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Take a global tour of childhood that spans 50 countries and explore everyday questions such as 'Why does love matter?', 'How do children learn right from wrong'? and 'Why do adolescent relationships feel like a matter of life and death?' Combining psychology, anthropology, and evolution, you will learn about topics such as language, morality, empathy, creativity, learning and cooperation. Discover how children's skills develop, how they adapt to solve challenges, and what makes you, you. Divided into three chronological sections – early years, middle childhood, and adolescence – this book is enriched with a full set of pedagogical features, including key points to help you retain the main takeaway of each section, space for recap, a glossary of key terms, learning outcomes and chapter summaries. Embedded videos and animations throughout bring ideas to life and explain the methods researchers use to reveal the secrets of child development.
Take a global tour of childhood that spans 50 countries and explore everyday questions such as 'Why does love matter?', 'How do children learn right from wrong'? and 'Why do adolescent relationships feel like a matter of life and death?' Combining psychology, anthropology, and evolution, you will learn about topics such as language, morality, empathy, creativity, learning and cooperation. Discover how children's skills develop, how they adapt to solve challenges, and what makes you, you. Divided into three chronological sections – early years, middle childhood, and adolescence – this book is enriched with a full set of pedagogical features, including key points to help you retain the main takeaway of each section, space for recap, a glossary of key terms, learning outcomes and chapter summaries. Embedded videos and animations throughout bring ideas to life and explain the methods researchers use to reveal the secrets of child development.
Focusing on methods for data that are ordered in time, this textbook provides a comprehensive guide to analyzing time series data using modern techniques from data science. It is specifically tailored to economics and finance applications, aiming to provide students with rigorous training. Chapters cover Bayesian approaches, nonparametric smoothing methods, machine learning, and continuous time econometrics. Theoretical and empirical exercises, concise summaries, bolded key terms, and illustrative examples are included throughout to reinforce key concepts and bolster understanding. Ancillary materials include an instructor's manual with solutions and additional exercises, PowerPoint lecture slides, and datasets. With its clear and accessible style, this textbook is an essential tool for advanced undergraduate and graduate students in economics, finance, and statistics.
Focusing on methods for data that are ordered in time, this textbook provides a comprehensive guide to analyzing time series data using modern techniques from data science. It is specifically tailored to economics and finance applications, aiming to provide students with rigorous training. Chapters cover Bayesian approaches, nonparametric smoothing methods, machine learning, and continuous time econometrics. Theoretical and empirical exercises, concise summaries, bolded key terms, and illustrative examples are included throughout to reinforce key concepts and bolster understanding. Ancillary materials include an instructor's manual with solutions and additional exercises, PowerPoint lecture slides, and datasets. With its clear and accessible style, this textbook is an essential tool for advanced undergraduate and graduate students in economics, finance, and statistics.