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Miguel St. Aubyn

23 February 2010
WORKING PAPER SERIES - No. 1154
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Abstract
In a cross section of OECD countries we replace the macroeconomic production function by a production possibility frontier, TFP being the composite effect of efficiency scores and possibility frontier changes. We consider, for the periods 1970, 1980, 1990, 2000, one output: GDP per worker; three inputs: human capital, public physical capital per worker and private physical capital per worker. We use a semiparametric analysis, computing Malmquist productivity indexes, and we also resort to stochastic frontier analysis. Results show that private capital is important for growth, although public and human capital also contribute positively. A governance indicator, a non-discretionary input, explains inefficiency. Better governance helps countries to achieve a better performance. Non-parametric and parametric results coincide rather closely on the countries movements vis-
JEL Code
C14 : Mathematical and Quantitative Methods→Econometric and Statistical Methods and Methodology: General→Semiparametric and Nonparametric Methods: General
D24 : Microeconomics→Production and Organizations→Production, Cost, Capital, Capital, Total Factor, and Multifactor Productivity, Capacity
H50 : Public Economics→National Government Expenditures and Related Policies→General
O47 : Economic Development, Technological Change, and Growth→Economic Growth and Aggregate Productivity→Measurement of Economic Growth, Aggregate Productivity, Cross-Country Output Convergence
23 February 2008
WORKING PAPER SERIES - No. 864
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Abstract
Using annual data from 14 European Union countries, plus Canada, Japan and the United States, we evaluate the macroeconomic effects of public and private investment through VAR analysis. From impulse response functions, we are able to assess the extent of crowding-in or crowding-out of both components of investment. We also compute the associated macroeconomic rates of return of public and private investment for each country. The results point mostly to the existence of positive effects of public investment and private investment on output. On the other hand, the crowding-in effects of public investment on private investment vary across countries, while the crowding-in effect of private investment on public investment is more generalised.
JEL Code
C32 : Mathematical and Quantitative Methods→Multiple or Simultaneous Equation Models, Multiple Variables→Time-Series Models, Dynamic Quantile Regressions, Dynamic Treatment Effect Models, Diffusion Processes
E22 : Macroeconomics and Monetary Economics→Consumption, Saving, Production, Investment, Labor Markets, and Informal Economy→Capital, Investment, Capacity
E62 : Macroeconomics and Monetary Economics→Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook→Fiscal Policy
21 June 2005
WORKING PAPER SERIES - No. 494
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Abstract
We address the efficiency of expenditure in education provision by comparing the output (PISA results) from the educational system of 25, mostly OECD, countries with resources employed (teachers per student, time spent at school). We estimate a semi-parametric model of the education production process using a two-stage procedure. By regressing data envelopment analysis output scores on nondiscretionary variables, both using Tobit and a single and double bootstrap procedure, we show that inefficiency is strongly related to GDP per head and adult educational attainment.
JEL Code
C14 : Mathematical and Quantitative Methods→Econometric and Statistical Methods and Methodology: General→Semiparametric and Nonparametric Methods: General
C61 : Mathematical and Quantitative Methods→Mathematical Methods, Programming Models, Mathematical and Simulation Modeling→Optimization Techniques, Programming Models, Dynamic Analysis
H52 : Public Economics→National Government Expenditures and Related Policies→Government Expenditures and Education
I21 : Health, Education, and Welfare→Education and Research Institutions→Analysis of Education