The McGraw-Hill Series Economics essentials of economics brue, McConnell, and Flynn Essentials of Economics

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910
Subject Index
B
Balanced panel, 25, 593
Ballentine view, 73, 74
Bank money creation, 619–620
Base category, 281
Bayesian approach, 10
BEA (Bureau of Economic Analysis), 900
Beer consumption, 612
Behavioral equations, 690
Benchmark category, 281
Berenblutt–Webb test, 445
Bernoulli binomial distribution, 822
Bernoulli probability distribution, 543
Best linear unbiased estimator (BLUE),
71–72, 422, 827, 875–876
Best unbiased estimators (BUE), 101,
233n, 827
Beta coefficient, 158, 514
BG test (
see
Breusch–Godfrey test)
Bias (
See also
Unbiasedness)
errors of measurement, 469
excluded variable specification, 
414–415
in indirect least squares estimators, 735
model specification, 467
pretest, 206n
self-selection, 499
simultaneous-equation, 679–683
specification (
see
Specification bias)
Bilateral causality, 653
Binary response variable, 542
Binary variable, 541
Binomial distribution, 543, 822–823
Bivariate normal probability density
function, 105–106
Bivariate regression (
see
Two-variable
regression analysis)
BJ methodology (
see
Box–Jenkins
methodology)
BLUE (
see
Best linear unbiased estimator)
Bond rating prediction, 551
Bootstrapping, 510
Bottom-up approach, 475
Box–Cox regression model, 187
Box–Cox transformation, 534
Box–Jenkins (BJ) methodology, 
773, 774
diagnostic checking, 782
estimation of ARIMA model, 782
forecasting, 782–784
identification, 778–782
seasonality, 784
steps of, 777–778
Box–Pierce 
Q
statistic, 753–754
Breusch–Godfrey (BG) test, 438–440
Breusch–Pagan (BP) test, 605
Breusch–Pagan–Godfrey (BPG) test,
385–386, 389
BUE (
see
Best unbiased estimators)
Bull’s eye, 19n, 740n
Bureau of Economic Analysis (BEA), 900
Bureau of Labor Statistics, 901
C
Capital asset pricing model (CAPM),
147–148, 514–515, 727–728
Cauchy–Schwarz inequality, 86
Causal models (
see
Recursive models)
Causality:
in economics, 652–658
and exogeneity, 657–658
and VAR model, 787–788
Causality tests, 737
Causation, regression vs., 19–20
C–D production function 
(
see
Cobb–Douglas production
function)
CDF (
see
Cumulative distribution function)
CEF (conditional expectation function), 37
Censored sample, 574
Central limit theorem (CLT), 99, 
509, 818
CES production (
see
Constant elasticity of
substitution production)
Characteristic line, 133–134, 148, 727
Chi-square distribution, 819–820, 
886–887
Chi-square statistic, 819
Chi-square test, 118–119
Chi-square test of significance, 119
Chow test, 256–259, 285–288, 299,
498–499
Churning, 510
CIA Publications, 901
Civilian labor force participation rate
(CLFPR), 894, 895, 897–899
Civilian unemployment rate (CUNR), 894
Classical approach, 10
Classical linear regression model (CLRM):
assumptions, 61–69, 85, 315–319
defined, 13
examples of, 78–83
Gauss–Markov theorem, 71–73
goodness of fit, 73–78
and Monte Carlo experiments, 83–84
precision/standard errors, 69–71
problems in applying, 319
Classical normal linear regression model
(CNLRM), 97–102
defined, 13
maximum likelihood method, 102
normality assumption, 98–101
probability distribution of disturbances,
97–98
Classical regression analysis, 20n
Classical theory of statistical inference, 97
CLFPR (
see
Civilian labor force