£113.96

Springer Advances in Cross-Section Data Methods in Economics

Name: Springer Advances in Cross-Section Data Methods in Economics
Brand: Springer
Price: 113.96 GBP
Availability: InStock

Econometrics

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Description

Explore new methodologies and real-world applications in the field of applied economics with this comprehensive proceedings volume. This book features select contributions from the 2019 International Conference on Applied Economics (ICOAE 2019) held in Milan, Italy. It is designed for researchers and students looking for advanced cross-section data estimation methodology and its practical uses. The text covers a wide range of economic disciplines to provide a broad perspective on modern research. Readers can find detailed insights into applied macroeconomics, applied microeconomics, and applied financial economics. The volume also addresses specialized fields including applied international economics, applied agricultural economics, applied marketing, and applied managerial economics. As part of the Springer Proceedings in Business and Economics series, this work serves as a valuable resource for understanding the latest developments in econometric research and data analysis.

Key Features

Covers advanced cross-section data estimation methodology for specialized economic research.

Includes select academic contributions from the 2019 International Conference on Applied Economics held in Milan.

Provides research insights across applied macroeconomics and applied microeconomics disciplines.

Explores practical applications in applied financial, international, and agricultural economics.

Offers detailed perspectives on applied marketing and applied managerial economics for professionals.

Part of the recognized Springer Proceedings in Business and Economics academic series.

Product Specifications

Brand: Springer
Format: hardcover
ASIN: 3030382524
Category: Books > Subjects > Business, Finance & Law > Economics > Econometrics
Domain: Amazon UK
Release Date: 25 February 2020
Listed Since: 23 November 2019

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Springer Advances in Cross-Section Data Methods in Economics

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