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.     

Exchange rate sensitivity of commodity flows between the Philippines and the US

Previous studies that tried to assess the impact of exchange rate changes on the inpayments and outpayments of a country used aggregate trade flows between two countries. They are said to suffer from aggregation bias, and disaggregation by industry is recommended. In this paper, we consider response to exchange rate changes of export earnings (inpayments) of 133 industries that export from the US to the Philippines (Philippines’ importing industries) and outpayments of 65 US industries (Philippines exporting industries) that import from the Philippines using annual data over the period 1973–2012. While in most industries exchange rate changes had significant effects in the short run, the short-run effects did not last into the long run in most industries. Economic activity played more role in the long run than the exchange rate.     

Re-testing Prebisch–Singer hypothesis: new evidence using Fourier quantile unit root test

The Prebisch–Singer hypothesis in economics asserts that over time the relative price of primary goods relative to manufactured goods should experience a downward trend. To test the hypothesis, we must first establish the unit root properties of the relative price term and then regress the stationary series on a trend term. We use the quantile unit root test which allows for both smooth unknown numbers and the form of breaks in the trend function through a Fourier function to show that the relative price of 23 out of 24 primary goods is stationary. However, the Prebisch–Singer hypothesis is supported only in half of the primary commodities.     

Policy Uncertainty and the Demand for Money in Korea: An Asymmetry Analysis

Previous studies included money supply volatility as well as output volatility as measures of uncertainty in estimating the demand for money. However, a more comprehensive measure of uncertainty is now constructed for many countries and is known as policy uncertainty. When we included this new measure in the formulation of the demand for money in Korea and relied upon a nonlinear specification of the money demand which allows us to assess the asymmetric effects of changes in the policy uncertainty measure, we found asymmetric long-run effects of policy uncertainty on the demand for cash in Korea. Our conjecture is that increased uncertainty induces Koreans to hold less cash in favor of safer assets and decreased uncertainty has opposite effects, though at different rate.     

Testing hysteresis effect in U.S. state unemployment: new evidence using a nonlinear quantile unit root test

We revisit hysteresis effect in the unemployment rate of each of the 52 states of the United States using nonlinear quantile unit root test over the period 1976M1–2016M7. Our results indicate that unemployment rate of the U.S. economy as a whole displays hysteresis effect over recessionary periods. Nineteen out of 52 states display hysteresis behaviour over the period 1976–2016. For the remaining 33 states, we find four types of behaviours. Some states display stationarity behaviour almost in all quantiles. Some display hysteresis over recessionary periods and in contrast some display hysteresis over expansion period.     

The J-curve: evidence from commodity trade between US and China

In testing the short-run (J-curve effect) and the long-run effects of currency depreciation on the trade balance many researchers have used either trade data between one country and the rest of the world or between one country and another trading partner. Both groups are said to suffer from aggregation bias. To reduce the bias, in this article we consider trade data between one country (the US) and her trading partner (China) disaggregated by commodity. We use imports and exports of 88 industries (2-digit and 3-digit classifications) and cointegration analysis to show that the trade balance of at least 34 of the industries react favourably to real depreciation of the dollar. The J-curve effect is detected in 22 industries. Furthermore, most of these industries that are sensitive to currency depreciation are durable commodity groupings.     

Impulse response analysis and Orcutt’s hypothesis in trade: evidence from developing countries

Orcutt’s hypothesis in international economics implies that trade flows respond to exchange rate changes faster than to changes in relative prices. Most previous studies used import and export demand models and tested the hypothesis by imposing and comparing lag lengths on the exchange rate and relative prices. One recent study, however, employed impulse response of trade flows to one SD shock to the nominal exchange rate and one SD shock to relative prices and tested the Orcutt’s hypothesis for several industrial countries. In this article we follow this study and test the hypothesis for six developing countries using impulse response analysis. Like the other study for industrial countries, we do not find much support for the hypothesis.     

Exchange-rate variability and U.S.-French trade flows: evidence from industry data

Recent studies have greatly expanded the literature on the effects of exchange-rate volatility on industry-level bilateral trade flows. In this study, we examine the case of the United States and France, applying cointegration analysis to a set of 146 U.S. export and 115 U.S. import industries. We find that the majority of industries show little or no relationship between risk and trade volumes, but that small industries—particularly for exports—show more sensitivity than do large ones. A disproportionate share of industries respond positively to increased volatility, particularly among U.S. importers, suggesting the presence of “risk loving” behavior.     

U.S.-Africa trade balance and the J-curve: An asymmetry analysis

ABSTRACT

For the first time in the body of literature, we consider bilateral trade balance models of the US with each of her 20 trading partners from Africa and try to assess the J-curve phenomenon. After applying the linear and nonlinear ARDL approaches, we find support for the J-curve effect in three partners from the linear models. However, support rises to eight partners when we shift to nonlinear models. Furthermore, we find short-run asymmetric effects of exchange rate changes in almost all models and significant long-run asymmetric effects in half of the partners.