9780691120591 - Economic Modeling and Inference de Christensen, Bent Jesper; Kiefer, Nicholas M. (17 resultados)

Hardcover. Condición: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.

Condición: New.

HRD. Condición: New. New Book. Shipped from UK. Established seller since 2000.

Condición: As New. Unread copy in mint condition.

Condición: New. Brand New.

Hardback. Condición: New. Economic Modeling and Inference takes econometrics to a new level by demonstrating how to combine modern economic theory with the latest statistical inference methods to get the most out of economic data. This graduate-level textbook draws applications from both microeconomics and macroeconomics, paying special attention to financial and labor economics, with an emphasis throughout on what observations can tell us about stochastic dynamic models of rational optimizing behavior and equilibrium. Bent Jesper Christensen and Nicholas Kiefer show how parameters often thought estimable in applications are not identified even in simple dynamic programming models, and they investigate the roles of extensions, including measurement error, imperfect control, and random utility shocks for inference. When all implications of optimization and equilibrium are imposed in the empirical procedures, the resulting estimation problems are often nonstandard, with the estimators exhibiting nonregular asymptotic behavior such as short-ranked covariance, superconsistency, and non-Gaussianity.Christensen and Kiefer explore these properties in detail, covering areas including job search models of the labor market, asset pricing, option pricing, marketing, and retirement planning. Ideal for researchers and practitioners as well as students, Economic Modeling and Inference uses real-world data to illustrate how to derive the best results using a combination of theory and cutting-edge econometric techniques. * Covers identification and estimation of dynamic programming models * Treats sources of error--measurement error, random utility, and imperfect control * Features financial applications including asset pricing, option pricing, and optimal hedging * Describes labor applications including job search, equilibrium search, and retirement * Illustrates the wide applicability of the approach using micro, macro, and marketing examples.

Condición: new.

Condición: New. Takes econometrics to a fresh level by demonstrating how to combine modern economic theory with the statistical inference methods to get the most out of economic data. This title draws applications from both microeconomics and macroeconomics, paying special attention to financial and labor economics. Num Pages: 488 pages, 19 line illus. 21 tables. BIC Classification: KCA. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 233 x 147 x 33. Weight in Grams: 814. . 2009. Hardcover. . . . .

HRD. Condición: New. New Book. Shipped from UK. Established seller since 2000.

Hardback. Condición: New. Economic Modeling and Inference takes econometrics to a new level by demonstrating how to combine modern economic theory with the latest statistical inference methods to get the most out of economic data. This graduate-level textbook draws applications from both microeconomics and macroeconomics, paying special attention to financial and labor economics, with an emphasis throughout on what observations can tell us about stochastic dynamic models of rational optimizing behavior and equilibrium. Bent Jesper Christensen and Nicholas Kiefer show how parameters often thought estimable in applications are not identified even in simple dynamic programming models, and they investigate the roles of extensions, including measurement error, imperfect control, and random utility shocks for inference. When all implications of optimization and equilibrium are imposed in the empirical procedures, the resulting estimation problems are often nonstandard, with the estimators exhibiting nonregular asymptotic behavior such as short-ranked covariance, superconsistency, and non-Gaussianity.Christensen and Kiefer explore these properties in detail, covering areas including job search models of the labor market, asset pricing, option pricing, marketing, and retirement planning. Ideal for researchers and practitioners as well as students, Economic Modeling and Inference uses real-world data to illustrate how to derive the best results using a combination of theory and cutting-edge econometric techniques. * Covers identification and estimation of dynamic programming models * Treats sources of error--measurement error, random utility, and imperfect control * Features financial applications including asset pricing, option pricing, and optimal hedging * Describes labor applications including job search, equilibrium search, and retirement * Illustrates the wide applicability of the approach using micro, macro, and marketing examples.

Condición: New. pp. xiv + 482 Illus.

Condición: New. Takes econometrics to a fresh level by demonstrating how to combine modern economic theory with the statistical inference methods to get the most out of economic data. This title draws applications from both microeconomics and macroeconomics, paying special attention to financial and labor economics. Num Pages: 488 pages, 19 line illus. 21 tables. BIC Classification: KCA. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 233 x 147 x 33. Weight in Grams: 814. . 2009. Hardcover. . . . . Books ship from the US and Ireland.

Hardback. Condición: New. New copy - Usually dispatched within 4 working days.

Hardcover. Condición: Brand New. 456 pages. 9.20x6.10x1.40 inches. In Stock.

Condición: New. pp. xiv + 482.

Hardback. Condición: New. Economic Modeling and Inference takes econometrics to a new level by demonstrating how to combine modern economic theory with the latest statistical inference methods to get the most out of economic data. This graduate-level textbook draws applications from both microeconomics and macroeconomics, paying special attention to financial and labor economics, with an emphasis throughout on what observations can tell us about stochastic dynamic models of rational optimizing behavior and equilibrium. Bent Jesper Christensen and Nicholas Kiefer show how parameters often thought estimable in applications are not identified even in simple dynamic programming models, and they investigate the roles of extensions, including measurement error, imperfect control, and random utility shocks for inference. When all implications of optimization and equilibrium are imposed in the empirical procedures, the resulting estimation problems are often nonstandard, with the estimators exhibiting nonregular asymptotic behavior such as short-ranked covariance, superconsistency, and non-Gaussianity.Christensen and Kiefer explore these properties in detail, covering areas including job search models of the labor market, asset pricing, option pricing, marketing, and retirement planning. Ideal for researchers and practitioners as well as students, Economic Modeling and Inference uses real-world data to illustrate how to derive the best results using a combination of theory and cutting-edge econometric techniques. * Covers identification and estimation of dynamic programming models * Treats sources of error--measurement error, random utility, and imperfect control * Features financial applications including asset pricing, option pricing, and optimal hedging * Describes labor applications including job search, equilibrium search, and retirement * Illustrates the wide applicability of the approach using micro, macro, and marketing examples.

Hardback. Condición: New. Economic Modeling and Inference takes econometrics to a new level by demonstrating how to combine modern economic theory with the latest statistical inference methods to get the most out of economic data. This graduate-level textbook draws applications from both microeconomics and macroeconomics, paying special attention to financial and labor economics, with an emphasis throughout on what observations can tell us about stochastic dynamic models of rational optimizing behavior and equilibrium. Bent Jesper Christensen and Nicholas Kiefer show how parameters often thought estimable in applications are not identified even in simple dynamic programming models, and they investigate the roles of extensions, including measurement error, imperfect control, and random utility shocks for inference. When all implications of optimization and equilibrium are imposed in the empirical procedures, the resulting estimation problems are often nonstandard, with the estimators exhibiting nonregular asymptotic behavior such as short-ranked covariance, superconsistency, and non-Gaussianity.Christensen and Kiefer explore these properties in detail, covering areas including job search models of the labor market, asset pricing, option pricing, marketing, and retirement planning. Ideal for researchers and practitioners as well as students, Economic Modeling and Inference uses real-world data to illustrate how to derive the best results using a combination of theory and cutting-edge econometric techniques. * Covers identification and estimation of dynamic programming models * Treats sources of error--measurement error, random utility, and imperfect control * Features financial applications including asset pricing, option pricing, and optimal hedging * Describes labor applications including job search, equilibrium search, and retirement * Illustrates the wide applicability of the approach using micro, macro, and marketing examples.