Reference dependence is a central principle in prospect theory and behavioral economics generally. It holds that people evaluate outcomes and express preferences relative to an existing reference point, or status quo. It is related to loss aversion and the endowment effect. In prospect theory it is appropriate to use the selected status quo to determine the reference point. However, depending on the particular research being conducted researchers have proven reference dependence from more than just well known brands and the status quo. The types of reference points used varies but studies have used individual goals, aspirations and social comparisons. Alternative reference points are used by researches commonly in the school of phycology but present some challenges to the methodologies of studies. Measuring reference dependence in field studies and laboratory experiments presents challenges as reference point values are unique to individuals, they are highly malleable and can be predetermined based on life experiences. Reference dependence studies are commonly critiqued on the context in which they provoke responses and to the accuracies in measuring highly malleable reference points. Reference points that appear to be random in nature can also influence the decision of the individual choice. Ariely et.al (2003) were able to show that when a random variable is assigned to an individual that they will use that as reference point for the pricing of items. Through a series of lottery and chance experiments, individuals were influenced in their pricing decisions based on a randomised reference point. Multiple reference points can simultaneously manipulate the individuals perspective of an outcome. A gain in the value of a product relative to the reference point can become null as the individual compares at the same time to a reference point that decreases the value of the product. (Wikipedia).
How to Determine if Functions are Linearly Independent or Dependent using the Definition
How to Determine if Functions are Linearly Independent or Dependent using the Definition If you enjoyed this video please consider liking, sharing, and subscribing. You can also help support my channel by becoming a member https://www.youtube.com/channel/UCr7lmzIk63PZnBw3bezl-Mg/join Th
From playlist Zill DE 4.1 Preliminary Theory - Linear Equations
Limits of correlation (applied)
Correlation is a standardized covariance (i.e., translated into unit-less form with volatilities). It cannot be used alone: (i) it can be "distorted" by low volatilities, and (ii) it does not give information revealed by the scatter (in this example, both hedge fund series are similarly co
From playlist Statistics: Introduction
This question explores the concept of linear dependence. Presented by Dr Daniel Mansfield from the UNSW School of Mathematics and Statistics.
From playlist Mathematics 1B (Algebra)
Calculus 3.03d - Derivative Example 3
Another example of finding a derivative using the definition of a derivative.
From playlist Calculus Ch 3 - Derivatives
RELATIONSHIPS Between Variables: Standardized Covariance (7-1)
Correlation is a way of measuring the extent to which two variables are related. The term correlation is synonymous with “relationship.” Variables are related when changes in one variable are consistently associated with changes in another variable. Dr. Daniel reviews Variance, Covariance,
From playlist Correlation And Regression in Statistics (WK 07 - QBA 237)
An Introduction to Linear Regression Analysis
Tutorial introducing the idea of linear regression analysis and the least square method. Typically used in a statistics class. Playlist on Linear Regression http://www.youtube.com/course?list=ECF596A4043DBEAE9C Like us on: http://www.facebook.com/PartyMoreStudyLess Created by David Lon
From playlist Linear Regression.
Definition of derivative in terms of a limit, (def 1)
Definition of derivative, calculus 1 homework solution. #calculus Check out my 100 derivatives: https://youtu.be/AegzQ_dip8k
From playlist Sect 2.7, Definition of Derivative
Covariance (1 of 17) What is Covariance? in Relation to Variance and Correlation
Visit http://ilectureonline.com for more math and science lectures! To donate:a http://www.ilectureonline.com/donate https://www.patreon.com/user?u=3236071 We will learn the difference between the variance and the covariance. A variance (s^2) is a measure of how spread out the numbers of
From playlist COVARIANCE AND VARIANCE
Linear Algebra 6d: The Equivalence of the Two Definitions of Linear Dependence
https://bit.ly/PavelPatreon https://lem.ma/LA - Linear Algebra on Lemma http://bit.ly/ITCYTNew - Dr. Grinfeld's Tensor Calculus textbook https://lem.ma/prep - Complete SAT Math Prep
From playlist Part 1 Linear Algebra: An In-Depth Introduction with a Focus on Applications
Lecture 9: Reference-Dependent Preferences
MIT 14.13 Psychology and Economics, Spring 2020 Instructor: Prof. Frank Schilbach View the complete course: https://ocw.mit.edu/14-13S20 YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP63Z979ri_UXXk_1zrvrF77Q In this video, Prof. Schilbach explains reference-dependent p
From playlist MIT 14.13 Psychology and Economics, Spring 2020
Top 50 Maven Interview Questions And Answers 2020 | Maven Tool Interview Questions | Simplilearn
🔥DevOps Engineer Master Program (Discount Code: YTBE15): https://www.simplilearn.com/devops-engineer-masters-program-certification-training?utm_campaign=Top50MavenInterviewQuestions-t86YyNdDz0w&utm_medium=Descriptionff&utm_source=youtube 🔥Post Graduate Program In DevOps: https://www.simpli
From playlist DevOps Tutorial For Beginners 🔥 | Simplilearn [Updated]
Maven Full Course - Learn Maven From Scratch In 2 Hours | Maven Tutorial For Beginners | Simplilearn
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From playlist DevOps Tutorial For Beginners 🔥 | Simplilearn [Updated]
Stanford CS224N - NLP w/ DL | Winter 2021 | Lecture 4 - Syntactic Structure and Dependency Parsing
For more information about Stanford's Artificial Intelligence professional and graduate programs visit: https://stanford.io/3w4757l Syntactic Structure and Dependency parsing 1. Syntactic Structure: Consistency and Dependency (30 mins) 2. Dependency Grammar and Treebanks (15 mins) 3. Tran
From playlist Stanford CS224N: Natural Language Processing with Deep Learning | Winter 2021
GORUCO 2017: How to Load 1m Lines of Ruby in 5s by Andrew Metcalf
How to Load 1m Lines of Ruby in 5s by Andrew Metcalf Applications written in Ruby, Python and several other popular dynamic languages become very slow to boot as they grow to millions of lines of code. Waiting to reload code in development becomes a major frustration and drain on producti
From playlist GORUCO 2017
Advanced TypeScript Tooling at Scale
Tooling has always been a focus for TypeScript and a large reason for its success. TypeScript code intelligence is available across many editors and even web-based tools, all provided by the same service TypeScript ships out-of-the-box with the compiler itself. This presentation gives a to
From playlist TypeScript
Maven Tutorial For Beginners | Introduction To Maven | Maven Explained | Maven Tutorial |Simplilearn
🔥DevOps Engineer Master Program (Discount Code: YTBE15): https://www.simplilearn.com/devops-engineer-masters-program-certification-training?utm_campaign=MavenTutorialForBeginners-b93NNK2J3GM&utm_medium=Descriptionff&utm_source=youtube 🔥Post Graduate Program In DevOps: https://www.simplilea
From playlist DevOps Tutorial For Beginners 🔥 | Simplilearn [Updated]
Nonequilibrium response theory (Lecture 2) by Christian Maes
PROGRAM : FLUCTUATIONS IN NONEQUILIBRIUM SYSTEMS: THEORY AND APPLICATIONS ORGANIZERS : Urna Basu and Anupam Kundu DATE : 09 March 2020 to 19 March 2020 VENUE : Madhava Lecture Hall, ICTS, Bangalore THIS PROGRAM HAS BEEN MODIFIED ONLY FOR LOCAL (BANGALORE) PARTICIPANTS DUE TO COVID-19 RI
From playlist Fluctuations in Nonequilibrium Systems: Theory and Applications
This video provides a lesson on dependent function and verifying given functions are linear dependent. Site: http://mathispower4u.com
From playlist Second Order Differential Equations
Lecture 6 covers dependency parsing which is the task of analyzing the syntactic dependency structure of a given input sentence S. The output of a dependency parser is a dependency tree where the words of the input sentence are connected by typed dependency relations. Key phrases: Depende
From playlist Lecture Collection | Natural Language Processing with Deep Learning (Winter 2017)