications of random variables. For instance, how many customers are likely to arrive in the next hour? What’s the probability that a lightbulb will last more than a year? When you’re done with this course, you’ll have enough firepower to undertake a wide variety of modeling and analysis problems; and you’ll be well-prepared for the upcoming Statistics courses.

Self Paced
Self-Paced
Budgeting and Finance for Public Libraries (edX) EdX
University of Michigan,MichiganX

Budgeting and Finance for Public Libraries (edX)

Understand financial concepts as well as well as effective practices in budgeting and auditing for library managers at all levels. Money isn’t generally the first topic that comes to mind when thinking about libraries, however it is a critical resource that touches every aspect of the organization. Whether you are an aspiring manager or a library director, it is important that your organization’s finances are aligned with your service goals and priorities.

Self Paced
Self-Paced
Corporate Finance (edX) EdX
Indian Institute of Management, Bangalore,IIMBx

Corporate Finance (edX)

Learn the ideas, concepts and tools managers use to make the right financial decisions. Business organizations are constantly engaged in financial decision-making related to financial planning, investments, capital purchases, etc. The right financial decisions play a critical role in maximizing an organization’s business value.

Self Paced
Self-Paced
Probability and Statistics I: A Gentle Introduction to Probability (edX) EdX
Georgia Institute of Technology,GTx

Probability and Statistics I: A Gentle Introduction to Probability (edX)

This course provides an introduction to basic probability concepts. Our emphasis is on applications in science and engineering, with the goal of enhancing modeling and analysis skills for a variety of real-world problems. In order to make the course completely self-contained (and to bring back long-lost memories), we’ll start off with Bootcamp lessons to review concepts from set theory and calculus.

Self Paced
Self-Paced
Fixed Income Portfolio Management (edX) EdX
New York Institute of Finance,NYIF

Fixed Income Portfolio Management (edX)

Learn how to construct and manage fixed income portfolios using the latest tools and techniques. Fixed Income Portfolio Management is a comprehensive survey of the key drivers and features of managing a portfolio of fixed income assets. This thorough and interactive course offers students like you, a detailed grounding in the full range of fixed income product categories and portfolio management techniques. Fixed Income Portfolio Management is a comprehensive survey of the key drivers and features of managing a portfolio of fixed income assets.

Self Paced
Self-Paced