An introduction to the structural econometrics of auction data:
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Cambridge, Mass. [u.a.]
MIT Press
2006
|
| Schlagworte: | |
| Online-Zugang: | Klappentext Inhaltsverzeichnis |
| Beschreibung: | CD-ROM-Beil. u.d.T.: Data and sample solution code for empirical problems in An introduction to the structural econometric analysis of auctions Includes bibliographical references (p. 327-336) and indexes |
| Beschreibung: | XXV, 422 S. graph. Darst. 1 CD-ROM (12 cm) |
| ISBN: | 0262162350 |
Internformat
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| 245 | 1 | 0 | |a An introduction to the structural econometrics of auction data |c Harry J. Paarsch ; Han Hong. With contributions by M. Ryan Haley |
| 264 | 1 | |a Cambridge, Mass. [u.a.] |b MIT Press |c 2006 | |
| 300 | |a XXV, 422 S. |b graph. Darst. |e 1 CD-ROM (12 cm) | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 500 | |a CD-ROM-Beil. u.d.T.: Data and sample solution code for empirical problems in An introduction to the structural econometric analysis of auctions | ||
| 500 | |a Includes bibliographical references (p. 327-336) and indexes | ||
| 650 | 4 | |a Vente aux enchères - Modèles économétriques | |
| 650 | 4 | |a Ökonometrisches Modell | |
| 650 | 4 | |a Auctions |x Econometric models | |
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| 650 | 0 | 7 | |a Wirtschaftsmodell |0 (DE-588)4079348-5 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Auktion |0 (DE-588)4125859-9 |2 gnd |9 rswk-swf |
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Datensatz im Suchindex
| _version_ | 1804136168999092224 |
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| adam_text | AN INTRODUCTION
TO THE STRUCTURAL ECONOMETRICS
OF AUCTION DATA
HARRY J. PAARSCH and HAN HONG
with contributions from M. RYAN HALEY
This text, intended for both graduate students and
professional researchers, is an effective, concise intro¬
duction to the structural econometrics of auctions.
Tools from recent developments in theoretical econo¬
metrics are combined with established numerical
methods to provide a practical guide to most of the
main concepts in the empirical analysis of field data
from auctions. Among other things, the text is
remarkable for a large number of mathematical prob¬
lems and empirical exercises for which sample solu¬
tions are provided at the end of the book. In the case of
the empirical exercises, sample code written in
7
implement many empirical specifications quickly.
In the first two chapters, the authors introduce
several important issues in the analysis of field data
from auctions and then go on to develop a simple the¬
oretical model within the independent, private-values
paradigm. In the third chapter, under several data-
generating schemes, the authors outline empirical
methods for analyzing data from single-object
Vickrey and English auctions, while in the fourth
chapter, they outline methods for analyzing data from
the single-object, Dutch, and first-price sealed-bid
auctions. In the fifth chapter, the authors discuss the¬
oretical issues important in the analysis of multi-
good auctions, focusing on the analysis of multi-unit
auctions, and then provide examples of some recent
strategies designed to analyze data from these auc¬
tions. Included at the end are a number of appendix¬
es that review the technical tools required in
developing the topics treated in the text. A CD-ROM
containing sample computer code and data sets
accompanies the text.
Harry J. Paarsch is Professor of Economics and
Robert Jensen Research Fellow at the Henry B. Tippie
College of Business. University of Iowa. Han Hong is
Professor of Economics at Duke University. M. Ryan
Haley is Assistant Professor of Economics at the
University ofWisconsin-Oshkosh.
Table
Preface
1
2
3
4
5
6
7
1
1.1
1.2
1.3
1.4
2
2.1
2.1.1
2.1.2
2.1.3
2.1.4
2.1.5
2.2
2.2.1
2.2.2
2.2.3
2.2.4
2.3
2.4
2.4.1
2.4.2
2.4.3
2.5
ix
2.6
2.6.1
2.6.2
2.6.3
2.6.4
2.7
2.8
3
3.1
3.2
3.3
3.3.1
3.3.2
3.4
3.5
3.5.1
3.5.2
3.5.3
3.5.4
3.5.5
3.5.6
3.5.7
3.6
3.7
3.8
3.8.1
3.8.2
3.9
4
4.1
4.2
4.2.1
4.2.2
4.2.3
4.2.4
4.2.5
4.3
4.4
4.4.1
4.4.2
4.5
4.6
4.6.1
4.6.2
4.6.3
4.7
4.7.1
4.7.2
4.7.3
4.7.4
4.8
4.9
5
5.1
5.1.1
5.1.2
5.1.3
5.2
5.2.1
5.2.2
5.2.3
5.3
5.4
5.4.1
5.4.2
5.5
5.5.1
5.5.2
5.5.3
5.5.4
5.5.5
5.5.6
5.6
5.6.1
5.6.2
5.7
6
6.1
6.2
6.3
6.4
xi
Appendixes ............................ 229
A.I Transformations of Random
A.
A.
A.2 Order Statistics
A.2.1 Independent and Identically Distributed Case
A.2.
A.3 Simulation
A.3.1 Distribution of Cumulative Distribution Functions
A.3.
A.3.3 Pseudo-Random Numbers
A.
A.4.1 Parameter Consistency: Laws of Large Numbers
A.4.2 Asymptotic Normality: Central Limit Theorems
A.
A.4.4 Delta Method
A.
A.
A.
A.5.1.1 Unbiasedness
A.5.1.2 Variance
A.5.1.3 Mean Squared-Error
A.5.2 Large-Sample Properties
A.
A.
A.5.3 The Bootstrap
A.6 Estimation Strategies
A.
A.6.1.1 Definition
A.6.
A.6.
A.6.2 Method of Maximum Likelihood
A.6.2.1 Definition
A.6.2.2 Parameter Consistency/Asymptotic Normality
A.
A.6.
A.6.3.2 Kernel-Smoothed Density Functions
A.6.3.3 Empirical Distribution Function
A.6.4 Bandwidth Choice
A.6.5 Asymptotic Distribution of Order Statistics
A.6.6 Characteristic Functions: Deconvolution Methods
xn
А.7
A.7.1 Finding the Zero of a Function
A.ľ.l.l
A.7.1.2 Newton s Method
A.
A.7.3 Constrained Optimization
A.
A.
A.7.5 Approximation Methods
A.
A.8.1 Getting Started
А.б.і.і
А.8.1.2
A.8.1.3 Manipulating Data
A.8.1.4 Basic Matrix Functions
A.8.1.
A.8.1.6 Two-Dimensional Plotting
A.8.1.7 Three-Dimensional Plotting
A.8.2 Statistics Toolbox
A.8.2.1 Descriptive Statistics
A.
A.8.2.3 Probability Density Functions
A.
A.8.2.5 Bootstrapping
A.
A.8.3.1 A Generic Function
A.8.3.2 Writing a User-Defined Function
A.8.3.3 Another User-Defined Function
A.8.4 Optimization Toolbox
A.8.4.1 Driver Files and Objective Functions
A.8.4.2 Gradient Vectors and Hessian Matrices
A.8.4.3 Unconstrained Optimization
A.
A.
References
Solutions
1.1
1.2
1.3
1.4
1.5
xiii
1.6
2.1
2.2
2.3
2.4
2.5
3.1
3.2
3.3
3.4
3.5
4.1
4.2
4.3
4.4
5.1
5.2
Name Index
Subject Index
XIV
|
| adam_txt |
AN INTRODUCTION
TO THE STRUCTURAL ECONOMETRICS
OF AUCTION DATA
HARRY J. PAARSCH and HAN HONG
with contributions from M. RYAN HALEY
This text, intended for both graduate students and
professional researchers, is an effective, concise intro¬
duction to the structural econometrics of auctions.
Tools from recent developments in theoretical econo¬
metrics are combined with established numerical
methods to provide a practical guide to most of the
main concepts in the empirical analysis of field data
from auctions. Among other things, the text is
remarkable for a large number of mathematical prob¬
lems and empirical exercises for which sample solu¬
tions are provided at the end of the book. In the case of
the empirical exercises, sample code written in
7
implement many empirical specifications quickly.
In the first two chapters, the authors introduce
several important issues in the analysis of field data
from auctions and then go on to develop a simple the¬
oretical model within the independent, private-values
paradigm. In the third chapter, under several data-
generating schemes, the authors outline empirical
methods for analyzing data from single-object
Vickrey and English auctions, while in the fourth
chapter, they outline methods for analyzing data from
the single-object, Dutch, and first-price sealed-bid
auctions. In the fifth chapter, the authors discuss the¬
oretical issues important in the analysis of multi-
good auctions, focusing on the analysis of multi-unit
auctions, and then provide examples of some recent
strategies designed to analyze data from these auc¬
tions. Included at the end are a number of appendix¬
es that review the technical tools required in
developing the topics treated in the text. A CD-ROM
containing sample computer code and data sets
accompanies the text.
Harry J. Paarsch is Professor of Economics and
Robert Jensen Research Fellow at the Henry B. Tippie
College of Business. University of Iowa. Han Hong is
Professor of Economics at Duke University. M. Ryan
Haley is Assistant Professor of Economics at the
University ofWisconsin-Oshkosh.
Table
Preface
1
2
3
4
5
6
7
1
1.1
1.2
1.3
1.4
2
2.1
2.1.1
2.1.2
2.1.3
2.1.4
2.1.5
2.2
2.2.1
2.2.2
2.2.3
2.2.4
2.3
2.4
2.4.1
2.4.2
2.4.3
2.5
ix
2.6
2.6.1
2.6.2
2.6.3
2.6.4
2.7
2.8
3
3.1
3.2
3.3
3.3.1
3.3.2
3.4
3.5
3.5.1
3.5.2
3.5.3
3.5.4
3.5.5
3.5.6
3.5.7
3.6
3.7
3.8
3.8.1
3.8.2
3.9
4
4.1
4.2
4.2.1
4.2.2
4.2.3
4.2.4
4.2.5
4.3
4.4
4.4.1
4.4.2
4.5
4.6
4.6.1
4.6.2
4.6.3
4.7
4.7.1
4.7.2
4.7.3
4.7.4
4.8
4.9
5
5.1
5.1.1
5.1.2
5.1.3
5.2
5.2.1
5.2.2
5.2.3
5.3
5.4
5.4.1
5.4.2
5.5
5.5.1
5.5.2
5.5.3
5.5.4
5.5.5
5.5.6
5.6
5.6.1
5.6.2
5.7
6
6.1
6.2
6.3
6.4
xi
Appendixes . 229
A.I Transformations of Random
A.
A.
A.2 Order Statistics
A.2.1 Independent and Identically Distributed Case
A.2.
A.3 Simulation
A.3.1 Distribution of Cumulative Distribution Functions
A.3.
A.3.3 Pseudo-Random Numbers
A.
A.4.1 Parameter Consistency: Laws of Large Numbers
A.4.2 Asymptotic Normality: Central Limit Theorems
A.
A.4.4 Delta Method
A.
A.
A.
A.5.1.1 Unbiasedness
A.5.1.2 Variance
A.5.1.3 Mean Squared-Error
A.5.2 Large-Sample Properties
A.
A.
A.5.3 The Bootstrap
A.6 Estimation Strategies
A.
A.6.1.1 Definition
A.6.
A.6.
A.6.2 Method of Maximum Likelihood
A.6.2.1 Definition
A.6.2.2 Parameter Consistency/Asymptotic Normality
A.
A.6.
A.6.3.2 Kernel-Smoothed Density Functions
A.6.3.3 Empirical Distribution Function
A.6.4 Bandwidth Choice
A.6.5 Asymptotic Distribution of Order Statistics
A.6.6 Characteristic Functions: Deconvolution Methods
xn
А.7
A.7.1 Finding the Zero of a Function
A.ľ.l.l
A.7.1.2 Newton's Method
A.
A.7.3 Constrained Optimization
A.
A.
A.7.5 Approximation Methods
A.
A.8.1 Getting Started
А.б.і.і
А.8.1.2
A.8.1.3 Manipulating Data
A.8.1.4 Basic Matrix Functions
A.8.1.
A.8.1.6 Two-Dimensional Plotting
A.8.1.7 Three-Dimensional Plotting
A.8.2 Statistics Toolbox
A.8.2.1 Descriptive Statistics
A.
A.8.2.3 Probability Density Functions
A.
A.8.2.5 Bootstrapping
A.
A.8.3.1 A Generic Function
A.8.3.2 Writing a User-Defined Function
A.8.3.3 Another User-Defined Function
A.8.4 Optimization Toolbox
A.8.4.1 Driver Files and Objective Functions
A.8.4.2 Gradient Vectors and Hessian Matrices
A.8.4.3 Unconstrained Optimization
A.
A.
References
Solutions
1.1
1.2
1.3
1.4
1.5
xiii
1.6
2.1
2.2
2.3
2.4
2.5
3.1
3.2
3.3
3.4
3.5
4.1
4.2
4.3
4.4
5.1
5.2
Name Index
Subject Index
XIV |
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| id | DE-604.BV022194717 |
| illustrated | Illustrated |
| index_date | 2024-07-02T16:22:29Z |
| indexdate | 2024-07-09T20:52:07Z |
| institution | BVB |
| isbn | 0262162350 |
| language | English |
| lccn | 2005054432 |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-015406236 |
| oclc_num | 61758719 |
| open_access_boolean | |
| owner | DE-355 DE-BY-UBR DE-384 DE-M382 DE-83 DE-N2 DE-11 |
| owner_facet | DE-355 DE-BY-UBR DE-384 DE-M382 DE-83 DE-N2 DE-11 |
| physical | XXV, 422 S. graph. Darst. 1 CD-ROM (12 cm) |
| publishDate | 2006 |
| publishDateSearch | 2006 |
| publishDateSort | 2006 |
| publisher | MIT Press |
| record_format | marc |
| spelling | Paarsch, Harry J. Verfasser (DE-588)170628671 aut An introduction to the structural econometrics of auction data Harry J. Paarsch ; Han Hong. With contributions by M. Ryan Haley Cambridge, Mass. [u.a.] MIT Press 2006 XXV, 422 S. graph. Darst. 1 CD-ROM (12 cm) txt rdacontent n rdamedia nc rdacarrier CD-ROM-Beil. u.d.T.: Data and sample solution code for empirical problems in An introduction to the structural econometric analysis of auctions Includes bibliographical references (p. 327-336) and indexes Vente aux enchères - Modèles économétriques Ökonometrisches Modell Auctions Econometric models Auktionstheorie (DE-588)4732699-2 gnd rswk-swf Wirtschaftsmodell (DE-588)4079348-5 gnd rswk-swf Auktion (DE-588)4125859-9 gnd rswk-swf Auktion (DE-588)4125859-9 s Auktionstheorie (DE-588)4732699-2 s Wirtschaftsmodell (DE-588)4079348-5 s b DE-604 Hong, Han Verfasser (DE-588)128978562 aut Digitalisierung UB Regensburg application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=015406236&sequence=000003&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Klappentext Digitalisierung UB Regensburg application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=015406236&sequence=000004&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Paarsch, Harry J. Hong, Han An introduction to the structural econometrics of auction data Vente aux enchères - Modèles économétriques Ökonometrisches Modell Auctions Econometric models Auktionstheorie (DE-588)4732699-2 gnd Wirtschaftsmodell (DE-588)4079348-5 gnd Auktion (DE-588)4125859-9 gnd |
| subject_GND | (DE-588)4732699-2 (DE-588)4079348-5 (DE-588)4125859-9 |
| title | An introduction to the structural econometrics of auction data |
| title_auth | An introduction to the structural econometrics of auction data |
| title_exact_search | An introduction to the structural econometrics of auction data |
| title_exact_search_txtP | An introduction to the structural econometrics of auction data |
| title_full | An introduction to the structural econometrics of auction data Harry J. Paarsch ; Han Hong. With contributions by M. Ryan Haley |
| title_fullStr | An introduction to the structural econometrics of auction data Harry J. Paarsch ; Han Hong. With contributions by M. Ryan Haley |
| title_full_unstemmed | An introduction to the structural econometrics of auction data Harry J. Paarsch ; Han Hong. With contributions by M. Ryan Haley |
| title_short | An introduction to the structural econometrics of auction data |
| title_sort | an introduction to the structural econometrics of auction data |
| topic | Vente aux enchères - Modèles économétriques Ökonometrisches Modell Auctions Econometric models Auktionstheorie (DE-588)4732699-2 gnd Wirtschaftsmodell (DE-588)4079348-5 gnd Auktion (DE-588)4125859-9 gnd |
| topic_facet | Vente aux enchères - Modèles économétriques Ökonometrisches Modell Auctions Econometric models Auktionstheorie Wirtschaftsmodell Auktion |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=015406236&sequence=000003&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=015406236&sequence=000004&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA |
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