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  1. Doing Statistical Analysis: A Student’s Guide to Quantitative Research

    What is statistical analysis from a research perspective?. 1.2 Why do statistical analysis in research?. The book¿s purpose and pedagogical approach. 1.1 A statistical association: Covid-19 spread and residential property prices.

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  2. Economics with Heterogeneous Interacting Agents: A Practical Guide to

    Mauro Gallegati is Professor of Economics at the Polytechnic University of Marche (Ancona, Italy). He has been involved in several international research projects since 2004.

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  3. Atlas of Global Development: A Visual Guide to the World's Greatest Challenges,

    No visible signs of wear, dust jacket present on hardcovers. In rare cases, a book may differ from the stated edition. (Rebinding, adhesive, covers, or similar). All pages intact, no creases, tears, underlines, or markings.

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  4. Powell - Inside a Modern Macroeconometric Model A Guide to the Mode - L555z

    Books are released in many editions and variations, such as standard edition, re-issue, not for sale, promotional, special edition, limited edition, and many other editions and versions. The Book you receive could be any of these editions or variations.

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  5. Inside a Modern Macroeconometric Model: A Guide to the Murphy Model

    Increasingly though, forecasting and policy analysis is based on a formal, explicit model, represented by a set of mathematical equations and solved by computer.

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  6. Thrane - Doing Statistical Analysis A Student's Guide to Quantitative - P555z

    The Title is Doing Statistical Analysis: A Student's Guide to Quantitative Research. Keeping equations to a minimum, it uses a conversational style and relatable examples such as football, COVID-19, and tourism, to aid understanding.

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  7. Running Regressions: A Practical Guide to Quantitative Research in Economics,

    Running Regressions introduces first-year social science undergraduates, particularly those studying economics and business, to the practical aspects of simple regression analysis, without adopting an esoteric, mathematical approach. It shows that statistical analysis can be simultaneously straightforward, useful and interesting, and can deal with topical, real-world issues. Each chapter introduces an economic theory or idea by relating it to an issue of topical interest, and explains how data and econometric analysis can be used to test it. The book can be used as a self-standing text or to supplement conventional econometric texts. It is also ideally suited as a guide to essays and project work.

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  8. A Practitioner's Guide to Stochastic Frontier Analysis Using Stata

    The authors explain in detail how to estimate production, cost, and profit efficiency and introduce the basic theory of each model in an accessible way, using empirical examples that demonstrate the interpretation and application of models.

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