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Atul Dar

Researcher at Saint Mary's University

Publications -  33
Citations -  596

Atul Dar is an academic researcher from Saint Mary's University. The author has contributed to research in topics: Investment (macroeconomics) & Capital (economics). The author has an hindex of 9, co-authored 33 publications receiving 564 citations.

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Government size, factor accumulation, and economic growth: evidence from OECD countries

TL;DR: This paper examined the role of government size in explaining the differences in economic growth rates of the 19 Organization for Economic Co-operation and Development (OECD) countries over the 1971-1999 period using a random coefficients model.
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An empirical study of the patterns and sources of technical inefficiency in traditional and HYV rice cultivation in Bangladesh

TL;DR: In this paper, the authors examined the technical efficiency of farmers in the cultivation of traditional and high-yielding-variety (HYV) rice in a village in Bangladesh and found that despite much higher yields, HYV cultivation displays lower technical efficiency and much greater variability in efficiency.
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On the impact of trade openness on growth: further evidence from OECD countries

Atul Dar, +1 more
- 10 Nov 2003 - 
TL;DR: In this paper, the authors examined empirically the implications of the degree of openness for total and individual factor productivity growth in a group of 19 OECD countries over the last three decades.
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A varying-coefficients model of export expansion, factor accumulation and economic growth: Evidence from cross-country, time series data

TL;DR: In this article, the authors re-examine the role of export expansion in developing countries in a production function framework by adopting a random coefficients model that can be viewed as a refinement of laws as stated by Pratt and Schlaifer.
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Testing for capital mobility: A random coefficients approach

TL;DR: In this paper, the authors extended the Feldstein-Horioka (1980), Feldstein (1983) and subsequent studies on the degree of capital mobility by adopting a random coefficients model.