Authors ( affiliation if multiple institution)

1
Department of Civil Engineering
TITLE OF THE PROJECT GOES HERE
Authors ( affiliation if multiple
institution) Email address_at_ce.buet.ac.bd
TABLE 2 Caption of table
BACKGROUND RESEARCH QUESTIONS Noise
Depreciation Index (NDI) change in property
prices/change in noise exposure
NDI
?ln(Price)/?Noise NDI used to determine the noise
costs around airports NDI determined by Hedonic
Price methods, by observing the tradeoff between
property prices and noise exposure in a sample of
households with differing characteristics Differen
t NDI estimates available for different
countries/airports Is there any consistency among
the NDI estimates? Can we explain the
differences among the NDI estimates? Can we
transfer the NDI values to other countries, where
NDIs are not available? Does income/wealth has
any effect on sensitivity to noise, i.e. NDI
(previous summary evidence contradictory)?

Explanatory factors Expected sign Model No Model No Model No Model No
Explanatory factors Expected sign a b c d








HEADER Functional Specification Linear vs.
Semilog Same data, different specification Numbe
r of covariates and omitted variable bias, e.g.
airport access control Spatial autocorrelation
does not affect much Data type individual
household/census tract or block sample size
etc. Regional differences
HEADER Functional Specification Linear vs.
Semilog Same data, different specification Numbe
r of covariates and omitted variable bias, e.g.
airport access control Spatial autocorrelation
does not affect much Data type individual
household/census tract or block sample size
etc. Regional differences Etc Etc
FIGURE 2 Title of Figure
FIGURE 1 Title of Figure
HEADER Functional Specification Linear vs.
Semilog Same data, different specification Numbe
r of covariates and omitted variable bias, e.g.
airport access control Spatial autocorrelation
does not affect much Data type individual
household/census tract or block sample size
etc. Regional differences
HEADER Functional Specification Linear vs.
Semilog Same data, different specification Numbe
r of covariates and omitted variable bias, e.g.
airport access control Spatial autocorrelation
does not affect much Data type individual
household/census tract or block sample size
etc. Regional differences
CONCLUSIONS Functional Specification Linear vs.
Semilog Same data, different specification Numbe
r of covariates and omitted variable bias, e.g.
airport access control Spatial autocorrelation
does not affect much Data type individual
household/census tract or block sample size
etc. Regional differences NDI 0.367
1.4910-6Property Price 0.184 if in
Canada (0.119)
(4.110-7)
(0.184) NDI 0.428 0.0367Relative
Property Price 0.088 if in Canada
(0.139) (0.0177)
(0.202)
TABLE 2 Caption of table
Model a b c d
At sample mean property price or relative property price
Airport accessibility corrected
At property price USD 300,000
At property price USD 300,000 with airport access
REFERENCES Dr. Andreas Schäfer Dr. Tom G
Reynolds University of Cambridge
..
ACKNOWLEDGEMENTS Dr. Andreas Schäfer, Dr. Tom G
Reynolds, and University of Cambridge
2
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