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Application of statistical models to energy and labor markets, An
Mathur, Shivani
Mathur, Shivani
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2022
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Abstract
The thesis explores empirical questions in energy and labor economics. In the first
chapter, econometric techniques are employed to investigate the relationship between
household access to electricity, hours of supply of electricity, and labor market outcomes,
specifically, labor participation rates and number of working hours. Our results indicate
limited effects of electricity reliability on rural and slum populations. For urban
populations, electricity reliability improves both labor participation rates and labor hours
for men and total populations, however, the magnitudes of these effects are small. Further,
our results also suggest that men benefit more than women from reliable electrification
with improved labor market outcomes in urban contexts, however, this does not hold true
for rural contexts.
In the second chapter, we ask what creates effective reciprocity in online labor markets.
We investigate the gift exchange hypothesis using a large field experiment conducted through
a crowdsourcing platform. We find that gift exchange or bonuses incentivize workers to
spend more time on tasks and induce them to complete more tasks. However, they do not
necessarily improve all dimensions of the data quality or outcome of a complex task. We also
learn that outcomes can be improved on some dimensions i.e., completeness and productivity
by skill matching.
In the third chapter, we examine the relationship between distribution grid reliability
and distributed solar capacity using proprietary utility feeder level data on reliability and
solar installed capacity and econometric methods. Our results indicate that presence of solar
capacity on a feeder, can help reduce outage duration on the feeder, while it does not impact
the frequency of the outages. This relationship is dependent on the number of customers on
the feeder. Low population feeders see improvements in reliability, with installation of solar
capacity.
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