Ryan Monarch

'It's Not You, It's Me': Breakups in U.S.-China Trade Relationships

Costs to switching suppliers can affect prices by discouraging buyer movements from high to low cost sellers. This paper uses confidential U.S. Customs data on U.S. importers and their Chinese exporters to investigate these costs. I find considerable barriers to supply chain adjustments: 45% of arm’s-length importers keep their partner, and one-third of switching importers remain in the same city. Guided by these regularities, I propose and structurally estimate a dynamic discrete exporter choice model. Cost estimates are large and heterogeneous across products. These costs matter for trade prices: halving switching costs reduces the U.S.- China Import Price Index by 14.7%.

Gains from Offshoring? Evidence from U.S. Microdata

We construct a new linked data set with over one thousand offshoring events by matching Trade Adjustment Assistance program petition data to confidential data on U.S. firm operations. We exploit these data to assess how offshoring affects domestic firm-level aggregate employment, output, wages and productivity. Consistent with heterogenous firm models where offshoring involves a fixed cost, we find that the average offshoring firm is larger and more productive than the average non-offshorer. After initiating offshoring, firms experience large declines in employment (46.2 per cent), output (38.5 per cent) and capital (28.8 per cent) relative to their industry peers. We find no significant change in average wages or in total factor productivity measures for offshoring firms. These results are consistent across two separate difference-in-differences (DID) approaches, an instrumental variables approach, and a number of robustness checks. Thus, we find offshoring to be a strong substitute for domestic activity in this large sample of offshoring events.

Learning and the Value of Relationships in International Trade

How valuable are long-term supplier relationships? To address this question, this paper explores relationships between U.S. importers and their suppliers abroad. We first establish several facts: almost half of U.S. imports are in relationships three years or older, relationship survival and traded quantity increase as a relationship ages, and long-term relationships were more resilient in the 2008/9 financial crisis. Based on these findings, we present a model of importer learning and calibrate it using our data. We estimate large differences in the value of relationships across countries. Counterfactuals show that relationships are central to trade flows following external shocks.

Learning and the Value of Trade Relationships

This paper quantifies the value of importer-exporter relationships. We show that almost 80 percent of U.S. imports take place in pre-existing relationships, with sizable heterogeneity across countries, and show that traded quantities and survival increase as relationships age. We develop a two-country general equilibrium trade model with learning that is consistent with these facts. A model-based measure of relationship value explains survival during the 2008-09 crisis. Knowledge accumulated within long-term relationships is quantitatively important: wiping out all memory from previous interactions, on average, reduces consumption by 5 percent on impact and by 48 percent over the transition back to steady state.

Distributional Consequences of Trade for U.S. Consumers : Estimating Group-Specific Import Price Inflation

This note highlights the results of our project constructing import price indexes across different U.S. income deciles over the years 1998 to 2014.

Identifying Foreign Suppliers in U.S. Import Data

Relationships between firms and their foreign suppliers are the foundation of international trade, but data limitations and reliability concerns make studying such relationships challenging. We evaluate and enhance supplier information in U.S. import data and present new facts about importer–exporter relationships. Count of foreign exporters from U.S. import data tends to exceed those from source country data, especially from China. The pattern of U.S. imports from origin countries changes substantially by tracing trade back to the suppliers location instead. Related-party relationships trade more, while larger countries have more relationships.

Causes of the Global Trade Slowdown

This note analyzes the striking slowdown in world trade in recent years. After documenting key features of this slowdown, we assess its causes, including to what extent it reflects recent cyclical weakness in global growth versus underlying long-term structural shifts in the world economy.

Gains from Offshoring? Evidence from New U.S. Microdata

We construct a new linked data set with over one thousand off shoring events by matching Trade Adjustment Assistance program petition data to micro-data from the U.S. Census Bureau. We exploit this data to assess how offshoring impacts domestic firm-level aggregate employment, output, wages and productivity. A class of models predicts that more productive firms engage in offshoring, and that this leads to gains in output and (measured) productivity, and potential gains in employment and wages, in the remaining domestic activities of the offshoring firm. Consistent with these models, we find that offshoring firms are on average larger and more productive compared to non-offshorers. However, we fi nd that offshorers suffer from a large decline in employment (32 percent) and output (28 percent) relative to their peers even in the long run. Further, we find no significant change in average wages or in total factor productivity measures at affected firms. We find these results robust to a variety of checks. Thus we find no evidence for positive spillovers to the remaining domestic activity of firms in this large sample of offshoring events.