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We construct a growth model consistent with China's economic transition: high output growth, sustained returns on capital, reallocation within the manufacturing sector, and a large trade surplus. Entrepreneurial firms use more productive technologies, but due to financial imperfections they must finance investments through internal savings. State-owned firms have low productivity but survive because of better access to credit markets. High-productivity firms outgrow low-productivity firms if entrepreneurs have sufficiently high savings. The downsizing of financially integrated firms forces domestic savings to be invested abroad, generating a foreign surplus. A calibrated version of the theory accounts quantitatively for China's economic transition.

This paper builds a framework for the analysis of macroeconomic fluctuations that incorporates the endogenous determination of the number of producers and products over the business cycle. Economic expansions induce higher entry rates by prospective entrants subject to sunk investment costs. The sluggish response of the number of producers generates a new and potentially important endogenous propagation mechanism for business cycle models. The return to investment determines household saving decisions, producer entry, and the allocation of labor across sectors. Our framework replicates several features of business cycles and predicts procyclical profits even for preference specifications that imply countercyclical markups.

This paper provides a unified framework for quantifying the cross-country and cross-sector interactions among trade, innovation, and knowledge diffusion. This framework is used to study the effect of trade liberalization in an endogenous growth model in which comparative advantage and the stock of knowledge are determined by innovation and diffusion. The model is calibrated to match observed cross-country and cross-sector heterogeneity in production, innovation efficiency, and knowledge spillovers. The counterfactual analysis shows that a reduction in trade costs induces a reallocation of R&D and comparative advantage across sectors. Heterogeneous knowledge diffusion amplifies the specialization effects of trade-induced R&D reallocation, becoming an important source of welfare.

We develop a trade model with correlation in productivity across countries. The model spans the full class of generalized extreme value import demand systems and implies that countries with relatively dissimilar technology gain more from trade. In the context of a multisector trade model, we provide a tractable and flexible estimation procedure for correlation based on compressing highly disaggregate sectoral data into a few latent factors related to technology classes. We estimate significant heterogeneity in correlation across sectors and countries, which leads to quantitative predictions that are significantly different from estimates of models assuming independent productivity across sectors or countries.

We propose a model in which investors may choose to acquire costly information that identifies good assets and purchase these assets in opaque (OTC) markets. Uninformed investors access an asset pool that has been cream-skimmed by informed investors. When the quality composition of assets for sale is fixed, there is too much information acquisition and the financial industry extracts excessive rents. In the presence of moral hazard in origination, the social value of information varies inversely with information acquisition. Low quality origination is associated with large rents in the financial sector. Equilibrium acquisition of information is generically inefficient.

We show empirically that high-risk sectors, which contribute strongly to aggregate productivity growth, are relatively small and have relatively low productivity growth in countries with strict employment protection legislation (EPL). To understand these findings, we develop a two-sector matching model where firms endogenously choose between a safe technology and a risky technology. For firms that have chosen the risky technology, EPL raises the costs of shedding workers in case they receive a low productivity draw. According to our calibrated model, high-EPL countries benefit less from the arrival of new risky technologies than low-EPL countries. Parameters estimated through reduced-form regressions of employment and productivity on exit costs, riskiness, and in particular their interaction are qualitatively similar for actual cross-country data and simulated model data. Our model is consistent with the slowdown in productivity in the European Union relative to the United States since the mid-1990s.

We study the distributional consequences of trade in a world with two industries and two heterogeneous factors of production. Productivity in each production unit reflects the ability of the manager and the abilities of the workers, with complementarity between the two.We begin by examining the forces that govern the sorting of worker and manager types to industries and the matching of workers and managers within industries. We then consider how changes in relative output prices generated by changes in the trading environment affect sorting, matching, and the distributions of wages and salaries.

We assess how the properties of technology affect structural transformation, i.e., the reallocation of production factors across the broad sectors of agriculture, manufacturing, and services. To this end, we estimate sectoral constant elasticity of substitution (CES) and Cobb-Douglas production functions on postwar US data. We find that differences in technical progress across the three sectors are the dominant force behind structural transformation whereas other differences across sectoral technology are of second-order importance. Our findings imply that Cobb-Douglas sectoral production functions that differ only in technical progress capture the main technological forces behind the postwar US structural transformation.

Why do value stocks have higher average returns than growth stocks, despite having lower risk? Why do these stocks exhibit positive abnormal performance, while growth stocks exhibit negative abnormal performance? This paper offers a rare-event-based explanation that can also account for the high equity premium and volatility of the aggregate market. The model explains other puzzling aspects of the data, such as joint patterns in time-series predictablity of aggregate market and value and growth returns, long periods in which growth outperforms value, and the association between positive skewness and low realized returns.

We study the importance of input-output (IO) linkages and sectoral productivity (TFP) in determining cross-country income differences. We find that while highly connected sectors are more productive than the typical sector in poor countries, the opposite is true in rich ones. To assess the quantitative role of linkages and sectoral TFP differences in cross-country income differences, we decompose cross-country income variation using a multisector general equilibrium model. We find that IO linkages substantially amplify fundamental sectoral TFP variation, but this amplification is significantly weaker than the one suggested by a simple IO model with an aggregate intermediate good.