Nilkanth Kumar
ETH Zurich
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Featured researches published by Nilkanth Kumar.
Resource and Energy Economics | 2017
Julia Blasch; Massimo Filippini; Nilkanth Kumar
It is an ongoing debate how to increase the adoption of energy-efficient light bulbs and household appliances in the presence of the so-called ’energy efficiency gap’. One measure to support consumers’ decision-making towards the purchase of more efficient appliances is the display of energy-related information in the form of energy-efficiency labels on electric consumer products. Another measure is to educate the consumers in order to increase their level of energy and investment literacy. Thus, two questions arise when it comes to the display of energy-related information on appliances: (1) What kind of information should be displayed to enable consumers to make rational and efficient choices? (2) What abilities and prior knowledge do consumers need to have to be able to process this information? In this paper, using a series of recursive bivariate probit models and three samples of 583, 877 and 1, 375 Swiss households from three major Swiss urban areas, we show how displaying information on the future energy consumption of electrical appliances in monetary terms, i.e. as an estimate of yearly energy cost (CHF) rather than in physical units (kWh), increases the probability that an individual performs an investment analysis and hence chooses the most (cost-)efficient appliance. In addition, our econometric results suggest that individuals with a higher level of energy and, in particular, investment literacy are more likely to perform an optimization rather than relying on a decision-making heuristic and are more likely to identify the most (cost-)efficient appliance.
Social Science Research Network | 2017
Massimo Filippini; William H. Greene; Nilkanth Kumar; Adan L. Martinez-Cruz
This note makes the point that, if a Bivariate Probit (BP) model is estimated on data arising from a Recursive Bivariate Probit (RBP) process, the resulting BP correlation parameter is a weighted average of the RBP correlation parameter and the parameter associated to the endogenous binary variable. Two corollaries follow this proposition: i) a zero correlation parameter in a BP model, usually interpreted as evidence of independence between the binary variables under study, may actually mask the presence of a RBP process; and ii) the interpretation of the correlation parameter in the RBP is not the same as in the BP — i.e. the RBP correlation parameter does not necessarily reflect the correlation between the binary variables under study.
Social Science Research Network | 2017
Julia Blasch; Massimo Filippini; Nilkanth Kumar; Adan L. Martinez-Cruz
There is evidence that many individuals make sub-optimal investment decisions when the benefits and costs associated with that decision are distributed over time. One example is the decision to adopt new electrical appliances, with the benefits of choosing a more energy efficient device materializing only in the future. This paper analyses the impact of the level of an individual’s energy-related investment literacy on the adoption of energy-efficient appliances. Moreover, the empirical analysis explores the impact of decision support tools such as educational slides on the probability that individuals identify the appliance with the lowest lifetime cost, which is ideally also the most energy-efficient appliance. To test the influence of these decision support tools, we developed an online randomized controlled trial and implemented it on two independently chosen samples of the Swiss population. One treatment offers a short education program on how to calculate the lifetime cost of an appliance – via a set of information slides. The second intervention provides access to an online calculator that supports the investment decision-making of the individual. Results across the two samples are encouraging. We find that i) pre-treatment energy and investment literacy positively impact on the probability of identifying the appliance with the lowest lifetime cost; ii) the reinforcement of energy-related investment literacy increases the rate at which individuals identify the appliance with the lowest lifetime cost; and iii) while both interventions are effective in increasing the chances that an appliance with the lower lifetime cost is chosen, the online calculator turned out to be more effective than the educational program. Public policy implications are discussed.
Energy Economics | 2017
Julia Blasch; Nina Boogen; Massimo Filippini; Nilkanth Kumar
This paper estimates the level of transient and persistent efficiency in the use of electricity in Swiss households using the generalized true random effects model (GTREM). A panel dataset of 1,994 Swiss households from 2010 to 2014 collected via a household survey is used to estimate an electricity demand frontier function. We further investigate whether energy and investment literacy have an influence on the household electricity consumption. The results show significant inefficiencies in the use of electricity among Swiss households, both transient (11%) and persistent (22%). We note that the high persistent inefficiency is indicative of structural problems faced by households and systematic behavioral shortcomings in residential electricity consumption. These results indicate a considerable potential for electricity savings and thus reaching the reduction targets defined by the Swiss federal council as part of the Energy Strategy 2050, wherein end-use efficiency improvement is one of the main pillars. The results support a positive role of energy and, in particular, investment literacy in reducing household electricity consumption. Policies targeting an improvement of these attributes could help to improve efficiency in the use of energy within households.
Energy Economics | 2017
Julia Blasch; Nina Boogen; Massimo Filippini; Nilkanth Kumar
22nd Annual Conference of the European Association of Environmental and Resource Economists, EAERE 2016 | 2016
Julia Blasch; Massimo Filippini; Nilkanth Kumar
Archive | 2018
Massimo Filippini; Julia Blasch; Nina Boogen; Nilkanth Kumar
Economics Letters | 2018
Massimo Filippini; William H. Greene; Nilkanth Kumar; Adan L. Martinez-Cruz
15th IAEE European Conference 2017 'Heading towards Sustainable Energy Systems: Evolution or Revolution'?' | 2017
Julia Blasch; Massimo Filippini; Nilkanth Kumar; Adan L. Martinez Cruz
10th Swiss Energy Research Conference | 2016
Julia Blasch; Massimo Filippini; Nilkanth Kumar