NONLINEAR AUTOREGRESSIVE DISTRIBUTED LAG APPROACH AND BILATERAL J‐CURVE: INDIA VERSUS HER TRADING PARTNERS

The J‐curve studies related to India have mostly either used aggregate trade flows of India with the rest of the world or between India and its trading partners. They have all assumed exchange rate changes have symmetric effects on Indian trade balance. In this article, we use partial sum concept combined with the nonlinear autoregressive distributed lag approach of Shin et al. to show that indeed in some instances, there are evidences of asymmetry effects of currency depreciation. This new nonlinear approach provides more support for the J‐curve than the previous linear approaches. (JEL F31)     

Asymmetric Effects of Exchange Rate Changes and the J‐curve: New Evidence from 61 Malaysia–Thailand Industries

Research on the impact of currency depreciation on the trade balance is now moving in a new direction by incorporating nonlinear dynamic adjustment of the exchange rate and by using a nonlinear approach to error‐correction modeling and cointegration. Using these advances, researchers find not only more evidence of the J‐curve effect, but also new evidence of asymmetric effects of exchange rate changes on the trade balance. We contribute to this line of research by using monthly trade flow data from 61 two‐digit industries that trade between Malaysia and Thailand, and show that not only does currency depreciation have favorable effects on the trade balance of more industries, but the long‐run effects are asymmetric in 26 out of 61 cases. In line with current literature, our nonlinear model performs much better than the linear model when industry level data are used.     

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.     

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.     

Export growth and output growth: An application of bounds testing approach

The short-run and the long-run relationship between export growth and economic growth has received a great deal of attention in the literature. Cointegration techniques that have been employed by previous researchers require that the variables to be non-stationary but their linear combination to be stationary. When variables are not integrated of the same order, they are excluded from analysis. This needs not to be the case with the introduction of the bounds testing approach. Indeed, the approach does not require pre-unit-root testing. This paper applies this new method to export and output data from 44 developing countries and provides support for the export-led growth hypothesis in 60% of the countries.     

ARDL Approach to Test the Productivity Bias Hypothesis

The productivity bias hypothesis states that a relatively more productive country should experience a real appreciation of its currency. Most studies in the literature that have tested the hypothesis have employed cross‐sectional data. Only a few studies have used time‐series data and they have tested the hypothesis for only a small number of countries. In this paper the authors test the hypothesis by using time‐series data over the 1960–90 period for a sample of 44 countries and with a relatively new method of cointegration known as the ARDL approach. For most countries there is strong evidence supporting the hypothesis.     

THE J CURVE: CHINA VERSUS HER TRADING PARTNERS

The short‐run effects of currency depreciation are said to be different from its long‐run effects. In the short run, the trade balance deteriorates and improvement comes after some time; hence, the J‐curve phenomenon. Previous studies that tested the response of the trade balance to exchange rate changes in China employed aggregate trade data and provided mixed results. Indeed, most of them concluded that real depreciation has no long‐run impact on the Chinese trade balance. In this paper, we disaggregate the data by country and using recent advances in time series modelling estimate a trade balance model between China and her 13 major trading partners. We show that real depreciation of the Chinese currency has a favourable impact on her trade balance with a few partners, especially the USA. Not much support is found for the J‐curve hypothesis.     

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.