Background
EPPLE, Dennis N. was born in 1946 in Indiana, United States of America.
EPPLE, Dennis N. was born in 1946 in Indiana, United States of America.
Bachelor of Science (Aeronautical Engineering) Purdue University, 1968. Master of Science (Public and International Affairs) Woodrow Wilson School Public and International Affairs, Princeton University, 1971. Master of Science, Doctor of Philosophy Princeton University, 1973, 1975.
Assistant Professor, Association Professor of Economics, Graduate School Industrial Administration, Carnegie-Mellon University, 1974-1978, 1978-1983. Professor of Economics, Graduate School Industrial Administration, CarnegieMellon University, Pittsburgh, Pennsylvania, since 1984.
(Petroleum Discoveries And Government Policy: An Econometr...)
Observed equilibria among local governments arise from the interaction of two kinds of forces. Collective decisions determine inter alia tax rates, spending levels, borrowing and land use controls. Individual households determine the jurisdiction in which they will reside and the amount of housing and other private goods and services that they will consume.
The objective of my research on this subject is to understand how competition among jurisdictions (arising from mobility of households) and intra-jurisdictional choice processes affect residential choice, tax and spending levels, housing prices, and other facets of local equilibrium. Econometric modelling of exhaustible resource markets is concerned with modelling the time paths of depletion of one or more such resources and the associated paths of prices. Ideally, an econometric model should be derived from a characterisation of the problem being solved by the resource producer.
It should reflect the inherent uncertainty about future prices and costs of extraction. And it should reflect the increase in cost of resource extraction that occurs as the resource is depleted. The objectives of my research on this topic are to use dynamic economic theory to derive such econometric models, and to test the models empirically.