Habit persistence across six U.S. tourism sub-industries is estimated using a dynamic forward looking model. Estimates show that habits largely determine current expenditure for air transportation, shopping, accommodation, and other transportation. Estimated uncompensated price elasticities find...

Colorado is considering raising personal income taxes to fund a $950 million initiative. Are the increased benefits from educational attainment worth the revenue costs? This study surveys in-depth the economic literature on the impact of increased educational expenditure on future income,...

While a host of economic variables have been identified in the literature with the apparent in-sample ability to predict the equity premium, Goyal and Welch (2008) find that these variables fail to deliver consistent out-of-sample forecasting gains relative to the historical average. Arguing...

Yes, they can! Machine learning models that exploit big data identify leverage determinants and predict leverage better than classical methods. By allowing for nonlinearities and complex interactions, machine learning boosts the out-of-sample R-squared from 36% to 56% over linear methods such as...

What predicts returns on assets with "hard-to-value" fundamentals, such as Bitcoin and stocks in new industries? We propose an equilibrium model that shows how rational learning enables return predictability through technical analysis. We document that ratios of prices to their moving averages...

We examine the relationship between growth in transportation and economic output across Chinese provinces from 2005-2014. Panel GMM methods evaluate the impact of changes in air, conventional rail, HSR, roads, and waterways turnover volume on provincial output growth. GMM estimates demonstrate...

We document that several well known asset-pricing implications of accruals differ for investment and non-investment-related components. Exposure to an investment-accruals factor explains the cross-section of returns better than the accruals themselves, and this factor's returns are negatively...

This paper investigates the impact of high-speed railroads (HSR) on city-level economic activity using a new dataset for approximately 200 cities in China from 2007-2014. We apply panel Granger causality methods to assess whether increases in a city's accessibility increases GDP growth, GDP per...

In this paper, we forecast industry returns out-of-sample using the cross-section of book-to-market ratios and investigate whether investors can exploit this predictability in portfolio allocation. Cash-flow and return forecasting regressions show that cross-industry book-to-market ratios...

We investigate lead-lag relationships among country stock returns and identify a leading role for the United States: lagged U.S. returns significantly predict returns in numerous non-U.S. industrialized countries (after controlling for national economic variables and countries' own lagged...