Developments in Nonparametric Demand Analysis PDF Download
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Author: Stefan Hoderlein
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Author: Stefan Hoderlein
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Author: Sean Ennis
Publisher:
ISBN:
Category : Demand (Economic theory)
Languages : en
Pages : 34
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Author: Daniel Slottje
Publisher: Emerald Group Publishing
ISBN: 1848553129
Category : Business & Economics
Languages : en
Pages : 410
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Book Description
Demand studies and understanding consumer behavior remain two of the most important areas of analysis by practicing applied economists and econometricians. This book presents research on the estimation of demand systems and the measurement of consumer preferences.
Author: Jean-Paul Chavas
Publisher:
ISBN:
Category : Consumption (Economics)
Languages : en
Pages : 19
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Author: M. P. Burton
Publisher:
ISBN:
Category : Agricultural industries
Languages : en
Pages :
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Author: Joshua David Angrist
Publisher:
ISBN:
Category : Demand (Economic theory)
Languages : en
Pages : 60
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Instrumental variables (IV) estimation of a demand equation using time series data is shown to produce a weighted average derivative of heterogeneous potential demand functions. This result adapts recent work on the causal interpretation of two-stage least squares estimates to the simultaneous equations context and generalizes earlier research on average derivative estimation to models with endogenous regressors. The paper also shows how to compute the weights underlying IV estimates of average derivatives in a simultaneous equations model. These ideas are illustrated using data from the Fulton Fish market in New York City to estimate an average elasticity of wholesale demand for fresh fish. The weighting function underlying IV estimates of the demand equation is graphed and interpreted. The empirical example illustrates the essentially local and context-specific nature of instrumental variables estimates of structural parameters in simultaneous equations models.
Author: Daniel J. Henderson
Publisher: Cambridge University Press
ISBN: 110701025X
Category : Business & Economics
Languages : en
Pages : 381
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Book Description
The majority of empirical research in economics ignores the potential benefits of nonparametric methods, while the majority of advances in nonparametric theory ignores the problems faced in applied econometrics. This book helps bridge this gap between applied economists and theoretical nonparametric econometricians. It discusses in depth, and in terms that someone with only one year of graduate econometrics can understand, basic to advanced nonparametric methods. The analysis starts with density estimation and motivates the procedures through methods that should be familiar to the reader. It then moves on to kernel regression, estimation with discrete data, and advanced methods such as estimation with panel data and instrumental variables models. The book pays close attention to the issues that arise with programming, computing speed, and application. In each chapter, the methods discussed are applied to actual data, paying attention to presentation of results and potential pitfalls.
Author: Luc Devroye
Publisher: New York ; Toronto : Wiley
ISBN:
Category : Mathematics
Languages : en
Pages : 376
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Book Description
This book gives a rigorous, systematic treatment of density estimates, their construction, use and analysis with full proofs. It develops L1 theory, rather than the classical L2, showing how L1 exposes fundamental properties of density estimates masked by L2.
Author: Fredj Jawadi
Publisher: Emerald Group Publishing
ISBN: 1781904006
Category : Business & Economics
Languages : en
Pages : 361
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Book Description
Since the global financial crisis began in 2008-2009, there has been a strong decline in financial markets and investment. Alternative finance presents challenges intended to stimulate investment and promote economic growth and development. This volume aims to provide the reader an understanding of alternative finance in its various forms.
Author: Jean-Paul Chavas
Publisher:
ISBN:
Category :
Languages : en
Pages : 42
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