search for: hisp

...Mexican 12-17 5.7926 0.64195 any Puerto Rican 12-17 5.1975 0.24929 any Cuban 12-17 3.7977 1.00487 any C-S American 12-17 4.3665 0.55329 any Dominican 12-17 1.8149 0.46677 any Spanish (Spain) 12-17 6.1971 0.98386 any Multi Hisp Eth 12-17 6.7006 1.12464 any NH White 12-17 4.8442 0.08660 any NH Black 12-17 3.6943 0.16045 any NH AM-AK 12-17 9.6325 1.06100 any NH HI-OPI 12-17 3.9189 1.08047 any NH Asian 12-17 1.9115 0.28432 any NH Multira...

..."Some college, no degree (includes some community college)", > + "Some postgraduate or professional schooling, no postgraduate > degree", > + "Two year associate degree from a college or university"), class = > + "factor"), > + hisp = structure(c(2L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, > + 2L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 2L, 2L, 2L, > + 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, > + 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L), .Label = c("(DO NOT READ) > + Don’t...

...MS, PhD, MD, JD)", + "Some college, no degree (includes some community college)", + "Some postgraduate or professional schooling, no postgraduate degree", + "Two year associate degree from a college or university"), class = + "factor"), + hisp = structure(c(2L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, + 2L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 2L, 2L, 2L, + 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, + 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L), .Label = c("(DO NOT READ) + Don’t know/Refused",...

...e.g., MA, MS, PhD, MD, JD)", "Some college, no degree (includes some community college)", "Some postgraduate or professional schooling, no postgraduate degree", "Two year associate degree from a college or university"), class = "factor"), hisp = structure(c(2L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L), .Label = c("(DO NOT READ) Don’t know/Refused", &quo...

...set has Race specified with 4 levels. I can manually specify 4 dummy variables for a no-intercept model with each variable rather than having a value of zero or one, has a centered value based on its frequency of occurrence in the data set. Thus if 30% of the records in the data set have Race of Hispanic, I can define a variable HISP that has a value of either -.3 or .7, resulting in my coefficient estimate for HISP representing the effect of an "average" person in the database (and a corresponding valid standard error). One way to create these "centered dummy variables"...

...lt; *1000 2 *if*1000 *· wrwage*1 *< *2000 3 *if*2000 *· wrwage*1 *< *3000 4 *if*3000 *· wrwage*1 *< *4000 5 *ifwrwage*1 *¸ *4000. Estimate an order logit model using the new created discrete variable as the dependent variable with the following control variables: black = 1 if black hispanic = 1 if hispanic otherrace = 1 if black = 0 and hispanic = 0 female = 1 if female wba = claimant's UI weekly bene¯t amount (*=week*) age = age of claimant when claim is ¯led (years) bp1000 = base period wages (thousand $) inuidur1 = duration of unemployment (weeks) I have written the...

Dear R-Users, I have a problem on extracting T-Stat and P-Value. I have written R-code below library("Matching") data("lalonde") attach(lalonde) names(lalonde) Y <- lalonde$re78 Tr <- lalonde$treat glm1 <- glm(Tr~age+educ+black+hisp+married+nodegr+re74+re75,family=binomial,data=lalonde) pscore.predicted <- predict(glm1) rr1 <- Match(Y=Y,Tr=Tr,X=glm1$fitted,estimand="ATT", M=1,ties=TRUE,replace=TRUE) summary(rr1) > summary(rr1) Estimate...  2624.3  AI SE......  802.19  T-stat.....  3.2714  p.val......  0...

Dear R Users, Here is another probelm/question. I would like to run some panel regressions with R. Therefore I have combined several time periods of data for different individuals in my database. I have already run pooled OLS but I would need to calculate a Fixed Effects Estimator (within estimator). Unfortunately I couldn't find anything like that in the RSearch and I suppose that lme

i want to ask 2 questions. 1) can R do Random-effects GLS regression which i can get from Stata? the following result is frome Stata.can I get the alike result from R? xtreg lwage educ black hisp exper expersq married union, re Random-effects GLS regression Number of obs = 4360 Group variable (i) : nr Number of groups = 545 R-sq: within = 0.1799 Obs per group: min = 8 between = 0.1860...

...0.3490 6 wh csam 18.7 7.93 1.363 1.27e-47 0.2793 7 wh cub 18.7 10.85 0.728 6.12e-08 0.2025 8 wh dmcn 18.7 7.13 1.629 1.59e-15 0.2981 9 wh hisp 18.7 9.72 0.928 3.27e-125 0.2420 10 wh mex 18.7 9.60 0.952 8.81e-103 0.2420 11 wh nhpi 18.7 16.14 0.162 1.74e-01 0.0669 12 wh othh 18.7 NA NA...

...ng the "Match" package to do propensity score matching. Here's some example code that shows the problem that I'm having (much of this code is taken from the Match package documentation): *data(lalonde) glm1 <- glm(treat~age + I(age^2) + educ + I(educ^2) + black + hisp + married + nodegr + re74 + I(re74^2) + re75 + I(re75^2) + u74 + u75, family=binomial, data=lalonde) X <- glm1$fitted Y <- lalonde$re78 Tr <- lalonde$treat # one-to-one matching with replacement (the "M=1" option). # Estimating the treatment effect on the treate...