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The Effects of Limited Attention and...

Rustamov, Galib.

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The Effects of Limited Attention and Energy Efficiency Surveys on Residential Energy Consumption Behavior.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	The Effects of Limited Attention and Energy Efficiency Surveys on Residential Energy Consumption Behavior./
作者:	Rustamov, Galib.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2016,
面頁冊數:	131 p.
附註:	Source: Dissertation Abstracts International, Volume: 78-02(E), Section: A.
Contained By:	Dissertation Abstracts International78-02A(E).
標題:	Environmental economics. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10144333
ISBN:	9781339994956

The Effects of Limited Attention and Energy Efficiency Surveys on Residential Energy Consumption Behavior.
Rustamov, Galib.

The Effects of Limited Attention and Energy Efficiency Surveys on Residential Energy Consumption Behavior. - Ann Arbor : ProQuest Dissertations & Theses, 2016 - 131 p.

Source: Dissertation Abstracts International, Volume: 78-02(E), Section: A.

Thesis (Ph.D.)--The Claremont Graduate University, 2016.

This item is not available from ProQuest Dissertations & Theses.

The standard economic theory assumes that individuals are rational and consis- tent in their choices, that they have full attention, and that they do not face any cognitive limitations. In the mean time, behavioral economics shows that individuals present limited computational, cognitive capacity and attention, that they are incon- sistent in their choices and preferences and biased in their decision-making, and that their perceived valuation may differ from the actual-objective valuation. Therefore, considering that current dominant environmental theory assumes rationality in en- ergy markets, developing new environmental policies and theories based on behavioral economics and psychology should be intensified. I analyze customer-specific information and monthly energy usage data from one of the California's largest Investor Owned Utility (IOU) electric companies.

ISBN: 9781339994956Subjects--Topical Terms:

535179
Environmental economics.

The Effects of Limited Attention and Energy Efficiency Surveys on Residential Energy Consumption Behavior.
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245 1 4 $a The Effects of Limited Attention and Energy Efficiency Surveys on Residential Energy Consumption Behavior.
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300 $a 131 p.
500 $a Source: Dissertation Abstracts International, Volume: 78-02(E), Section: A.
500 $a Adviser: Hal T. Nelson.
502 $a Thesis (Ph.D.)--The Claremont Graduate University, 2016.
506 $a This item is not available from ProQuest Dissertations & Theses.
520 $a The standard economic theory assumes that individuals are rational and consis- tent in their choices, that they have full attention, and that they do not face any cognitive limitations. In the mean time, behavioral economics shows that individuals present limited computational, cognitive capacity and attention, that they are incon- sistent in their choices and preferences and biased in their decision-making, and that their perceived valuation may differ from the actual-objective valuation. Therefore, considering that current dominant environmental theory assumes rationality in en- ergy markets, developing new environmental policies and theories based on behavioral economics and psychology should be intensified. I analyze customer-specific information and monthly energy usage data from one of the California's largest Investor Owned Utility (IOU) electric companies.
520 $a I analyze the effect of residential customers' limited attention to their energy consumption, the behavioral implications of customers taking energy-efficiency surveys, and the effect of how the survey was administered (i.e., online or mail) to draw some broad conclusions applicable to similar program interventions in the market for electricity as well as for gas, water, and other services. The aim is to understand how providing consumers with information about their use of electricity, either in their monthly bills or through home-energy surveys, affects their energy consumption.
520 $a In Chapter 3, I examine the role of attention in household decision-making, with respect to their energy consumption using randomly selected residential households that did not participate in any known home energy surveys. To empirically analyze the data, I use the Sharp Regression Discontinuity design to calculate the LATE. I use the estimation method suggested by Imbens and Kalyanaraman (2012) to identify the optimal bandwidth. The findings show that the previous month's billing amount discontinuously predicts the current month's kWh energy consumption if the billing amount crosses the $50 threshold for low-income households. This value plays an anchoring role for the households. Additionally, the reaction to the billing amount differs for each income group. As income increases, the threshold amount also in- creases. Information provided to households is not salient, limited attention impairs the consumption behavior and decision-making.
520 $a In Chapter 4, I examine the consumers behavioral response to the home energy efficiency surveys. The chapter investigates the overall effect of survey participation and the differential effects of different delivery mechanisms of the surveys, i.e., through the mail and online. Additionally, given that energy efficiency survey participants are self-selected, I investigate the persistence of the post-survey behavior. The duration of the effect is also analyzed for different survey mechanisms. The main empirical challenge has been to address the selection bias issue. In this chapter, I propose both identifying the better comparison group and the empirical method to correct for the selection bias. I use future survey participants as the comparison group, as suggested by Sianesi (2004, 2008). This framework will determine the valid propensity score matching estimation, in contrast with using randomly selected individuals, as has been commonly used in this field.
520 $a Then, I calculate non-parametric DID and quantile DID using the kernel-based propensity score matching method. The results suggest that households who partic- ipate in the survey reduce their consumption by 6.7%, compared with that of those who have not yet participated in the survey. The quantile DID estimators show that as the quantiles of the distribution increase, the effect (the dependent variable is the logarithm of consumption) of the program decreases. The results suggest that these two estimators should complement (but not substitute for) conclusive evidence re- garding the effect of program participation. Considering the urgent need to reduce greenhouse emissions and increase the energy savings, our results may contribute to the design of more effective billing and feedback mechanisms for energy-end-users.
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650 4 $a Energy. $3 876794
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710 2 $a The Claremont Graduate University. $b Politics and Economics. $3 2095875
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792 $a 2016
793 $a English
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