Presentations begin at 12pm and conclude at 1:10pm in Giannini Hall, room 248.
Spring 2017 schedule
12 April 2017
Presenter: Deirdre Sutula
26 April 2017
Presenter: Tamma Carleton
10 May 2017
Presenters: Susanna Berkouwer and Ken Lee
22 February 2017
Presenter: Danamona Andrianarimanana
Title: Health and wealth effects of agricultural fires in Madagascar
Abstract: Fire is regularly used in agriculture globally and especially in developing countries. Due to the traditional lack of fire data and because agricultural fires (fires used for agricultural practices such as clearing of grasslands and slash-and-burn practice) are motivated by expected gains in income and agricultural output, which are important predictors of health, there is a paucity of evidence regarding the net impact of fires on health. Using high-frequency and high-resolution fire and weather data from satellites, combined with monthly hospitalization data, I use wind variation on the day of fire to identify the pollution impacts of fires in Madagascar, where fire is extensively used to clear forests and pastures annually. Focusing my analysis on the impact of fires on birth outcomes and respiratory diseases, I find that increases in upwind fires lead to decreased birthweight and smaller birth cohort size as well as higher number of hospitalizations related to respiratory and eye infections. I find that these negative health effects persist over time and that effects are heterogeneous based on different levels of pollution exposure. On the other hand, consistent with the existence of a nutrition effect, I find that non-upwind fires predict better health.
01 February 2017
Presenter: Dave McLaughlin
Title: The Impact of Water Rights Curtailments on Junior Rights Holders in California’s Central Valley
Abstract: This paper constructs and analyzes a novel high-resolution dataset of cropping decisions near water rights diversion points in California from 2007-2015, and estimates the average treatment effect of a recent drought policy which sharply curtailed the water allocated to junior water rights holders in 2014 and 2015 on crop acreage for 20 different crops. The effect of supply curtailments on rights holders’ crop acreages is obtained using a differences-in-differences identification strategy. This paper finds that junior rights holders reduced water-intensive crop acreage such as rice and tomatoes by 5% and 3%, respectively. This paper also finds suggestive evidence of junior rights holders increasing less water-intensive acreages of corn and fallow acreage by 6.7% and 1.8%, respectively.
Presenter: Jon Proctor
Title: Estimating Global Agricultural Impacts of Geoengineering Using Volcanic Eruptions as Natural Experiments
Abstract: Solar radiation management (SRM) is increasingly considered a realistic, or even necessary, option for managing global temperatures, yet the economic impacts of ameliorating climatic changes by scattering sunlight back to space remain largely unknown. While SRM’s temperature- and precipitation-mediated impacts on global crop yields have been studied, the insolation impacts of stratospheric sulfate aerosols (SSA) on global yields have never been empirically estimated. Since photosynthesis tends to decrease with reductions in total insolation and increase with the diffuse fraction, the net impact of scattering incoming light on agricultural yield is ambiguous. Here we use the volcanic eruptions that inspired modern SRM proposals as natural experiments to provide the first empirical estimates of 1) how El Chichon and Pinatubo’s SSAs altered the quantity and quality of global insolation, 2) how those changes in insolation impacted global crop yields, and 3) the total effect that SSAs may have on yields in an SRM scenario when all climatic and insolation effects are jointly considered. We find that both the eruptions of El Chichon and Pinatubo altered the global radiation regime in ways unprecedented during our sample. Further, we find that the insolation-mediated impact of SSA on yields is negative for maize, soy, rice and wheat. This insolation effect is less negative for C3 crops than for C4 crops, as well as for aerosols that are more forward scattering. We find that in the G3 SRM scenario the total effect of SSA is essentially zero because its benefits from cooling are offset by similarly sized insolation-mediated damages. This suggests that SRM – if deployed in a way similar to the volcanic eruptions it seeks to mimic – would attenuate little the damages from climate change to global agriculture.
18 January 2017
Presenter: Dina Gorenshteyn
Title: How Important are Clear Notifications and Cost Salience in Capturing Attention? What is the Value of Attention? Evidence from the SFPUC Leak Detection Program
Presenter: Ellen Lin
Title: Environmental Regulations, Firm Performance, and Local Economies in China
Fall 2016 schedule
14 December 2016
Presenter: Matthew Zaragoza-Watkins
Title: Strategic Response to Environmental Regulation: Theory, and Evidence from the U.S. Freight Truck Industry
Abstract: Vintage-differentiated emission standards are widely used to regulate pollution from mobile and stationary sources. When a new standard is expected to increase the price of a new piece of equipment, forward-looking agents may choose to shift purchases ahead of policy implementation, which impacts the policy’s effectiveness and potentially biases analysts attempts to evaluate the impact of the program. To explore this, we develop a model of capital turnover, which predicts how forward-looking firms respond to costly regulation, and the impact of anticipation on the existing capital stock. We find the impact of anticipation depends primarily on the relative emissions rates of new, used and future pieces of capital, as well as the relationship between new-capital purchases and used-capital retirements. If sufficiently many pieces of higher-emitting, used capital are retired early, anticipation can provide net benefits. We test the predictions of our model empirically using a data set of monthly U.S. sales of new freight trucks around the time of EPA’s 2007 implementation of heavy-duty vehicle criteria pollution standards. Consistent with our predictions, we find evidence of a sales spike in the months before the policy took effect, and a sales slump after implementation. We show that prior estimates in the literature, which do not account for the effect of anticipation, significantly overstate the impact of the policy on sales. More broadly, our findings have important implications for regulatory impact analysis of markets in which agents can shift the timing of purchases in anticipation of new regulation.
30 November 2016
Presenter: Ed Rubin
Title: Natural gas elasticities, seasonal heterogeneity, and consumer behavior: Evidence from 300M+ bills
Abstract: In 2016 natural gas became the United States’ primary source of energy. This level of importance, coupled with the fact that natural gas’s prevailing pricing policies have been shown to be potentially inefficient and regressive, suggests understanding residential natural gas consumption behavior is a first-order problem. In this paper, I provide causally identified estimates of residential natural gas demand elasticities using a panel of more than 300 million bills in California. To overcome multiple sources of endogeneity, I utilize the border between two major natural-gas providers, in conjunction with an instrumental variables strategy. I estimate the “pooled” elasticity of demand for residential natural gas is between -0.30 and -0.25. I also provide evidence that the residential elasticity of demand for natural gas varies both with season and with income.
09 November 2016
Presenter: James Gillan
Title: More Power Plants or Smarter Homes? The Economics of Achieving More Flexible Electricity Demand
Abstract: Technological innovations over the past decade have allowed for resources with time-varying costs to be priced more efficiently. Electricity remains a canonical example where the need to balance supply and demand in real-time can lead to substantial short-term fluctuations in the marginal cost of generation. Historically, supply has been built to meet demand, but internet-connected smart home devices now allow consumers to easily respond to changes in the incentive to consume electricity. To estimate the effect of these new technologies on the responsiveness of short-term electricity demand, I perform a field experiment where households are randomly encouraged to adopt smart home devices. With little ahead notice, participants then face random variation in the incentive to consume electricity during specific periods. I explicitly test the hypothesis that automation technologies improve responsiveness, but that increasing financial incentives can achieve similar outcomes. This framework allows me to evaluate the economic benefit of deploying smart home devices that facilitate short-term elasticity in the demand for electricity.
26 October 2016
Presenter: Jon Kadish
Title: Transportation Costs and the Spatial Structure of Cities
Abstract: Over four billion people globally live in rapidly growing urban areas. There are a broad set of interacting factors that give rise to a particular spatial organization of households and firms, such as physical features and land use policy. Transportation costs and real estate prices drive individuals’ decisions about where to work and live. These choices have substantial welfare implications: in the US, we collectively spend over 18,000 person-years commuting everyday and vehicle transportation results in externalities including air pollution, congestion, accidents, and fatalities. Despite high social costs, there is little empirical evidence on the effect of changes in transportation costs on equilibrium city structure. Leveraging the repeal of the National Maximum Speed Law, this paper provides the first quasi-experimental estimates of how a shock to transportation costs impacts real estate prices, firm location and employment, and urban expansion.
12 October 2016
Presenter: Kenny Bell
Title: Empirical estimation of the impact of climate change on livestock industries: The case of dairy
Abstract: The vast majority of the land used in agriculture supports livestock systems, with most of this land in pasture. Due to concern about the environmental effects of changing land uses, and expected future demand increases for animal products, it is crucial to understand how these systems will react to future climate change. Using data on the quantity and quality of milk produced in New Zealand, this paper estimates the nonlinear relationship between weather and dairy production in a pasture-based system. I give suggestive evidence that accounting for heterogeneous response functions by season can have material impacts on climate impact projections.
28 September 2016
Presenter: Matt Woerman
Title: Strategic bidding and transmission congestion: Evidence from the Texas electricity market
Abstract: Competition in wholesale electricity markets depends importantly on the ability to transmit electricity throughout the power grid, which is sensitive to environmental factors. In particular, transmission capacity is reduced at extreme temperatures. I use this temperature-induced variation in the carrying capacity of transmission lines to estimate the effects of transmission congestion on firm behavior at natural gas combined-cycle power plants in the Texas electricity market. I find that offer prices to generate electricity more than double at the most extreme temperatures. I show this increase in the supply price is not driven by an increase in costs, but rather by firms exploiting the constraints of the transmission grid to increase markups. I estimate that during these hours of extreme heat, the price received by these plants increases twenty-fold. This evidence supports the conclusion that these plants are strategically increasing offer prices at times of constrained transmission to generate large economic rents.
14 September 2016
Presenter: Fiona Burlig (joint with Louis Preonas and Matt Woerman)
Title: Panel Data and Experimental Design
Abstract: How should researchers design experiments to detect treatment effects with panel data? In this paper, we derive analytical expressions for the variance of panel estimators under non-i.i.d. error structures, which inform power calculations in panel data settings. We use simulation to demonstrate that, with correlated errors, traditional methods for experimental design result in experiments that are underpowered with proper inference. Our theoretical results enable us to correct these problems in both simulated and real data. This paper provides researchers with the tools to design well-powered experiments in panel data settings.