Stefanos
A. Nastis
nastis@cowboys.uwyo.edu
Correspondence Permanent Address
Department of Economics and
Finance Tsimiski 114
Tel: +1 (307) 766-6240 Tel:
+30 2310.263682
Fax: +1 (307) 766-5090 Fax: +30 2310.242885
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1998-2003:
Dissertation
title: “Children, Health, and Environment: Some Economics of
the Effect of the Environment on Children’s Health”
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1998-2001:
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1992-1997:
Aristotle Univ of
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1996: Université
Bordeaux IV,
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Primary: Environmental Economics, Applied Microeconomics, Industrial
Organization, Financial Economics
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Secondary: International Trade, Health Economics and anything exciting…J
q
n Abstract: The
value an adult attaches to own health relative to child health is estimated
when adult health inputs are choice variables and adult health is an input to
child health. Mothers’ weight gains
during pregnancy and children’s birthweights
respectively measure adult and child health.
Estimates suggest mothers value child health about six times more than
own health, and that this relative value declines with number of siblings,
increases with family income, and varies with maternal consumption patterns.
q
n Abstract: This paper examines the
effect of location on children’s health through their impact on intrahousehold allocations. There are several reasons why
location may affect these allocations, an important one being ambient air pollution.
A model is developed with a single decision-maker and household production that
provides a theoretical framework for analyzing the problem at hand. The model
considers the choice of household location as endogenous. Using data from the
National Health and Nutrition Examination Survey III an interval regression
with instrumental variables is used to empirically estimate the effect of
location and intrahousehold allocations on children’s
health. Instrumental variables are employed to correct for unobserved health
heterogeneity. Location affects the amount of resources spent on preventive
child health care thus having an impact on children’s health.
q
n Abstract: This paper examines the
effect of neighborhoods on children’s health,
concentrating on ambient air pollution in the neighborhood
as an important determinant of children’s health. A collective model with
household production was developed, with two parents as decision-makers, and a
single child. The collective framework distinguishes the two parents as
separate decision makers. A simulation was employed using real-world parameters
obtained from the National Health and Nutrition Examination Survey III to
calibrate the model. The results of the collective framework are compared and
contrasted with a unitary framework model where the household has a single preference
function. The results show that important effects of household allocation
decision-making come to light with the use of the collective framework.
q
n Abstract: This paper develops a theoretical framework that
explicitly models a number of activities aimed at reducing children’s and
parents’ risk from health hazards, and is applied to the problem of food
poisoning from food pathogens. The framework employed is the intrahousehold allocation framework that takes into account
the tradeoffs between child and parent health protection, and the consumption
of other commodities, since young children and parents live in a household
where food consumption decisions are made by the parents. The model builds upon
the endogenous risk framework, incorporates the idea that there are a number of
activities that offer protection against health hazards, and each protection
activity differs in terms of access of the parent to the activity,
effectiveness of use of the activity and intensity of use of the activity. The
parent’s ex ante marginal willingness-to-pay for a risk
reduction that affects both own health and child health is derived,
unencumbered by expected utility terms. The theoretical model aids in the
creation of a questionnaire that collects the appropriate data for the
empirical estimation, and the development of an appropriate econometric
specification for the estimation of the relative valuation of child and parent
health from the data collected.
q
Chen, H., V. Konstantinov, S. Kurita, S.A. Nastis and A. Telyakovski (2001) “Á Real Option Model for Evaluating Multiproduct
Natural Resource Investments”, Institute for Operations Research and the
Management of Sciences (INFORMS) Annual Meeting,
n Abstract: A model
is proposed that can be used to value mutli-product,
multistage natural resource investments in a complete markets setting. The
model allows for stochastic prices of the end products and nonstochastic
extraction and inventory costs. Using arbitrage arguments, we derive a
second-order partial differential equation (PDE) that the value of the natural
resource obeys. The PDE can be used to determine the optimal extraction policy
for a mine and the optimal operating policy for a processing plant, as well as
the no-arbitrage price of the resource. It was analytically solved for the
asymptotic behavior of the PDE and we use the
asymptotic results to solve the PDE numerically using finite-difference
methods. The model was applied to two specific cases: the extraction and
processing of bi-metallic ores and the optimal operation of a factory that
purchases tradable pollution permits.
Presented
at the 2001 Institute for Operations Research and the Management of Sciences
(INFORMS) Annual Meeting,
q
q 2003 Intermediate Microeconomics
q 2002 Intermediate Macroeconomics
q 2001-2003: Research
Assistant University of Wyoming, for Prof. Thomas Crocker, working on a two
year EPA grant titled “Benefit Transfer: Using Values from Adult-Oriented
Studies to Evaluate Children’s Health Effects”.
q Fall 2000: Teaching
Assistant for
q International
Student Scholarship,
q Erasmus
Scholarship, Sciences Economiques, Université Bordeaux IV,
Grant participation
q
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European Union Grant: Improvement of Less Favored Areas (LFAs)
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Ministry of Education and Aristotle University of
Thessaloniki, Greece, Grant on the development of agricultural communities
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French Very
good
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German Good
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Greek Excellent
Nationality: Hellenic
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