The Experts below are selected from a list of 32240946 Experts worldwide ranked by ideXlab platform
Kerk L Phillips - One of the best experts on this subject based on the ideXlab platform.
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integrating microsimulation models of tax policy into a dge macroeconomic model
Public Finance Review, 2019Co-Authors: Jason Matthew Debacker, Richard Evans, Kerk L PhillipsAbstract:This article proposes a method for integrating individual effective tax rates and marginal tax rates computed from a microsimulation (partial equilibrium) model of tax policy with a dynamic general equilibrium model of tax policy that can provide macroeconomic analysis or dynamic scores of tax reforms. Our approach captures the rich heterogeneity, realistic demographics, and tax-code detail of the microsimulation model and allows this detail to inform a general equilibrium model with a relatively high degree of heterogeneity. In addition, we propose a functional form in which tax rates depend jointly on the levels of both capital income and labor income.
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integrating microsimulation models of tax policy into a dge macroeconomic model
Public Finance Review, 2019Co-Authors: Jason Matthew Debacker, Richard W Evans, Kerk L PhillipsAbstract:This article proposes a method for integrating individual effective tax rates and marginal tax rates computed from a microsimulation (partial equilibrium) model of tax policy with a dynamic general...
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integrating microsimulation models of tax policy into a dge macroeconomic model
Social Science Research Network, 2017Co-Authors: Jason Matthew Debacker, Kerk L Phillips, Richard W EvansAbstract:This paper proposes a method for integrating individual effective tax rates and marginal tax rates computed from a microsimulation (partial equilibrium) model of tax policy with a dynamic general equilibrium (DGE) model of tax policy that can provide macroeconomic analysis or dynamic scores of tax reforms. Our approach captures the rich heterogeneity, realistic demographics, and tax-code detail of the microsimulation model and allows this detail to inform a general equilibrium model with a relatively high degree of heterogeneity. In addition, we propose a functional form in which tax rates depend jointly on the levels of both capital income and labor income.
Jason Matthew Debacker - One of the best experts on this subject based on the ideXlab platform.
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integrating microsimulation models of tax policy into a dge macroeconomic model
Public Finance Review, 2019Co-Authors: Jason Matthew Debacker, Richard Evans, Kerk L PhillipsAbstract:This article proposes a method for integrating individual effective tax rates and marginal tax rates computed from a microsimulation (partial equilibrium) model of tax policy with a dynamic general equilibrium model of tax policy that can provide macroeconomic analysis or dynamic scores of tax reforms. Our approach captures the rich heterogeneity, realistic demographics, and tax-code detail of the microsimulation model and allows this detail to inform a general equilibrium model with a relatively high degree of heterogeneity. In addition, we propose a functional form in which tax rates depend jointly on the levels of both capital income and labor income.
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integrating microsimulation models of tax policy into a dge macroeconomic model
Public Finance Review, 2019Co-Authors: Jason Matthew Debacker, Richard W Evans, Kerk L PhillipsAbstract:This article proposes a method for integrating individual effective tax rates and marginal tax rates computed from a microsimulation (partial equilibrium) model of tax policy with a dynamic general...
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integrating microsimulation models of tax policy into a dge macroeconomic model
Social Science Research Network, 2017Co-Authors: Jason Matthew Debacker, Kerk L Phillips, Richard W EvansAbstract:This paper proposes a method for integrating individual effective tax rates and marginal tax rates computed from a microsimulation (partial equilibrium) model of tax policy with a dynamic general equilibrium (DGE) model of tax policy that can provide macroeconomic analysis or dynamic scores of tax reforms. Our approach captures the rich heterogeneity, realistic demographics, and tax-code detail of the microsimulation model and allows this detail to inform a general equilibrium model with a relatively high degree of heterogeneity. In addition, we propose a functional form in which tax rates depend jointly on the levels of both capital income and labor income.
Linda Zhao - One of the best experts on this subject based on the ideXlab platform.
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models as approximations ii a model free theory of parametric regression
Statistical Science, 2019Co-Authors: Andreas Buja, Lawrence D Brown, Arun Kumar Kuchibhotla, Richard A Berk, Edward I George, Linda ZhaoAbstract:We develop a model-free theory of general types of parametric regression for i.i.d. observations. The theory replaces the parameters of parametric models with statistical functionals, to be called “regression functionals,” defined on large nonparametric classes of joint x-y distributions, without assuming a correct model. Parametric models are reduced to heuristics to suggest plausible objective functions. An example of a regression functional is the vector of slopes of linear equations fitted by OLS to largely arbitrary x-y distributions, without assuming a linear model (see Part I). More generally, regression functionals can be defined by minimizing objective functions, solving estimating equations, or with ad hoc constructions. In this framework, it is possible to achieve the following: (1) define a notion of “wellspecification” for regression functionals that replaces the notion of correct specification of models, (2) propose a well-specification diagnostic for regression functionals based on reweighting distributions and data, (3) decompose sampling variability of regression functionals into two sources, one due to the conditional response distribution and another due to the regressor distribution interacting with misspecification, both of order N −1/2, (4) exhibit plug-in/sandwich estimators of standard error as limit cases of x-y bootstrap estimators, and (5) provide theoretical heuristics to indicate that x-y bootstrap standard errors may generally be preferred over sandwich estimators.
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models as approximations ii a model free theory of parametric regression
arXiv: Statistics Theory, 2016Co-Authors: Andreas Buja, Lawrence D Brown, Arun Kumar Kuchibhotla, Richard A Berk, Edward I George, Linda ZhaoAbstract:We develop a model-free theory of general types of parametric regression for iid observations. The theory replaces the parameters of parametric models with statistical functionals, to be called "regression functionals'', defined on large non-parametric classes of joint $\xy$ distributions, without assuming a correct model. Parametric models are reduced to heuristics to suggest plausible objective functions. An example of a regression functional is the vector of slopes of linear equations fitted by OLS to largely arbitrary $\xy$ distributions, without assuming a linear model (see Part~I). More generally, regression functionals can be defined by minimizing objective functions or solving estimating equations at joint $\xy$ distributions. In this framework it is possible to achieve the following: (1)~define a notion of well-specification for regression functionals that replaces the notion of correct specification of models, (2)~propose a well-specification diagnostic for regression functionals based on reweighting distributions and data, (3)~decompose sampling variability of regression functionals into two sources, one due to the conditional response distribution and another due to the regressor distribution interacting with misspecification, both of order $N^{-1/2}$, (4)~exhibit plug-in/sandwich estimators of standard error as limit cases of $\xy$ bootstrap estimators, and (5)~provide theoretical heuristics to indicate that $\xy$ bootstrap standard errors may generally be more stable than sandwich estimators.
Richard W Evans - One of the best experts on this subject based on the ideXlab platform.
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integrating microsimulation models of tax policy into a dge macroeconomic model
Public Finance Review, 2019Co-Authors: Jason Matthew Debacker, Richard W Evans, Kerk L PhillipsAbstract:This article proposes a method for integrating individual effective tax rates and marginal tax rates computed from a microsimulation (partial equilibrium) model of tax policy with a dynamic general...
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integrating microsimulation models of tax policy into a dge macroeconomic model
Social Science Research Network, 2017Co-Authors: Jason Matthew Debacker, Kerk L Phillips, Richard W EvansAbstract:This paper proposes a method for integrating individual effective tax rates and marginal tax rates computed from a microsimulation (partial equilibrium) model of tax policy with a dynamic general equilibrium (DGE) model of tax policy that can provide macroeconomic analysis or dynamic scores of tax reforms. Our approach captures the rich heterogeneity, realistic demographics, and tax-code detail of the microsimulation model and allows this detail to inform a general equilibrium model with a relatively high degree of heterogeneity. In addition, we propose a functional form in which tax rates depend jointly on the levels of both capital income and labor income.
Toshiyuki Maeda - One of the best experts on this subject based on the ideXlab platform.
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A general model checking framework for various memory consistency models
International Journal on Software Tools for Technology Transfer, 2017Co-Authors: Toshiyuki MaedaAbstract:Relaxed memory consistency models are common and essential when multiple processes share a single global address space, such as when using multicore CPUs, distributed shared-memory programming languages, and so forth. Programming within these models is difficult and error prone, because of non-intuitive behaviors that could not occur in a strict consistency model. In addition, because the memory consistency models vary from language to language, and CPU to CPU, a program that may work correctly on one system may not work on another. To address the problem, this paper describes a model checking framework in which users are able to check their programs under various memory consistency models. More specifically, our framework provides a base model that exhibits very relaxed behaviors, and users are able to define various consistency models by adding constraints to the base model. This paper also describes McSPIN, a prototype implementation of a model checker based on the proposed framework. McSPIN can take a memory consistency model as an input, as well as a program and a property to be checked. We have specified the necessary constraints for three practical existing memory consistency models (Unified Parallel C, Coarray Fortran, and Itanium). McSPIN verified some example programs correctly, and confirmed the expected differences among the three models.
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A General Model Checking Framework for Various Memory Consistency Models
2014 IEEE International Parallel & Distributed Processing Symposium Workshops, 2014Co-Authors: Toshiyuki MaedaAbstract:Relaxed memory consistency models are common and essential when multiple processes share a single global address space, such as when using multicore CPUs, partitioned global address space languages, and so forth. Programming within these models is difficult and error prone, because of non-intuitive behaviors that could not occur in a sequential memory consistency model. In addition, because the memory consistency models vary from language to language, and CPU to CPU, a program which may work correctly on one system may not work on another. To address the problem, this paper describes a model checking framework in which users are able to check their programs under various memory consistency models. More specifically, our framework provides a base model that exhibits very relaxed behaviors, and users are able to define various consistency models by adding constraints to the base model. This paper also describes a prototype implementation of a model checker based on the proposed framework. We have specified the necessary constraints for three practical existing memory consistency models (UPC, Coarray Fortran, and Itanium). Our model checker verified some example programs correctly, and confirmed the expected differences among the three models.
