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2000 Working Papers
0006
The
Dynamics of Immigration Policy with Wealth-heterogeneous
Immigrants
James F. Dolmas and Gregory W. Huffman
Abstract: In this paper we consider a simple
intertemporal economy in which immigrants, if admitted,
bring heterogeneous amounts of capital. We show that
under certain conditions there is a level of immigration
which maximizes the economy's capital-labor ratio, and
that this level of immigration is the preferred choice
of a majority of the economy's citizens. We then characterize,
in an overlapping generations setting, the dynamics
of capital accumulation and immigration policy, which
can include multiple steady state equilibria and a sensitivity
of immigration levels to changes in the economy's technology
growth rate.
0005
Self-Selection
Among Undocumented Immigrants from Mexico 
Pia Orrenius and Madeline Zavodny
Abstract: This paper examines the effect
of changes in migration determinants on the skill level
of undocumented immigrants from Mexico. We focus on
the effect of changes in economic conditions, migrant
networks, and border enforcement on the educational
attainment of Mexican-born men who cross the border
illegally. Although previous research indicates that
illegal aliens from Mexico tend to be unskilled relative
to U.S. natives and that economic conditions, networks
and border enforcement affect the size of illegal immigrant
flows across the border, the interaction of these variables
has not been investigated. Results from hazard models
using data from the Mexican Migration Project indicate
that improvements in U.S. and Mexican economic conditions
are associated with relatively less-skilled undocumented
immigrants. Stricter border enforcement is associated
with higher skill levels. Access to a network of previous
immigrants appears to lower the cost of migrating but
has no differential effect by skill level.
0004
The
Use and Abuse of "Real-Time" Data in Economic
Forecasting
Evan F. Koenig, Sheila Dolmas and Jeremy Piger
Abstract: We distinguish between three
different ways of using real-time data to estimate forecasting
equations and argue that the most popular approach should
generally be avoided. The point is illustrated with
a model that uses monthly industrial production, employment,
and retail sales data to predict real GDP growth. When
the model is estimated using our preferred method, its
out-of-sample forecasting performance is superior to
that obtained using conventional estimation and compares
favorably with that of the Blue-Chip consensus.
0003
Unilateral
OECD Policies to Mitigate Global Climate Change
Stephen P. A. Brown and Hillard G. Huntington
0002
On
Fed Watching and Central Bank Transparency in an Overlapping
Generations Model 
Joseph H. Haslag
Abstract: I develop a simple general equilibrium
model that integrates fed watching with central bank
opaqueness. With the intergenerational conflict, opaqueness
can solve a Ramsey problem. With monetary uncertainty
as the only source of randomness, transparency is the
welfare maximizing policy. With other sources of variation,
transparency is costly in the sense that it limits the
central bank's response to intrinsic shocks. In short,
opaqueness is the veil that permits the central bank
freedom to choose money growth in a way to raise welfare.
0001
Low
Frequency Movements in Stock Prices: A State Space Decomposition
Revised May 2001, forthcoming Review of Economics and
Statistics
Nathan S. Balke and Mark E. Wohar
Abstract: Previous analyses have concluded
that expectations of future excess stock returns rather
than future real dividend growth or real interest rates
are responsible for most of the volatility in stock
prices. In this paper, we employ a state-space model
to model the dynamics of the log price-dividend ratio
along with long-term and short term interest rates,
real dividend growth, and inflation. The advantage of
the state space approach is that we can parsimoniously
model the low frequency movements present in the data.
We find that if one allows permanent changes, even though
very small, in real dividend growth, real interest rates,
inflation but not excess stock returns then expectations
of real dividend growth and real interest rates become
significant contributors to fluctuations in stock prices.
However, we also show that stock price decompositions
are very sensitive to assumptions about which unobserved
market fundamentals have a permanent component. When
we allow excess stock returns to have a permanent component
but not real dividend growth, then excess stock returns
becomes an important contributor to stock price movements
while real dividend growth is not. Unfortunately, the
data is not particularly informative about which of
these alternative models is more likely.
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