Earth economics studies the economy of our planet from the perspective of an autarkic system (a “closed economy”). It ignores the constituent national and regional parts of the planet economy and focuses on the whole. The book respects the heritages of IS/LM (Keynes) and neoclassical growth (Solow) not out of economic respect but because these tools are very useful in understanding the crisis and the policy response to that crisis.
Monday, August 21, 2017
SDGs and income inequality
The new global targets for development, the Sustainabe Development Goals, do not consider income inequality although the SDGs pay some lip service. This new and exciting edited volume published by Edward Elgar provides an overview of the state of the art, including the often forgotten issue of how to measure progress regarding a more inclusive development of Earth
Friday, August 4, 2017
earnings inequality 1970-2015
OLLE HAMMAR, Uppsala
University - Department of Economics, Research Institute of Industrial
Economics (IFN)
Email: olle.hammar@nek.uu.se
DANIEL WALDENSTRÖM, Uppsala University - Department of Economics, Research Institute of Industrial Economics (IFN)
Email: daniel.waldenstrom@nek.uu.se
Email: olle.hammar@nek.uu.se
DANIEL WALDENSTRÖM, Uppsala University - Department of Economics, Research Institute of Industrial Economics (IFN)
Email: daniel.waldenstrom@nek.uu.se
We estimate trends in global earnings dispersion
across occupational groups using a new database covering 66 developed and
developing countries between 1970 and 2015. Our main finding is that global
earnings inequality has declined, primarily during the 2000s, when the global
Gini coefficient dropped nearly 10 points and the earnings share of the world's
poorest half doubled. Decomposition analyses emphasize the role of income
convergence between poor and rich countries and that earnings have become more similar
within occupations in traded industries. Sensitivity checks show that the
results are robust to varying real exchange rates, inequality measures and
population definitions.
Book pp. 67-71
Global factors and inflation
"Global
Inflation: The Role of Food, Housing and Energy Prices"
ECB Working Paper No. 2024
Contact: MILES PARKER
Reserve Bank of New Zealand
Auth-Page:
https://ssrn.com/author=1051383
Full
Text: https://ssrn.com/abstract=2923137
ABSTRACT:
This paper studies the role of global factors in causing common movements in
consumer price inflation, with particular focus on the food, housing and energy
sub-indices. It uses a comprehensive dataset of 223 countries and territories
collected from national and international sources. Global factors explain a
large share of the variance of national inflation rates for advanced countries ─
and more generally those with greater GDP per capita, financial development and
central bank transparency ─ but not for middle and low income countries.
Common
factors explain a large share of the variance in food and energy prices.
Book, pp. 29-32
Global data shadow economy 1991-2015
"Shadow Economies Around the
World: New Results for 158 Countries Over 1991-2015"
CESifo Working Paper Series No. 6430
CESifo Working Paper Series No. 6430
LEANDRO MEDINA, George
Washington University - Department of Economics, International Monetary Fund
(IMF) - Western Hemisphere Department
Email: leandrom@gwu.edu
FRIEDRICH SCHNEIDER, Johannes Kepler University Linz - Department of Economics, CESifo (Center for Economic Studies and Ifo Institute for Economic Research), Institute for the Study of Labor (IZA)
Email: friedrich.schneider@jku.at
Email: leandrom@gwu.edu
FRIEDRICH SCHNEIDER, Johannes Kepler University Linz - Department of Economics, CESifo (Center for Economic Studies and Ifo Institute for Economic Research), Institute for the Study of Labor (IZA)
Email: friedrich.schneider@jku.at
Using the MIMIC method, this paper is a first attempt
to estimate the size of the shadow economy of 158 countries over the period
1991 up to 2015. In addition to performing a variety of robustness tests, this
paper explicitly addresses endogeneity concerns to the use of GDP as cause and
indicator, by using the light intensity approach as an indicator variable as
proxy for the size of the economy. Results suggest that the average size of the
shadow economy of these 158 countries over 1991-2015 is 32.5% of official GDP,
which was 34.82% in 1991 and decreased to 30.66% in 2015.
Book p. 21
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