Using Panel Data to Evaluate Growth Theories
AbstractA method for using panel data to evaluate growth theories is formulated. This method enables endogenous growth models predicting that countries have different trend growth rates to be tested against exogenous growth models predicting that countries have parallel growth paths. This method is applied to data for two samples of countries.
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Bibliographic InfoPaper provided by Institute of Social and Economic Research, Osaka University in its series ISER Discussion Paper with number 0397.
Length: 17 pages
Date of creation: 1996
Date of revision:
ECONOMIC GROWTH ; STATISTICAL ANALYSIS ; STATISTICS;
Other versions of this item:
- O40 - Economic Development, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - General
- C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models
- C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Longitudinal Data; Spatial Time Series
- C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
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