DSpace Collection:
http://hdl.handle.net/2115/20141
2023-09-21T15:23:16ZPrioritizing Economic Development for Increasing Dietary Diversity
http://hdl.handle.net/2115/89364
Title: Prioritizing Economic Development for Increasing Dietary Diversity
Authors: Iziga, Jude Ikemefuna
Abstract: The article in chapter one explains how food production diversity mitigates dietary diversity against shocks-induced income variations. We construct survey-panel dataset, separate 2,336 households by their credit status, and estimate a switching regression model. Increasing vulnerability of Nigeria`s farm households to food security risks motivates this study. As Nigeria relies majorly on oil and gas rents for revenues, global shocks generate macroeconomic fluctuations. This complicates policymaker`s attempts to boost food production using agricultural transformative reforms. Households try to diversify crop production to sustain quality nutrition, but they are constrained by credit to do so. We find that credit-unconstrained households diversified food production, but credit-constrained households could not. However, diversifying crop production shows a slight mitigation to nutritional quality. Therefore, income growth remains highly important for increasing dietary diversity.
The second article, which is reported in chapter two, investigates similarities in effects of infrastructure on economic development of 130 countries over 25 years. An autoregressive distributed lag (ARDL) model is used to extract the extent of disparities in wages, income, and nutrition originating from skilled labor and infrastructure complementarity. We identify latent country groups based on unknown group structure in panel ARDL models. We find that infrastructure has group-heterogeneity of effects on economic development across countries. Most African countries fell into groups that do not reap infrastructure and skilled labor complimentary advantages for economic growth. However, infrastructure has narrow economic growth prospects in Africa because of limited industrialization. Education of labor might be more viable for Africa`s sustainable development.
The article in chapter three examines the effect of education of workers on economic growth of 102 countries over 15 years. I estimate the econometric model of the supply of and demand for educated services with macro production technologies. The results indicate a significant positive causality between educated services and economic performance. Investing in education shows optimum at three to six years of schooling where enterprise-needed skills are taught. Most developed countries maximize growth because they have workers with ideal education and skills needed by companies. This maximum growth generates employment for unemployed workers with the enterprise-required skills. Africa`s workers show inadequate education compared with labor in advanced nations. Poor education account for the low income in Africa and effort to suggest a remedial measure led to my fourth research project as discussed in chapter four.
The chapter provides a guide on education and allocation of labor to minimize unemployment and poverty. It utilizes panel data set generated from Nigeria’s general household survey (GHS) panel. A simultaneous equation model wherein equations of demand for and supply of educated labor endogenize investment in education is formulated. Slope heterogeneity of relationship between educated labor and income growth is considered. The results show that completing tertiary education is enough for educated labor to secure jobs and maximize wages through contributions to total output.
The analysis so far indicates that own saving and money transfers do not provide substantial consumption insurance against macroeconomic shocks. This information coupled with those in the previous summaries establish a conclusion that, “Economic development should be prioritized to ensure increasing dietary diversity of households.” This concluding empirical fact, which remains relevant to most African countries, corresponds my doctoral dissertation theme. The economic development’s importance for increasing dietary diversity is evaluated as an extended chapter to this dissertation?the chapter five.
The evaluation shows that food items and food groups consumed out of those available but unattainable by households is infinitesimal. This indicates a low economic development in Africa. Therefore, African countries should, “Prioritize economic development for increasing dietary diversity of their populace."2023-03-22T15:00:00ZIziga, Jude IkemefunaThe article in chapter one explains how food production diversity mitigates dietary diversity against shocks-induced income variations. We construct survey-panel dataset, separate 2,336 households by their credit status, and estimate a switching regression model. Increasing vulnerability of Nigeria`s farm households to food security risks motivates this study. As Nigeria relies majorly on oil and gas rents for revenues, global shocks generate macroeconomic fluctuations. This complicates policymaker`s attempts to boost food production using agricultural transformative reforms. Households try to diversify crop production to sustain quality nutrition, but they are constrained by credit to do so. We find that credit-unconstrained households diversified food production, but credit-constrained households could not. However, diversifying crop production shows a slight mitigation to nutritional quality. Therefore, income growth remains highly important for increasing dietary diversity.
The second article, which is reported in chapter two, investigates similarities in effects of infrastructure on economic development of 130 countries over 25 years. An autoregressive distributed lag (ARDL) model is used to extract the extent of disparities in wages, income, and nutrition originating from skilled labor and infrastructure complementarity. We identify latent country groups based on unknown group structure in panel ARDL models. We find that infrastructure has group-heterogeneity of effects on economic development across countries. Most African countries fell into groups that do not reap infrastructure and skilled labor complimentary advantages for economic growth. However, infrastructure has narrow economic growth prospects in Africa because of limited industrialization. Education of labor might be more viable for Africa`s sustainable development.
The article in chapter three examines the effect of education of workers on economic growth of 102 countries over 15 years. I estimate the econometric model of the supply of and demand for educated services with macro production technologies. The results indicate a significant positive causality between educated services and economic performance. Investing in education shows optimum at three to six years of schooling where enterprise-needed skills are taught. Most developed countries maximize growth because they have workers with ideal education and skills needed by companies. This maximum growth generates employment for unemployed workers with the enterprise-required skills. Africa`s workers show inadequate education compared with labor in advanced nations. Poor education account for the low income in Africa and effort to suggest a remedial measure led to my fourth research project as discussed in chapter four.
The chapter provides a guide on education and allocation of labor to minimize unemployment and poverty. It utilizes panel data set generated from Nigeria’s general household survey (GHS) panel. A simultaneous equation model wherein equations of demand for and supply of educated labor endogenize investment in education is formulated. Slope heterogeneity of relationship between educated labor and income growth is considered. The results show that completing tertiary education is enough for educated labor to secure jobs and maximize wages through contributions to total output.
The analysis so far indicates that own saving and money transfers do not provide substantial consumption insurance against macroeconomic shocks. This information coupled with those in the previous summaries establish a conclusion that, “Economic development should be prioritized to ensure increasing dietary diversity of households.” This concluding empirical fact, which remains relevant to most African countries, corresponds my doctoral dissertation theme. The economic development’s importance for increasing dietary diversity is evaluated as an extended chapter to this dissertation?the chapter five.
The evaluation shows that food items and food groups consumed out of those available but unattainable by households is infinitesimal. This indicates a low economic development in Africa. Therefore, African countries should, “Prioritize economic development for increasing dietary diversity of their populace."Prioritizing Economic Development for Increasing Dietary Diversity [an abstract of dissertation and a summary of dissertation review]
http://hdl.handle.net/2115/89362
Title: Prioritizing Economic Development for Increasing Dietary Diversity [an abstract of dissertation and a summary of dissertation review]
Authors: Iziga, Jude Ikemefuna2023-03-22T15:00:00ZIziga, Jude IkemefunaEssays on wage inequality and COVID-19 control in China [an abstract of entire text]
http://hdl.handle.net/2115/85791
Title: Essays on wage inequality and COVID-19 control in China [an abstract of entire text]
Authors: 李, 夢丹
Description: この博士論文全文の閲覧方法については、以下のサイトをご参照ください。2022-03-23T15:00:00Z李, 夢丹Essays on wage inequality and COVID-19 control in China [an abstract of dissertation and a summary of dissertation review]
http://hdl.handle.net/2115/85786
Title: Essays on wage inequality and COVID-19 control in China [an abstract of dissertation and a summary of dissertation review]
Authors: 李, 夢丹2022-03-23T15:00:00Z李, 夢丹Bankruptcy Prediction Model Using Machine Learning
http://hdl.handle.net/2115/85651
Title: Bankruptcy Prediction Model Using Machine Learning
Authors: RASOLOMANANA, ONJANIAINA MIANIN'HARIZO2022-03-23T15:00:00ZRASOLOMANANA, ONJANIAINA MIANIN'HARIZOBankruptcy Prediction Model Using Machine Learning [an abstract of dissertation and a summary of dissertation review]
http://hdl.handle.net/2115/85650
Title: Bankruptcy Prediction Model Using Machine Learning [an abstract of dissertation and a summary of dissertation review]
Authors: RASOLOMANANA, ONJANIAINA MIANIN'HARIZO2022-03-23T15:00:00ZRASOLOMANANA, ONJANIAINA MIANIN'HARIZOFunctionals of a Wishart matrix and a normal vector and its application to linear discriminant analysis
http://hdl.handle.net/2115/85619
Title: Functionals of a Wishart matrix and a normal vector and its application to linear discriminant analysis
Authors: 米永, 航志朗
Abstract: In this dissertation, we investigate some functionals of a Wishart matrix and a normal
vector and discuss the application to linear discriminant analysis in a Bayesian framework.
In section 2, we consider the distribution of the product of a Wishart matrix and a
normal vector which are independently distributed. We derive the stochastic representation
of the product which is used to derive the density function and higher order moments of
the product. Based on the higher order moments of the product, we further present an
Edgeworth type expansion for the product. In addition, it turns out that the obtained
stochastic representation, density function and moments of the product remain valid for
the product of a singular Wishart matrix and a normal vector.
In section 3, we consider the distribution of the product of a Wishart matrix and
a conditional normal vector given a Wishart matrix. This type of the product plays
an important role in Bayesian analysis of the optimal portfolio. We derive the novel
stochastic representation for the product and observe from the stochastic representation
that the distribution of the product is closed under conditioning, marginalization, and affine
transformations. Moreover, the formulae for the first four moments, density function and
an Edgeworth type expansion are explicitly presented.
In section 4, we consider discriminant analysis in the case of two multivariate normal
populations with different means and common covariance matrices. We derive the
posterior predictive density function and the first four moments of the population linear
discriminant function under some prior distributions. Based on the derived posterior predictive
density function, we consider the Bayesian estimation for the misclassification rate
associated with a population linear discriminant function, referred to as the optimal error
rate. We obtain an explicit expression of the Bayes estimator of the optimal error rate.
Although the Bayes estimator of the optimal error rate is expressed by the infinite sums and
special functions in general, it is simply expressed under some conditions. In addition, an
Edgeworth type expansion for the Bayes estimator is suggested based on the approximate
posterior predictive distribution of the population linear discriminant function.2022-03-23T15:00:00Z米永, 航志朗In this dissertation, we investigate some functionals of a Wishart matrix and a normal
vector and discuss the application to linear discriminant analysis in a Bayesian framework.
In section 2, we consider the distribution of the product of a Wishart matrix and a
normal vector which are independently distributed. We derive the stochastic representation
of the product which is used to derive the density function and higher order moments of
the product. Based on the higher order moments of the product, we further present an
Edgeworth type expansion for the product. In addition, it turns out that the obtained
stochastic representation, density function and moments of the product remain valid for
the product of a singular Wishart matrix and a normal vector.
In section 3, we consider the distribution of the product of a Wishart matrix and
a conditional normal vector given a Wishart matrix. This type of the product plays
an important role in Bayesian analysis of the optimal portfolio. We derive the novel
stochastic representation for the product and observe from the stochastic representation
that the distribution of the product is closed under conditioning, marginalization, and affine
transformations. Moreover, the formulae for the first four moments, density function and
an Edgeworth type expansion are explicitly presented.
In section 4, we consider discriminant analysis in the case of two multivariate normal
populations with different means and common covariance matrices. We derive the
posterior predictive density function and the first four moments of the population linear
discriminant function under some prior distributions. Based on the derived posterior predictive
density function, we consider the Bayesian estimation for the misclassification rate
associated with a population linear discriminant function, referred to as the optimal error
rate. We obtain an explicit expression of the Bayes estimator of the optimal error rate.
Although the Bayes estimator of the optimal error rate is expressed by the infinite sums and
special functions in general, it is simply expressed under some conditions. In addition, an
Edgeworth type expansion for the Bayes estimator is suggested based on the approximate
posterior predictive distribution of the population linear discriminant function.Functionals of a Wishart matrix and a normal vector and its application to linear discriminant analysis [an abstract of dissertation and a summary of dissertation review]
http://hdl.handle.net/2115/85618
Title: Functionals of a Wishart matrix and a normal vector and its application to linear discriminant analysis [an abstract of dissertation and a summary of dissertation review]
Authors: 米永, 航志朗2022-03-23T15:00:00Z米永, 航志朗価値形態論および貨幣生成論理への再考 : 宇野経済学における「形態的な同質性」の論理に基づいて
http://hdl.handle.net/2115/82640
Title: 価値形態論および貨幣生成論理への再考 : 宇野経済学における「形態的な同質性」の論理に基づいて
Authors: You, Xinwei2021-06-29T15:00:00ZYou, Xinwei価値形態論および貨幣生成論理への再考 : 宇野経済学における「形態的な同質性」の論理に基づいて [論文内容及び審査の要旨]
http://hdl.handle.net/2115/82638
Title: 価値形態論および貨幣生成論理への再考 : 宇野経済学における「形態的な同質性」の論理に基づいて [論文内容及び審査の要旨]
Authors: You, Xinwei2021-06-29T15:00:00ZYou, Xinwei