Understanding the structure of a large econometric model is rather like the art of winetasting or like the art of playing a musical instrument. The quality of a wine results from a complex combination of various elements such as its colour which should be clear and crystalline, its smell which can be decomposed into a general aroma and a variety of particular characteristics, more or less persistent depending on the type and the age of the wine, its taste, of course, which again is a complex system whose equilibrium and charm depend on the whole set of ingredients: alcohol, tannin, glycerine, sugar, acidity . . . Similarly, a clarinetist's musicianship depends on the quality of his instrument, on his embouchure, fingering, tonguing and articu lation techniques, on his sense for rhythm, phasing and tone colour. However, the enchantment produced by a Romanee-Conti or by a brilliant performance of Brahm's F minor sonata for clarinet and piano arises from a process which is at the same time time much simpler and much more complex than the straightforward juxtaposition of individual causal relations. In recent years econometricians and macro-economists have been challenged by the problem of keeping abreast with an ever increasing number of increasingly more complex large econometric models. The necessity of developing systematic analytical tools to study the often implicit and hidden structure of these models has become more evident.

Many economic and social surveys are designed as panel studies, which provide important data for describing social changes and testing causal relations between social phenomena. This textbook shows how to manage, describe, and model these kinds of data. It presents models for continuous and categorical dependent variables, focusing either on the level of these variables at different points in time or on their change over time. It covers fixed and random effects models, models for change scores and event history models. All statistical methods are explained in an application-centered style using research examples from scholarly journals, which can be replicated by the reader through data provided on the accompanying website. As all models are compared to each other, it provides valuable assistance with choosing the right model in applied research. The textbook is directed at master and doctoral students as well as applied researchers in the social sciences, psychology, business administration and economics. Readers should be familiar with linear regression and have a good understanding of ordinary least squares estimation. ​

Types of economic deforestation models. Household and firm-level models. Regional-level models. National and macro-level models. Priority areas for future research.

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Using Microsoft Excel, the market leading spreadsheet package, this book combines theory with modelling aspects and spreadsheet analysis. Microeconomics Using Excel provides students with the tools with which to better understand microeconomic analysis.It focuses on solving microeconomic problems by integrating economic theory, policy analysis and

This open access book analyzes and seeks to consolidate the use of robust quantitative tools and qualitative methods for the design and assessment of energy and climate policies. In particular, it examines energy and climate policy performance and associated risks, as well as public acceptance and portfolio analysis in climate policy, and presents methods for evaluating the costs and benefits of flexible policy implementation as well as new framings for business and market actors. In turn, it discusses the development of alternative policy pathways and the identification of optimal switching points, drawing on concrete examples to do so. Lastly, it discusses climate change mitigation policies’ implications for the agricultural, food, building, transportation, service and manufacturing sectors.

The book provides a hands-on introduction to computable general equilibrium (CGE) models, written at an accessible, undergraduate level.