Author: United States. Congress. House. Committee on Banking, Finance, and Urban Affairs. Subcommittee on Domestic Monetary Policy
Publisher:
ISBN:
Category : Budget deficits
Languages : en
Pages : 56
Book Description
Zero Inflation
Author: United States. Congress. House. Committee on Banking, Finance, and Urban Affairs. Subcommittee on Domestic Monetary Policy
Publisher:
ISBN:
Category : Budget deficits
Languages : en
Pages : 56
Book Description
Publisher:
ISBN:
Category : Budget deficits
Languages : en
Pages : 56
Book Description
Zero Inflation
Author: United States. Congress. House. Committee on Banking, Finance, and Urban Affairs. Subcommittee on Domestic Monetary Policy
Publisher:
ISBN:
Category : Budget deficits
Languages : en
Pages : 84
Book Description
Publisher:
ISBN:
Category : Budget deficits
Languages : en
Pages : 84
Book Description
Zero Inflation
Author: Richard G. Lipsey
Publisher:
ISBN: 9780608218359
Category :
Languages : en
Pages : 175
Book Description
Publisher:
ISBN: 9780608218359
Category :
Languages : en
Pages : 175
Book Description
Zero Inflation
Author: Richard G. Lipsey
Publisher:
ISBN:
Category : Inflation
Languages : en
Pages : 184
Book Description
Publisher:
ISBN:
Category : Inflation
Languages : en
Pages : 184
Book Description
Zero Inflation
Author: United States. Congress. House. Committee on Banking, Finance, and Urban Affairs. Subcommittee on Domestic Monetary Policy
Publisher:
ISBN:
Category : Budget deficits
Languages : en
Pages : 72
Book Description
Publisher:
ISBN:
Category : Budget deficits
Languages : en
Pages : 72
Book Description
Beginner's Guide to Zero-inflated Models with R
Author: Alain F. Zuur
Publisher:
ISBN: 9780957174184
Category : Ecology
Languages : en
Pages : 414
Book Description
Publisher:
ISBN: 9780957174184
Category : Ecology
Languages : en
Pages : 414
Book Description
Functional Form and Heterogeneity in Models for Count Data
Author: William Greene
Publisher: Now Publishers Inc
ISBN: 160198054X
Category : Business & Economics
Languages : en
Pages : 120
Book Description
This study presents several extensions of the most familiar models for count data, the Poisson and negative binomial models. We develop an encompassing model for two well-known variants of the negative binomial model (the NB1 and NB2 forms). We then analyze some alternative approaches to the standard log gamma model for introducing heterogeneity into the loglinear conditional means for these models. The lognormal model provides a versatile alternative specification that is more flexible (and more natural) than the log gamma form, and provides a platform for several "two part" extensions, including zero inflation, hurdle, and sample selection models. (We briefly present some alternative approaches to modeling heterogeneity.) We also resolve some features in Hausman, Hall and Griliches (1984, Economic models for count data with an application to the patents-R & D relationship, Econometrica 52, 909-938) widely used panel data treatments for the Poisson and negative binomial models that appear to conflict with more familiar models of fixed and random effects. Finally, we consider a bivariate Poisson model that is also based on the lognormal heterogeneity model. Two recent applications have used this model. We suggest that the correlation estimated in their model frameworks is an ambiguous measure of the correlation of the variables of interest, and may substantially overstate it. We conclude with a detailed application of the proposed methods using the data employed in one of the two aforementioned bivariate Poisson studies
Publisher: Now Publishers Inc
ISBN: 160198054X
Category : Business & Economics
Languages : en
Pages : 120
Book Description
This study presents several extensions of the most familiar models for count data, the Poisson and negative binomial models. We develop an encompassing model for two well-known variants of the negative binomial model (the NB1 and NB2 forms). We then analyze some alternative approaches to the standard log gamma model for introducing heterogeneity into the loglinear conditional means for these models. The lognormal model provides a versatile alternative specification that is more flexible (and more natural) than the log gamma form, and provides a platform for several "two part" extensions, including zero inflation, hurdle, and sample selection models. (We briefly present some alternative approaches to modeling heterogeneity.) We also resolve some features in Hausman, Hall and Griliches (1984, Economic models for count data with an application to the patents-R & D relationship, Econometrica 52, 909-938) widely used panel data treatments for the Poisson and negative binomial models that appear to conflict with more familiar models of fixed and random effects. Finally, we consider a bivariate Poisson model that is also based on the lognormal heterogeneity model. Two recent applications have used this model. We suggest that the correlation estimated in their model frameworks is an ambiguous measure of the correlation of the variables of interest, and may substantially overstate it. We conclude with a detailed application of the proposed methods using the data employed in one of the two aforementioned bivariate Poisson studies
Taking Aim
Author: Robert Christopher York
Publisher:
ISBN:
Category : Inflation (Finance)
Languages : en
Pages : 280
Book Description
Publisher:
ISBN:
Category : Inflation (Finance)
Languages : en
Pages : 280
Book Description
Malaysia's Experiment with Zero Inflation and Price Control
Author: R. Thillainathan
Publisher:
ISBN:
Category : Inflation (Finance)
Languages : en
Pages : 34
Book Description
Publisher:
ISBN:
Category : Inflation (Finance)
Languages : en
Pages : 34
Book Description
Mixed Effects Models and Extensions in Ecology with R
Author: Alain Zuur
Publisher: Springer Science & Business Media
ISBN: 0387874585
Category : Science
Languages : en
Pages : 579
Book Description
This book discusses advanced statistical methods that can be used to analyse ecological data. Most environmental collected data are measured repeatedly over time, or space and this requires the use of GLMM or GAMM methods. The book starts by revising regression, additive modelling, GAM and GLM, and then discusses dealing with spatial or temporal dependencies and nested data.
Publisher: Springer Science & Business Media
ISBN: 0387874585
Category : Science
Languages : en
Pages : 579
Book Description
This book discusses advanced statistical methods that can be used to analyse ecological data. Most environmental collected data are measured repeatedly over time, or space and this requires the use of GLMM or GAMM methods. The book starts by revising regression, additive modelling, GAM and GLM, and then discusses dealing with spatial or temporal dependencies and nested data.