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Sellin' in the Rain: Weather, Climate, and Retail Sales
I apply a novel machine-learning based “weather index” method to daily store- level sales data for a national apparel and sporting goods brand to examine short-run responses to weather and long-run adaptation to climate. I find that even when considering potentially offsetting shifts of sales between outdoor and indoor stores, to the firm's website, or over time, weather has significant persistent effects on sales. This suggests that weather may increase sales volatility as more severe weather shocks be- come more frequent under climate change. Consistent with adaptation to climate, I ...
Small Price Responses to Large Demand Shocks
We study the pricing response of U.S. supermarkets to large demand shocks triggered by labor conflicts, mass population relocation, and shopping sprees around major snowstorms and hurricanes. Our focus on demand shocks is novel in the empirical literature that uses large datasets of individual data to bridge micro price behavior and aggregate price dynamics. We find that large swings in demand have, at best, modest effects on the level of retail prices, consistent with flat short- to medium-term supply curves. This finding holds even when shocks are highly persistent and even though stores ...
Price dispersion and inflation: new facts and theoretical implications
From a macroeconomic perspective, price rigidity is often perceived to be an important source of price dispersion, with significant implications for the dynamic properties of aggregate variables, welfare calculations, and the design of optimal policy. For instance, in standard New Keynesian models, the key cost of business cycles stems from the price dispersion resulting from firms' inability to adjust prices instantaneously. However, different macroeconomic models make conflicting predictions about the level of price dispersion, as well as about its dynamic properties and sensitivity to ...