BOOK FIGURES
Most of these figures are produced by Stata programs given
at this website.
Page |
Figure |
Brief caption |
File |
50 |
3.1 |
Social experiment with random assignment |
ch3-fig1.wmf |
89 |
4.1 |
Quantile regression estimates of slope coefficient
|
ch4fig1qr.wmf |
90 |
4.2 |
Quantile regression estimated lines |
ch4fig2qr.wmf |
249 |
7.1 |
Power of Wald chi-square test |
ch7power.wmf |
253 |
7.2 |
Density of Wald test statistic of zero
slope coefficient |
ch7montecarlo.wmf |
296 |
9.1 |
Histogram for log wage |
ch9hist.wmf |
296 |
9.2 |
Kernel density estimates for log wage |
ch9kd1.wmf |
297 |
9.3 |
Nonparametric regression of log wage on education |
ch9ksm1.wmf |
300 |
9.4 |
Kernel density estimates using differnet kernels |
ch9kdensu1.wmf |
309 |
9.5 |
k-NN regression |
ch9ksmma.wmf |
310 |
9.6 |
Nonparametric regression using Lowess |
ch9ksmlowess.wmf |
317 |
9.7 |
Nonparamertric estimate of derivative of y with
respect to x |
ch9kderiv.wmf |
368 |
11.1 |
Bootstrap estimate of the density of t-test statistic |
ch11boot.wmf |
411 |
12.1 |
Halton sequence draws comparedto pseudo-random
draws |
|
413 |
12.2 |
Inverse transformation method for unit exponential
draws |
ch12fig2invtransform.wmf |
414 |
12.3 |
Accept-reject method for random draws |
ch12fig3envelope.wmf |
424 |
13.1 |
Bayesian analysis for mean parameter of normal
density |
ch13_bayes1.wmf |
466 |
14.1 |
Charter boat fishing: probit and logit predictions |
ch14binary.wmf |
516 |
15.1 |
Generalized random utility model |
ch15-Gen-RUM2.wmf |
531 |
16.1 |
Tobit regression example |
ch16condmeans.wmf |
540 |
16.2 |
Inverse Mills ratio as censoring point c increases |
ch16millsratio.wmf |
575 |
17.1 |
Strike duration: Kaplan-Meier survival function |
kennanstrk.wmf |
585 |
17.2 |
Weibull distribution: density, survivor, hazard
and cumulative hazard functions |
ch17weibull.wmf |
604 |
17.3 |
Unemployment duration: Kaplan-Meier survival function |
km_pt1.wmf |
605 |
17.4 |
Unemployment duration: survival functions by unemployment
insurance |
km_pt2.wmf |
606 |
17.5 |
Unemployment duration: Nelson-Aalen cumulative
hazard function |
na_pt1.wmf |
606 |
17.6 |
Unemployment duration: cumulative hazard functions
by unemployment insurance |
na_pt2.wmf |
627 |
18.1 |
Length-biased sampling under stock sampling |
ch18lbias.wmf |
633 |
18.2 |
Unemployment duration: exponential-gamma model
generalized residuals |
exp.wmf |
633 |
18.3 |
Unemployment duration: Weibull model generalized
residuals |
exp_gamma.wmf |
635 |
18.4 |
Unemployment duration: Weibull model generalized
residuals |
weibul16.wmf |
636 |
18.5 |
Unemployment duration: Weibull-Inverse Gaussian
model generalized residuals |
weibul16_ig.wmf |
661 |
19.1 |
Unemployment duration: Cox Competing Risks baseline
survival functions |
combined_bsf.wmf |
662 |
19.2 |
Unemployment duration: Cox Competing Risks baseline
cumulative hazards |
combined_cbh.wmf |
712 |
21.1 |
Hours and wages: pooled (overall) regression |
ch21pantot.wmf |
713 |
21.2 |
Hours and wages: between regression |
ch21panbe.wmf |
713 |
21.3 |
Hours and wages: within (fixed effects) regression |
ch21panfe.wmf |
714 |
21.4 |
Hours and wages: first differences regression |
ch21panfd.wmf |
793 |
23.1 |
Patents and R&D spending: pooled (overall)
regression [with corrected labelling of axes] |
ch23fig1.wmf |
880 |
25.1 |
Regression-discontinuity design: example |
ch25-fig1-rd.wmf |
883 |
25.2 |
Treatment assignment in sharp and fuzzy RD designs. |
ch25-fig2-rd.wmf |
892 |
25.3 |
Training impact: earnings against propensity score
by treatment status |
ch25treatment.wmf |
924 |
27.1 |
Missing data: examples of missing regressors |
ch27fig1.wmf |