McPheters, Lee R.

Person Preferred Name
McPheters, Lee R.
Model
Digital Document
Publisher
Florida Atlantic University
Description
This study includes an historical perspective which gives
insight into the reasons for holding coins. Emphasis is given to
the particular attributes of coins which differentiate between
them and the aggregate money supply. Also included is a survey of
relevant literature which concentrates upon the demand for money and
the demand for currency as theoretical supports for the demand for
coins. The models to estimate the demand for coins are discussed
and then the estimations themselves receive attention. The models
are estimated using multiple regression, and results tend to confirm
the hypothesis that the traditional demand for money function
does not precisely explain the demand for coins. The conclusion is,
basically, that there are indeed other variables explaining the
demand for coins which must be included in the model.
Model
Digital Document
Publisher
Florida Atlantic University
Description
This thesis examines the transmission of price
fluctuations between international trading partners. Once
the theoretical basis for the transmittal of fluctuations
was established, cross-spectral analysis was employed in
an empirical evaluation of price fluctuations between the
United States and Germany, the United Kingdom, France and
Japan. It was concluded that the price fluctuations in
any given country have a relationship to those of their
trading partners and that policy makers should take this
fact into consideration when instituting anti-inflationary
measures.
Model
Digital Document
Publisher
Florida Atlantic University
Description
This study explains variation in urban crime incidence
as a function of a number of socio-economic variables, including income, education, and urban blight. Ordinary
least squares regression analysis is applied to cross-section
data from the 60 largest Standard Metropolitan Statistical
Areas, for 19 70. Various extensions of the basic model are
presented, using log variables, a lagged endogenous variable,
and indices derived from factor analysis of a large matrix
of socio-economic variables.