Exchange rate sensitivity of US bilateral trade flows

The traditional way of assessing the impact of currency depreciation on the trade balance has been to estimate the elasticity of trade volume to relative prices. To this end, most previous studies used aggregate trade data. To avoid aggregation biases potentially hidden in aggregate data, recent studies have relied on bilateral trade data. Since import and export price data is not available on bilateral level, this study proposes an alternative way of assessing the impact of currency depreciation on bilateral trade flows. The models are applied between the US and her 19 industrial trading partners using recent advances in time-series modeling.     

S‐curve Dynamics of Trade in Africa*

Abstract: Two concepts summarize the short‐run relationship between the trade balance and the terms of trade or the real exchange rate, the old concept known as the J‐curve and a new concept that comes under the heading of the S‐curve. The S‐curve introduced in 1994 basically claims that while the cross‐correlation between past value of the trade balance and current value of the exchange rate is negative, the correlation is positive between the future value of trade balance and the current value of the exchange rate. In this paper we investigated the experiences of 20 African nations and found support for the S‐curve in eight of them.     

Bilateral S-curve between Japan and her trading partners

The cross-correlation function between terms of trade and trade balance has been found to resemble a pattern that is labeled the S-curve. This pattern has received weak support in some developed and less developed countries when aggregate trade data are used. Empirical regularities based on aggregate trade data may be biased since aggregation can potentially suppress some of patterns observed in trade at the bilateral levels. We try to overcome this problem by employing bilateral trade data for Japan and find strong support for the S-curve between Japan and many of her trading partners.     

S-Curve at the industry level: evidence from US–UK commodity trade

Backus et al. in (Am Econ Rev 84(1): 84–103, 1994) found that the cross-correlation function between terms of trade and trade balance resembles the letter S and labeled it the S-curve. Support for S-curve is rather weak in some cases, most notably US when aggregate trade data are used. Empirical regularities based on aggregate trade data may suffer from a potential bias stemming from aggregation. Indeed, by employing US bilateral trade data excellent support for the S-curve is recovered. The support, however, was rather weak at the level of US–UK bilateral trade. Suspecting aggregation bias again, we employ US–UK trade data at the industry level and find overwhelming support for the S-curve. Furthermore, commodity attributes play no role. Valuable comments of an anonymous referee are greatly appreciated. Any error, however, is ours.     

S-curve dynamics of trade between Sweden and her trading partners

The S-curve sums up the dynamic relationship between terms of trade and trade balance. This pattern has received weak support in some developed and less developed countries when aggregate trade data are used. Empirical regularities based on aggregate trade data can be biased since aggregation can potentially suppress some of the patterns observed in trade at the bilateral level. This paper overcomes this problem by employing bilateral trade data from Sweden and finds that the S-curve is invariant to this level of disaggregation. Indeed, Sweden has a bilateral S-curve with 12 out of 17 cases examined for the 1980Q1–2005Q1 period.     

S-Curve at the Commodity Level: Evidence from US-India Trade

The short-run response of the trade balance to changes in the terms of trade or the real exchange rate comes under the heading of the “J-Curve” or the “S-Curve.” While the J-Curve is mostly investigated through regression analysis, the S-Curve is based on the cross-correlation function between the terms of trade and the trade balance. Previous research has shown that in a country where support for any of the two curves is weak, disaggregation of the trade data helps discover more evidence of either curve. This article adds to the literature by considering the experience of India. We demonstrate that once the trade data between India and the United States is disaggregated by commodity, there is evidence of the S-curve in most industries that trade between the two countries. Out of total of 27 industries that constitute about 70% of trade, there are 15 that support the S-Curve.     

The J-Curve: a literature review

Due to lag structure, currency devaluation is said to worsen the trade balance first and improve it later resulting in a pattern that resemble the letter J, hence the J-Curve phenomenon. Since its introduction by Magee in 1973 Magee, SP. 1973. Currency contracts, pass through and devaluation. Brooking Papers on Economic Activity, 1: 303–25.   (Brooking Papers on Economic Activity, 1, pp. 303–25), a large number of studies have attempted to test the phenomenon using different techniques and different model specifications. The results are at best ambiguous and deserve to be collected together for the future generation of researchers and graduate students. This paper fills such a vacuum in the literature by reviewing the J-Curve related empirical papers.     

Demand for World Bank lending

This paper attempts to quantify the relevance of crisis lending in IBRD and IDA lending commitments. It finds that IBRD and IDA lending commitments are positively related to an increase in debt service payments and inversely related to the level of reserves of the borrowing country. These two variables explain a large part of the variation in IBRD and IDA lending commitments – adjustment lending as well as project lending – not only since the Asian crisis, but also during tranquil times over the last two decades. This finding implies that bridging the financing gap has been an important factor affecting developing countries’ decision to seek financial help from the Bank. While borrowing for servicing debt during a crisis is consistent with the World Bank's goal of poverty reduction and assisting countries without access to financial markets, such borrowing during tranquil times may conflict with these goals.     

The S‐curve Dynamics of US Bilateral Trade*

A few studies in dynamic general‐equilibrium setting have argued that the trade balance is negatively correlated with current and future movements in the terms of trade but positively correlated with past movements, hence the S‐curve phenomenon. Using aggregate trade data and the terms of trade has not provided strong empirical counterpart. However, in this paper, when we disaggregate the trade data between the US and her trading partners we find stronger results in support of the S‐curve.