Statistics for Economists: Probability, Regression, and Data Interpretation

Name: Statistics for Economists: Probability, Regression, and Data Interpretation
Brand: Independently Published
SKU: 9798196423963
Price: 834.0 INR
Availability: InStock

by Robert Geissler

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ISBN13: 9798196423963
Binding: Paperback
Subject: N/A
Publisher: Independently Published
Publisher Imprint: Independently Published
Publication Date: May 11, 2026
Pages: 104
Original Price: GBP 7.33
Language: English
Edition: N/A
Item Weight: 150 grams
BISAC Subject(s): Economics / General

About The Book

Every economic argument lives or dies on the data behind it.

Whether you're analyzing wage inequality, forecasting GDP, evaluating a policy intervention, or building an investment case, statistical fluency is the skill that separates rigorous analysis from informed guessing.

Statistics for Economists delivers a complete, application-driven guide to the quantitative methods that drive modern economic research. From probability theory and descriptive statistics to OLS regression, instrumental variables, and time series forecasting, each technique is explained clearly, connected to real economic questions, and grounded in the logic of evidence-based reasoning.

Inside you'll find:

Probability, distributions, and the Central Limit Theorem - explained the way economists actually use them
Estimation theory, confidence intervals, and hypothesis testing - from first principles to applied practice
Simple and multiple regression, diagnostic methods, and robust standard errors
Causal inference tools: difference-in-differences, instrumental variables, and regression discontinuity
Limited dependent variable models - logit, probit, Tobit, and ordered regression
Time series analysis: stationarity, ARIMA, cointegration, and error correction
Applied case studies including demand elasticity estimation, Mincer wage equations, and policy evaluation
A comprehensive glossary of 70+ statistical and econometric terms

This is not a math textbook. It is a practitioner's guide - written for economics students, policy analysts, financial researchers, and anyone who needs to read, interpret, and produce empirical economic work with confidence.

Statistical thinking is not optional for economists. This book makes it accessible.

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