Econometric analysis of count data: with 20 tables
Gespeichert in:
1. Verfasser: | |
---|---|
Format: | Buch |
Sprache: | German |
Veröffentlicht: |
Berlin [u.a.]
Springer
2003
|
Ausgabe: | 4. ed. |
Schlagworte: | |
Online-Zugang: | Inhaltsverzeichnis |
Beschreibung: | XIV, 304 S. graph. Darst. |
ISBN: | 354040404X |
Internformat
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100 | 1 | |a Winkelmann, Rainer |d 1963- |e Verfasser |0 (DE-588)131412434 |4 aut | |
245 | 1 | 0 | |a Econometric analysis of count data |b with 20 tables |c Rainer Winkelmann |
250 | |a 4. ed. | ||
264 | 1 | |a Berlin [u.a.] |b Springer |c 2003 | |
300 | |a XIV, 304 S. |b graph. Darst. | ||
336 | |b txt |2 rdacontent | ||
337 | |b n |2 rdamedia | ||
338 | |b nc |2 rdacarrier | ||
650 | 4 | |a Arbeitsmobilität - Ereignisdatenanalyse | |
650 | 4 | |a Ereignisdatenanalyse - Ökonometrisches Modell | |
650 | 4 | |a Regression / Schätztheorie / Ökonometrie / Zeitreihenanalyse / Theorie | |
650 | 4 | |a Schätzung / Arbeitsmobilität / Deutschland / Deutschland | |
650 | 4 | |a Ökonometrisches Modell | |
650 | 4 | |a Econometrics | |
650 | 4 | |a Labor mobility |x Econometric models | |
650 | 4 | |a Time-series analysis | |
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Datensatz im Suchindex
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adam_text |
CONTENTS
PREFACE
.
VII
1
INTRODUCTION
.
1
1.1
POISSON
REGRESSION
MODEL
.
2
1.2
SOME
THOUGHTS
ON
METHODOLOGY
.
3
1.3
EXAMPLES
.
4
1.4
ORGANIZATION
OF
THE
BOOK
.
6
2
PROBABILITY
MODELS
FOR
COUNT
DATA
.
7
2.1
INTRODUCTION
.
7
2.2
POISSON
DISTRIBUTION
.
8
2.2.1
DEFINITIONS
AND
PROPERTIES
.
8
2.2.2
GENESIS
OF
THE
POISSON
DISTRIBUTION
.
12
2.2.3
POISSON
PROCESS
.
12
2.2.4
GENERALIZATIONS
OF
THE
POISSON
PROCESS
.
15
2.2.5
POISSON
DISTRIBUTION
AS
A
BINOMIAL
LIMIT
.
16
2.2.6
EXPONENTIAL
INTERARRIVAL
TIMES
.
18
2.2.7
NON-POISSONNESS
.
19
2.3
FURTHER
DISTRIBUTIONS
FOR
COUNT
DATA
.
22
2.3.1
NEGATIVE
BINOMIAL
DISTRIBUTION
.
22
2.3.2
BINOMIAL
DISTRIBUTION
.
27
2.3.3
LOGARITHMIC
DISTRIBUTION
.
29
2.3.4
SUMMARY
.
30
2.4
MODIFIED
COUNT
DATA
DISTRIBUTIONS
.
33
2.4.1
TRUNCATION
.
33
2.4.2
CENSORING
AND
GROUPING
.
34
2.4.3
ALTERED
DISTRIBUTIONS
.
34
2.5
GENERALIZATIONS
.
35
2.5.1
MIXTURE
DISTRIBUTIONS
.
36
2.5.2
COMPOUND
DISTRIBUTIONS
.
39
2.5.3
BIRTH
PROCESS
GENERALIZATIONS
.
41
X
CONTENTS
2.5.4
KATZ
FAMILY
OF
DISTRIBUTIONS
.
42
2.5.5
LINEAR
EXPONENTIAL
FAMILIES
.
44
2.5.6
ADDITIVE
LOG-DIFFERENCED
PROBABILITY
MODELS
.
47
2.5.7
SUMMARY
.
48
2.6
DURATION
ANALYSIS
AND
COUNT
DATA
.
48
2.6.1
DISTRIBUTIONS
FOR
INTERARRIVAL
TIMES
.
49
2.6.2
RENEWAL
PROCESSES
.
52
2.6.3
DURATION
DEPENDENCE
AND
DISPERSION
.
52
2.6.4
GAMMA
COUNT
DISTRIBUTION
.
53
2.6.5
DURATION
MIXTURE
MODELS
.
56
3
ECONOMETRIC
MODELING
-
BASIC
ISSUES
.
61
3.1
POISSON
REGRESSION
MODEL
.
61
3.1.1
SPECIFICATION
OF
THE
POISSON
REGRESSION
MODEL
.
61
3.1.2
ORDINARY
LEAST
SQUARES
AND
OTHER
ALTERNATIVES
.
63
3.1.3
GENERALIZED
LINEAR
MODEL
.
67
3.1.4
INTERPRETATION
OF
THE
PARAMETERS
.
68
3.1.5
PERIOD
AT
RISK
.
71
3.2
ESTIMATION
.
74
3.2.1
MAXIMUM
LIKELIHOOD
ESTIMATION
.
74
3.2.2
PSEUDO-MAXIMUM
LIKELIHOOD
.
81
3.2.3
GENERALIZED
METHOD
OF
MOMENTS
.
83
3.2.4
BIAS
REDUCTION
TECHNIQUES
.
85
3.3
SOURCES
OF
MISSPECIFICATION
.
88
3.3.1
MEAN
FUNCTION
.
89
3.3.2
UNOBSERVED
HETEROGENEITY
.
89
3.3.3
MEASUREMENT
ERROR
.
92
3.3.4
DEPENDENT
PROCESS
.
94
3.3.5
SELECTIVITY
.
94
3.3.6
SIMULTANEITY
AND
ENDOGENEITY
.
95
3.3.7
UNDERREPORTING
.
96
3.3.8
EXCESS
ZEROS
.
96
3.3.9
VARIANCE
FUNCTION
.
97
3.4
TESTING
FOR
MISSPECIFICATION
.
99
3.4.1
CLASSICAL
SPECIFICATION
TESTS
.
100
3.4.2
REGRESSION
BASED
TESTS
.
105
3.4.3
GOODNESS-OF-FIT
TESTS
.
106
3.4.4
TESTS
FOR
NON-NESTED
MODELS
.
107
4
ECONOMETRIC
MODELING
-
EXTENSIONS
.
113
4.1
INTRODUCTION
.
113
4.2
UNOBSERVED
HETEROGENEITY
.
115
4.2.1
PARAMETRIC
MIXTURE
MODELS
.
116
4.2.2
NEGATIVE
BINOMIAL
MODELS
.
119
4.2.3
SEMIPARAMETRIC
MIXTURE
MODELS
.
124
CONTENTS
XI
4.2.4
FINITE
MIXTURE
MODELS
.
125
4.3
DEPENDENT
COUNT
PROCESS
.
127
4.4
CENSORING
AND
TRUNCATION
.
128
4.4.1
TRUNCATED
COUNT
DATA
MODELS
.
129
4.4.2
ENDOGENOUS
SAMPLING
.
129
4.4.3
CENSORED
COUNT
DATA
MODELS
.
131
4.4.4
GROUPED
POISSON
REGRESSION
MODEL
.
132
4.5
INCIDENTAL
CENSORING
AND
TRUNCATION
.
132
4.5.1
BIVARIATE
NORMAL
DISTRIBUTION
.
133
4.5.2
INCIDENTAL
CENSORING
.
136
4.5.3
INCIDENTAL
TRUNCATION
.
137
4.6
HURDLE
COUNT
DATA
MODELS
.
138
4.6.1
HURDLE
POISSON
MODEL
.
141
4.6.2
MARGINAL
EFFECTS
.
142
4.6.3
HURDLE
NEGATIVE
BINOMIAL
MODEL
.
143
4.6.4
NONNESTED
HURDLE
MODELS
.
144
4.6.5
UNOBSERVED
HETEROGENEITY
IN
HURDLE
MODELS
.
145
4.6.6
FINITE
MIXTURE
VERSUS
HURDLE
MODELS
.
146
4.6.7
CORRELATED
HURDLE
MODELS
.
147
4.7
ZERO-INFLATED
COUNT
DATA
MODELS
.
148
4.8
UNDERREPORTING
.
151
4.8.1
POISSON-LOGISTIC
REGRESSION
.
151
4.8.2
COUNT
AMOUNT
MODEL
.
153
4.8.3
ENDOGENOUS
UNDERREPORTING
.
154
4.9
ENDOGENOUS
REGRESSORS
.
156
4.9.1
INSTRUMENTAL
VARIABLE
ESTIMATION
.
157
4.9.2
SIMULTANEOUS
EQUATIONS
.
159
4.9.3
BINARY
ENDOGENOUS
VARIABLES
.
161
4.9.4
MIXED
DISCRETE-CONTINUOUS
MODELS
.
165
4.10
GENERALIZED
VARIANCE
MODELS
.
166
4.10.1
GENERALIZED
EVENT
COUNT
MODEL
.
166
4.10.2
GENERALIZED
POISSON
REGRESSION
.
168
4.10.3
ROBUST
POISSON
REGRESSION
.
170
4.10.4
NON-PARAMETRIC
VARIANCE
ESTIMATION
.
175
4.11
QUANTILE
REGRESSION
FOR
COUNT
DATA
.
177
5
CORRELATED
COUNT
DATA
.
181
5.1
MULTIVARIATE
COUNT
DATA
.
181
5.1.1
MULTIVARIATE
POISSON
DISTRIBUTION
.
183
5.1.2
MULTIVARIATE
NEGATIVE
BINOMIAL
MODEL
.
188
5.1.3
MULTIVARIATE
POISSON-GAMMA
MIXTURE
MODEL
.
190
5.1.4
MULTIVARIATE
POISSON-LOG-NORMAL
MODEL
.
191
5.1.5
LATENT
POISSON-NORMAL
MODEL
.
194
5.1.6
MOMENT-BASED
METHODS
.
195
5.2
PANEL
DATA
MODELS
.
197
XII
CONTENTS
5.2.1
FIXED
EFFECTS
POISSON
MODEL
.
198
5.2.2
FIXED
EFFECTS
NEGATIVE
BINOMIAL
MODEL
.
203
5.2.3
RANDOM
EFFECTS
COUNT
DATA
MODELS
.
204
5.2.4
MOMENT-BASED
METHODS
.
205
5.2.5
DYNAMIC
PANEL
COUNT
DATA
MODELS
.
205
5.3
TIME-SERIES
COUNT
DATA
MODELS
.
208
6
BAYESIAN
ANALYSIS
OF
COUNT
VARIABLES
.
217
6.1
BAYESIAN
ANALYSIS
OF
THE
POISSON
MODEL
.
218
6.2
A
POISSON
MODEL
WITH
UNDERREPORTING
.
221
6.3
ESTIMATION
OF
THE
MULTIVARIATE
POISSON-LOG-NORMAL
MODEL
BY
MCMC
.
223
6.4
ESTIMATION
OF
A
RANDOM
COEFFICIENTS
MODEL
BY
MCMC
.
224
7
APPLICATIONS
.
227
7.1
ACCIDENTS
.
227
7.2
CRIME
.
228
7.3
TRIP
FREQUENCY
.
228
7.4
HEALTH
ECONOMICS
.
230
7.5
DEMOGRAPHY
.
233
7.6
MARKETING
AND
MANAGEMENT
.
236
7.7
LABOR
MOBILITY
.
237
7.7.1
ECONOMICS
MODELS
OF
LABOR
MOBILITY
.
238
7.7.2
PREVIOUS
LITERATURE
.
239
7.7.3
DATA
AND
DESCRIPTIVE
STATISTICS
.
241
7.7.4
REGRESSION
RESULTS
.
245
7.7.5
MODEL
PERFORMANCE
.
248
7.7.6
MARGINAL
PROBABILITY
EFFECTS
.
250
7.7.7
STRUCTURAL
INFERENCES
.
254
A
PROBABILITY
GENERATING
FUNCTIONS
.
257
B
GAUSS-HERMITE
QUADRATURE
.
261
C
SOFTWARE
.
265
D
TABLES
.
267
REFERENCES
.
275
AUTHOR
'
S
INDEX
.
295
SUBJECT
INDEX
.
299 |
any_adam_object | 1 |
author | Winkelmann, Rainer 1963- |
author_GND | (DE-588)131412434 |
author_facet | Winkelmann, Rainer 1963- |
author_role | aut |
author_sort | Winkelmann, Rainer 1963- |
author_variant | r w rw |
building | Verbundindex |
bvnumber | BV017448339 |
callnumber-first | H - Social Science |
callnumber-label | HB139 |
callnumber-raw | HB139 |
callnumber-search | HB139 |
callnumber-sort | HB 3139 |
callnumber-subject | HB - Economic Theory and Demography |
classification_rvk | QH 237 QH 330 QV 230 |
classification_tum | WIR 361 WIR 017 |
ctrlnum | (OCoLC)249214289 (DE-599)BVBBV017448339 |
dewey-full | 330.015195 |
dewey-hundreds | 300 - Social sciences |
dewey-ones | 330 - Economics |
dewey-raw | 330.015195 |
dewey-search | 330.015195 |
dewey-sort | 3330.015195 |
dewey-tens | 330 - Economics |
discipline | Wirtschaftswissenschaften |
edition | 4. ed. |
format | Book |
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id | DE-604.BV017448339 |
illustrated | Illustrated |
indexdate | 2024-08-24T00:13:42Z |
institution | BVB |
isbn | 354040404X |
language | German |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-010510977 |
oclc_num | 249214289 |
open_access_boolean | |
owner | DE-355 DE-BY-UBR DE-20 DE-703 DE-91 DE-BY-TUM DE-91G DE-BY-TUM DE-19 DE-BY-UBM DE-188 |
owner_facet | DE-355 DE-BY-UBR DE-20 DE-703 DE-91 DE-BY-TUM DE-91G DE-BY-TUM DE-19 DE-BY-UBM DE-188 |
physical | XIV, 304 S. graph. Darst. |
publishDate | 2003 |
publishDateSearch | 2003 |
publishDateSort | 2003 |
publisher | Springer |
record_format | marc |
spelling | Winkelmann, Rainer 1963- Verfasser (DE-588)131412434 aut Econometric analysis of count data with 20 tables Rainer Winkelmann 4. ed. Berlin [u.a.] Springer 2003 XIV, 304 S. graph. Darst. txt rdacontent n rdamedia nc rdacarrier Arbeitsmobilität - Ereignisdatenanalyse Ereignisdatenanalyse - Ökonometrisches Modell Regression / Schätztheorie / Ökonometrie / Zeitreihenanalyse / Theorie Schätzung / Arbeitsmobilität / Deutschland / Deutschland Ökonometrisches Modell Econometrics Labor mobility Econometric models Time-series analysis Zeitreihenanalyse (DE-588)4067486-1 gnd rswk-swf Ökonometrie (DE-588)4132280-0 gnd rswk-swf Arbeitsmobilität (DE-588)4068809-4 gnd rswk-swf Ökonometrisches Modell (DE-588)4043212-9 gnd rswk-swf Ereignisdatenanalyse (DE-588)4132103-0 gnd rswk-swf Ereignisdatenanalyse (DE-588)4132103-0 s Ökonometrisches Modell (DE-588)4043212-9 s DE-604 Arbeitsmobilität (DE-588)4068809-4 s Ökonometrie (DE-588)4132280-0 s 1\p DE-604 Zeitreihenanalyse (DE-588)4067486-1 s 2\p DE-604 DNB Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=010510977&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
spellingShingle | Winkelmann, Rainer 1963- Econometric analysis of count data with 20 tables Arbeitsmobilität - Ereignisdatenanalyse Ereignisdatenanalyse - Ökonometrisches Modell Regression / Schätztheorie / Ökonometrie / Zeitreihenanalyse / Theorie Schätzung / Arbeitsmobilität / Deutschland / Deutschland Ökonometrisches Modell Econometrics Labor mobility Econometric models Time-series analysis Zeitreihenanalyse (DE-588)4067486-1 gnd Ökonometrie (DE-588)4132280-0 gnd Arbeitsmobilität (DE-588)4068809-4 gnd Ökonometrisches Modell (DE-588)4043212-9 gnd Ereignisdatenanalyse (DE-588)4132103-0 gnd |
subject_GND | (DE-588)4067486-1 (DE-588)4132280-0 (DE-588)4068809-4 (DE-588)4043212-9 (DE-588)4132103-0 |
title | Econometric analysis of count data with 20 tables |
title_auth | Econometric analysis of count data with 20 tables |
title_exact_search | Econometric analysis of count data with 20 tables |
title_full | Econometric analysis of count data with 20 tables Rainer Winkelmann |
title_fullStr | Econometric analysis of count data with 20 tables Rainer Winkelmann |
title_full_unstemmed | Econometric analysis of count data with 20 tables Rainer Winkelmann |
title_short | Econometric analysis of count data |
title_sort | econometric analysis of count data with 20 tables |
title_sub | with 20 tables |
topic | Arbeitsmobilität - Ereignisdatenanalyse Ereignisdatenanalyse - Ökonometrisches Modell Regression / Schätztheorie / Ökonometrie / Zeitreihenanalyse / Theorie Schätzung / Arbeitsmobilität / Deutschland / Deutschland Ökonometrisches Modell Econometrics Labor mobility Econometric models Time-series analysis Zeitreihenanalyse (DE-588)4067486-1 gnd Ökonometrie (DE-588)4132280-0 gnd Arbeitsmobilität (DE-588)4068809-4 gnd Ökonometrisches Modell (DE-588)4043212-9 gnd Ereignisdatenanalyse (DE-588)4132103-0 gnd |
topic_facet | Arbeitsmobilität - Ereignisdatenanalyse Ereignisdatenanalyse - Ökonometrisches Modell Regression / Schätztheorie / Ökonometrie / Zeitreihenanalyse / Theorie Schätzung / Arbeitsmobilität / Deutschland / Deutschland Ökonometrisches Modell Econometrics Labor mobility Econometric models Time-series analysis Zeitreihenanalyse Ökonometrie Arbeitsmobilität Ereignisdatenanalyse |
url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=010510977&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
work_keys_str_mv | AT winkelmannrainer econometricanalysisofcountdatawith20tables |