Exploring Alternative Futures Using a Spatially Explicit Econometric Model

dc.contributor.authorKaza, Nikhil
dc.contributor.authorKnaap, Gerrit
dc.contributor.authorMeade, Douglas
dc.date.accessioned2018-11-20T18:22:01Z
dc.date.available2018-11-20T18:22:01Z
dc.date.issued2008
dc.description.abstractThis paper illustrates the application of various forecasting methodologies in constructing multiple scenarios for the state of Maryland using Long term Inter Industry Forecasting Tool that tracks inter-industry outputs at a macro scale, and State Employment Model that disaggregates these outputs to the states. We then use accessibility, land availability and observed relationships of employment categories to distribute employment at a county level. In this paper, we identify the possible advantages and pitfalls of using large scale economic models to drive employment forecasts at the county level. This framework allows for simulating the implications of macroeconomic scenarios such as changes in exchange rates and unemployment levels, as well as local land use and transportation policies on local employment and demographics. In particular, we focus on two scenarios as test cases both of which involve very different ideas about how future might unfold and their effects on land use and transportation policy prescriptions. One of the scenarios involves, among others, rises in health care spending over the next few years and the other involves increases in energy prices. As will be shown, they have different spatial effects and suggest different policy actions on the part of various governments.en_US
dc.identifierhttps://doi.org/10.13016/M28G8FN2V
dc.identifier.urihttp://hdl.handle.net/1903/21482
dc.language.isoen_USen_US
dc.relation.isAvailableAtDigital Repository at the University of Maryland
dc.relation.isAvailableAtUniversity of Maryland (College Park, Md)
dc.subjectEconomic Developmenten_US
dc.subjectLand Useen_US
dc.subjectMarylanden_US
dc.subjectTransportationen_US
dc.subjectinter-industry forecasting toolen_US
dc.subjectstate employment modelen_US
dc.subjectemployment forecastsen_US
dc.subjectunemploymenten_US
dc.subjecttransportationen_US
dc.titleExploring Alternative Futures Using a Spatially Explicit Econometric Modelen_US
dc.typeArticleen_US

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