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Price formation in the domestic market has not been widely studied in spite of the importance of the Italian wine market in terms of sales. We use a unique dataset to estimate the hedonic price function for Italian wine sold on the Italian market in the period 2005–2011. For each bottle considered, the dataset records several characteristics such as the price by retail channel (on the mass market and in wine shops), label characteristics, chemical analysis, sensory evaluations and experts’ opinions. The objective of the analysis is to examine price setting on the mass market and in wine shops and to explore the differences in price formation for red and white wines. Our results have been obtained using an innovative technique that consists of combining hedonic price techniques with dimensionality reduction tools.

This paper presents a model in which price setting firms decide what to pay attention to, subject to a constraint on information flow. When idiosyncratic conditions are more variable or more important than aggregate conditions, firms pay more attention to idiosyncratic conditions than to aggregate conditions. When we calibrate the model to match the large average absolute size of price changes observed in micro data, prices react fast and by large amounts to idiosyncratic shocks, but only slowly and by small amounts to nominal shocks. Nominal shocks have strong and persistent real effects.

Golosov and Lucas recently argued that a menu-cost model, when made consistent with salient features of the microdata, predicts approximate monetary neutrality. I argue here that their model misses, in fact, two important features of the data. First, the distribution of the size of price changes in the data is very dispersed. Second, in the data many price changes are temporary. I study an extension of the simple menu-cost model to a multiproduct setting in which firms face economies of scope in adjusting posted and regular prices. The model, because of its ability to replicate this additional set of microeconomic facts, predicts real effects of monetary policy shocks that are much greater than those in Golosov and Lucas and nearly as large as those in the Calvo model. Although episodes of sales account for roughly 40% of all goods sold in retail stores, the model predicts that these episodes do not contribute much to the flexibility of the aggregate price level.

We show that the compensation for rare events accounts for a large fraction of the average equity and variance risk premia. Exploiting the special structure of the jump tails and the pricing thereof, we identify and estimate a new Investor Fears index. The index reveals large time-varying compensation for fears of disasters. Our empirical investigations involve new extreme value theory approximations and high-frequency intraday data for estimating the expected jump tails under the statistical probability measure, and short maturity out-of-the-money options and new model-free implied variation measures for estimating the corresponding risk-neutral expectations.

We propose and test a catering theory of nominal stock prices. The theory predicts that when investors place higher valuations on low-price firms, managers respond by supplying shares at lower price levels, and vice versa. We confirm these predictions in time-series and firm-level data using several measures of time-varying catering incentives. More generally, the results provide unusually clean evidence that catering influences corporate decisions, because the process of targeting nominal share prices is not well explained by alternative theories.

Campbell, Lettau, Malkiel, and Xu (2001) document a positive trend in idiosyncratic volatility during the 1962-1997 period. We show that by 2003 volatility falls back to pre-1990s levels. Furthermore, we show that the increase and subsequent reversal is concentrated among firms with low stock prices and high retail ownership. This evidence suggests that the increase in idiosyncratic volatility through the 1990s was not a time trend but, rather, an episodic phenomenon, at least partially associated with retail investors. Results from cross-sectional regressions, conditional trend estimation, stock-split events, and \"attentiongrabbing\" events are consistent with a retail trading effect.

Recent theoretical work has suggested a number of potentially important factors in causing incomplete pass-through of exchange rates to prices, including markup adjustment, local costs and barriers to price adjustment. We empirically analyse the determinants of incomplete pass-through in the coffee industry. The observed pass-through in this industry replicates key features of pass-through documented in aggregate data: prices respond sluggishly and incompletely to changes in costs. We use microdata on sales and prices to uncover the role of markup adjustment, local costs and barriers to price adjustment in determining incomplete pass-through using a structural oligopoly model that nests all three potential factors. The implied pricing model explains the main dynamic features of short and long-run pass-through. Local costs reduce long-run pass-through (after six quarters) by 59% relative to a Constant Elasticity of Substitution benchmark. Markup adjustment reduces pass-through by an additional 33%, where the extent of markup adjustment depends on the estimated \"super-elasticity\" of demand. The estimated menu costs are small (0.23% of revenue) and have a negligible effect on long-run pass-through but are quantitatively successful in explaining the delayed response of prices to costs. We find that delayed pass-through in the coffee industry occurs almost entirely at the wholesale rather than the retail level.

Poor countries are more volatile than rich countries, and this volatility impedes their growth. Furthermore, commodity prices are a key source of that volatility. This paper explores price volatility since 1700 to offer three stylized facts: commodity price volatility has not increased over time, commodities have always shown greater price volatility than manufactures, and world market integration breeds less commodity price volatility. Thus, economic isolation is associated with much greater commodity price volatility, while world market integration is associated with less.

Are there important cyclical fluctuations in bond market premiums and, if so, with what macroeconomic aggregates do these premiums vary? We use the methodology of dynamic factor analysis for large datasets to investigate possible empirical linkages between forecastable variation in excess bond returns and macroeconomic fundamentals. We find that \"real\" and \"inflation\" factors have important forecasting power for future excess returns on U. S. government bonds, above and beyond the predictive power contained in forward rates and yield spreads. This behavior is ruled out by commonly employed affine term structure models where the forecastability of bond returns and bond yields is completely summarized by the cross-section of yields or forward rates. An important implication of these findings is that the cyclical behavior of estimated risk premia in both returns and long-term yields depends importantly on whether the information in macroeconomic factors is included in forecasts of excess bond returns. Without the macro factors, risk premia appear virtually acyclical, whereas with the estimated factors risk premia have a marked countercyclical component, consistent with theories that imply investors must be compensated for risks associated with macroeconomic activity.

Biofuels and biochemicals play significant roles in the transition towards a fossil-free society. However, large-scale biorefineries are not yet cost-competitive with their fossil-fuel counterparts, and it is important to identify biorefinery concepts with high economic performance. For evaluating early-stage biorefinery concepts, one needs to consider not only the technical performance and process costs but also the economic performance of the full supply chain and the impacts on feedstock and product markets. This article presents and demonstrates a conceptual interdisciplinary framework that can constitute the basis for evaluations of the full supply-chain performance of biorefinery concepts. This framework considers the competition for biomass across sectors, assumes exogenous end-use product demand, and incorporates various geographical and technical constraints. The framework is demonstrated empirically through a case study of a sawmill-integrated biorefinery producing liquefied biomethane from forestry and forest industry residues. The case study results illustrate that acknowledging biomass market effects in the supply chain evaluation implies changes in both biomass prices and the allocation of biomass across sectors. The proposed framework should facilitate the identification of biorefinery concepts with a high economic performance which are robust to feedstock price changes caused by the increase in biomass demand.