Semiparametric and nonparametric methods in econometrics:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
New York, NY [u.a.]
Springer
2009
|
| Schriftenreihe: | Springer series in statistics
|
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | Literaturverz. S. 257 - 266 |
| Beschreibung: | X, 271 S. graph. Darst. |
| ISBN: | 9780387928692 |
Internformat
MARC
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| 100 | 1 | |a Horowitz, Joel |e Verfasser |0 (DE-588)128779039 |4 aut | |
| 245 | 1 | 0 | |a Semiparametric and nonparametric methods in econometrics |c Joel L. Horowitz |
| 264 | 1 | |a New York, NY [u.a.] |b Springer |c 2009 | |
| 300 | |a X, 271 S. |b graph. Darst. | ||
| 336 | |b txt |2 rdacontent | ||
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| 500 | |a Literaturverz. S. 257 - 266 | ||
| 650 | 7 | |a Nichtparametrisches Verfahren |2 stw | |
| 650 | 7 | |a Theorie |2 stw | |
| 650 | 4 | |a Econometrics | |
| 650 | 4 | |a Estimation theory | |
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| 650 | 0 | 7 | |a Semiparametrische Schätzung |0 (DE-588)4232079-3 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Nichtparametrische Schätzung |0 (DE-588)4203980-0 |2 gnd |9 rswk-swf |
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Datensatz im Suchindex
| _version_ | 1804140017230020608 |
|---|---|
| adam_text | Contents
1
Introduction
............................... 1
1.1 The Goals
of This Book
..................... 1
1.2
Dimension Reduction
....................... 3
1.3
Are Semiparametric and Nonparametric Methods Really
Different from Parametric Ones?
................. 6
2
Single-Index Models
.......................... 7
2.1
Definition of a Single-Index Model of a Conditional
Mean Function
.......................... 7
2.2
Multiple-Index Models
...................... 10
2.3
Identification of Single-Index Models
.............. 12
2.3.1
Conditions for Identification of
β
and
G
........ 12
2.3.2
Identification Analysis When X Is Discrete
....... 15
2.4
Estimating
С
in a Single-Index Model
.............. 17
2.5
Optimization Estimators of
β
.................. 19
2.5.1
Nonlinear Least Squares
................ 20
2.5.2
Choosing the Weight Function
............. 25
2.5.3
Semiparametric Maximum-Likelihood
Estimation of Binary-Response Models
........ 27
2.5.4
Semiparametric Maximum-Likelihood
Estimation of Other Single-Index Models
....... 29
2.5.5
Semiparametric Rank Estimators
............ 29
2.6
Direct Semiparametric Estimators
................ 30
2.6.1
Average-Derivative Estimators
............. 31
2.6.2
An Improved Average-Derivative Estimator
...... 35
2.6.3
Direct Estimation with Discrete Covariates
....... 37
2.6.4
One-Step Asymptotically Efficient Estimators
..... 42
2.7
Bandwidth Selection
....................... 44
2.8
An Empirical Example
...................... 46
2.9
Single-Index Models of Conditional Quantile Functions
.... 48
vii¡
Contents
3
Nonparametric Additive Models and Semiparametric
Partially Linear Models
........................ 53
3.1
Nonparametric Additive Models with Identity Link
Functions
.............................
5^
3.1.1
Marginal Integration
.................. 55
3.1.2
Backfitting
........................ 63
3.1.3
Two-Step, Oracle-Efficient Estimation
......... 64
3.2
Estimation with a Nonidentity Link Function
.......... 70
3.2.1
Estimation
........................ 71
3.2.2
Bandwidth Selection
.................. 75
3.3
Estimation with an Unknown Link Function
........... 77
3.4
Estimation of a Conditional Quantile Function
......... 81
3.5
An Empirical Example
...................... 84
3.6
The Partially Linear Model
.................... 85
3.6.1
Identification
...................... 85
3.6.2
Estimation of
β
..................... 86
3.6.3
Partially Linear Models of Conditional Quantiles
... 90
3.6.4
Empirical Applications
................. 91
4
Binary-Response Models
........................ 95
4.1
Random-Coefficients Models
.................. 95
4.2
Identification
........................... 96
4.2.1
Identification Analysis When X Has Bounded
Support
......................... 100
4.2.2
Identification When X Is Discrete
............ 101
4.3
Estimation
............................ 104
4.3.1
Estimating P{Y
=
l X=x)
............... 104
4.3.2
Estimating
β:
The Maximum-Score Estimator
..... 105
4.3.3
Estimating
β:
The Smoothed Maximum-Score
Estimator
........................ 108
4.4
Extensions of the Maximum-Score and Smoothed
Maximum-Score Estimators
................... 119
4.4.1
Choice-Based Samples
................. 119
4.4.2
Panel Data
........................ 123
4.4.3
Ordered-Response Models
............... 128
4.5
Other Estimators for Heteroskedastic Binary-Response
Models
.............................. 131
4.6
An Empirical Example
...................... 132
5
Statistical Inverse Problems
...................... 135
5.1
Deconvolution in a Model of Measurement Error
........ 137
5.1.1
Rate of Convergence of the Density Estimator
..... 138
5.1.2
Why Deconvolution Estimators Converge Slowly
... 141
5.1.3
Asymptotic Normality of the Density Estimator
.... 143
5.1.4
A Monte Carlo Experiment
............... 144
5.2
Models for Panel Data
...................... 145
Contents
¡x
5.2.1
Estimating
fy
and fR
................... 146
5.2.2
Large Sample Properties
of/„K
and fnU
......... 148
5.2.3
Estimating First-Passage Times
............. 151
5.2.4
Bias Reduction
..................... 152
5.2.5
Monte Carlo Experiments
................ 154
5.3
Nonparametric Instrumental-Variables Estimation
........ 156
5.3.1
Regularization Methods
................. 164
5.4
Nonparametric Instrumental-Variables Estimation
When TIs Unknown
....................... 171
5.4.1
Estimation by Tikhonov Regularization When
Пѕ
Unknown
...................... 171
5.4.2
Estimation by Series Truncation When
Τ
Is
Unknown
........................ 178
5.5
Other Approaches to Nonparametric
Instrumental-Variables Estimation
................ 185
5.5.1
Nonparametric Quantile IV
............... 185
5.5.2
Control Functions
.................... 186
5.6
An Empirical Example
...................... 187
6
Transformation Models
........................ 189
6.1
Estimation with Parametric
Τ
and Nonparametric
F
....... 190
6.1.1
Choosing the Instruments
................ 193
6.1.2
The
Box
-Сох
Regression Model
............ 194
6.1.3
The Weibull Hazard Model with Unobserved
Heterogeneity
...................... 196
6.2
Estimation with Nonparametric
Τ
and Parametric
F
....... 201
6.2.1
The Proportional Hazards Model
............ 201
6.2.2
The Proportional Hazards Model with
Unobserved Heterogeneity
............... 204
6.2.3
The Case of Discrete Observations of
Y
........ 208
6.2.4
Estimating
λο
...................... 209
6.2.5
Other Models in Which
F
Is Known
.......... 213
6.3
Estimation When Both
Γ
and
F
Are Nonparametric
....... 215
6.3.1
Derivation of Horowitz s Estimators of
Γ
and
F
.... 216
6.3.2
Asymptotic Properties of Tn and Fn
.......... 219
6.3.3
Chen s Estimator of
Γ
.................. 221
6.3.4
The Proportional Hazards Model with
Unobserved Heterogeneity
............... 223
6.4
Predicting /Conditional on X
.................. 230
6.5
An Empirical Example
...................... 230
Appendix: Nonparametric Density Estimation
and Nonparametric Regression
.................... 233
A.I Nonparametric Density Estimation
................ 233
A.
1.1
Density Estimation When X Is Multidimensional
. . . 237
A.
1.2
Estimating Derivatives of a Density
........... 239
x
Contents
Α.2
Nonparametric
Mean
Regression................. 240
A.2.1 The Nadaraya-Watson Kernel
Estimator
........ 240
A.2.2
Local-Linear Mean
Regression............. 242
A.2.3
Series Estimation of a Conditional Mean Function
. . . 245
A.3 Nonparametric Quantile Regression
............... 250
A.3.1 A Kernel-Type Estimator of qa(x)
........... 250
A.3.2 Local-Linear Estimation of qa(x)
............ 251
A.3.3 Series Estimation of qa(x)
................ 253
References
.................................. 257
Index
..................................... 267
|
| any_adam_object | 1 |
| author | Horowitz, Joel |
| author_GND | (DE-588)128779039 |
| author_facet | Horowitz, Joel |
| author_role | aut |
| author_sort | Horowitz, Joel |
| author_variant | j h jh |
| building | Verbundindex |
| bvnumber | BV035734856 |
| 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 233 QH 300 |
| ctrlnum | (OCoLC)401157055 (DE-599)DNB993929192 |
| 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 |
| format | Book |
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| id | DE-604.BV035734856 |
| illustrated | Illustrated |
| indexdate | 2024-07-09T21:53:17Z |
| institution | BVB |
| isbn | 9780387928692 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-018011384 |
| oclc_num | 401157055 |
| open_access_boolean | |
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| owner_facet | DE-355 DE-BY-UBR DE-473 DE-BY-UBG DE-11 DE-188 DE-19 DE-BY-UBM DE-739 DE-83 DE-384 DE-521 |
| physical | X, 271 S. graph. Darst. |
| publishDate | 2009 |
| publishDateSearch | 2009 |
| publishDateSort | 2009 |
| publisher | Springer |
| record_format | marc |
| series2 | Springer series in statistics |
| spelling | Horowitz, Joel Verfasser (DE-588)128779039 aut Semiparametric and nonparametric methods in econometrics Joel L. Horowitz New York, NY [u.a.] Springer 2009 X, 271 S. graph. Darst. txt rdacontent n rdamedia nc rdacarrier Springer series in statistics Literaturverz. S. 257 - 266 Nichtparametrisches Verfahren stw Theorie stw Econometrics Estimation theory Nichtparametrisches Verfahren (DE-588)4339273-8 gnd rswk-swf Semiparametrische Schätzung (DE-588)4232079-3 gnd rswk-swf Nichtparametrische Schätzung (DE-588)4203980-0 gnd rswk-swf Semiparametrisches Verfahren (DE-588)7576374-6 gnd rswk-swf Ökonometrisches Modell (DE-588)4043212-9 gnd rswk-swf Ökonometrie (DE-588)4132280-0 gnd rswk-swf Ökonometrisches Modell (DE-588)4043212-9 s Semiparametrische Schätzung (DE-588)4232079-3 s Nichtparametrische Schätzung (DE-588)4203980-0 s DE-604 Ökonometrie (DE-588)4132280-0 s Nichtparametrisches Verfahren (DE-588)4339273-8 s Semiparametrisches Verfahren (DE-588)7576374-6 s 1\p DE-604 Erscheint auch als Online-Ausgabe 978-0-387-92870-8 Digitalisierung UB Regensburg application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=018011384&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Horowitz, Joel Semiparametric and nonparametric methods in econometrics Nichtparametrisches Verfahren stw Theorie stw Econometrics Estimation theory Nichtparametrisches Verfahren (DE-588)4339273-8 gnd Semiparametrische Schätzung (DE-588)4232079-3 gnd Nichtparametrische Schätzung (DE-588)4203980-0 gnd Semiparametrisches Verfahren (DE-588)7576374-6 gnd Ökonometrisches Modell (DE-588)4043212-9 gnd Ökonometrie (DE-588)4132280-0 gnd |
| subject_GND | (DE-588)4339273-8 (DE-588)4232079-3 (DE-588)4203980-0 (DE-588)7576374-6 (DE-588)4043212-9 (DE-588)4132280-0 |
| title | Semiparametric and nonparametric methods in econometrics |
| title_auth | Semiparametric and nonparametric methods in econometrics |
| title_exact_search | Semiparametric and nonparametric methods in econometrics |
| title_full | Semiparametric and nonparametric methods in econometrics Joel L. Horowitz |
| title_fullStr | Semiparametric and nonparametric methods in econometrics Joel L. Horowitz |
| title_full_unstemmed | Semiparametric and nonparametric methods in econometrics Joel L. Horowitz |
| title_short | Semiparametric and nonparametric methods in econometrics |
| title_sort | semiparametric and nonparametric methods in econometrics |
| topic | Nichtparametrisches Verfahren stw Theorie stw Econometrics Estimation theory Nichtparametrisches Verfahren (DE-588)4339273-8 gnd Semiparametrische Schätzung (DE-588)4232079-3 gnd Nichtparametrische Schätzung (DE-588)4203980-0 gnd Semiparametrisches Verfahren (DE-588)7576374-6 gnd Ökonometrisches Modell (DE-588)4043212-9 gnd Ökonometrie (DE-588)4132280-0 gnd |
| topic_facet | Nichtparametrisches Verfahren Theorie Econometrics Estimation theory Semiparametrische Schätzung Nichtparametrische Schätzung Semiparametrisches Verfahren Ökonometrisches Modell Ökonometrie |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=018011384&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| work_keys_str_mv | AT horowitzjoel semiparametricandnonparametricmethodsineconometrics |