Institutional Affiliation: Harvard University
|Recovering Investor Expectations from Demand for Index Funds|
with , : w26608
We use a revealed-preference approach to estimate investor expectations of stock market returns. Using data on demand for index funds that follow the S&P 500, we develop and estimate a model of investor choice to flexibly recover the time-varying distribution of expected returns. Our analysis is facilitated by the prevalence of “leveraged” funds that track the same underlying asset: by choosing between higher and lower leverage, investors trade off higher return against less risk. Although generated from a different method (realized choices) and a different population, our quarterly estimates of investor expectations are positively and significantly correlated with the leading surveys used to measure stock market expectations. Our estimates suggest that investor expectations are heterogene...
|The Long-Run Dynamics of Electricity Demand: Evidence from Municipal Aggregation|
with , : w23483
We study the dynamics of residential electricity demand by exploiting a natural experiment that produced large and long-lasting price changes in over 250 Illinois communities. Using a flexible difference-in-differences matching approach, we estimate that the price elasticity of demand grows from –0:09 in the first six months to –0:27 two years later. We also estimate a more sophisticated model in which usage is a function of past and future prices, and we find similar elasticity patterns. Our findings highlight the importance of accounting for consumption dynamics when evaluating energy policy.
Published: Tatyana Deryugina & Alexander MacKay & Julian Reif, 2020. "The Long-Run Dynamics of Electricity Demand: Evidence from Municipal Aggregation," American Economic Journal: Applied Economics, vol 12(1), pages 86-114. citation courtesy of