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Book
Year: 2022 Publisher: National Bureau of Economic Research
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Year: 2021 Publisher: National Bureau of Economic Research
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Year: 2023 Publisher: National Bureau of Economic Research
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Year: 2012 Publisher: Cambridge, Mass. National Bureau of Economic Research
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This paper presents experimental evidence that information feedback dramatically increases the price elasticity of demand in a setting where signals about quantity consumed are traditionally coarse and infrequent. In a randomized controlled trial, residential electricity customers are exposed to price increases, with some households also receiving displays that transmit high-frequency information about usage and prices. This substantially lowers information acquisition costs and allows us to identify the marginal information effect. Households only experiencing price increases reduce demand by 0 to 7 percent whereas those also exposed to information feedback exhibit a usage reduction of 8 to 22 percent, depending on the amount of advance notice. The differential response across treatments is significant and robust to the awareness of price changes. Conservation extends beyond the treatment window, providing evidence of habit formation, spillovers, and greenhouse gas abatement. Results suggest that information about the quantity consumed facilitates learning, which likely drives the treatment differential.
Digital
Year: 2017 Publisher: Cambridge, Mass. National Bureau of Economic Research
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Recent empirical work in several economic fields, particularly environmental and energy economics, has adapted the regression discontinuity framework to applications where time is the running variable and treatment occurs at the moment of the discontinuity. In this guide for practitioners, we discuss several features of this "Regression Discontinuity in Time" framework that differ from the more standard cross-sectional RD. First, many applications (particularly in environmental economics) lack cross-sectional variation and are estimated using observations far from the cut-off. This is in stark contrast to a cross-sectional RD, which is conceptualized for an estimation bandwidth going to zero even as the sample size increases. Second, estimates may be biased if the time-series properties of the data are ignored, for instance in the presence of an autoregressive process. Finally, tests for sorting or bunching near the discontinuity are often irrelevant, making the methodology closer to an event study than a regression discontinuity design. Based on these features and motivated by hypothetical examples using air quality data, we offer suggestions for the empirical researcher wishing to use the RD in time design.
Digital
Year: 2018 Publisher: Cambridge, Mass. National Bureau of Economic Research
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Little is known about demand for EVs in the mass market. In this paper, we exploit a natural experiment that provides variation in large EV subsidies targeted at low- and middle-income households in California. Using transaction-level data, we estimate two important policy parameters using triple differences: the subsidy elasticity of demand for EVs and the rate of subsidy pass-through. Estimates show that demand for EVs amongst low- and middle-income households is price-elastic and pass-through is complete. We use these estimates to calculate the expected subsidy bill required for California to reach its goal of 1.5 million EVs by 2025.
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Year: 2006 Publisher: Cambridge National Bureau Of Economic Research. September 2006
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Year: 2005 Publisher: Cambridge National Bureau Of Economic Research. Working Paper Nr.11831. December 2005
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