|
|
|
|
| LEADER |
02622nmm a2200577 u 4500 |
| 001 |
EB000924902 |
| 003 |
EBX01000000000000000718498 |
| 005 |
00000000000000.0 |
| 007 |
cr||||||||||||||||||||| |
| 008 |
150128 ||| eng |
| 020 |
|
|
|a 9781451947052
|
| 100 |
1 |
|
|a Knight, Malcolm
|
| 245 |
0 |
0 |
|a Testing the Neoclassical Theory of Economic Growth
|b A Panel Data Approach
|c Malcolm Knight, Delano Villanueva, Norman Loayza
|
| 260 |
|
|
|a Washington, D.C.
|b International Monetary Fund
|c 1992
|
| 300 |
|
|
|a 38 pages
|
| 653 |
|
|
|a Investment
|
| 653 |
|
|
|a Demography
|
| 653 |
|
|
|a Income economics
|
| 653 |
|
|
|a Public finance & taxation
|
| 653 |
|
|
|a Public expenditure review
|
| 653 |
|
|
|a Labour
|
| 653 |
|
|
|a Infrastructure
|
| 653 |
|
|
|a Population growth
|
| 653 |
|
|
|a Labor
|
| 653 |
|
|
|a Skills
|
| 653 |
|
|
|a Demographic Trends, Macroeconomic Effects, and Forecasts
|
| 653 |
|
|
|a Income
|
| 653 |
|
|
|a Macroeconomics
|
| 653 |
|
|
|a Capital
|
| 653 |
|
|
|a Population
|
| 653 |
|
|
|a Labor Productivity
|
| 653 |
|
|
|a Saving and investment
|
| 653 |
|
|
|a Aggregate Factor Income Distribution
|
| 653 |
|
|
|a Public Finance
|
| 653 |
|
|
|a Capacity
|
| 653 |
|
|
|a Human capital
|
| 653 |
|
|
|a National Government Expenditures and Related Policies: General
|
| 653 |
|
|
|a Occupational Choice
|
| 653 |
|
|
|a Intangible Capital
|
| 653 |
|
|
|a Expenditures, Public
|
| 653 |
|
|
|a Human Capital
|
| 653 |
|
|
|a Population & migration geography
|
| 700 |
1 |
|
|a Loayza, Norman
|
| 700 |
1 |
|
|a Villanueva, Delano
|
| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
|
| 989 |
|
|
|b IMF
|a International Monetary Fund
|
| 490 |
0 |
|
|a IMF Working Papers
|
| 028 |
5 |
0 |
|a 10.5089/9781451947052.001
|
| 856 |
4 |
0 |
|u https://elibrary.imf.org/view/journals/001/1992/106/001.1992.issue-106-en.xml?cid=857-com-dsp-marc
|x Verlag
|3 Volltext
|
| 082 |
0 |
|
|a 330
|
| 520 |
|
|
|a Several recent empirical studies have examined determinants of economic growth using country average (cross-section) data. In contrast, this paper employs a technique for using a panel of both cross-section and time-series data for 98 industrial and developing countries over 1960-85 to determine the quantitative importance for economic growth of both country-specific and time-varying factors such as human capital, public investment, and outward-oriented trade policies. The empirical results provide support for the view that these factors exert a positive and significant influence on economic growth. They also provide estimates of the speed at which the gap in real per capita income between rich and poor countries is likely to be reduced over the longer term
|