Journal of Economic

Bilateral, product-level data exhibit a number of strong patterns that can be used to evaluate international trade theories, notably the spatial incidence of “export zeros ” (correlated with distance and importer size), and of export unit values (positively related to distance). We show that leading theoretical trade models fail to explain at least some of these facts, and propose a variant of the Melitz model that can account for all the facts. In our model, high quality firms are the most competitive, with heterogeneous quality increasing with firms ’ heterogeneous cost. (JEL F11, F14, F40) The gravity equation relates bilateral trade volumes to distance and country size. Countless gravity equations have been estimated, usually with “good ” results, and trade theorists have proposed various theoretical explanations for gravity’s success. However, the many potential explanations for the success of the gravity equation make it a problematic tool for discriminating among trade models. 1 As a matter of arithmetic, the value of trade depends on the number of goods

Abstract not found

Abstract not found

New goods play a central role in many trade and growth models. We use detailed trade and firmlevel data from a large developing economy—India—to investigate the relationship between declines in trade costs, the imports of intermediate inputs and domestic firm product scope. We estimate substantial static gains from trade through access to new imported inputs. Accounting for new imported varieties lowers the import price index for intermediate goods on average by an additional 4.7 percent per year relative to conventional gains through lower prices of existing imports. Moreover, we find that lower input tariffs account on average for 31 percent of the new products introduced by domestic firms, which implies potentially large dynamic gains from trade. This expansion in firms ' product scope is driven to a large extent by international trade increasing access of firms to new input varieties rather than by simply making existing imported inputs cheaper. Hence, our findings suggest that an important consequence of the input tariff liberalization was to relax technological constraints through firms ’ access to new imported inputs that were unavailable prior to the liberalization.

Abstract not found

This paper develops an approach for quantifying the relative importance of different sources of comparative advantage for country welfare in a global trade equilibrium. To explain the pattern of specialization, I present a multi-country, perfectly-competitive Ricardian model that extends Eaton and Kortum (2002) to predict industry trade flows. In this framework, comparative advantage is determined by the interaction of country and industry characteristics, with countries specializing in industries whose specific production needs they are best able to meet with their factor endowments, institutional environment, and technological strengths. I estimate the model parameters using a large dataset of bilateral trade flows, comprising 82 countries and 20 manufacturing industries. I present results from a baseline OLS approach, and a simulated method of moments (SMM) procedure that takes into account the prevalence of zero trade flows in the data. The SMM estimates imply large average welfare gains from a hypothetical reduction in distance barriers, with developing countries benefiting substantially more than the OECD. I also examine the induced shift in industry composition when countries raise their factor endowments or improve the quality of their institutions, and quantify the welfare gains generated by such policy moves.

Barriers to international trade are known to be large but due to data limitations it is hard to measure them directly for a large number of countries over many years. To address this problem I derive a micro-founded measure of bilateral trade costs that indirectly infers trade frictions from observable trade data. I show that this trade cost measure is consistent with a broad range of leading trade theories including Ricardian and heterogeneous firms models. In an application I show that U.S. trade costs with major trading partners declined on average by about 40 percent between 1970 and 2000, with Mexico and Canada experiencing the biggest reductions.

Abstract. This paper provides firm-level evidence that credit constraints restrict international trade flows and affect the pattern of foreign direct investment. Using detailed data from China, we show that foreign-owned firms and joint ventures have better export performance than private domestic firms, and this advantage is systematically greater in sectors at higher levels of financial vulnerability measured in a variety of ways. This confirms that financial frictions restrict international trade and is consistent with foreign affiliates being less credit constrained because they can tap internal funding from their parent company. Our results imply that FDI can compensate for domestic financial market imperfections and alleviate their impact on aggregate growth, trade and private sector development. Credit constraints and host-country financial institutions thus offer a new explanation for the sectoral and spatial composition of MNC activity.

I develop a novel view of the trade frictions between rich and poor countries by arguing that to reconcile bilateral trade volumes and price data within a standard gravity model, the trade frictions between rich and poor countries must be systematically asymmetric, with poor countries facing higher costs to export relative to rich countries. I provide a method to model these asymmetries and demonstrate the merits of my approach relative to alternatives in the trade literature. I then argue that these trade frictions are quantitatively important to understanding the large differences in standards of living and total factor productivity across countries.