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The book's comprehensive coverage on the application of econometric
methods to empirical analysis of economic issues is impressive. It
uncovers the missing link between textbooks on economic theory and
econometrics and highlights the powerful connection between
economic theory and empirical analysis perfectly through examples
on rigorous experimental design. The use of data sets for
estimation derived with the Monte Carlo method helps facilitate the
understanding of the role of hypothesis testing applied to economic
models. Topics covered in the book are: consumer behavior, producer
behavior, market equilibrium, macroeconomic models,
qualitative-response models, panel data analysis and time-series
analysis. Key econometric models are introduced, specified,
estimated and evaluated. The treatment on methods of estimation in
econometrics and the discipline of hypothesis testing makes it a
must-have for graduate students of economics and econometrics and
aids their understanding on how to estimate economic models and
evaluate the results in terms of policy implications.
There are many problems regarding poverty, inequality and growth in
developing countries in Asia and Africa. Policy makers at the
national level and at international institutions such as the United
Nations, World Bank, International Monetary Fund and others have
implemented various policies in order to decrease poverty and
inequality. This book provides empirical observations on Asian
countries and Africa. Each chapter provides theoretical and
empirical analysis on regional case studies with an emphasis on
policy implications. The book will be of use to many who wish to
assess and improve policies in developing countries and mitigate
poverty and inequality, and stimulate growth, by drawing on
relevant empirical research and economic theories. Clearly, there
have been numerous policy failures and the book aims to provide a
basis for improving policies and outcomes based on relevant
empirical observations.
The book's comprehensive coverage on the application of econometric
methods to empirical analysis of economic issues is impressive. It
uncovers the missing link between textbooks on economic theory and
econometrics and highlights the powerful connection between
economic theory and empirical analysis perfectly through examples
on rigorous experimental design. The use of data sets for
estimation derived with the Monte Carlo method helps facilitate the
understanding of the role of hypothesis testing applied to economic
models. Topics covered in the book are: consumer behavior, producer
behavior, market equilibrium, macroeconomic models,
qualitative-response models, panel data analysis and time-series
analysis. Key econometric models are introduced, specified,
estimated and evaluated. The treatment on methods of estimation in
econometrics and the discipline of hypothesis testing makes it a
must-have for graduate students of economics and econometrics and
aids their understanding on how to estimate economic models and
evaluate the results in terms of policy implications.
There are many problems regarding poverty, inequality and growth in
developing countries in Asia and Africa. Policy makers at the
national level and at international institutions such as the United
Nations, World Bank, International Monetary Fund and others have
implemented various policies in order to decrease poverty and
inequality. This book provides empirical observations on Asian
countries and Africa. Each chapter provides theoretical and
empirical analysis on regional case studies with an emphasis on
policy implications. The book will be of use to many who wish to
assess and improve policies in developing countries and mitigate
poverty and inequality, and stimulate growth, by drawing on
relevant empirical research and economic theories. Clearly, there
have been numerous policy failures and the book aims to provide a
basis for improving policies and outcomes based on relevant
empirical observations.
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