A Dynamic Space-Time Panel Data Model of State-Level Beer Consumption

A dynamic space-time panel data model containing random effects is used to examine state-level beer consumption over the period of 1970 to 2007 for the 48 contiguous US states and the District of Columbia. A valuable aspect of dynamic space-time panel data models is that the parameter estimates from these models can be used to quantify dynamic responses over time and space as well as space-time diffusion impacts. We examine the impact of state-level taxes on beer on home (own) state and outside (other) state consumption of beer. The model allows for this situation since buyers of beer near state borders can purchase in neighboring states if there is a tax advantage for doing so.

Discipline thesis:degree_discipline

Finance and Economics

Grantor

Texas State University-San Marcos

Year dc:date.issued

2010

Author dc:creator

• Heinai, Mutsuko

Advisor dc:contributor.advisor

• LeSage, James P.

• dynamic space-time panal data model
• Markov chain monte carlo estimation
• dynamic responses over time and space

Language dc:language.iso

en

Handle dc:identifier.uri

https://hdl.handle.net/10877/3294

OAI identifier oai:identifier

oai:digital.library.txst.edu:10877/3294