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Working Paper
Bill of Lading Data in International Trade Research with an Application to the COVID-19 Pandemic
We evaluate high-frequency bill of lading data for its suitability in international trade research. These data offer many advantages over both other publicly accessible official trade data and confidential datasets, but they also have clear drawbacks. We provide a comprehensive overview for potential researchers to understand these strengths and weaknesses as these data become more widely available. Drawing on the strengths of the data, we analyze three aspects of trade during the COVID-19 pandemic. First, we show how the high-frequency data capture features of the within-month collapse ...
Report
Trade Models, Trade Elasticities, and the Gains from Trade
We argue that the welfare gains from trade in models with micro-level margins exceed those in frameworks without these margins. Theoretically, we show that for fixed trade elasticity, different models predict identical trade flows, but different patterns of microlevel price variation. Thus, given data on trade flows and micro-level prices, different models have different implied trade elasticities and welfare gains. Empirically, models with extensive or variable mark-up margins yield significantly larger welfare gains. Our trade elasticity estimates are robust over time in contrast to leading ...
Working Paper
Cyclically Adjusted Current Account Balances
The Great Financial Crisis coincided with a sizable reduction in global external imbalances, defined as the absolute value of the sum of individual country current account surpluses and deficits relative to global GDP. Although current account balances should not respond to a downturn that is uniform across countries, one that hits countries with current account deficits harder than those with surpluses might result in a decline in the global balance. This paper quantifies the cyclical portion of the current account balance for 35 countries using estimates of the severity of the cycle in each ...
Working Paper
Gains from Trade: Does Sectoral Heterogeneity Matter?
This paper assesses the quantitative importance of including sectoral heterogeneity in computing the gains from trade. Our framework draws from Caliendo and Parro (2015) and Alvarez and Lucas (2007) and has sectoral heterogeneity along five dimensions, including the elasticity of trade to trade costs, the value-added share, and the input-output structure. The key parameter we estimate is the sectoral trade elasticity, and we use the Simonovska and Waugh (2014) simulated method of moments estimator with micro price data. Our estimates range from 2.97 to 8.94, considerably lower than those ...
Working Paper
Artificial Intelligence Methods for Evaluating Global Trade Flows
International trade policies remain in the spotlight given the recent rethink on the benefits of globalization by major economies. Since trade critically affects employment, production, prices and wages, understanding and predicting future patterns of trade is a high-priority for decision making within and across countries. While traditional economic models aim to be reliable predictors, we consider the possibility that Artificial Intelligence (AI) techniques allow for better predictions and associations to inform policy decisions. Moreover, we outline contextual AI methods to decipher trade ...
Working Paper
Equilibrium Sovereign Default with Exchange Rate Depreciation
This study proposes and quantitatively assesses a terms-of-trade penalty for defaulting: defaulters must exchange more of their own goods for imports, which causes an adjustment to the equilibrium exchange rate. This penalty can take the place of an ad hoc fall in output: Facing only this penalty and temporary exclusion from debt markets, countries are willing to maintain borrowing obligations up to a realistic level of debt. The terms-of-trade penalty is consistent with the observed relationship between sovereign default and a country's trade flows and prices. The defaulter's currency ...
Report
Quantitative Trade Models: Developments and Challenges
Applied general equilibrium (AGE) models, which feature multiple countries or regions, multiple sectors, and input-output linkages across sectors in a Walrasian general equilibrium framework, have been the dominant tool for evaluating the impact of trade liberalization since the 1980s. We provide an overview of the historical development of AGE models and a guide as to how they are used to perform policy analysis. We then review and document shortcomings in the performance of AGE models in predicting the sectoral effects of past trade reforms, that is, we show that AGE models often perform ...
Working Paper
A Coherent Framework for Predicting Emerging Market Credit Spreads with Support Vector Regression
We propose a coherent framework using support vector regression (SRV) for generating and ranking a set of high quality models for predicting emerging market sovereign credit spreads. Our framework adapts a global optimization algorithm employing an hv-block cross-validation metric, pertinent for models with serially correlated economic variables, to produce robust sets of tuning parameters for SRV kernel functions. In contrast to previous approaches identifying a single "best" tuning parameter setting, a task that is pragmatically improbable to achieve in many applications, we proceed with ...
Working Paper
A Global Trade Model for the Euro Area
We propose a model for analyzing euro area trade based on the interaction between macroeconomic and trade variables. First, we show that macroeconomic variables are necessary to generate accurate short-term trade forecasts; this result can be explained by the high correlation between trade and macroeconomic variables, with the latter being released in a more timely manner. Second, the model tracks well the dynamics of trade variables conditional on the path of macroeconomic variables during the great recession; this result makes our model a reliable tool for scenario analysis. Third, we ...
Working Paper
Is China fudging its figures? Evidence from trading partner data
How reliable are China?s GDP and other data? We address this question by using trading-partner exports to China as an independent measure of its economic activity from 2000-2014. We find that the information content of Chinese GDP improves markedly after 2008. We also consider a number of plausible, non-GDP indicators of economic activity that have been identified as alternative Chinese output measures. We find that activity factors based on the first principal component of sets of indicators are substantially more informative than GDP alone. The index that best matches activity in-sample ...