Econometrics and economic statistics
This category offers a comprehensive selection of titles focused on econometrics and economic statistics, essential for students, researchers, and professionals in economics and finance. Explore works that delve into quantitative analysis, statistical methods, and their applications in economic theory, providing valuable insights into data-driven decision-making and economic forecasting.
Naked Statistics: Stripping the Dread from the Data
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Causal Inference: The Mixtape: The Mixtape
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Mastering Metrics: The Path from Cause to Effect
Jörn-Steffen Pischke, Joshua D. Angrist
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Decision Technologies for Computational Finance: Proceedings of the fifth International Conference Computational Finance
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Microeconometrics: Methods and Applications
Pravin K. Trivedi, A. Colin Cameron
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Econometric Analysis of Cross Section and Panel Data
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Mostly Harmless Econometrics: An Empiricist's Companion
Jörn-Steffen Pischke, Joshua D. Angrist
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Theory of Financial Risk and Derivative Pricing
Marc Potters, Jean-Philippe Bouchaud
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The Debt-Deflation Theory of Great Depressions
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Introduction to Time Series and Forecasting
Richard A. Davis, Peter J. Brockwell
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A First Course in Quantitative Finance
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Statistical Analysis with Excel For Dummies
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Statistics for Business and Economics, Global Edition
Paul Newbold, Betty Thorne, William L. Carlson
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Quantitative Risk and Portfolio Management: Theory and Practice
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Advanced Issues in Partial Least Squares Structural Equation Modeling
Marko Sarstedt, Joe Hair, Christian M. Ringle
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Fooled by Randomness: The Hidden Role of Chance in Life and in the Markets
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Analyzing Data with Power BI and Power Pivot for Excel
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Microeconomics, Global Edition
David Laibson, Daron Acemoglu, John A. List
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Think Stats: Exploratory Data Analysis
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Spatial Econometrics
Harry Kelejian, Gianfranco Piras
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Data Management Using Stata: A Practical Handbook
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Game Theory for Applied Econometricians: Data Analytics with R
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Time Series: Theory and Methods
Richard A. Davis, Peter J. Brockwell
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Identification in Dynamic Shock-Error Models
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Modelling Seasonality Advance Texts in Econometrics
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Statistical Foundations of Econometric Modelling
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Limited-Dependent and Qualitative Variables in Econometrics
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The Theory of General Economic Equilibrium: A Differentiable Approach
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Category „Econometrics and economic statistics“
Econometrics and economic statistics form a crucial intersection of economics, mathematics, and data analysis that provides tools for understanding economic relationships and making informed decisions. This category is designed for students, researchers, and professionals who seek to gain a deeper insight into the quantitative aspects of economics. With a rich history dating back to the early 20th century, econometrics has evolved into a sophisticated discipline that combines theory and empirical analysis, making it an essential component of modern economic research.
Readers can explore a wide array of topics within this category, including statistical methods used to analyze economic data, models for forecasting economic trends, and techniques for evaluating policy impacts. The benefits of mastering econometrics are plentiful: it equips individuals with the skills to interpret complex data, supports rigorous economic studies, and informs evidence-based policy-making. This makes the category particularly appealing to those who are passionate about applying statistical methods to real-world economic challenges.
Moreover, the category features works from a variety of esteemed authors and publishers who are leading voices in the field. Their contributions range from foundational texts that lay the groundwork for understanding econometric principles to advanced studies that tackle specific economic phenomena. Each book provides valuable insights, allowing readers to deepen their knowledge and enhance their analytical capabilities. Engaging with these texts not only fosters a greater appreciation of economics but also empowers individuals to utilize statistical tools effectively in their pursuits.