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Abstract: Economics and statistics - a review of economic concepts - a review of statistical concepts - simple regression and the measurement of economic relationship - index numbers and time series - simple regression analysis: alternative models - multiple regression analysis - the analysis of variance - - the logical or structural analysis of economic time series - the construction of large-scale economic models: a proving ground for economic statistics - identification, casual ordering, and ...; [Read more...] Economics and statistics - a review of economic concepts - a review of statistical concepts - simple regression and the measurement of economic relationship - index numbers and time series - simple regression analysis: alternative models - multiple regression analysis - the analysis of variance - - the logical or structural analysis of economic time series - the construction of large-scale economic models: a proving ground for economic statistics - identification, casual ordering, and estimation in economic models - alternative methods of estimation in economic models.

Abstract: Formulating business problems - one-decision variable optimization model - two-decision variable optimization models - linear systems - multivariate optimization models.

Abstract: What is consumption economics ? - Microeconomics of consumption - Macroeconomics of consumption.

Abstract: Principles of Econometrics, Fifth Edition, is an introductory book for undergraduate students in economics and finance, as well as first-year graduate students in a variety of fields that include economics, finance, accounting, marketing, public policy, sociology, law, and political science. Students will gain a working knowledge of basic econometrics so they can apply modeling, estimation, inference, and forecasting techniques when working with real-world economic problems. Readers wi ...; [Read more...] Principles of Econometrics, Fifth Edition, is an introductory book for undergraduate students in economics and finance, as well as first-year graduate students in a variety of fields that include economics, finance, accounting, marketing, public policy, sociology, law, and political science. Students will gain a working knowledge of basic econometrics so they can apply modeling, estimation, inference, and forecasting techniques when working with real-world economic problems. Readers will also gain an understanding of econometrics that allows them to critically evaluate the results of others’ economic research and modeling, and that will serve as a foundation for further study of the field.

Abstract: Introduction to Econometrics has been written as a core textbook for a first course in econometrics taken by undergraduate or graduate students. It is intended for students taking a single course in econometrics with a view towards doing practical data work. It will also be highly useful for students interested in understanding the basics of econometric theory with a view towards future study of advanced econometrics. To achieve this end, it has a practical emphasis, showing how a wid ...; [Read more...] Introduction to Econometrics has been written as a core textbook for a first course in econometrics taken by undergraduate or graduate students. It is intended for students taking a single course in econometrics with a view towards doing practical data work. It will also be highly useful for students interested in understanding the basics of econometric theory with a view towards future study of advanced econometrics. To achieve this end, it has a practical emphasis, showing how a wide variety of models can be used with the types of data sets commonly used by economists. However, it also has enough discussion of the underlying econometric theory to give the student a knowledge of the statistical tools used in advanced econometrics courses.

Abstract: Researchers in many fields are increasingly finding the Bayesian approach to statistics to be an attractive one. This book introduces the reader to the use of Bayesian methods in the field of econometrics at the advanced undergraduate or graduate level. The book is self-contained and does not require that readers have previous training in econometrics. The focus is on models used by applied economists and the computational techniques necessary to implement Bayesian methods when doing e ...; [Read more...] Researchers in many fields are increasingly finding the Bayesian approach to statistics to be an attractive one. This book introduces the reader to the use of Bayesian methods in the field of econometrics at the advanced undergraduate or graduate level. The book is self-contained and does not require that readers have previous training in econometrics. The focus is on models used by applied economists and the computational techniques necessary to implement Bayesian methods when doing empirical work. Topics covered in the book include the regression model (and variants applicable for use with panel data), time series models, models for qualitative or censored data, nonparametric methods and Bayesian model averaging. The book includes numerous empirical examples and the website associated with it contains data sets and computer programs to help the student develop the computational skills of modern Bayesian econometrics.

Abstract: Machine Learning for Time Series Forecasting with Python is an incisive and straightforward examination of one of the most crucial elements of decision-making in finance, marketing, education, and healthcare: time series modeling. Despite the centrality of time series forecasting, few business analysts are familiar with the power or utility of applying machine learning to time series modeling. Author Francesca Lazzeri, a distinguished machine learning scientist and economist, corrects ...; [Read more...] Machine Learning for Time Series Forecasting with Python is an incisive and straightforward examination of one of the most crucial elements of decision-making in finance, marketing, education, and healthcare: time series modeling. Despite the centrality of time series forecasting, few business analysts are familiar with the power or utility of applying machine learning to time series modeling. Author Francesca Lazzeri, a distinguished machine learning scientist and economist, corrects that deficiency by providing readers with comprehensive and approachable explanation and treatment of the application of machine learning to time series forecasting.

Abstract: The world's inequalites - Per capita output as an index of development - economic backwardness as a qasi-stable equilibrium sustem - Characteristics of backward economies - Characteristics of backwardness some dynamic aspects - The theory of underemployment in densely populated backward areas - Specialization, income level, and occupational structure - The critical minimum effort thesis - Growth incentives agents and activities and the minimum effort thesis - Population growth theory a ...; [Read more...] The world's inequalites - Per capita output as an index of development - economic backwardness as a qasi-stable equilibrium sustem - Characteristics of backward economies - Characteristics of backwardness some dynamic aspects - The theory of underemployment in densely populated backward areas - Specialization, income level, and occupational structure - The critical minimum effort thesis - Growth incentives agents and activities and the minimum effort thesis - Population growth theory and economic development - Some notes on capital output ratios - A summary view - Basic relationships a diagrammatic summary - population growth investment rates and related magnitudes some illustrative projections and calculations - Economic development throry and investment policies.

Abstract: Bridging classical models and modern topics, the Fifth Edition of Time Series Analysis: Forecasting and Control maintains a balanced presentation of the tools for modeling and analyzing time series. Also describing the latest developments that have occurred in the field over the past decade through applications from areas such as business, finance, and engineering, the Fifth Edition continues to serve as one of the most influential and prominent works on the subject.