This paper reviews the cross-country record of economic growth, using as organizing framework how economic theory has guided that empirical analysis. The paper argues that recent studies of economic growth - both empirical and theoretical - distinguish from previous work in three distinct ways: 1. An explicit focus on cross-country growth and development experiences; 2. Improved, more extensive cross-country data; 3. A heightened need, driven by real-world topicality, for understanding the role of knowledge and technology in economic growth.
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Paper provided by C.E.P.R. Discussion Papers in its series CEPR Discussion Papers with number
2294.
Find related papers by JEL classification: C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data D30 - Microeconomics - - Distribution - - - General E13 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Neoclassical O30 - Economic Development, Technological Change, and Growth - - Technological Change - - - General O41 - Economic Development, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - One, Two, and Multisector Growth Models
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