Econometric models, techniques, and applications:
Gespeichert in:
| Hauptverfasser: | , , |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Upper Saddle River, NJ
Prentice-Hall
1996
|
| Ausgabe: | second edition |
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | XVII, 654 Seiten |
| ISBN: | 0132247755 |
Internformat
MARC
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| 245 | 1 | 0 | |a Econometric models, techniques, and applications |c Michael D. Intriligator, Ronald G.Bodkin, Cheng Hsiao |
| 250 | |a second edition | ||
| 264 | 1 | |a Upper Saddle River, NJ |b Prentice-Hall |c 1996 | |
| 300 | |a XVII, 654 Seiten | ||
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Datensatz im Suchindex
| _version_ | 1804127487293128704 |
|---|---|
| adam_text | CONTENTS
Preface
xiii
PART I INTRODUCTION: OVERVIEW, MODELS,
AND DATA
Chapter
1
The Econometric Approach
1
1.1
What is econometrics?
1
1.2
The nature of the econometric approach
2
1.3
The purposes of econometrics
4
1.4
An example: The demand curve and the price elasticity of demand
5
1.5
Second example: The consumption function
7
1.6
Third example: The growth of science
8
1.7
Traditional econometrics under criticism
9
1.8
Learning by doing in econometrics
11
Bibliography
11
Chapter
2
Models, Economic Models, and
Econometric Models
13
2.1
What is a model?
13
2.2
Types oj models: Verbal/logical, physical, and geometric
15
2.3
Algebraic models
17
2.4
Econometric models
19
2.5
The prototype micro model
24
2.6
The prototype macro model
29
2.7
Related approaches to econometric modeling
33
2.8
The general econometric model: Structural form and reduced form
35
2.9
The final form
40
2.10
Identification of the general econometric model; concluding remarks
42
Problems
45
Bibliography
47
Chapter
3
Data and Refined Data
50
3.1
What are data?
50
3.2
Quantitative versus qualitative data; dummy variables
51
3.3
Ћте
-series
versus cross-section data; pooling;
microdata
54
3.4
Nonexperimental versus experimental data: Social experimentation
57
3.5
Problems with the data
58
3.6
Refining the data
59
3.7
Accuracy of economic data
62
3.8
Sources of economic data
64
Problems
64
Bibliography
68
PART II SINGLE-EQUATION ESTIMATION
Chapter
4
The Basic Linear Regression
Model
70
4.1
Introduction
70
4.2
The linear regression model
70
4.3
Estimation using the method of least squares
74
4.4
The Gauss-Markov theorem and properties of the least squares estimator
79
4.5
Maximum likelihood and the method of moments estimators
84
4.6
Linear restrictions on the coefficients
86
4.7
Statistical inference
88
4.8
Prediction
98
4.9
Examples
99
4.10
Nonnested hypothesis testing and model selection criteria
104
4.1
1 Bayesian analysis of the linear regression model
109
Problems
117
Bibliography
122
Chapter
5
Extensions of the Simple Linear
Regression Model
125
5. /
Problems: Their diagnosis and treatment
125
5.2
Multicollinearity
126
5.3
Generalized least squares method and seemingly unrelated regression models
133
5.4
Heteroskedasticity
136
5.5
Serial correlation
139
5.6
Error components models
146
5.7
Specification error
151
5.8
Errors in variables and the method of instrumental variables
155
5.9
Nonlinear least squares estimator: Gauss-Newton and Newton-Raphson methodsfor solving
nonlinear equations
159
5.10
Discrete
response
models: Linear probability,
probit,
and logit models
161
5.11
Censored or truncated regression models
164
5.12
Robust methods
167
5.13
Parametric and semiparametric estimation
169
5.14
Approaches to analyzing economic data
174
Problems
176
Bibliography
181
Chapter
6
Introduction to Time-Series Analysis and
Dynamic Specification
187
6.1
Introduction
187
6.2
Some basic tools
189
6.3
Stationary processes
191
6.4
Box-Jenkins procedure for building linear (stationary) time-series models
198
6.5
Nonstationary time series
207
6.6
Example
216
6.7
Minimum mean square error forecast
219
6.8
Transfer function models
222
Problems
232
Bibliography
235
PART III APPLICATIONS OF SINGLE-EQUATION
ESTIMATION
Chapter
7
Application to Households; Demand
Analysis
238
7.1
Introduction
238
7.2
The theory of the household
239
7.3
Single demand equations versus systems of demand equations
248
7.4
Single demand equations
249
7.5
Systems of demand equations
254
7.6
Identification
258
7.7
Aggregation
261
7.8
Dynamic demand analysis
263
Problems
268
Bibliography
273
Chapter
8
Applications to Firms; Production
Functions and Cost Functions
275
<S.
1
Introduction
275
S.2
Г/ге
theory of the firm
275
&3 Estimation of production functions
284
<£ 4
Estimation of cost curves and cost functions
299
#.5
Estimation of factor demand equations
302
5.6
Technical change
306
Problems
309
Bibliography
313
PART IV SIMULTANEOUS EQUATIONS AND
DYNAMIC SYSTEMS
Chapters The Simultaneous-Equations System
and Its identification
318
9.1
The simultaneous-equations system
318
9.2
The problem of identification
323
9.3
Identification by zero restrictions in the nonstochastic case
326
9.4
Identification by general linear restrictions
332
9.5
Recursive systems
336
9.6
Identification of nonlinear models
339
Problems
341
Bibliography
345
Chapter
10
Estimation of Simultaneous-Equations
Systems
347
10.1
Introduction
347
10.2
Naive, limited-information, and full-information approaches
351
10.3
Ordinary least squares and least squares bias
353
10.4
Indirect least squares
356
/0.5
Two-stage least squares and k-class estimators
360
10.6
Instrumental variables
369
10.7
Three-stage least squares
374
10.8
Full-information maximum likelihood
382
10.9
Monte Carlo studies of small-sample properties of estimators
386
10.10
Nonlinear simultaneous equations models
390
Problems
393
Bibliography
396
Chapter
11
Dynamic Systems
400
11.1
Introduction
400
11.2
Dynamic simultaneous-equations models
400
11.3
Modeling unrestricted multiple time series: The approach ofTiao and Box
403
11.4
Granger causality
409
11.5
Cointegration
412
11.6
Relations between time-series models and structural econometric models
421
Problems
425
Bibliography
426
PART V APPLICATIONS OF SIMULTANEOUS-
EQUATIONS ESTIMATION
Chapter
12
Applications to Macroeconometric
Models
430
12.1
The nature of macroeconometric models
430
12.2
The Klein interwar model
432
12.3
The Klein-Goldberger model
436
12.4
The Wharton model
438
12.5
The MPS model
441
12.6
The
DRI
model
443
12.7
Survey of some macroeconometric models of the U.S. economy
447
12.8
Some international experience; the
CANDIDE
model of the Canadian economy
453
12.9
Trends in macroeconometric model construction
456
Problems
458
Bibliography
460
Chapter
13
Other Applications of Simultaneous-
Equations Estimation
465
13.1
Introduction
465
13.2
Simultaneous-equations model of money demand and supply
466
13.3
Simultaneous-equations model of industrial-organization relationships
470
13.4
Simultaneous-equations model in labor economics
474
13.5
Simultaneous-equations model of the health system
475
13.6
Simultaneous-equations model of alcoholism
479
13.7
Economic history; cliometrics
483
Problems
484
Bibliography
486
PART VI THE USES AND EVALUATION OF
ECONOMETRIC MODELS
Chapter
14
Structural Analysis
490
14.1
The uses of econometric models
490
14.2
The nature of structural analysis
491
14.3
Comparative statics
492
14.4
Elasticities
495
14.5
Multipliers: Impact, interim, and long-run (the linear case)
498
14.6
Multipliers: Impact, interim, and long-run (the nonlinear case)
500
14.7
Example of multiplier analysis: The Suits study
502
14.8
Second example of multiplier analysis: The Goldberger study
504
14.9
Third example of multiplier analysis: Study of comparative multipliers of U.S.
macroeconometric models from a models comparisons project
505
14.10
Fourth example of multiplier analysis: Comparative interim multipliers with Canadian
macroeconometric models
507
14.11
Final example of multiplier analysis: The
DRI
model of the early
1980s 508
Problems
510
Bibliography
511
Chapter
15
Forecasting
513
15.1
The nature of forecasting
513
15.2
Alternative approaches to forecasting
515
15.3
The econometric approach to forecasting; short-term forecasts
518
15.4
Long-term forecasts
523
15.5
Forecast accuracy
523
15.6
Forecasting experience with macroeconometric models: Specific studies
527
15.7
Forecasting experience with macroeconometric models: General lessons
532
15.8
Combining forecasts and forecasting methods
535
Problems
537
Bibliography
540
Chapter
16
Policy Evaluation
545
16.1
The nature of policy evaluation
545
16.2
Alternative approaches to policy evaluation
546
16.3
Policy evaluation using an econometric model
548
16.4
The instruments-targets approach
549
16.5
The social-welfare-function approach; optimal control
551
16.6
The simulation approach
555
16.7
The options for Canadian policymakers at the beginning of the
1
980s and two other examples
559
16.8
The econometric approach to policy evaluation
562
Problems
564
Bibliography
565
Chapter
17
Validation of Econometric Models and
Managerial Aspects of the Uses of
Econometric Models
569
17.1
Introduction
569
17.2
Are the a priori constraints respected?
570
17.3
Parametric tests prior to the release of the model
572
17.4
Parametric tests after release
574
17.5
Nonparametric tests oj an econometric model
576
17.6
The model as a system or
gestalt
578
17.7
The problem of a possible break in structure; the Lucas critique
579
17.8
Managerial aspects of model uses: Four examples
580
17.9
Model management and the role of judgment
582
Problems
583
Bibliography
584
Appendix A An Econometric Project
586
A.I The nature of the econometric project
586
A.2 The model
586
A.3 The data
589
A.4 Estimation of the model
591
A.
5
What to include in the write-up
591
A.6 A bibliography of econometric applications
593
Appendix
В
Matrices
599
B.I Basic definitions and examples
599
B.
2
Some special matrices
600
B.3 Matrix relations and operations
602
B.4 Scalar-valued functions defined on matrices
607
B.
5
Inverse and generalized inverse matrices
610
B.
6
Systems of linear equations; solutions and least squares fits
612
B.
7
Linear transformations and characteristic roots and vectors
616
В.
8
Quadratic forms
618
8.
9
Matrix derivatives
619
8.
10
Mathematical programming
621
Bibliography
624
Appendix
С
Probability and Statistics
625
C.I Probability
625
C.2 Random variables; distribution and density functions
627
C.3 Mean, variance, covariance, and other moments; sample measures
632
C.4 Some specific
distributions
635
С.
5
Additional results on distribution theory
639
Bibliography
639
Indexes
641
|
| any_adam_object | 1 |
| author | Intriligator, Michael D. 1938- Bodkin, Ronald G. 1936- Hsiao, Cheng 1943- |
| author_GND | (DE-588)130022632 (DE-588)130014125 (DE-588)12424999X |
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| discipline | Wirtschaftswissenschaften |
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| id | DE-604.BV012813646 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-09T18:34:08Z |
| institution | BVB |
| isbn | 0132247755 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-008715992 |
| oclc_num | 33404640 |
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| owner_facet | DE-355 DE-BY-UBR DE-1047 DE-739 |
| physical | XVII, 654 Seiten |
| publishDate | 1996 |
| publishDateSearch | 1996 |
| publishDateSort | 1996 |
| publisher | Prentice-Hall |
| record_format | marc |
| spelling | Intriligator, Michael D. 1938- Verfasser (DE-588)130022632 aut Econometric models, techniques, and applications Michael D. Intriligator, Ronald G.Bodkin, Cheng Hsiao second edition Upper Saddle River, NJ Prentice-Hall 1996 XVII, 654 Seiten txt rdacontent n rdamedia nc rdacarrier Econometrische modellen gtt Ökonometrisches Modell Econometric models Econometrics Anwendung (DE-588)4196864-5 gnd rswk-swf Technik (DE-588)4059205-4 gnd rswk-swf Ökonometrisches Modell (DE-588)4043212-9 gnd rswk-swf Ökonometrie (DE-588)4132280-0 gnd rswk-swf Modell (DE-588)4039798-1 gnd rswk-swf Ökonometrisches Modell (DE-588)4043212-9 s DE-604 Ökonometrie (DE-588)4132280-0 s Modell (DE-588)4039798-1 s Technik (DE-588)4059205-4 s Anwendung (DE-588)4196864-5 s 1\p DE-604 Bodkin, Ronald G. 1936- Verfasser (DE-588)130014125 aut Hsiao, Cheng 1943- Verfasser (DE-588)12424999X aut Digitalisierung UB Passau application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=008715992&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 | Intriligator, Michael D. 1938- Bodkin, Ronald G. 1936- Hsiao, Cheng 1943- Econometric models, techniques, and applications Econometrische modellen gtt Ökonometrisches Modell Econometric models Econometrics Anwendung (DE-588)4196864-5 gnd Technik (DE-588)4059205-4 gnd Ökonometrisches Modell (DE-588)4043212-9 gnd Ökonometrie (DE-588)4132280-0 gnd Modell (DE-588)4039798-1 gnd |
| subject_GND | (DE-588)4196864-5 (DE-588)4059205-4 (DE-588)4043212-9 (DE-588)4132280-0 (DE-588)4039798-1 |
| title | Econometric models, techniques, and applications |
| title_auth | Econometric models, techniques, and applications |
| title_exact_search | Econometric models, techniques, and applications |
| title_full | Econometric models, techniques, and applications Michael D. Intriligator, Ronald G.Bodkin, Cheng Hsiao |
| title_fullStr | Econometric models, techniques, and applications Michael D. Intriligator, Ronald G.Bodkin, Cheng Hsiao |
| title_full_unstemmed | Econometric models, techniques, and applications Michael D. Intriligator, Ronald G.Bodkin, Cheng Hsiao |
| title_short | Econometric models, techniques, and applications |
| title_sort | econometric models techniques and applications |
| topic | Econometrische modellen gtt Ökonometrisches Modell Econometric models Econometrics Anwendung (DE-588)4196864-5 gnd Technik (DE-588)4059205-4 gnd Ökonometrisches Modell (DE-588)4043212-9 gnd Ökonometrie (DE-588)4132280-0 gnd Modell (DE-588)4039798-1 gnd |
| topic_facet | Econometrische modellen Ökonometrisches Modell Econometric models Econometrics Anwendung Technik Ökonometrie Modell |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=008715992&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| work_keys_str_mv | AT intriligatormichaeld econometricmodelstechniquesandapplications AT bodkinronaldg econometricmodelstechniquesandapplications AT hsiaocheng econometricmodelstechniquesandapplications |