Applied statistics for economists:
Gespeichert in:
1. Verfasser: | |
---|---|
Format: | Buch |
Sprache: | English |
Veröffentlicht: |
London [u.a.]
Routledge
c2012
|
Schlagworte: | |
Online-Zugang: | Inhaltsverzeichnis |
Beschreibung: | XXIV, 446 S. graph. Darst. 25 cm |
ISBN: | 9780415554688 9780415777988 |
Internformat
MARC
LEADER | 00000nam a2200000 c 4500 | ||
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020 | |a 9780415554688 |c (hbk.) |9 978-0-415-55468-8 | ||
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245 | 1 | 0 | |a Applied statistics for economists |c Margaret Lewis |
264 | 1 | |a London [u.a.] |b Routledge |c c2012 | |
300 | |a XXIV, 446 S. |b graph. Darst. |c 25 cm | ||
336 | |b txt |2 rdacontent | ||
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999 | |a oai:aleph.bib-bvb.de:BVB01-020875112 |
Datensatz im Suchindex
_version_ | 1804143685115314176 |
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adam_text | Contents
List of figures
xii
List of tables
xiv
List of charts
xviii
List of boxes
xxi
Preface
xxiii
A note on the textbook
s
focus and scope
xxv
A note on the Where can I find.
..?
boxes
xxvi
1
The role of statistics in economics
1
1.1
Understanding the economy using empirical evidence
1
1.2
Measuring economic welfare
2
1.3
Distribution of household income
2
1.4
Assessing full employment
4
1.5
Calculating economic growth
6
1.6
Measuring inflation
6
1.7
Theoretical relationships between unemployment and
economic growth
9
1.8
The connection between economic theory and
statistical evidence
11
Summary
11
Concepts introduced
11
Exercises
20
2
Visual présentations
оГ
economic daU
22
2.1
Economic graphs and charts
22
2.2
Tune-series data and charts
23
2.3
Cross-section data and charts
27
2.4
Panel data and charts
38
2.5
Creating
effective
charts
38
2.6
Constructing charts using Excel
40
Summary
41
vi
Contents
Concepts intmduced
42
Exercises
55
PART
I
Descriptive statistics of an economic
variable
57
3
Observations
and frequency distributions
59
3.1
The design
of observations:
an introduction
59
3.2
Attributes and measured
variables
60
3.3
Organizing data: absolute frequency
distributions
63
3.4
Organizing data:
relative
frequency distributions
64
3.5
Visual
presentations of frequency
distribution:
histograms
65
3.6
Classes
in a frequency
distribution
65
3.7
Constructing a frequency
distribution
68
3.8
Frequency polygons
72
3.9
Cumulative frequency distributions and ogives
75
Summary
80
Concepts introduced
80
Exercises
85
4
Measures of central tendency
89
4.1
Desirable properties for descriptive statistics
89
4.2
Three measures of central tendency: mean, median, and mode
90
4.3
Measures of central tendency for frequency distributions
94
4.4
Weighted arithmetic means
97
4.5
Geometric means
100
4.6
Positional measures for ungrouped data
104
4.7
Positional measures for a frequency distribution
106
Summary
108
Concepts introduced
109
Exercises 111
5
Measures of dispersion
115
5.1
The concept of dispersion
115
5.2
Populations and samples
115
5.3
Range
117
5.4
Interquartile range
117
5.5
Average deviation
118
5.6
The concept of the standard deviation
119
5.7
Calculating the standard deviation for ungrouped data
121
5.8
Calculating measures of dispersion for frequency distributions
122
5.9
Locating extreme values
123
5.10
The shape of frequency distributions
125
5.11
Choosing the appropriate descriptive statistics
126
5.12
Assessing relative dispersion: coefficient of variation
128
Contents
vii
5.73
Assessing
relative
dispersion: index
of dispersion
132
5.14
Depicting relative dispersion: the
Lorenz
curve
133
5.15
Assessing relative dispersion:
Gini
coefficient of inequality
141
Summary
144
Concepts introduced
146
Exercises
152
PART
Π
Temporal descriptive statistics
155
6
Measuring changes in price and quantity
157
6.1
Important index numbers in empirical economics
157
6.2
Why economists use index numbers
157
6.3
Constructing a simple price index
159
6.4
Constructing a weighted price index
161
6.5
Selecting appropriate weights for an index number
163
6.6
Chained price indices
166
6.7
Price index applications
169
6.8
Shifting an index s reference period
172
6.9
Quantity indices
175
6.10
Composite indices
176
Summary
179
Concepts introduced
179
Exercises
189
7
Descriptions of stability: short-run changes
192
7.1
Measuring economic change over time
192
7.2
Calculating percentage growth
192
7.3
Compound growth
196
7.4
Annualized growth rates from sub-annual rates
198
7.5
Annualized growth rates from supra-annual rates
201
7.6
Continuous compound growth
202
7.7
Continuously compounded annual growth and bgarithms
205
Summary
208
Concepts introduced
208
Exercises
214
8
Patterns of long-term change
217
8.1
Economic growth over time
217
8.2
Constant long-run rates of growth
217
8.3
Growth by constant amounts
222
8.4
Change over time by constant rates or by constant amounts
? 223
8.5
A complete model for describing change
228
8.6
Seasonal effects
228
8.7
Cyclical effects
230
viii Contents
8.8
Irregular
effects
235
Summary
235
Concepts introduced
237
Exercises
240
PART III
Statistical inferences about a single variable
243
9
Basic concepts in statistical inference
245
9.1
Populations and samples revisited
245
9.2
Sampling procedures
246
9.3
Concepts of probability
247
9.4
Probability distributions
248
9.5
Continuous probability distributions: the normal distribution
249
9.6
Continuous probability distributions: standard normal distribution
251
9.7
Identifying a normal distribution
255
9.8
The concept of the sampling distribution of means
256
9.9
Sampling distribution of means and the Central Limit Theorem
261
9.10
Sampling distribution of the Z-statistic
261
Summary
262
Concepts introduced
262
Exercises
264
10
Statistical estimation
266
10.1
Sample surveys as a source of data
266
10.2
Interval estimates of the population mean when the variance
of the population is known
267
10.3
Confidence levels and the precision of an interval estimate
270
10.4
The
t
-distribution
272
10.5
Confidence
intervins
for the population mean when the variance
of the population is not known
274
10.6
Confidence intervals for proportions, percentages, and rates
276
10.7
Confidence intervals for differences between
means and proportions
277
Summary
279
Concepts introduced
280
Exercises
285
11
Statistical hypothesis testing of a mean
287
11.1
Testing hypotheses in economics: an analogy to criminal trials
287
11.2
An overview of hypothesis testing in economics:
evaluating truth in advertising
288
11.3
Economic hypothesis testing: stating the hypotheses
291
11.4
Economic hypothesis testing: selecting the level of significance
293
11.5
Economic hypothesis testing: establishing the decision rule
294
Contents ix
11.6
Economie hypothesis testing: constructing
the test statistic
and making a decision about the null hypothesis
294
11.7
Testing hypotheses versus estimating confidence intervals
295
11.8
Evaluating a statistical rule in terms of a Type I error
296
11.9
Evaluating a statistical rule in terms of a Type
Π
error
297
11.10
The p-value and hypothesis testing
298
Summary
301
Concepts introduced
301
Exercises
302
PART IV
Relationships between two variables
305
12
Correlation analysis
307
12.1
Statistical relationships between two variables
307
12.2
Correlation analysis: descriptive statistics
308
12.3
Testing the significance of the correlation coefficient
310
12.4
Testing the sign on the correlation coefficient
314
Summary
315
Concepts introduced
315
Exercises
320
13
Simple linear regression analysis: descriptive measures
326
13.1
Introduction to simple linear regression analysis
326
13.2
The algebra of linear relationships for regression analysis
327
13.3
Simple linear regression analysis: education and GDP
328
13.4
The algebra of variations in linear regression relationships
330
13.5
The coefficient of determination in regression analysis
333
13.6
Simple linear regression analysis: infant mortality rates and
skilled health personnel at birth
334
Summary
337
Concepts introduced
337
Exercises
338
14
Simple regression analysis: statistical inference
339
14.1
The need for statistical inference in regression analysis
339
14.2
Testing hypotheses about the GDP-education regression
model s slope coefficient
339
14.3
Sampling distributions of the linear regression s slope and
intercept coefficients
342
14.4
Establishing the null and alternative hypotheses for
the slope coefficient
344
14.5
Levels of significance and decision rules
347
14.6
The test statistic and p-value for
Ute
slope coefficient
348
χ
Contents
14.7
An example of a hypothesis about the slope coefficient:
infant mortality rates
348
14.8
What hypothesis testing does and does not prove
350
Summary
350
Concepts introduced
350
Exercises
354
15
Simple regression analysis: variable scales and functional forms
355
75. /
Rescaling variables and interpreting the regression
coefficients
355
15.2
Specifying the regression equation: functional forms
358
15.3
Semi-log functional forms: the log—
lin
model
359
15.4
Semi-log functional forms: the
lin—
log model
361
15.5
Double-log functional form
362
15.6
Other functional forms
363
15.7
Selecting the appropriate functional form
364
Summary
365
Concepts introduced
366
Exercises
366
PART V
Relationships between multiple variables
369
16
Multiple regression analysis: estimation and interpretation
371
16.1
Simple to multiple regression analysis: an introduction
371
16.2
The multiple-variable linear regression model
371
16.3
Specifying the independent variables and functional form
for the multiple regression model
372
16.4
Specifying a multiple regression model for infant
mortality rates
373
16.5
Estimating a multiple regression model for infant
mortality rates
375
Summary
377
Concepts introduced
377
Exercises
380
17
Multiple regression analysis: hypothesis tests for partial regression
coefficients and overall goodness of fit
382
17.1
General procedures for testing the significance of the partial
regression coefficients
(b¡)
382
17.2
Testing the significance of partial regression coefficients
(b¡):
MR model
384
17.3
Evaluating the overall goodness of
β
387
17.4
Interpreting
Ле
іфпГ
mortality model s overall goodness of
β
388
Contents xi
17.5
Testing
joint hypotheses about the regression model s overall
significance: basic concepts and procedures
389
17.6
Testing joint hypothesis about the IMR multiple regression
model s overall significance
393
17.7
Is each independent variable statistically related to the
dependent variable
? 393
17.8
The best statistical multiple regression model
394
17.9
The better statistical infant mortality model?
396
17.10
Closing observations about the IMR multiple regression results
400
Summary
400
Concepts introduced
401
Exercises
401
18
Multiple regression analysis: dummy variables and statistical problems
404
18.1
Independent dummy variables: basic concepts and considerations
404
18.2
Independent dummy variables: infant mortality rates and
sub-Saharan Africa
408
18.3
Multicollinearity
410
18.4
Model misspecification and omitted variable bias
413
18.5
Misbehaved regression residuals: hetewskedasticity and
serial correlation
416
Summary
420
Concepts introduced
421
Exercises
421
Notes
425
Bibliography
433
Index
439
|
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genre | (DE-588)4123623-3 Lehrbuch gnd-content |
genre_facet | Lehrbuch |
id | DE-604.BV036960215 |
illustrated | Illustrated |
indexdate | 2024-07-09T22:51:35Z |
institution | BVB |
isbn | 9780415554688 9780415777988 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-020875112 |
oclc_num | 700438917 |
open_access_boolean | |
owner | DE-355 DE-BY-UBR DE-634 DE-2070s DE-M382 |
owner_facet | DE-355 DE-BY-UBR DE-634 DE-2070s DE-M382 |
physical | XXIV, 446 S. graph. Darst. 25 cm |
publishDate | 2012 |
publishDateSearch | 2012 |
publishDateSort | 2012 |
publisher | Routledge |
record_format | marc |
spelling | Lewis, Margaret 1956- Verfasser (DE-588)133630625 aut Applied statistics for economists Margaret Lewis London [u.a.] Routledge c2012 XXIV, 446 S. graph. Darst. 25 cm txt rdacontent n rdamedia nc rdacarrier Wirtschaftswissenschaften (DE-588)4066528-8 gnd rswk-swf Statistik (DE-588)4056995-0 gnd rswk-swf (DE-588)4123623-3 Lehrbuch gnd-content Wirtschaftswissenschaften (DE-588)4066528-8 s Statistik (DE-588)4056995-0 s b DE-604 Erscheint auch als Online-Ausgabe 978-0-203-80845-0 Digitalisierung UB Regensburg application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=020875112&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
spellingShingle | Lewis, Margaret 1956- Applied statistics for economists Wirtschaftswissenschaften (DE-588)4066528-8 gnd Statistik (DE-588)4056995-0 gnd |
subject_GND | (DE-588)4066528-8 (DE-588)4056995-0 (DE-588)4123623-3 |
title | Applied statistics for economists |
title_auth | Applied statistics for economists |
title_exact_search | Applied statistics for economists |
title_full | Applied statistics for economists Margaret Lewis |
title_fullStr | Applied statistics for economists Margaret Lewis |
title_full_unstemmed | Applied statistics for economists Margaret Lewis |
title_short | Applied statistics for economists |
title_sort | applied statistics for economists |
topic | Wirtschaftswissenschaften (DE-588)4066528-8 gnd Statistik (DE-588)4056995-0 gnd |
topic_facet | Wirtschaftswissenschaften Statistik Lehrbuch |
url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=020875112&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
work_keys_str_mv | AT lewismargaret appliedstatisticsforeconomists |