Statistics for Economists

Statistics for Economists by Linus Yamane is a clear, practical guide that transforms dense statistical theory into tools economists actually use. Ideal for undergraduates, graduate students, policy analysts, and business professionals, this book bridges mathematical rigor and real-world application in an accessible voice.

Begin with intuitive explanations of probability, sampling, and estimation, then move smoothly into hypothesis testing, confidence intervals, and linear regression. Each chapter emphasizes how statistical methods inform economic modeling, forecasting, and decision-making—helpful for coursework, research, or applied work in finance, public policy, and market analysis.

What sets this text apart is its focus on relevance: examples drawn from labor markets, consumer behavior, macroeconomic indicators, and emerging market data make abstract concepts tangible. Clear step-by-step derivations are coupled with interpretation of results so readers learn not just how to compute statistics, but how to read them in context and communicate findings to stakeholders.

Whether you’re studying in the United States, the United Kingdom, Canada, Australia, Europe, or working with data from emerging economies, this edition supports a global perspective on econometric practice. Concise summaries and logical progression make it an excellent primary text for university courses or a dependable reference on your professional bookshelf.

Practical, authoritative, and readable, Statistics for Economists by Linus Yamane equips you with the statistical foundation to analyze data confidently and make evidence-based economic decisions. Add it to your collection and sharpen your analytical edge today.

Note: eBooks do not include supplementary materials such as CDs, access codes, etc.