Data Transparency and Long-Run Growth
For centuries states have engaged in collecting data to serve various interests. In modern times, a data gap has emerged between developing and developed economies, with the latter having more advanced data systems. The authors explore the effects of data transparency on longrun growth for a sa...
| Main Authors: | , |
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| Format: | Working Paper |
| Language: | English |
| Published: |
World Bank, Washington, DC
2020
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| Subjects: | |
| Online Access: | http://documents.worldbank.org/curated/en/947471607543857349/Data-Transparency-and-Long-Run-Growth http://hdl.handle.net/10986/34915 |
| Summary: | For centuries states have engaged in collecting data to
serve various interests. In modern times, a data gap has
emerged between developing and developed economies,
with the latter having more advanced data systems. The
authors explore the effects of data transparency on longrun
growth for a sample of mostly developing economies.
Data transparency is defined as the timely production of
credible statistics as measured by the Statistical Capacity
Index. The paper finds that data transparency has a positive
effect on real gross domestic product per capita, implying
a statistically significant impact on transitional growth to a
higher potential level of gross domestic product per capita.
The estimates indicate an elasticity of the magnitude of 0.03
percent per year, which is much larger than the elasticity
of trade openness and schooling in the estimation sample.
The empirics employ a variety of econometric estimators,
including dynamic panel and cross-sectional instrumental
variables estimators, with the latter approach yielding a
higher estimated elasticity. The findings are robust to the
inclusion of several factors in addition to political institutions
and exogenous commodity-price and external
debt-financing shocks. |
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