Nonparametric modelling of biodiversity: Determinants of threatened species
This study uses a sample of 71 countries and nonparametric quantile and partial regressions to model a number of threatened species (reptiles, mammals, fish, birds, trees, plants) in relation to various economic and environmental variables (GDPc, CO2 emissions, agricultural production, energy intensity, protected areas, population and income inequality). From the analysis and due to high asymmetric distribution of the dependent variables it seems that a linear regression is not adequate and cannot capture properly the dimension of the threatened species. We find that using OLS instead of non-parametric techniques over- or under-estimates the parameters which may have serious policy implications.
If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Moshe Buchinsky, 1998. "Recent Advances in Quantile Regression Models: A Practical Guideline for Empirical Research," Journal of Human Resources, University of Wisconsin Press, vol. 33(1), pages 88-126.
- Duval, Romain & de la Maisonneuve, Christine, 2010. "Long-run growth scenarios for the world economy," Journal of Policy Modeling, Elsevier, vol. 32(1), pages 64-80, January.
- Costanza, Robert & Fisher, Brendan & Mulder, Kenneth & Liu, Shuang & Christopher, Treg, 2007. "Biodiversity and ecosystem services: A multi-scale empirical study of the relationship between species richness and net primary production," Ecological Economics, Elsevier, vol. 61(2-3), pages 478-491, March.
- Koenker,Roger, 2005.
Cambridge University Press, number 9780521845731, August.
- Koenker,Roger, 2005. "Quantile Regression," Cambridge Books, Cambridge University Press, number 9780521608275, October.
- Roger Koenker & Kevin F. Hallock, 2001. "Quantile Regression," Journal of Economic Perspectives, American Economic Association, vol. 15(4), pages 143-156, Fall.
- Rolf Groeneveld & Carla Grashof-Bokdam & Ekko van Ierland, 2005. "Metapopulations in Agricultural Landscapes: A Spatially Explicit Trade-off Analysis," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 48(4), pages 527-547.
- Samuel Brody, 2003. "Examining the Effects of Biodiversity on the Ability of Local Plans to Manage Ecological Systems," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 46(6), pages 817-837.
- Koenker, Roger W & Bassett, Gilbert, Jr, 1978. "Regression Quantiles," Econometrica, Econometric Society, vol. 46(1), pages 33-50, January.
- Nunes, Paulo A. L. D. & van den Bergh, Jeroen C. J. M., 2001. "Economic valuation of biodiversity: sense or nonsense?," Ecological Economics, Elsevier, vol. 39(2), pages 203-222, November.
- Powell, James L., 1986. "Censored regression quantiles," Journal of Econometrics, Elsevier, vol. 32(1), pages 143-155, June.
- Di Vita, Giuseppe, 2008. "Is the discount rate relevant in explaining the Environmental Kuznets Curve?," Journal of Policy Modeling, Elsevier, vol. 30(2), pages 191-207.
- Giuseppe Di Vita, 2003. "Is the Discount Rate Relevant in Explaining the Environmental Kuznets Curve?," Working Papers 2003.83, Fondazione Eni Enrico Mattei.
- Koenker, Roger & Bassett, Gilbert, Jr, 1982. "Robust Tests for Heteroscedasticity Based on Regression Quantiles," Econometrica, Econometric Society, vol. 50(1), pages 43-61, January.
- Holden, Stein T. & Shiferaw, Bekele & Wik, Mette, 1998. "Poverty, market imperfections and time preferences: of relevance for environmental policy?," Environment and Development Economics, Cambridge University Press, vol. 3(01), pages 105-130, February.
- Buchinsky, Moshe, 1995. "Estimating the asymptotic covariance matrix for quantile regression models a Monte Carlo study," Journal of Econometrics, Elsevier, vol. 68(2), pages 303-338, August.
- Bockermann, Andreas & Meyer, Bernd & Omann, Ines & Spangenberg, Joachim H., 2005. "Modelling sustainability: Comparing an econometric (PANTA RHEI) and a systems dynamics model (SuE)," Journal of Policy Modeling, Elsevier, vol. 27(2), pages 189-210, March.
- Cao, Shixiong & Wang, Xiuqing, 2010. "Unsustainably low birth rates: A potential crisis leading to loss of racial and cultural diversity in China," Journal of Policy Modeling, Elsevier, vol. 32(1), pages 159-162, January.
- Moon, Sunung & Jeon, Yongil, 2009. "How valid are long-term government plans? Technological forecasting of the Korean biotechnology industry," Journal of Policy Modeling, Elsevier, vol. 31(6), pages 891-902, November.
- Newey, Whitney K & Powell, James L, 1987. "Asymmetric Least Squares Estimation and Testing," Econometrica, Econometric Society, vol. 55(4), pages 819-847, July. Full references (including those not matched with items on IDEAS)