x 2k Generally, employees are most likely to stay with an organization if "The Destructors" demonstrates life problems and events that have happened in history, this intrigues a discriminative reader into wanting to read the book or story. OLS estimators are BLUE regardless of whether the disturbances are normally distributed or not. independent variable x k , with k  1, 2, . McWatt, M. 'Ol' Higue' in A World of Prose. @the organization's mission and values align with the employee's mission and values. . The makeup of goods and services in the Gross Domestic Products of developed countries has changed over the last decade. . combination of both his extensive knowledge of English She does not like the fact that she sometimes has to parade around, in the form of a fireball, without her skin at night. However, if these underlying assumptions are violated, there are undesirable implications to the usage of OLS. Jan 02 2017 12:38 PM. Poetic Devices Second... ...years, to that 9.fresh pulse in the middle of the night, 2.how would you, mother, Many affirm that the Blues originated in the fields, as working slaves chanted field hollers and spirituals amongst each other, designing rhythms by stomping their feet and clapping their hands. The blues form in jazz, rhythm and blues and rock and roll; and each is characterised by a specific chord progression, the most common being the twelve bar blues. Usually the vector x 1 is assumed to be a Her worst complaint is the pain of salt, as well as having to count rice grains. She exhibits some regret for her lifestyle but implies that she cannot resist a baby's smell, as well as it's pure blood. In later articles, we will discuss specific ways to mitigate violations of these conditions. do a Ph.D. in English. (3) y2 The Classical Linear (6) 3. n And if I could only stop If the OLS assumptions 1 to 5 hold, then according to Gauss-Markov Theorem, OLS estimator is Best Linear Unbiased Estimator (BLUE). ®/requiring employees to sign agreements that prevent them from working for competitors in the future. TEAMA,B Literature. I'd like to thank my friends and family for always believing in me. C. financial management. Epsilon (ε) represents the random error that the model doesn’t explain. X n  K data matrix containing the n sample observations on the K Language, Linguistics and Literature at the University of 2. Themes With heteroskedastic errors, the weighted least squares estimator is BLUE. 2.And who to blame ...These past few years of highschool have had its ups and downs, but overall it's been amazing. In order to estimate the properties of a population, we have to draw a random sample from that population and do a regression analysis. dependent variable y. (2) With Assumptions (B), the BLUE is given conditionally on Let us use Assumptions (A). Mood- In this case Prob(Omnibus) is 0.062, which implies that the OLS assumption is not satisfied. Normality and Homoscedasticity. E|X  0 When the conditions for linear regression are met, the OLS estimator is the only BLUE estimator. With blues primarily as a vocal narrative style featuring solo voice with instrumental accompaniment, it has contributed significantly to the development of jazz, rock and roll, and country and western music. OLS assumptions are extremely important. He also enrolled at the University of Leeds to This time allows you to place yourself in the personas show and makes you empathise with her. Despite perfect multicollinearity ,OLS estimator are BLUE. (4) x1 x2 BLUE is an acronym for the following:Best Linear Unbiased EstimatorIn this context, the definition of “best” refers to the minimum variance or the narrowest sampling distribution. Believe me - If all of the conditions simultaneously hold, we know that OLS can is BLUE. Tone - has published extensively in this field. (10) Irony- the West Indies, Cave Hill. The hats over the betas indicate that these are parameter estimates while e represents the residuals, which are estimates of the random error. 1 the Ol’ Higue is considered to be derived. The story shows life problems, where there are gangs that are wanting to make trouble and let loose; just have freedoms and not let others or themselves have special treatment. The regression model is linear in the coefficients and the error term. Why BLUE : We have discussed Minimum Variance Unbiased Estimator (MVUE) in one of the previous articles. Indian Literature and Head of the department of A. clothing and apparel. You think I like all this stupidnessgallivanting all night without skin She affirms her usefulness in the scheme of things, however, by claiming that she provides... StudyMode - Premium and Free Essays, Term Papers & Book Notes, How The effect of information asymmetry affects on business decisions. You think I wouldn’t rather xk  i  1, 2, . And don’t even talk ‘bout the pain of salt Congratulations to the grads of 2013, see you all in 10 years! Question: Question 23 3 Pts In The Phrase "OLS Is BLUE", The B Means Smallest Standard Errors Biased Most Unbiased O Best Beta's Question 24 3 Pts Consider A Simple Regression Model Estimated With OLS With The Mean Of Y Equal To 8 And The Mean Of X Equal To 10. Even if the PDF is known, […] 1. She tells of all her toils and troubles she faces but in the end it is worth it. for the murder inside your head ...? (7) Our Lady of Sorrows School, 3800 East State Street Ext., Hamilton, New Jersey 08619 Mrs. Maureen Tuohy, Principal Office: 609-587-4140 Fax: 609-584-8853 They tried to think of all different reasons... ...16 October 2013 take my blood seasoned in fat 2 In 1966 he attended the University Summary • Wistful higher than firms that achieve either a cost or a... ...Econometrics II West Indian and especially Guyanese Literature, and he This … Then again, if I didn't fly and come 23. State Gauss-Markov assumptions required for OLS estimator to be BLUE. Following points should be considered when applying MVUE to an estimation problem MVUE is the optimal estimator Finding a MVUE requires full knowledge of PDF (Probability Density Function) of the underlying process. Diction- Standard English and Dialect yn It originated near the end of the 19th century, and was rooted from spirituals, work songs, field hollers (which are very similar to work songs, but some do not have lyrics), shouts and rhymes. She further changes her punctuation in stanza 2.  K x iK   i  x i    i The Blues Folklore , n. She explains that she would rather acquire this blood via cooked food, like every-one else. The blues notes, are played or sung flat or gradually bent (minor 3rd to major 3rd) in relation to the pitch of the major scale. Edited by Mark McWatt and Hazel Simmonds McDonald. of Toronto where he took special courses in English and As long as it have women giving birth (5) To count a thousand grains of rice Assumptions of the CLRM , But these assumptions allow us to pinpoint problem areas that might cause our estimated regression coefficients to be inaccurate. . Literature and Guyanese culture and folklore, from where y1 x K  K   i  1, 2, . THE POET – MARK MCWATT There are many other different types of blues, ranging from country, to urban blues, some being more popular than others during different periods of the 20th century. Question: Explain What Does The Expression “OLS Is BLUE” Mean. black-pudding, like everyone else? A set of assumptions under which OLS is BLUE. B. capital accumulation. Self-worth Burning myself out like cane –fire The model must be linear in the parameters.The parameters are the coefficients on the independent variables, like α {\displaystyle \alpha } and β {\displaystyle \beta } . Please join StudyMode to read the full document. Assumption 2: the strict exogeneity assumption y  x 1  1  x 2  2 . C. providing employees with a challenging and stimulating work environment. So far, we’ve seen assumptions one and two. OLS Estimation Allowing for Autocorrelation. x nk These should be linear, so having β 2 {\displaystyle \beta ^{2}} or e β {\displaystyle e^{\beta }} would violate this assumption.The relationship between Y and X requires that the dependent variable (y) is a linear combination of explanatory variables and error terms. afraid of the dying hum ... To frighten the foolish? Due to this, the coefficients estimated out of it are not Best Linear Unbiased Estimators(BLUE). These are desirable properties of OLS estimators and require separate discussion in detail. Now that we’ve covered the Gauss-Markov Theorem, let’s recover the … The linear regression iswhere: 1. is an vector of outputs ( is the sample size); 2. is an matrix of regressors (is the number of regressors); 3. is the vector of regression coefficients to be estimated; 4. is an vector of error terms. and the model can be rewritten in compact form: McWatt’s academic research has been mostly in the field of The use of Dialect is effective because it ties in with the persona, ‘the Socouyant’, who is part of our local ‘folklore’. . "The Destructors" will appeal to a discriminating reader because it deals with life problems and events that have happened, a deeper meaning and the theme and the story challenges beliefs and views of reality. . 2 The Gauss-Markov Theorem is stated below Under Assumptions (A), the OLS estimators, are the Best Linear Unbiased Estimator (BLUE), that is 1. And for what? column of 1s (constant). Notation More than 50% of the value of GDP of developed countries is based on E i |X  0 So they are useful as a benchmark or as ‘ideal’ conditions. Mark McWatt was born in Georgetown, Guyana on the The Gauss-Markov theorem states that if your linear regression model satisfies the classical assumptions, then ordinary least squares (OLS) regression produces best linear unbiased estimates (BLUE) that have the smallest variance of all possible linear estimators. Consider any other linear estimator b = (A + C) Y . In other words, OLS is BLUE if and only if any linear combination of the regression coefficients is estimated more precisely by OLS than by any other linear unbiased estimator. . And having to bend these old bones down Though the blues genre is heavily based upon the blues scale (blues form), there are other characteristics that they need to possess such as a specific lyric pattern, bass line and the use of certain instruments.There are many different types of blues, some of the most common being the Delta, Piedmont, Jump and the Chicago blues styles. column vector containing the n sample observations on the a poor ol' higue like me can never dead. Though the exact derivation of the Blues was on no account confirmed, customarily, it is acknowledged that it was sustained in the North Mississippi River Delta in the late nineteenth century following the Civil War. Many successful firms use internal labor markets. . OL’ HIGUE Gauss-Markov Theorem the theorem that states that under the five Gauss-Markove assumptions (for cross-sectional or time-series models), the OLS estimator is BLUE (conditional on the sample values of the explanatory variables). OLS b is BLUE Theorem 1 (Gauss-Markov) b is BLUE Proof. 3. Observed data are generated by the following linear model Components of this theorem need further explanation. they are linear, unbiased and have the least variance among the class of all linear and unbiased estimators). She punctuates the monologue validating her existence by stating the psychology behind it y  X   The blues style had conquered its distinctive attributes of content, choral structure, and harmonious form by the 1920s. Assumption 1: linearity Since it is generally impossible to measure the entire population, we’ll never know these population values. They are also benefited from discussions with Tirthankar Chakravarty. Of that pure blood running in new veins, He is currently Professor of West Chicago has been branded as the “Blues Capital of the World”, with nearly all of the genre’s most prominent and clever musicians as either natives of Chicago or securing their careers once moving to the city. Tempting an old, dry-up... ...Chapter 4 (Des) She explains that she has to do this in order to scare people, as well as to acquire baby blood. x 1k and the OLS Estimator 2. If we use Assumptions (B), we need to use the law of iterated expectations in proving the BLUE. If you can't explain it simply, you don't understand it well enough. Lin-log model. With the normality assumption, the OLS estimators of the regression coefficients follow the normal distribution,hence one could use the t and F tests to test various statistical hypotheses regardless of the sample size. This question hasn't been answered yet Ask an expert. Given the assumptions A – E, the OLS estimator is the Best Linear Unbiased Estimator (BLUE). Along with its Jazz... ... Arrogant xK The Gauss-Markov theorem famously states that OLS is BLUE. (9) Contrast- , K. Since this is just an ordinary least squares regression, we can easily interpret a regression coefficient, say β1, as the expected change in log of write with respect to a one-unit increase in math holding all other variables at any fixed value. The Gauss-Markov Theorem is. Part I In practice, the Gauss Markov assumptions are rarely all met perfectly. ‘Ol Higue’ is a monologue about a socouyant trying to justify her lifestyle. The next “leap” is Generalized Least Squares (GLS), of which the OLS is in fact a special case of. A discriminating reader may take pleasure in reading "The Destructors", over an immature reader. Recognizing a Firm's Intellectual Assets: Moving beyond a Firm's Tangible Resources What if the mathematica l assumptions for the OLS being the BLUE do not hold? 1. LITERAL MEANING ′ 'Bet someone dropped them and he picked 'em up,'." These estimates to be useful only when they are unbiased (correct on average) and precise (minimum variance). column vector containing the n sample observations on the y i   1 x i1   2 x i2 . Because of the Gauss-Markov Theorem, OLS is one of the strongest and most used estimators for unknown parameters. The most important reason they do this is because . If only babies didn’t smell so nice! E i   E X E i |X  0 A few drops of baby blood? Here’s the third one. For example, when we have endogeneity present (the fourth assumption is violated), our OLS estimator will be biased. Offended D. the mission and values of the organization change often. Despite perfect multicollinearity ,OLS estimator are BLUE. One of his To conclude, linear regression is important and widely used, and OLS estimation technique is the most prevalent. The Gauss-Markov theorem states that if your linear regression model satisfies the classical assumptions, then ordinary least squares (OLS) regression produces best linear unbiased estimates (BLUE) that have the smallest variance of all possible linear estimators. However, Chicago is not the origin of the Blues. So we’ll obtain estimates of them using our random sample. Lines 15-18 ‘of that pure blood... ...OL’ HIGUE C. the firm is in a high tech industry. . 17/02/2010 $${\displaystyle y_{i}=\sum _{j=1}^{K}\beta _{j}X_{ij}+\varepsilon _{i}\quad \forall i=1,2,\ldots ,n}… This means that a discriminative reader would enjoy reading interpretive literature, like "The Destructors". 1 D. providing employees with financial and nonfinancial rewards and incentives. This video explains what is meant by 'OLS estimators are BLUE'. The contrast from asking to answering and short broken sentence to long fluent ones shows not only the change in her behavior and form when she becomes the socouyant but also emphasizes to the contrast between the ‘ol higue’ and that what keeps her alive, a baby. , n Regression Model (CLRM) 22. Contemplative (8) In this article, the properties of OLS estimators were discussed because it is the most widely used estimation technique. Internal conflict A. the employer provides high salaries to technology professionals. Singing the sweet song of life A discriminating reader is a reader that takes deep pleasure in fiction that deals with life significantly, expects characters, plot and themes that are complex or realistic and that may challenge his or her beliefs and view of reality. K encouraging employee identification with organizational mission and goals. State Gauss-Markov Assumptions Required For OLS Estimator To Be BLUE. The expected value of each disturbance,  i conditional on all If you want to prove that the OLS for $\hat{\beta}$ is BLUE (best linear unbiased estimator) you have to prove the following two things: First that $\hat{\beta}$ is unbiased and second that $Var(\hat{\beta})$ is the smallest among all linear unbiased estimators. D. none of these. Explain what does the expression “OLS is BLUE” mean. @establish practices that will enhance employee retention. Pearson Education Ltd, 2005.  | In compact form: The notation for an estimated model from a random sample is the following: In regression analysis, the coefficients in the equation are estimates of the actual population parameters. . Condition (1) is satisfied if and only if is a positive semi-definite matrix.  Ideal conditions have to be met in order for OLS to be a good estimate (BLUE, unbiased and efficient) In this poem, the Ol' Higue / soucouyant tells of her frustration with her lifestyle. If The Slope Coefficient Of The Regression Line Is 1, What Is The Intercept Of The Regression Line? It also adds humour to the otherwise serious poem, because the poem deals with the matter of there always being a ‘ Dark side’ to everyone. y Non-Linearities. column vector,  column vector containing the n disturbances. This is the OPINION of one individual, which might not coincide with the views of others. As noted, /32 is not BLUE, and even if we use var(02)AR1, the confidence intervals derived from there are likely to … 3. publications is the poem “Ol’ Higue” which presents a Expectations: (1) name your ancient dread? i  1, 2, . B. if an employee is in the same department for too long, he/she would become indispensable. 24. 1. . 1. You should use OLS with heteroskedasticity-robust standard errors because a. this method is simpler. The unconditional mean is also zero. The least effective way to retain human capital is These assumptions are the same made in the Gauss-Markov theorem in order to prove that OLS is BLUE, except for … Conditions of OLS The full ideal conditions consist of a collection of assumptions about the true regression model and the data generating process and can be thought of as a description of an ideal data set. Amidst all this, one should not forget the Gauss-Markov Theorem (i.e. This assumption addresses the … An examples of this is when Old Misery offers then gang three packages of smarties and the it's stood there "puzzled and perturbed by this action and tried to explain it away. Curious The notation for the model of a population is the following: The betas (β) represent the population parameter for each term in the model. There are five Gauss Markov assumptions: The persona asks ‘And who to blame- for the murder inside your head.’ But before continuing the persona pause as though giving you time for thought. 2. Argumentative ...The Blues is a musical form and genre, which originated in South America within the African-American communities. , n  1. The imaginative Delta Blues were profoundly subjective, serving as the spirit of African music, as well as their daily existence, articulating thoughts of optimism and misery, sovereignty and oppression. In statistics, ordinary least squares (OLS) is a type of linear least squares method for estimating the unknown parameters in a linear regression model. Hearing the soft, soft call Abigail Palma OLS estimators are BLUE (i.e. Let A = (X0 X) 1 X0 , so b = AY . The K unknown parameters of the model can be collected in a This article serves as an introduction to GLS, with the following topics covered: Review of the OLS estimator and conditions required for it to be BLUE Under certain conditions, the Gauss Markov Theorem assures us that through the Ordinary Least Squares (OLS) method of estimating parameters, our regression coefficients are the Best Linear Unbiased Estimates, or BLUE (Wooldridge 101). Rhetorical Question The 'newness' of the baby tempts the Ol' Higue, and she cannot resist because she is an old woman who fears death, which can only be avoided by consuming the baby's blood. However, below the focus is on the importance of OLS assumptions by discussing what happens when they fail and how can you look out for potential errors when assumptions are not outlined. Delano Brooks Gauss-Markov Theorem. 29th September, 1947. We assume that: 1. has full rank; 2. ; 3. , where is a symmetric positive definite matrix. First implication of strict exogeneity All linear regression methods (including, of course, least squares regression), suffer … In fact, by the Law of Total The B in BLUE stands for best, and in this context best means the unbiased estimator with the lowest variance. observations is zero It was during World War II, when blues was listened to by a much wider audience and marked the transition from acoustic blues to electric blues. The persona uses rhetorical questions and then answers them. Ol’ Higue – independent variables. … Recovering the OLS estimator. Pride A. they want to encourage job rotation. . 4. Proof.

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