How To Build An Econometric Model
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The Methodology of Economic Model Building (Routledge Revivals)
The major methodological task for modern economists has been to establish the testability of models. Too often, however, methodological assumptions can make a model virtually impossible to test even under ideal conditions, yet few theorists have examined the requirements and problems of assuring testability in economics. In The Methodology of Economic Model Building, first published in 1989, Lawrence Boland presents the results of a research project that spanned more than twenty years. He examines how economists have applied the philosophy of Karl Popper, relating methodological debates about falsifiability to wider discussions about the truth status of models in natural and social sciences. He concludes that model building in economics reflects more the methodological prescriptions of the economist Paul Samuelson than Popper’s ‘falsificationism’. This title will prove invaluable to both students and researchers, and represents a substantial contribution to debates about the scientific status of economics.
An Econometric Model of the Urban Opportunity Structure
Using an extensive database for the nation's 100 largest cities, this report examines the relationships among the housing, mortgage, and labor markets; the local public sector; household location patterns; and crime, dropping out of school, and out-of-wedlock childbearing. In addition to its comprehensiveness, this is also the first work to examine how underserved areas, as defined by HUD, interact with the various components of the opportunity structure. Includes 3 appendices: a glossary of variables; estimation of housing price indexes; and reduced form estimates (standardized coefficients).
Model Building in Economics
Author: Lawrence A. Boland
language: en
Publisher: Cambridge University Press
Release Date: 2014
Concern about the role and the limits of modeling has heightened after repeated questions were raised regarding the dependability and suitability of the models that were used in the run-up to the 2008 financial crash. In this book, Lawrence Boland provides an overview of the practices of and the problems faced by model builders to explain the nature of models, the modeling process, and the possibility for and nature of their testing. In a reflective manner, the author raises serious questions about the assumptions and judgments that model builders make in constructing models. In making his case, he examines the traditional microeconomics-macroeconomics separation with regard to how theoretical models are built and used and how they interact, paying particular attention to the use of equilibrium concepts in macroeconomic models and game theory and to the challenges involved in building empirical models, testing models, and using models to test theoretical explanations.