Predetermined variables are variables that were determined prior to the current period. In econometric models this implies that the current period error term is uncorrelated with current and lagged values of the predetermined variable but may be correlated with future values. This is a weaker restriction than strict exogeneity, which requires the variable to be uncorrelated with past, present, and future shocks. A common example of a predetermined variable is consumption in models with credit constraints and rational expectations. Here, consumption is predetermined but not strictly exogenous. An unpredictable negative income shock will be uncorrelated with past (and potentially current) consumption, but will surely be correlated with future consumption—the individual will be forced to adjust their future consumption to accommodate their poorer state, inducing correlation. If the shock affects current consumption, predeterminedness (defined now as lags only) provides potential instruments--lagged values of the variable. Predeterminedness, or sequential exogeneity, is commonly invoked in dynamic panel models. Predetermined variables can be shown as: E(uis|xit) =0 where s > t. The presence of predetermined variables is a motivating factor in the Arellano–Bond estimator. (Wikipedia).
Pre-Calculus - The vocabulary of linear functions and equations
This video will introduce you to a few of the terms that are commonly used with linear functions and equations. Pay close attention to how you can tell the difference between linear and non-linear functions. For more videos please visit http://www.mysecretmathtutor.com
From playlist Pre-Calculus
Prealgebra 2.07b - Evaluating Expressions
Evaluating expressions for given values of the variables. From the Prealgebra course by Derek Owens. This course is available online at http://www.LucidEducation.com.
From playlist Prealgebra Chapter 2 (Complete chapter)
Prob & Stats - Random Variable & Prob Distribution (1 of 53) Random Variable
Visit http://ilectureonline.com for more math and science lectures! In this video I will define and gives an example of what is a random variable. Next video in series: http://youtu.be/aEB07VIIfKs
From playlist iLecturesOnline: Probability & Stats 2: Random Variable & Probability Distribution
(PP 3.1) Random Variables - Definition and CDF
(0:00) Intuitive examples. (1:25) Definition of a random variable. (6:10) CDF of a random variable. (8:28) Distribution of a random variable. A playlist of the Probability Primer series is available here: http://www.youtube.com/view_play_list?p=17567A1A3F5DB5E4
From playlist Probability Theory
From playlist STAT 501
The measurement problem and some mild solutions by Dustin Lazarovici (Lecture - 04)
21 November 2016 to 10 December 2016 VENUE Ramanujan Lecture Hall, ICTS Bangalore Quantum Theory has passed all experimental tests, with impressive accuracy. It applies to light and matter from the smallest scales so far explored, up to the mesoscopic scale. It is also a necessary ingredie
From playlist Fundamental Problems of Quantum Physics
Pre-Calculus - Solve a linear equation that has no solution
This video shows an example of a linear equation that has no solution. Note how the variables drop away entirely and the statement left over is completely false. That is the clue there is no solution. For more videos please visit http://www.mysecretmathtutor.com
From playlist Pre-Calculus - Linear Functions
The measurement problem and some mild solutions by Dustin Lazarovici (Lecture - 03)
21 November 2016 to 10 December 2016 VENUE Ramanujan Lecture Hall, ICTS Bangalore Quantum Theory has passed all experimental tests, with impressive accuracy. It applies to light and matter from the smallest scales so far explored, up to the mesoscopic scale. It is also a necessary ingredie
From playlist Fundamental Problems of Quantum Physics
Hidden Variables—How We Know They Don't Exist In Quantum Mechanics
In this video I show you what a hidden variable is and then show you a proof of Bell's Theorem that shows how we know that hidden variables don't exist in quantum mechanics. Some of the information in this video was adapted from DrPhysicsA (https://www.youtube.com/watch?v=qd-tKr0LJTM). I h
From playlist The Action Lab Does Quantum Mechanics
Prealgebra 2.09a - Introduction to Equations
An intro to equations. What equations are, equations that involve variables, and what it means for a number to be a solution to an equations. From the Prealgebra course by Derek Owens. This course is available online at http://www.LucidEducation.com.
From playlist Prealgebra Chapter 2 (Complete chapter)
32. Chemical and Biological Effects of Radiation, Smelling Nuclear Bullshit
MIT 22.01 Introduction to Nuclear Engineering and Ionizing Radiation, Fall 2016 Instructor: Michael Short View the complete course: https://ocw.mit.edu/22-01F16 YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP61FVzAxBP09w2FMQgknTOqu Radiation damage to organisms is expl
From playlist MIT 22.01 Introduction to Nuclear Engineering and Ionizing Radiation, Fall 2016
Origin of Markov chains | Journey into information theory | Computer Science | Khan Academy
Introduction to Markov chains Watch the next lesson: https://www.khanacademy.org/computing/computer-science/informationtheory/moderninfotheory/v/a-mathematical-theory-of-communication?utm_source=YT&utm_medium=Desc&utm_campaign=computerscience Missed the previous lesson? https://www.khana
From playlist Journey into information theory | Computer Science | Khan Academy
1957 - 1960's IBM 705 Mainframe Computer Data Processing- USAF Military Punch Card, Educational
This film provides a good depiction of a 1957-1960's era data processing installation at a U.S. Air Base. - Titled: "Logistic Support Management in Advanced Weapons." Although the letters “IBM” were apparently taped over by the original film producers, the equipment is clearly an ear
From playlist Computers of the 1960's
Classes And Objects In Python | Python OOP Tutorial | Python Tutorial For Beginners | Simplilearn
🔥Artificial Intelligence Engineer Program (Discount Coupon: YTBE15): https://www.simplilearn.com/masters-in-artificial-intelligence?utm_campaign=ClassesAndObjectsPythonSep27&utm_medium=Descriptionff&utm_source=youtube 🔥Professional Certificate Program In AI And Machine Learning: https://ww
From playlist Python Programming Tutorials 🔥[2022 Updated]
Researchers Mislead with Alternative Facts and Bad Pseudo-Science (Parody)
Lies, damned lies, and alternative facts...the fictitious research team of Lyon-Miazhov parodies the misuse of statistics in scientific research. You have questions, they make up the answers that you want to hear. Moving from unwarranted assumptions to predetermined conclusions, they will
From playlist Stats Blocks, Research Methods, Designs, and All Things Statistics
Objects And Classes In Python | Python Objects And Classes Tutorial | Python Tutorial | Simplilearn
🔥Artificial Intelligence Engineer Program (Discount Coupon: YTBE15): https://www.simplilearn.com/masters-in-artificial-intelligence?utm_campaign=ObjectandClassesinPython-jaPURUUGa_0&utm_medium=Descriptionff&utm_source=youtube 🔥Professional Certificate Program In AI And Machine Learning: ht
Using Variables in Science – The Foundations of Statistical Analysis and Scientific Testing (1-5)
Continuing our discussion about variables, you will learn how variables are used in science. Specifically, when we do statistics, we need independent and dependent variables. Independent variables are often categorical (groups) and dependent variables are typically measured on a scale. You
From playlist WK1 Numbers and Variables - Online Statistics for the Flipped Classroom
Prealgebra 1.5c - Multiplication by One or Zero
Multiplication by One or Zero, and how these concepts can be expressed in a general form using a variable. From the Prealgebra course by Derek Owens. This course is available online at http://www.LucidEducation.com.
From playlist Prealgebra Chapter 1 (Complete chapter)
Spooky Action at a Distance (Bell's Inequality) - Sixty Symbols
Professor Mike Merrifield discusses Bell's Inequality, and what Einstein dubbed "Spooky Action at a Distance". More links and info below ↓ ↓ ↓ Professor Merrifield is an astronomer at The University of Nottingham: http://bit.ly/NottsPhysics Mike Merrifield Playlist: http://bit.ly/Merrifi
From playlist Mike Merrifield - Sixty Symbols