In his Mattioli Lectures, Nobel Laureate Professor Herbert A. Simon directs attention to the kinds of empirical research that are necessary for progress in microeconomics. He traces the development of neoclassical economic theory and its gradual retreat from empiricism to abstraction. He then discusses the importance of business firms to the economic system, and the need for a thoroughly empirical understanding of how organisations work and reach their decisions. Finally, he examines innovative approaches to empirical research, including experimental economics, observational methods for studying economic behaviour, and the kinds of simulation models that are needed to interpret decision process. A round-table discussion of these issues follows; the participants, in addition to Professor Simon, are Professors Claudio Dematte, Massimo Egidi, Richard M. Goodwin, Robert Marris, Aldo Montesano and Riccardo Viale.

This is the first intermediate microeconomics textbook to offer both a theoretical and real-world grounding in the subject. Relying on simple algebraic equations, and developed over years of classroom testing, it covers factually oriented models in addition to the neoclassical paradigm, and goes beyond theoretical analysis to consider practical realities.

This comprehensive Handbook presents the current state of art in the theory and methodology of macroeconomic data analysis. It is intended as a reference for graduate students and researchers interested in exploring new methodologies, but can also be employed as a graduate text. The Handbook concentrates on the most important issues, models and techniques for research in macroeconomics, and highlights the core methodologies and their empirical application in an accessible manner. Each chapter is largely self-contained, whilst the comprehensive introduction provides an overview of the key statistical concepts and methods. All of the chapters include the essential references for each topic and provide a sound guide for further reading. Topics covered include unit roots, non-linearities and structural breaks, time aggregation, forecasting, the Kalman filter, generalised method of moments, maximum likelihood and Bayesian estimation, vector autoregressive, dynamic stochastic general equilibrium and dynamic panel models. Presenting the most important models and techniques for empirical research, this Handbook will appeal to students, researchers and academics working in empirical macro and econometrics.

Like no other text for the intermediate microeconomics course, Goolsbee, Levitt, and Syverson’s Microeconomics bridges the gap between today’s theory and practice, with a strong empirical dimension that lets students tests theory and successfully apply it. With carefully crafted features and vivid examples, Goolsbee, Levitt, and Syverson’s text helps answer two critical questions students ask, "Do people and firms really act as theory suggests?" and "How can someone use microeconomics in a practical way?" The authors teach in economics departments and business schools and are active empirical microeconomics researchers. Their grounding in different areas of empirical research allows them to present the evidence developed in the last 20 years that has tested and refined fundamental theories. Their teaching and professional experiences are reflected in an outstanding presentation of theories and applications.

Handbook of Empirical Economics and Finance explores the latest developments in the analysis and modeling of economic and financial data. Well-recognized econometric experts discuss the rapidly growing research in economics and finance and offer insight on the future direction of these fields. Focusing on micro models, the first group of chapters describes the statistical issues involved in the analysis of econometric models with cross-sectional data often arising in microeconomics. The book then illustrates time series models that are extensively used in empirical macroeconomics and finance. The last set of chapters explores the types of panel data and spatial models that are becoming increasingly significant in analyzing complex economic behavior and policy evaluations. This handbook brings together both background material and new methodological and applied results that are extremely important to the current and future frontiers in empirical economics and finance. It emphasizes inferential issues that transpire in the analysis of cross-sectional, time series, and panel data-based empirical models in economics, finance, and related disciplines.