Environment and Development : Penalized Non-Parametric Inference of Global Trends in Deforestation, Pollution and Carbon

Environment and Development : Penalized Non-Parametric Inference of Global Trends in Deforestation, Pollution and Carbon

This paper revisits the issue of environment and development raised in the 1992 World Development Report, with new analysis tools and data. The paper discusses inference and interpretation in a machine learning framework. The results suggest that p...

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Bibliographic Details
Main Authors: Andree, Bo Pieter Johannes, Chamorro, Andres, Spencer, Phoebe, Dogo, Harun
Format: Working Paper
Language:English
Published: World Bank, Washington, DC 2019
Subjects:
ENVIRONMENT
DEVELOPMENT
PENALIZED INFERENCE
NON-PARAMETRIC MODELS
KERNAL REGULARIZED LEAST SQUARES
DEFORESTATION
AIR POLLUTION
CLIMATE CHANGE
GREENHOUSE GAS EMISSIONS
CARBON DIOXIDE EMISSIONS
ENVIRONMENTAL KUZNETS CURVE
TWO DEGREES
Online Access:http://documents.worldbank.org/curated/en/263441551118664212/Environment-and-Development-Penalized-Non-Parametric-Inference-of-Global-Trends-in-Deforestation-Pollution-and-Carbon
http://hdl.handle.net/10986/31330

Internet

http://documents.worldbank.org/curated/en/263441551118664212/Environment-and-Development-Penalized-Non-Parametric-Inference-of-Global-Trends-in-Deforestation-Pollution-and-Carbon
http://hdl.handle.net/10986/31330

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