Microeconometrics Using Stata 2022 Pdf
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Innovations in Circular Economy and Renewable Energy in Africa
In many African countries, access to electricity and modern energy fuels remains a significant concern. Over 570 million people in Sub-Saharan Africa still lack electricity, and only 18% have access to modern cooking fuels. The region faces immense challenges, including massive debts, lack of maintenance, and system failures, underscoring the urgent need for investment in the energy sector's transition. Africa's overreliance on fossil fuels and the growing demand for energy, driven by economic expansion and population growth, could lead to sharp increases in greenhouse gas emissions. Meanwhile, urbanization, economic activities, and rising living standards are increasing waste production, making waste management a pressing issue. The absence of adequate waste treatment technologies, financing, and regulatory frameworks exacerbates this challenge. Biomass remains a predominant energy source in Sub-Saharan Africa, often used in its raw state, leading to health hazards from incomplete combustion. However, the continent's abundant agricultural residues and other energetic wastes offer a significant opportunity. These can be transformed into various energy carriers, helping to meet or supplement Africa's energy and fuel needs. The current situation presents a unique opportunity for Africa to shift from a fossil-based economy to a sustainable green economy. Leveraging technology, knowledge, and skills can support this rapid transition and drive economic growth. Innovations in Circular Economy and Renewable Energy highlights current advancements in waste management, biomass utilization for energy, and innovations in green hydrogen production in Africa. This book showcases predominantly African research and insights first presented at the "First International Conference on Circular Economy, Renewable Energy, and Green Hydrogen" in Kumasi, Ghana, in September 2023. Dive into this essential resource to explore transformative waste-to-energy technologies, the hybridization and flexibilization of renewable energy systems, and the path towards a sustainable future for Africa.
The Effect
The Effect: An Introduction to Research Design and Causality is about research design, specifically concerning research that uses observational data to make a causal inference. It is separated into two halves, each with different approaches to that subject. The first half goes through the concepts of causality, with very little in the way of estimation. It introduces the concept of identification thoroughly and clearly and discusses it as a process of trying to isolate variation that has a causal interpretation. Subjects include heavy emphasis on data-generating processes and causal diagrams. Concepts are demonstrated with a heavy emphasis on graphical intuition and the question of what we do to data. When we “add a control variable” what does that actually do? Key Features: • Extensive code examples in R, Stata, and Python • Chapters on overlooked topics in econometrics classes: heterogeneous treatment effects, simulation and power analysis, new cutting-edge methods, and uncomfortable ignored assumptions • An easy-to-read conversational tone • Up-to-date coverage of methods with fast-moving literatures like difference-in-differences
Econometric Analysis of Cross Section and Panel Data, second edition
The second edition of a comprehensive state-of-the-art graduate level text on microeconometric methods, substantially revised and updated. The second edition of this acclaimed graduate text provides a unified treatment of two methods used in contemporary econometric research, cross section and data panel methods. By focusing on assumptions that can be given behavioral content, the book maintains an appropriate level of rigor while emphasizing intuitive thinking. The analysis covers both linear and nonlinear models, including models with dynamics and/or individual heterogeneity. In addition to general estimation frameworks (particular methods of moments and maximum likelihood), specific linear and nonlinear methods are covered in detail, including probit and logit models and their multivariate, Tobit models, models for count data, censored and missing data schemes, causal (or treatment) effects, and duration analysis. Econometric Analysis of Cross Section and Panel Data was the first graduate econometrics text to focus on microeconomic data structures, allowing assumptions to be separated into population and sampling assumptions. This second edition has been substantially updated and revised. Improvements include a broader class of models for missing data problems; more detailed treatment of cluster problems, an important topic for empirical researchers; expanded discussion of "generalized instrumental variables" (GIV) estimation; new coverage (based on the author's own recent research) of inverse probability weighting; a more complete framework for estimating treatment effects with panel data, and a firmly established link between econometric approaches to nonlinear panel data and the "generalized estimating equation" literature popular in statistics and other fields. New attention is given to explaining when particular econometric methods can be applied; the goal is not only to tell readers what does work, but why certain "obvious" procedures do not. The numerous included exercises, both theoretical and computer-based, allow the reader to extend methods covered in the text and discover new insights.