This paper estimates a dynamic structural model of a producer's decision to invest in R&D and export, allowing both choices to endogenously affect the future path of productivity. Using plant-level data for the Taiwanese electronics industry, both activities are found to have a positive effect on the plant's future productivity. This in turn drives more plants to self-select into both activities, contributing to further productivity gains. Simulations of an expansion of the export market are shown to increase both exporting and R&D investment and generate a gradual within-plant productivity improvement.

We present a laboratory experiment that measures the effects of induced group identity on social preferences. We find that when participants are matched with an ingroup member, they show a 47 percent increase in charity concerns and a 93 percent decrease in envy. Likewise, participants are 19 percent more likely to reward an ingroup match for good behavior, but 13 percent less likely to punish an ingroup match for misbehavior. Furthermore, participants are significantly more likely to choose social-welfare-maximizing actions when matched with an ingroup member. All results are consistent with the hypothesis that participants are more altruistic toward an ingroup match.

A large empirical literature has documented that firm-level differences in productivity, size, ownership status, and other characteristics are crucial to understanding differences in firms’ decisions to export. The evidence strongly supports the self-selection of more productive firms into export markets, but there has been more mixed evidence on the subsequent feedback effects of exporting on the future path of firm productivity. Several recent papers have introduced a new dimension into this export-productivity relationship: firm-level investments in productivity-enhancing activities such as R&D. James A. Costantini and Marc J. Melitz (2007), Alla Lileeva and Daniel Trefler (2007), and Paula Bustos (2006) explore the linkages between investments in innovation, productivity, and the decision to export in the context of the liberalization of trade regimes. Aw, Roberts, and Tor Winston (2007) have also found a significant role for firm R&D investments in explaining Taiwanese firm export patterns, as well as interaction effects between firm R&D and export choices in explaining productivity change. In this paper we summarize some empirical results from our research project to develop an estimable structural model of the joint exportinvestment decision. In the theoretical model, firms invest in R&D and physical capital, which can affect the path of future productivity for the firm. R&D investment, through its effect on future productivity, increases the profits from exporting, and participation in the export market raises the return to R&D investments. The theoretical model yields equations for the policy functions for R&D investment, physical investment, and the exporting decision, as well as the evolution of firm-level profitability, that can be estimated with micro datasets containing R&D Investments, Exporting, and the Evolution of Firm Productivity

We study the influence of multi-sector conglomerate firms on sectoral comovement. Using an innovative network model of firms and industries, we derive a novel measure of the co-concentration of industries in which two industries are more co-concentrated if they share greater exposure to the same conglomerate firms. Using time-series, cross-sectional, and longitudinal tests on establishment-level data from nearly all US firms over 1991 to 2019, we find that industries with higher co-concentration exhibit stronger comovement in employment, sales, and asset growth. Controlling for alternative explanations, a one-standard deviation increase in co-concentration corresponds to a 0.32-standard deviation increase in the comovement of employment growth. In variance-covariance decompositions, we find that firm-specific shocks explain nearly half of aggregate volatility and industry comovement and that conglomerates play a significant role in sectoral comovement. Our framework helps explain how idiosyncratic, firm-level shocks contribute to aggregate fluctuations and influence business cycles.

Using holdings data on a representative sample of all Shanghai Stock Exchange investors, we show that increases in ownership breadth (the fraction of market participants who own a stock) predict low returns: highest change quintile stocks underperform lowest quintile stocks by 23% per year. Small retail investors drive this result. Retail ownership breadth increases appear to be correlated with overpricing. Among institutional investors, however, the opposite holds: stocks in the top decile of wealth-weighted institutional breadth change outperform the bottom decile by 8% per year, consistent with prior work that interprets breadth as a measure of short-sales constraints.

An abundance of evidence relates facial width-to-height ratio (fWHR) to masculine behaviors in males. We show that hedge funds operated by high-fWHR managers underperform those operated by low-fWHR managers, bear greater downside risk, are more susceptible to fire sales, and fail more often. High-fWHR managers compensate for their underperformance by marketing their funds more aggressively, thereby garnering higher flows and fee revenues. By exploiting major personal events that shape testosterone, namely marriage and fatherhood, we trace the biological mechanism underlying the relation between fWHR and investment performance to circulating testosterone. Our findings are robust and extend to equity mutual funds.

We provide a macroeconomic theory where demand for goods has a productive role. A search friction prevents perfect matching between producers and potential customers. Larger demand induces more search, which, in turn, increases GDP and measured total factor productivity (TFP). We embed the product-market friction in a standard neoclassical model and estimate it using Bayesian techniques. Business cycles are driven by preference shocks, true technology shocks, and investment-specific shocks. Preference shocks have qualitatively similar effects as true productivity shocks. These shocks account for a large share of the fluctuations in consumption, GDP, and measured TFP and can be identified using shopping time data.

This article analyses the implications of money illusion for investor behaviour and asset prices in a securities market economy with inflationary fluctuations. We provide a belief-based formulation of money illusion which accounts for the systematic mistakes in evaluating real and nominal quantities. The impact of money illusion on security prices and their dynamics is demonstrated to be considerable even though its welfare cost on investors is small in typical environments. A money-illusioned investor's real consumption is shown to generally depend on the price level, and specifically to decrease in the price level. A general-equilibrium analysis in the presence of money illusion generates implications that are consistent with several empirical regularities. In particular, the real bond yields and dividend price ratios are positively related to expected inflation, the real short rate is negatively correlated with realized inflation, and money illusion may induce predictability and excess volatility in stock returns. The basic analysis is generalized to incorporate heterogeneous investors with differing degrees of illusion.

We apply recent econometric advances to study the distribution of commuters' preferences for speedy and reliable highway travel. Our analysis applies mixed logit to combined revealed and stated preference data on commuter choices of whether to pay a toll for congestion-free express travel. We find that motorists exhibit high values of travel time and reliability, and substantial heterogeneity in those values. We suggest that road pricing policies designed to cater to such varying preferences can improve efficiency and reduce the disparity of welfare impacts compared with recent pricing experiments.