Bayesian analysis of cross-prefectural production function with time varying structure in Japan

Kyo, Koki; Noda, Hideo

doi:10.1063/1.2423312

Cited by 2 publications

(4 citation statements)

References 9 publications

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“…Then the estimates q't, k't and I't, for q'^, k't and I't can be obtained from Eqs. (9), (10) and (11), respectively. Applying these smoothed values and estimates to Eq.…”

Section: E{d) Andmentioning

confidence: 98%

“…However, we beheve that there is still scope for additional research in this field. As pointed out by Barro (1999) and Kyo and Noda (2006), one problem with growth accounting is the assumption that social marginal products can be measured by production factor prices. We beheve that this is not necessarily the case if the social marginal products coincide with the production factor prices.…”

Section: Introductionmentioning

confidence: 99%

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Bayesian analysis of the dynamic structure in China’s economic growth

Kyo¹,

Noda²

2008

AIP Conference Proceedings

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To analyze the dynamic structure in China's economic growth during the period 1952-1998, we introduce a model of the aggregate production function for the Chinese economy that considers total factor productivity (TFP) and output elasticities as time-varying parameters. Specifically, this paper is concerned with the relationship between the rate of economic growth in China and the trend in TFP. Here, we consider the time-varying parameters as random variables and introduce smoothness priors to construct a set of Bayesian linear models for parameter estimation. The results of the estimation are in agreement with the movements in China's social economy, thus illustrating the validity of the proposed methods.

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“…Then the estimates q't, k't and I't, for q'^, k't and I't can be obtained from Eqs. (9), (10) and (11), respectively. Applying these smoothed values and estimates to Eq.…”

Section: E{d) Andmentioning

confidence: 98%

Section: Introductionmentioning

confidence: 99%

Bayesian analysis of the dynamic structure in China’s economic growth

Kyo¹,

Noda²

2008

AIP Conference Proceedings

Self Cite

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“…The constrained conditions in (2) are called non-negative conditions for the structural parameters. To simplify the model, in [8] it was assumed that ) (…”

Section: ) (T L Imentioning

confidence: 99%

“…In [8], we constructed a model for the cross-prefectural production function (CPPF) in Japan, and introduced a set of procedures for parameter estimation using Bayesian modeling methods. Features of the analysis in our previous paper can be summarized as follows.…”

Section: Introductionmentioning

confidence: 99%

Analysis of Factor Elasticity and Total Factor Productivity in Prefectural Economies in Japan

Kyo¹,

Noda²

2013

IJIMT

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General forms of models for the cross-prefectural production function in Japan are constructed. In addition, a set of procedures for parameter estimation based on Bayesian linear modeling and the Bayesian model average approach are developed. We also show the results of parameter estimation for analyzing the structure and performance of prefectural economies in Japan. Finally, based on the estimated results, similarities in prefectural economies in Japan are analyzed using a multi-dimensional scaling method.

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Bayesian analysis of cross-prefectural production function with time varying structure in Japan

Cited by 2 publications

References 9 publications

Bayesian analysis of the dynamic structure in China’s economic growth

Bayesian analysis of the dynamic structure in China’s economic growth

Analysis of Factor Elasticity and Total Factor Productivity in Prefectural Economies in Japan

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