41,056 research outputs found
Addressing the education puzzle : the distribution of education and economic reform
No full textNo country has achieved sustained economic development without substantially investing in human capital. Previous studies have shown the handsome returns to various forms of basic education, research, training, learning-by-doing, and capacity-building. But education by itself does not guarantee successful development, as history has shown in the former Soviet bloc, Sri Lanka, the Philippines, and the Indian states of Kerala and West Bengal. The question is, when and how does education bring high payoffs? Although theory has suggested a strong causal link between education and growth, the empirical evidence has not been unanimous and conclusive. The authors examine two explanatory factors. First, who gets educated matters a good deal, but the distribution of education is complex and not much has been written about it. They construct an asset allocation model that elucidates the importance of the distribution of education to economic development. Second, how education affects growth is greatly affected by the economic policy environment. Policies determine what people can do with their education. Reform of trade, investment, and labor policies can increase the returns from education. Using panel data from 12 Asian and Latin American countries for 1970-94, they investigate the relationship between education, policy reform, and economic growth. Their empirical results are promising. First, the distribution of education matters. Unequal distribution of education tends to have a negative impact on per capita income in most countries. Moreover, controlling for human capital distribution and the use of appropriate functional form specifications consistent with the asset allocation model makes a difference for the effect of average schooling on per capita income. Controlling for education distribution leads to positive and significant effects of average schooling on per capita income, while failure to do so leads to insignificant, even negative effects, of average education. Second, the policy environment matters a great deal. Our results indicate that economic policies that suppress market forces tend to dramatically reduce the impact of human capital on economic growth. Investment in human capital can have little impact on growth unless people can use education in competitive and open markets. The larger and more competitive these markets are, the greater are the prospects for using education and skills.Curriculum&Instruction,Economic Theory&Research,Decentralization,Public Health Promotion,Health Monitoring&Evaluation,Health Monitoring&Evaluation,Teaching and Learning,Curriculum&Instruction,Economic Theory&Research,Gender and Education
1993-1994 T. R. Pearson
No full textT. R. Pearson, a.k.a. Rick Gavin, was born in Winston-Salem, North Carolina. He was a student at North Carolina State University, where he gained a B.A. and M.A. in English. He was the first recipient of the John and Renée Grisham Writer in Residence Fellowship. He is the acclaimed author of fourteen novels, including A Short History of a Small Place and Warwolf, and a dozen screenplays. Top of the Rock is his fifth nonfiction book. He lives in Virginia and Brooklyn, New York. (Photo credit: Marian Young)https://egrove.olemiss.edu/grisham_res/1026/thumbnail.jp
"Closing the R&D Gap, Evaluating the Sources of R&D Spending"
No full textBoth spending and tax policies have been implemented in the United States with the goal of stimulating private sector research and development (R&D). Karier questions whether current R&D policy, especially the research and experimentation tax credit, can contribute to closing the gap between nondefense expenditures on R&D in the United States and such expenditures in other countries, such as Japan and Germany. He also explores possible changes to our current R&D policy to make it more effective.
NLFFF extrapolations of AR10978 — analysis volumes
No full textNLFFF extrapolations of AR10978 — analysis volumes
Brief description
The results from a study to discern the dependence on spatial resolution by
the various nonlinear force-free field (NLFFF) extrapolation methods are
described in DeRosa et al. (2015). This dataset contains the analysis
volumes from all 71 NLFFF extrapolations that were analyzed as part of the study. All bin levels for all methods are available, with the exception of
the magnetofrictional solution for bin level 3. For the Grad-Rubin methods,
both the N and P solutions are available. The data and metadata
are stored in the nonproprietary HDF5
format, for which bindings exist in C, C++, Fortran90, IDL, Java, MATLAB,
Python, R, and many other languages.
Filename convention
The filenames below use the following convention:
binXX_opti.h5 : analysis volumes for the optimization method for bin level XX
binXX_magf.h5 : analysis volumes for the magnetofrictional method for bin level XX
binXX_cfit.Y.h5 : analysis volumes for the CFIT code for bin level XX, where Y indicates either the N
or P solution
binXX_femq.Y.h5 : analysis volumes for the FEMQ code for bin level XX, where Y indicates either the N or P solution
binXX_xtra.Y.h5 : analysis volumes for the XTRAPOL code for bin level XX, where Y indicates either the N or P solution
Data and metadata contained in each file
For each case, the data file contains the following arrays:
NLF: four-dimensional array containing Bx,
By, and Bz as a function
of x, y, and z
XINDEX: index of x dimension, in Mm
YINDEX: index of y dimension, in Mm
ZINDEX: index of z dimension, in Mm
<hr
NLFFF extrapolations of AR10978 — analysis volumes
No full textNLFFF extrapolations of AR10978 — analysis volumes
Brief description
The results from a study to discern the dependence on spatial resolution by
the various nonlinear force-free field (NLFFF) extrapolation methods are
described in DeRosa et al. (2015). This dataset contains the analysis
volumes from all 71 NLFFF extrapolations that were analyzed as part of the study. All bin levels for all methods are available, with the exception of
the magnetofrictional solution for bin level 3. For the Grad-Rubin methods,
both the N and P solutions are available. The data and metadata
are stored in the nonproprietary HDF5
format, for which bindings exist in C, C++, Fortran90, IDL, Java, MATLAB,
Python, R, and many other languages.
Filename convention
The filenames below use the following convention:
binXX_opti.h5 : analysis volumes for the optimization method for bin level XX
binXX_magf.h5 : analysis volumes for the magnetofrictional method for bin level XX
binXX_cfit.Y.h5 : analysis volumes for the CFIT code for bin level XX, where Y indicates either the N
or P solution
binXX_femq.Y.h5 : analysis volumes for the FEMQ code for bin level XX, where Y indicates either the N or P solution
binXX_xtra.Y.h5 : analysis volumes for the XTRAPOL code for bin level XX, where Y indicates either the N or P solution
Data and metadata contained in each file
For each case, the data file contains the following arrays:
NLF: four-dimensional array containing Bx,
By, and Bz as a function
of x, y, and z
XINDEX: index of x dimension, in Mm
YINDEX: index of y dimension, in Mm
ZINDEX: index of z dimension, in Mm
<hr
Letter from J. R. Eakin to Carl Hayden
No full textLetter from J. R. Eakin to Carl T. Hayden concerning access to Rowe Well and the canyon
Letter from J. R. Eakin to Stephen Mather
No full textLetter from J. R. Eakin to Stephen T. Mather about expenses and reconstruction of the Kaibab Trail
Letter from Carl Hayden to J. R. Eakin
No full textLetter from Carl T. Hayden to J. R. Eakin regarding changes to the Grand Canyon National Park boundaries and the purchase of lands from William Randolph Hearst
Letter from F. R. Goodman to Carl Hayden
No full textLetter from F. R. Goodman to Carl T. Hayden asking for clarification about the agreement to construct an approach road to the par
Letter from Carl Hayden to F. R. Goodman
No full textLetter from Carl T. Hayden to F. R. Goodman concerning the purchase of Bright Angel Trail and construction of an approach road to the park
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