This department's YouTube channel has around a hundred videos, organised into playlists about international economics, macro principles, intermediate macro, and statistics for social and behavioural sciences.
Subjects in Statistics for Economists
This site aims "to provide free, high quality, interactive, web-based resources for students and teachers of probability and statistics" It covers probability, statistics and "special models" such as finite sampling models and the Poisson process - they are presented here with text and interactive Java tutorials. Each page suggests mathematical exercises and simulation exercises, with some external links. The site requires the Mozilla Firefox browser (version 1.5 or later), with the MathML fonts installed, and with the Java plug-in (version 1.5 or later).
Not specifically aimed at economists, but this is an overview of errors and fallacies in the use of statistics for scientific inference. It presumes no prior knowledge of statistics. Base rate fallacies, underpowered tests, misinterpretation of significance, and regression to the mean are among the topics.
A 61-slide presentation about graphical presentation of data. The link includes a text transcript, an online viewer and the facility to download the file as an OpenDocument Presentation.
This is a complete Java-based tutorial in introductory statistics, which can be used online or downloaded for offline use. It exposes the students to many data sets and uses interactive graphs which the student can alter by sliding controls. You must register to use this site.
School of Data is an extensive site aiming "to empower civil society organizations, journalists and citizens with the skills they need to use data effectively." The site includes many textual "courses" explaining topics such as Exploring and Understanding Data, Common Misconceptions, Data Cleaning, or Data Journalism. There are also "recipes" explaining how to do tasks with specific tools. Often the tools are simple and freely available, such as Google Spreadsheets. The content is freely reusable and makes copious use of graphs and illustrations.
These case studies in data search, management and economic interpretation are aimed at first-time students of economics. They are downloadable in Word format with embedded links, to adapt, print and/or put in a virtual learning environment. They were produced by Dean Garratt and Stephen Heasell, Nottingham Trent University as part of an Economics Network project. They cover topics such as economic growth, house prices, household debt, consumption spending and government spending.
Various materials from this course have been shared through Jorum, the national archive of open learning materials. They include presentation slides on these topics:
- Measurement, frequency tables, mean, median, mode, range and standard deviation
- Using and Sourcing Secondary Data
- Sampling and selecting
- Correlation and Simple Linear Regression
- Hypotheses, Probability, Chi-Square and T-Tests
- Binary and multinomial logistic regression using examples from the Social Capital Teaching Dataset (ESDS)
- Research Designs for Quantitative Methods
This site, hosted by the UK-based academic Chris Longmore, comprises a series of 'screencasts' (live captures of a computer screen). Each screencast demonstrates software that will be useful to students and teachers. For example, Longmore shows how to create tables and perform statistical operations using the analysis software SPSS. His datasets are available for download. Other software includes E-Prime, SuperLab, and Blackboard. The videos vary in resolution and length. They require Apple Quicktime version 7. Although designed for first year Psychology students the videos should be useful for teachers, students and researchers of Economics as well.
Part of the MIT OpenCourseWare website, this page provides access to all the materials for Introduction to Statistical Method in Economics, as taught by Herman Bennett in spring 2006. The site includes a course syllabus, details of readings, lecture notes, assignments, exams and links to related Internet resources. Users can access the course online or download the whole thing as a .zip file.
This is an open online course, available freely to independent learners but with a fee for students. The course makes much use of online text, diagrams and interactive assignments. It is comprised of four units: Exploratory Data Analysis, Producing Data, Probability and Inference. These are subdivided into a total of twelve modules and more than two hundred "pages" of material.
This is an open online course, available freely to independent learners but with a fee for students who want feedback from an instructor. The course makes much use of online text, diagrams and interactive assignments. It is comprised of four units: Exploratory Data Analysis, Producing Data, Probability and Inference. These are subdivided into a total of twelve modules and more than two hundred "pages" of material. It is similar to the companion course on Statistical Reasoning, but with a more classical treatment of probability.
Free site combining short video tutorials and online self-test quizzes. The videos can also be viewed in YouTube. The top-level topics are Independent and dependent events; Probability and combinatorics; Descriptive statistics; Random variables and probability distributions; Regression; and Inferential statistics. Each of these is broken down into dozens of points. There are also forums for asking questions related to the material.
An interactive tutorial combining graphs, text and interactive features. Twenty-five units cover topics from rounding and central tendency up to regression lines and Chi squared tests
Detailed lecture notes in PDF, reading list, past exams, and assignments from a 2009 course based on Larsen and Marx. Introduction to Mathematical Statistics and Its Applications. Available in Turkish as well as English.
This is a 21'24" talk about statistical fallacies, recorded in July 2005. It can be watched online or downloaded in a variety of formats.
These free course materials require a login, either via Google, Facebook or a Udacity account. They cover "Visualizing relationships in data", "Probability", "Estimation", "Outliers and Normal Distribution", "Inference", and "Regression". The "classroom" link takes you to a large number of short YouTube videos each explaining a different step. The "Materials" link takes you to detailed, line by line transcripts which can be downloaded as PDFs. These include some formative questions. As with other MOOCs, there is a forum for learners to discuss questions arising from the material.
These free course materials require a login, either via Google, Facebook or a Udacity account. The course is organised in six modules and aims to cover the basics of statistical research using everyday examples. The "Materials" button links to downloadable videos, an index of concepts and a booklet of notes. "Classroom" leads to a series of short videos with interactive features. As with other MOOCs, there is a forum where learners can discuss questions.
Video lectures of various lengths, including a series of TED talks, showing how statistical data illuminate the development and welfare of countries.
Nearly sixty videos of varying lengths, in a narrated-slideshow format, with detailed tables of contents.
This site has worksheets, short case-studies and other materials to promote data-handling skills and statistical literacy. Tips are given on how to locate and verify data, how to meaningfully test and present it and how to detect misrepresentations and fallacies. There is a glossary and illustrations of how businesses make use of data. The site is part of the Biz/ed service and uses data from MIMAS.
An introductory tutorial on the use of Excel with time-series data, divided into four pages with screenshots, part of the TimeWeb part of the Biz/ed service. It aims to "develop your data-handling skills; building your confidence by using a sample set of data from (UK) National Statistics".
This course webpage supports an introductory module on quantitative economics as taught by Fowad Murtaza and Domenico Tabasso at the University of Essex in 2009/10. It introduces students to the methods of quantitative economics, i.e. to how data are used in economics. Beginning from an elementary level (assuming no background in statistics), the course shows how economic data can be described and analysed. The elements of probability and random variables are introduced in the context of economic applications. The probability theory enables an introduction to elementary statistical inference: parameter estimation, confidence intervals and hypothesis tests. With these foundations, students are then introduced to the linear regression model that forms a starting point for econometrics. It includes a course outline / handbook, lecture presentations, lecture notes, coursework assignments, problem sets with solutions and statistical data.
The StatSoft statistics textbook glossary has an extensive number of entries and includes lots of graphics and hyperlinks. Entries in the Statistical Glossary are taken from the Electronic Manual of STATISTICA and may contain elements that refer to specific features of the STATISTICA system.
This glossary of statistical terms dates from 1997 and makes use of comprehensive explanations, occasionally including basic graphics. It is searchable and contains links between entries, where one term is included in the definition of another term. It has been created to promote the PROPHET Statistical package.
This large single document covers econometrics as well as statistics terms, and comes with various other materials for teaching statistics, including some pages with Java. It is part of the SticiGui (Statistics Tools for Internet and Classroom Instruction with a Graphical User Interface) tutorial site.
StatNotes : Topics in Multivariate Analysis is a textbook written by G. David Garson of North Carolina State University for a public administration course. This online version contains articles on a range of statistical topics ranging from Association to Weighted Least Squares (WLS) Regression. Articles typically contain an overview, an explanation of key concepts and terms, assumptions, frequently asked questions and a bibliography. Some of the articles also contain SPSS data / outputs with commentary.
This is a set of online tools for performing statistical tests, generating random data or exact distributions, along with links to short explanations of statistical topics.
Seeing Statistics is an online text book teaching statistics using the Internet. It requires registration before full use, but a sample tour is available for free. Text includes glossary and calculator. The site uses a succession of pop-up boxes for navigation which may be confusing to users or not appear if pop-ups are disabled by your Internet browser.
Webcasts of 28 lectures from a course given in 2009, available freely through iTunes.
The Chance project aims to help teachers and lecturers teach a basic understanding of probability and statistics. This page hosts examples of probabilistic and statistical reasoning, with links to related activities, simulations, videos, and data sets. Related links are also included.
This is a free online textbook on probability and statistics, making a lot of use of algebra. It starts with revision of mathematical tools including differentiation, has sections on foundations of probability and moves to more advanced topics such as Markov's inequality, probability mass and density, asymptotic theory and mathematical foundations of statistics. The site comes with a glossary.
First Bayes is a teaching package for elementary Bayesian statistics. Distributions from any of thirteen standard families may be plotted and many summaries computed. The prior distribution, likelihood and posterior distribution can be plotted on a single "triplot". First Bayes is offered free to anyone interested in teaching or learning Bayesian Statistics, provided it is not used for profit.
Statistics for the Terrified covers all the techniques required by undergraduate students and many researchers in a user-friendly, common sense, non-mathematical and highly interactive way. Version 5.0 is suitable for undergraduate students and many researchers. The LITE edition covers all the most essential areas: it is aimed at students who are working towards passing a unit or module within their main area of study. It is not suitable for those who intend to pursue research themselves. Users will need an individual or institutional license.
This glossary of statistical terms is aimed at students of Business, Biology, Geography and Psychology and is browsable alphabetically and by topic. About 150 statistical terms are explained with graphs and extensive hyperlinks. STEPS is the STatistical Education through Problem Solving project funded by the UK's Teaching and Learning Technology Programme. The glossary is also available as part of a downloadable set of courseware materials for Windows and Mac.
The Royal Statistical Society Centre for Statistical Education aims to "promote the improvement of statistical education, training and understanding at all ages". Their website includes information on teaching statistics in higher education, details of courses on specific statistical teaching topics and details of their collaboration with the Higher Education Academy Maths, Stats and OR Network.
From Agreement to Z-Score this large glossary of statistical terms is taken from the online SurfStat text book. It includes links to relevant text paragraphs in the book and makes use of hyperlinks between terms within the glossary.
On these pages are several Java applets with which to illustrate various statistical concepts such as regression, confidence limits and the Central Limit Theorem. The applets "provide interactive instruction on the Web and also to provide access to research procedures".
Thousands of statistical and economic terms are searchable and alphabetically browsable, along with terms related to development and ecology.
The Introduction to Business Statistics Database (IBSD) contains more than eight hundred questions, about half multiple-choice, with answers at the foot of the page. They are selected from a huge database of questions and answers developed under National Science Foundation (NSF) funding in the mid 1970s.
This course page supports an MBA course at the University of Portland, as taught by Todd Easton in 2008. It covers Statistical and Quantitative Analysis and presents tools for descriptive statistics and details their effective use. The page features a range of course materials - syllabus, past exams, Java applets etc. but perhaps most importantly it includes a booklet on Excel skills, with accompanying data.
These SurfStat exercises with solutions, contain question sheets for introductory statistics and use simple linking to direct the reader to the answers.
HyperStat online is an introductory statistics textbook by David Lane of Rice University. It is arranged into 18 chapters, uses many interactive demonstrations and the textual content is broken into small chunks on successive pages. Each chapter ends with exercises, and offers selected answers. It also includes links to related material, recommended books and more information on how to use HyperStat in teaching.
The StatSoft: electronic statistics textbook is an online text introducing statistical concepts. It "begins with an overview of the relevant elementary (pivotal) concepts and continues with a more in depth exploration of specific areas of statistics." A glossary of statistical terms and a list of references for further study are included.
SurfStat Australia is an online text in introductory Statistics produced at the University of Newcastle in Australia. It has five main sections: "Summarising and Presenting Data," "Producing Data," "Variation and Probability," "Statistical Inference" and "Control Charts". Text and images are interspersed with simple interactive quizzes.
Gemodel 3.2 simulates neo-classical economic models such as those found in price theory, public finance, international trade, and economic development textbooks. This software is designed to calculate numerical solutions for non-linear general equilibrium models so that the comparative static results of economic theory may be illustrated. Policy analysis can also be undertaken. Production is modelled using a variable return CES production function for two or three industries, whilst consumption is represented using a CES utility function for 1-19 household classes. The model can also be used in international trade, public finance and welfare. Users will need to purchase a license to use the software.
Statistical analysis package available for PC and Mac, claiming to be user friendly while also suitable for "heavy duty" statistical work. Academic discounts are available.