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### day4prlm

School: LSU
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PADP 1/30/12 8130: Linear Models Mul\$variate OLS PRACTICE Angela Fer9g, Ph.D. Bivariate OLS use day2.dta! drop if faminc==0 | faminc&gt;200000! recode educhd (0/10=11)! reg faminc educhd! ! Source | SS df MS Number of obs = 7913! -------------+-----------------------------F( 1, 7911) = 1337.84! Model | 2.0229e+12 1 2.0229e+12 Prob &gt; F = 0.0000! Residual | 1.1962e+13 7911 1.5121e+09 R-squared =...

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PADP 1/30/12 8130: Linear Models Mul\$variate OLS PRACTICE Angela Fer9g, Ph.D. Bivariate OLS use day2.dta! drop if faminc==0 | faminc>200000! recode educhd (0/10=11)! reg faminc educhd! ! Source | SS df MS Number of obs = 7913! -------------+-----------------------------F( 1, 7911) = 1337.84! Model | 2.0229e+12 1 2.0229e+12 Prob > F = 0.0000! Residual | 1.1962e+13 7911 1.5121e+09 R-squared = 0.1446! -------------+-----------------------------Adj R-squared = 0.1445! Total | 1.3985e+13 7912 1.7676e+09 Root MSE = 38886! ! ------------------------------------------------------------------------------! faminc | Coef. Std. Err. t P>|t| [95% Conf. Interval]! -------------+----------------------------------------------------------------! educhd | 8175.432 223.5163 36.58 0.000 7737.281 8613.583! _cons | -50710.55 2986.183 -16.98 0.000 -56564.26 -44856.84! ------------------------------------------------------------------------------! 1 1/30/12 Graphically 0 25000 Fitted values 50000 75000 100000 twoway lfit faminc educhd, ysc(r(0 100000)) ylabel(0 25000 50000 75000 100000)! 10 12 14 COMPLETED ED-HD 16 18 Mul9variate OLS . reg faminc educhd femalehd! ! Source | SS df MS Number of obs = 7913! -------------+-----------------------------F( 2, 7910) = 1449.03! Model | 3.7500e+12 2 1.8750e+12 Prob > F = 0.0000! Residual | 1.0235e+13 1.2940e+09 R-squared = 7910 0.2681! -------------+-----------------------------Adj R-squared = 0.2680! Total | 1.3985e+13 7912 1.7676e+09 Root MSE = 35972! ! ------------------------------------------------------------------------------! faminc | Coef. Std. Err. t P>|t| [95% Conf. Interval]! -------------+----------------------------------------------------------------! educhd | 7668.903 207.2302 37.01 0.000 7262.677 8075.129! femalehd | -31685.82 867.3116 -36.53 0.000 -33385.98 -29985.66! _cons | -33809.32 2800.867 -12.07 0.000 -39299.76 -28318.88! ------------------------------------------------------------------------------! 2 1/30/12 Graphically 100000 predict famincm if femalehd==0 predict famincf if femalehd==1 twoway lfit famincm educhd || lfit famincf educhd, ysc(r(0 100000)) ylabel(0 25000 50000 75000 100000) legend(off)! Fitted values 50000 75000 Male head 0 25000 Female head 10 12 14 COMPLETED ED-HD 16 18 An alternate way to graph it 100000 twoway lfit faminc educhd if femalehd==0 || lfit faminc educhd if femalehd==1, ysc(r(0 100000)) ylabel(0 25000 50000 75000 100000) legend(off)! No9ce that the slopes are also slightly dierent this means we need an interac9on term also. We will discuss this in 2- 3 wks. Fitted values 50000 75000 Male head 0 25000 Female head 10 12 14 COMPLETED ED-HD 16 18 3
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2/11/12 PADP 8130: Linear Models Hypothesis Tes,ng Angela Fer9g, Ph.D. Up un9l now, weve been geDng es9mates for parameters. Were convinced that OLS is a good way of geDng an es9mate. We think mul9ple
2/11/12 PADP 8130: Linear Models Hypothesis Tes,ng PRACTICE Angela Fer9g, Ph.D. Standard error . sum agehd!!Variable |ObsMeanStd. Dev.MinMax!-+-!agehd |868945.2039416.4897917104!!. reg agehd!What is the dierence co
2/17/12 PADP 8130: Linear Models Func%onal Form Angela Fer:g, Ph.D. We know how to get es:mates for parameters. We know how to test hypotheses. Now, we will talk about how we put in regressors (func%onal
2/17/12 PADP 8130: Linear Models Func%onal Form PRACTICE Angela Fer:g, Ph.D. Graphing Residuals . drop if faminc=0 | faminc&gt;200000!. global controls &quot;black hisp femalehd marriedhd hsdropout somecoll collgrad!. reg faminc agehd \$contr
2/24/12 PADP 8130: Linear Models Specica(on Angela Fer:g, Ph.D. Specica:on is about deciding which regressors to put in the regression. OmiHed variable bias Including irrelevant variables Specica:on tests OmiHed
2/24/12 PADP 8130: Linear Models Specica(on PRACTICE Angela Fer:g, Ph.D. Omi@ed Variable Tests . gen lnfaminc=log(faminc)!(53 missing values generated)!!. replace lnfaminc=0 if faminc&lt;1!(52 real changes made)!!. gen femage=female
3/16/12 PADP 8130: Linear Models Data Problems Angela Fer:g, Ph.D. Data problems we will discuss today Mul:collinearity Measurement error Outliers Missing observa:ons 1 3/16/12 Mul:collinearity Deni:on: Independen
3/16/12 PADP 8130: Linear Models Data Problems PRACTICE Angela Fer:g, Ph.D. Detec:ng mul:collinearity: VIF . collin educhd hsdropout collgrad somecoll!!Collinearity Diagnostics!SQRTR-!VariableVIFVIFToleranceSquared!-!educ
3/26/12 PADP 8130: Linear Models Nonspherical Disturbances PRACTICE Angela Fer:g, Ph.D. Lets start with heteroskedas:city 1 3/26/12 Lets examine the eect of family income on home equity . reg lnhomequity agehd age2 hs
PADP 8130FertigSpring 2012UGAHomework 1Due January 23, 20121. Go to UCLA Stata Starter Kit webpage:http:/www.ats.ucla.edu/stat/stata/sk/modules_sk.htmRead through the following modules: Descriptive information and statistics Getting help Using
PADP 8130FertigSpring 2012UGAHomework 2Due January 30, 20121. Go to UCLA Stata Starter Kit webpage:http:/www.ats.ucla.edu/stat/stata/sk/modules_sk.htmRead through the following modules: Overview of Stata syntax Working across variables using for
PADP 8130FertigSpring 2012UGAHomework 3Due February 6, 20121. Go to UCLA Stata Topic webpage:http:/www.ats.ucla.edu/stat/stata/topics/data_management.htmRead through the following modules: Combining Stata data files Reshaping data from wide to l
PADP 8130FertigSpring 2012UGAHomework 3 Solutions1. Re-write the following equation using matrix notation. Also write the equation with eachcell of the matrix shown (assume that there are only 3 observations, i=1,2,3).! = ! + ! ! + ! ! + ! = + !
PADP 8130FertigSpring 2012UGAHomework 4Due February 20, 201210 01. Write out the specific hypotheses in non-matrix form if H0: Rb=q where R= 0 1 1 ,00 0!0b= ! , and q= 0 . How many hypotheses are involved? Are the hypotheses all linear?!0Wha
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PADP 8130FertigSpring 2012UGAHomework 5Due March 26, 2012Use day2.dta for this assignment. Show all of your work. Hand in a printout of yourStata do file with your answers.1. Estimate a linear probability model with fstamps as the dependent variab
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PADP 8130Evaluation of Work within the GroupSpring 2012Within Group AssessmentsWrite down the names of the 2-3 members of your group, excluding your own name. Assign ascore to every other member of your group based on their effort and contribution to
PADP 8130Fertig Spring 2012UGADownloading PSID Data without using the Data Center 1. Go to PSID website: http:/psidonline.isr.umich.edu/. Click on the Data tab. Under public use, choose Main Interview. Click on
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Excerpts from Robert Nozick, Anarchy, State, and Utopia[W]hy may not one violate persons for the greater social good? Individually, we eachsometimes choose to undergo some pain or sacrifice for a greater benefit or to avoid a greaterharm: we go to the
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Aristotle, Nicomachean Ethics and PoliticsAristotle on the aim of ethical inquiry: it is practice, which Aristotle distinguishes from either having goodintentions, or merely good results. Since, then, the present inquiry does not aim at theoretical kno
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Aristotle:Happiness,Justice,Morality,Virtue,andPoliticsAristotleonEudaimoniaPresumably,however,tosaythathappiness[eudaimonia]isthechiefgoodseemsaplatitude,andacleareraccountofwhatitisstilldesired.Thismightperhapsbegiven,ifwecouldfirstascertainthefunc
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Response Paper Topics: AristotlePlease choose ONE of the following topics and write a response paper of approximately 2double-spaced pages in length. The paper will be graded on a +, , basis. The gradeyou receive will be factored into your class partic
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Communitariansencumberedselves(dutytocountryhome/hearthorsentiment)Equal right-istsunencumberedselvesproceduralrepublicPolitical liberalismoverlappingconsensus(3536)criticismsmorecriticisms(366)In the case of bombing ones own town Thereistheargum
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Harvard University, Fall 2010Prof. Michael SandelEthical Reasoning 22: JusticeTF: Jonathan Bruno (jbruno@fas)Handout Response Paper Topics: KANTInstructionso Please choose ONE of the following topics and write a response of 1-2 double-spaced pagesw
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Harvard University, Fall 2010Prof. Michael SandelEthical Reasoning 22: JusticeTF: Jonathan Bruno (jbruno@fas)H a n d o u t U ti l i ta r i a n i s m (W e e k 1 ) 1o By the principle of utility is meant that principle which approves or disapproves of
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Harvard University, Fall 2010Prof. Michael SandelEthical Reasoning 22: JusticeTF: Jonathan Bruno (jbruno@fas)H a n d o u t L i b e r ta r i a n i s m (W e e k 2 ) 1W h a t L ib er ta r ia n ism I sn to Notice that, unlike utilitarianism, libertarian
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Harvard University, Fall 2010Prof. Michael SandelEthical Reasoning 22: JusticeTF: Jonathan Bruno (jbruno@fas)Handout Unlocking Locke (Week 3)1N a tu r e a n d G o v er n m en to What are the characteristic attributes of the state of nature?In 4, Lo
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Harvard University, Fall 2010Prof. Michael SandelEthical Reasoning 22: JusticeTF: Jonathan Bruno (jbruno@fas)H a n d o u t M a r k e ts &amp; M o r a l s (W e e k 4 ) 1T h e Q u estio nAre there sound moral arguments against unconstrained markets? In ot
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Harvard University, Fall 2010Prof. Michael SandelEthical Reasoning 22: JusticeTF: Jonathan Bruno (jbruno@fas)Handout Rawls on Justice as Fairness (Week 7) 1What is the original position ?o The original position (OP) describes a hypothetical initial
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Harvard University, Fall 2010Prof. Michael SandelEthical Reasoning 22: JusticeTF: Jonathan Bruno (jbruno@fas)Handout Distributive Justice &amp; Affirmative Action (Week 8)1A few clarifications about R awlso Pure procedural justiceRawls wants to design a
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Harvard University, Fall 2010Prof. Michael SandelEthical Reasoning 22: JusticeTF: Jonathan Bruno (jbruno@fas)Handout ARISTOTLE (Week 9)1A general word about reading ancient workso As youve probably detected by now, the ancient world was very differe
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Harvard University, Fall 2010Prof. Michael SandelEthical Reasoning 22: JusticeTF: Jonathan Bruno (jbruno@fas)Handout Justice, Community, and Membership (Weeks 1011)1MacIntyre, Sandel, Walzer: Communitarianso Communitarian is the loose name for a var
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Response Paper Topics: KantPlease choose ONE of the following topics and write a response paper of 12 double-spacedpages in length. The paper will be graded on a +, , basis. The grade you receive willbe factored into your class participation grade for
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Ethical Reasoning 22: JusticeWeek 4 Summary -Locke: Property RightsLibertarians do not fully address the following questions: how do property rights arise,what about democratic consent, and do we own ourselves? Locke has answers to all thosequestions.
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Section11/30/1006/12/201016:54:00Seehandoutfor11/29/10UtilitarianandKantianaremutuallyexclusiveviewsTheapogeeofliberalismistheKantianviewofourconstitutionfoundinOConnors opinioninPlannedParenthoodv.CaseyReallyinterestingthatinBritaintheyseegaymarria
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Section:-Labor theory of value: its mine if I mix my labor with it; restrictions are well enough, and as good.-All of this relies on a sort of self-ownership + God has property in me = using myself reasonably-This doesnt disagree with Locke.-Each one
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Harvard - KOR - BA
KBa_Introduction_PPT_Presentation2011-09-011Listen and Speak ![juhnun (Michael) i-eh-yo] I am Michael.(Your year).[(junior) i-yeyo] [I am] a junior.s.[bang-gap-sum-ni-da] Glad [to see you]. .[annyonghee ka-se-yo] Good-bye!2Eight Basic Vowelsa
Harvard - KOR - BA
Harvard - KOR - BA
Harvard - KOR - BA