Aaron Smith
Chapter 1  introduction to econometrics.
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Learning Objectives
 Define and describe the basics of econometrics
 Describe how to do an econometric study
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 Does the Law of Demand Hold for Electricity?
 Is it Possible to Forecast Stock Returns?
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 Econometrics is about making sense of economic data.
 Three steps to conducting econometric analysis. (1) State the purpose of the analysis, (2) Formulate the research design and specify the econometric model, (3) Apply statistical theory.
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ECONOMETRICS Chapter # 1: Introduction Domodar N. Gujarati
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CHAPTER 1: THE NATURE OF REGRESSION ANALYSIS
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Econometrics I
Class Notes
Professor W. Greene Department of Economics Office: MEC 790, Ph. 9980876 email: [email protected] Home page: http://people.stern.nyu.edu/wgreene
Abstract: This is an intermediate level, Ph.D. course in Applied Econometrics . Topics to be studied include specification, estimation, and inference in the context of models that include then extend beyond the standard linear multiple regression framework. After a review of the linear model, we will develop the asymptotic distribution theory necessary for analysis of generalized linear and nonlinear models. We will then turn to instrumental variables, maximum likelihood, generalized method of moments (GMM), and two step estimation methods. Inference techniques used in the linear regression framework such as t and F tests will be extended to include Wald, Lagrange multiplier and likelihood ratio and tests for nonnested hypotheses such as the Hausman specification test. Specific modelling frameworks will include the linear regression model and extensions to models for panel data, multiple equation models, and models for discrete choice.
Notes: The following list points to the class discussion notes for Econometrics I. These are Power Point (.pptx) files and pdf documents (.pdf).
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Introduction to Econometrics
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Introduction to Econometrics. Lecture 1 Introduction and overview of the course Definition, scope and methodology of econometrics A review of the simple (bivariate) linear regression model. Objectives. To provide you with information about
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Introduction to Econometrics Lecture 1 Introduction and overview of the course Definition, scope and methodology of econometrics A review of the simple (bivariate) linear regression model
Objectives To provide you with information about the subject of econometrics and the topics that we shall cover in the unit the learning teaching and assessment arrangements for the unit To review the simple bivariate linear regression model
Learning and Teaching Lectures and accompanying notes Problems classes (seminars) Computer lab sessions Office hours and “econometrics café” sessions Text books Web pages and links the econmet wiki One minute email and FAQs
Recommended texts Dougherty, C (2007) Introduction to Econometrics, Third Edition, OUP Gujarati, D N and Porter, DC (2009) Basic Econometrics, Fifth Edition, McGrawHill Kennedy, P (2003) A Guide to Econometrics, Fifth Edition, Blackwell Koop, G (2008) Introduction to Econometrics, John Wiley & Sons and others available in the Library in section 330.0182
Computer software for the lab classes The regression tool in Excel PcGive EViews
assessment end of unit exam (50% weighting) portfolio of practical solutions (20% weighting) assignment/report (30% weighting)
econometrics The measurement of economic relationships
econometrics “the application of mathematical statistics to economic data to lend empirical support to models constructed by mathematical economics and to obtain numerical estimates” (Samuelson et al., Econometrica, 1954)
aims of econometric modelling explanation policy evaluation forecasting
types of data crosssection timeseries panel
types of model simple bivariate linear nonlinear bivariate multiple regression dynamic simultaneous equation other (e.g. logit and probit) panel
Example: salesadvertising relationship suppose we wish to test the hypothesis that a firm’s sales are dependent upon it’s advertising the simplest model is sales = a + b*advertising + u where a and b are parameters to be estimated, u is an unobservable error term  a random disturbance this is an example of a simple bivariate regression model
sales and advertising time series plot
sales and advertising scatter diagram
general notation for the simple bivariate linear model for i = 1,2,…….n With time series data we tend use t rather than i as the subscript and T as the sample size
model specification the equation(s) – variables and functional form a priori restrictions on parameters stochastic assumptions (assumptions about the disturbance term)
assumptions about u mean zero constant variance independent between observations independent of the X variable
The role of the disturbance term Reasons for the disturbance omitted influences on Y errors of measurement errors in variables nonlinearity random nature of human behaviour
Econometric “problems” Reasons for the disturbance autocorrelation heteroskedasticity bias multicollinearity
Plant X Y FITTED Y 1 100 40 42.32 2 200 50 48.21 3 300 50 54.11 4 400 70 60.00 5 500 65 65.89 6 600 65 71.79 7 700 80 77.68 The unlikely case of control over sample design
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 Department of Economics >
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 Economics Seminar Series presents Joanna Lahey, Texas A&M University
Economics Seminar Series
Joanna Lahey, Texas A&M University
Joanna Lahey, Texas A&M University
(with marianne wanamaker), presentation title: "effects of restrictive abortion legislation on cohort mortality: evidence from 19th century law variation".
Permissive abortion policy is thought to improve the average wellbeing of children ever born, as evidenced by recent studies based on 20th century US data. Using 19th century restrictive abortion policy, we demonstrate a more nuanced relationship between policy and child wellbeing. Despite increased birth rates among abortionrestricted cohorts, we find little evidence of changes in wellbeing at birth through the standard channel of child selection, consistent with predictions from a generalized model. However, children in these larger cohorts were far more susceptible to mortality from infectious disease throughout childhood, implying different mechanisms linking abortion policy to child wellbeing.
DATE: Friday, September 8, 2023
TIME: 3:305:00 p.m.
LOCATION: Fronczak 444
 Washington State University
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WSU leaders give presentation on endowments and investing strategies
Leaders from the WSU Foundation and the university’s Finance and Administration team provided an overview of investments and endowments during a livestreamed presentation Wednesday afternoon.
Explanations of how endowments function, the different investing strategies the foundation and the university follow, and the tools used to maximize returns for the benefit of students and the wider university community were discussed by WSU Foundation President Mike Connell and Vice President for Finance and Administration Leslie Brunelli.
The complete presentation is available to watch online .
Central to the discussion was the distinction between the WSU Foundation and the university itself. While the former does support the latter, it was established long after the university and is responsible for investing private donations and funds that don’t include student tuition or state tax dollars.
The WSU Foundation manages approximately $722 million spread across more than 2,900 endowment accounts. The vast majority of that funding comes from private donors seeking to support a specific cause, such as scholarships for students, endowed faculty or deanships, as well as specific programs and activities.
When a donation is made, the foundation enters into agreement with the donor to invest the funds and use revenue generated in support of the agreed upon cause, Connell explained. On average, 4% of the endowment total is distributed each year. That amounted to $27 million in endowment distributions from the Foundation in fiscal year 2024.
The WSU Foundation uses an outside firm, Mercer, to assess the best way to allocate its funds. The largest portion of its funds, about 23%, are in U.S. equities, while significant portions are invested in private and international equities as well as hedge funds and real assets.
The Foundation does not purchase shares in individual companies. Rather, fund managers working on behalf of the university use tools like index funds to diversify investments in pursuit of maximized returns while minimizing risk. As an example, Connell noted that Mercer couldn’t provide WSU a figure on how much of the Foundation’s funds are invested in fossil fuels, but it can give an assessment in terms of the energy sector, amounting to 67 percent of the total endowment. And that figure include fossil fuel companies as well as companies working on green energy.
Brunelli noted that the university itself, meanwhile, invests some tuition dollars as well as funding from the state as its able. State law restricts the investment of these funds by separate 501c3 organizations like the WSU Foundation. Tuition and state funding are invested on behalf of WSU by the state’s treasurer’s office, with priority given to managing liquidity to ensure the university can pay its bills. Because of this, the university takes a more shortterm and riskadverse position compared to the foundation, Brunelli said.
As WSU and institutions of higher education continue to grapple with rising costs, Brunelli noted that private support and its facilitation by the foundation will be even more critical moving forward to ensure the longterm health of the institution.
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Full Transcript of Kamala Harris’s Democratic Convention Speech
The vice president’s remarks lasted roughly 35 minutes on the final night of the convention in Chicago.
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By The New York Times
 Aug. 23, 2024
This is a transcript of Vice President Kamala Harris’s speech on Thursday night in which she formally accepted the Democratic Party’s nomination for the presidency.
OK, let’s get to business. Let’s get to business. All right.
So, let me start by thanking my most incredible husband, Doug. For being an incredible partner to me, an incredible father to Cole and Ella, and happy anniversary, Dougie. I love you so very much.
To our president, Joe Biden. When I think about the path that we have traveled together, Joe, I am filled with gratitude. Your record is extraordinary, as history will show, and your character is inspiring. And Doug and I love you and Jill, and are forever thankful to you both.
And to Coach Tim Walz. You are going to be an incredible vice president. And to the delegates and everyone who has put your faith in our campaign, your support is humbling.
So, America, the path that led me here in recent weeks was, no doubt, unexpected. But I’m no stranger to unlikely journeys. So, my mother, our mother, Shyamala Harris, had one of her own. And I miss her every day, and especially right now. And I know she’s looking down smiling. I know that.
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Econometrics is about making sense of economic data. Three steps to conducting econometric analysis. (1) State the purpose of the analysis, (2) Formulate the research design and specify the econometric model, (3) Apply statistical theory. Click here to read the chapter (link works only for UC affiliates) Lecture Slides: Powerpoint PDF Learning ...
Download ppt "An Introduction to Econometrics". Principles of Econometrics, 4th Edition Chapter Contents 1.1 Why Study Econometrics 1.2 What is Econometrics 1.3 The Econometric Model 1.4 How Do We Obtain Data 1.5 Statistical Inference 1.6 A Research Format Principles of Econometrics, 4th Edition Chapter 1: An Introduction to Econometrics Page *.
I will categorize three broad areas that most econometric courses will fall into (note that this list is not a universally acknowledged taxonomy, but I ﬁnd it a useful heuristic): 1.Reduced form estimation  This is the type of econometrics that is most often used for Labor Economics and Public Economics.
Y is determined and may come from physics, economics, etc. The e ect of X j on Y holding X j and U constant (i.e., ceteris paribus) is determined by g. If gis di erentiable, then it is given by D X j g(X;U). If we assume further that g(X;U) = X0 + U; then the ceteris paribus e ect of X j on Y is simply j. We may normalize
Introductory Econometrics Slides Rolf Tschernig & Harry Haupt University of Regensburg University of Passau August 2020 1 1These slides were originally designed for the course "Intensive Course in Econometrics" that Rolf Tschernig and Harry Haupt created for the TEMPUS Project "New Curricula in Trade Theory and Econometrics" in 2009.
Bayesian methods in econometrics. James D Hamilton, University of California, San Diego. Bayesian statistics and its application to econometrics  lecture slides and notes from a course that ran from 2013 to 2015. The Powerpoint presentation comprises nearly 100 slides.
Introduction to econometric models and techniques, simultaneous equations, program evaluation, emphasizing regression. Advanced topics include instrumental variables, panel data methods, measurement error, and limited dependent variable models. May not count toward HASS requirement.
nd Mark. M. Watson, Introduction to Econometrics (3rd. edition update. son, 2015.Chapter 112, 13.113.5 and 13.7, 14.114.6 and 14.8. Lecture slidesExam:Written examination on 25 May at 02:30 (3 hours) Open book examin. ll printed and written resources, in addition to calculator, are allowe.
Ppt 1 Introduction to Econometrics  Free download as Powerpoint Presentation (.ppt), PDF File (.pdf), Text File (.txt) or view presentation slides online. This document provides an introduction to econometrics. It discusses how econometrics is used to model empirical economic relationships and support decision making. Econometrics combines insights from economics, statistics, mathematics and ...
Introduction Econometrics.ppt  Free download as Powerpoint Presentation (.ppt / .pptx), PDF File (.pdf), Text File (.txt) or view presentation slides online. This document discusses econometrics and provides definitions and examples. It defines econometrics as the application of statistical methods to economic data. Econometrics allows economists to empirically test economic theories and ...
Estimation of the parameters of the econometric model 6. Hypothesis testing 7. Forecasting or prediction 8. Using the model for control or policy purposes. To illustrate the preceding steps, let us consider the wellknown Keynesian theory of consumption. 6 1. Statement of Economic Theory or Hypothesis.
Notes: The following list points to the class discussion notes for Econometrics I. These are Power Point (.pptx) files and pdf documents (.pdf). 1. Introduction: Paradigm of Econometrics ( pptx) ( pdf) 2. The Linear Regression Model: Regression and Projection ( pptx) ( pdf) 3. Linear Least Squares, Regression Fit, Transformations ( pptx) ( pdf) 4.
Treatment Effects (PDF) Below are the data and codes for this lecture, in case you want to apply this one day. Data and Codes. Rcode and data for lectures 1112. Rcode NPA Functions (R) Rcode 401kATE (R) Data for Lecture 10 (DTA) Rcode for 401kQTE (R) This section contains the lecture notes used in the course.
IntroductionMethodology of Econometrics (8) Using model for control or policy purposes Y=4000= 231.8+0.7194 X X 5882 MPC = 0.72, an income of $5882 Bill will produce an expenditure of $4000 Bill. By fiscal and monetary policy, Government can manipulate the control variable X to get the desired level of target variable Y.
Slides, syllabus and reading list from an AEA Continuing Education short course run in January 2022. The course "examines the interplay between data design, and statistical inference and decisions. We will examine classic sampling and experimental designs, but also alternatives such as adaptive randomization designs and multiarmed bandits ...
Presentation Transcript. Introduction to Econometrics Lecture 1 Introduction and overview of the course Definition, scope and methodology of econometrics A review of the simple (bivariate) linear regression model. Objectives To provide you with information about the subject of econometrics and the topics that we shall cover in the unit the ...
Economics & Econometrics Major for College Presentation . Education . Premium Google Slides theme, PowerPoint template, and Canva presentation template . If you want to study economics or econometrics (or both), be prepared to feel comfortable with numbers! But first, let's use this new template, which is totally customizable, to create a ...
Motivation Manydisruptiveindustrieshavehadalifecycle:Entry! Shakeout! Concentration GortandKlepper,1982;KlepperGraddy,1990;KlepperSimons,2005 Recently ...
Presentation title: "Effects of Restrictive Abortion Legislation on Cohort Mortality: Evidence from 19th Century Law Variation" Permissive abortion policy is thought to improve the average wellbeing of children ever born, as evidenced by recent studies based on 20th century US data.
The complete presentation is available to watch online. Central to the discussion was the distinction between the WSU Foundation and the university itself. While the former does support the latter, it was established long after the university and is responsible for investing private donations and funds that don't include student tuition or ...
The vice president's remarks lasted roughly 35 minutes on the final night of the convention in Chicago. By The New York Times This is a transcript of Vice President Kamala Harris's speech on ...