Asymmetry Effects of Exchange Rate Changes on Domestic Production: Evidence from Nonlinear ARDL Approach

Currency depreciation is said to have positive or negative effects on domestic production. Previous studies that tried to address this issue using Australian data have been inconclusive at best but mostly showed no effects. One common feature of all studies is that they have assumed that the effects of exchange rate changes are symmetric. In this paper, we use the concept of partial sum and separate appreciations from depreciations to test whether the effects are symmetric or asymmetric. Application of the nonlinear ARDL approach of Shin et al. (2014) reveals that indeed the effects of changes in the real effective exchange rate of the Australian dollar are asymmetric in the short run as well as in the long run. While in the short run both appreciations and depreciations affect Australian domestic production, only effects of appreciation last into the long run, a unique finding.     

How do school ‘report cards’ affect school choice decisions?

Abstract. We estimate the effect of information about school achievement that is disseminated to the public through websites and school ‘report cards’ on school choice decisions. We find that students are more likely to leave their school when public information reveals poor school‐level performance. Some parents’ school choice decisions respond to information soon after it becomes available. Others, including non‐English‐speaking parents, alter their school choice decisions only in response to information that has been disseminated widely and discussed in the media. Parents in low‐income neighbourhoods are most likely to alter their school choice decisions in response to new information. JEL classification: I21, D83     

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.     

Exchange‐rate volatility and US–Hong Kong industry trade: is there evidence of a ‘third country’ effect?

In an effort to better understand the determinants of trade flows worldwide, researchers have recently incorporated external volatility (in addition to that of the partners’ bilateral exchange rate) into their models. The so‐called ‘third country’ effect is present if adding this term changes the bilateral volatility estimates that are found when external volatility is omitted. This study examines US exports to Hong Kong for 143 industries, and imports from Hong Kong for 110 industries, and finds two key results. First, expected inflation due to Hong Kong's dollar peg leads to increased US exports in a large number of industries. Second, comparing our results with those of a previous study shows strong evidence of a ‘third country’ effect, especially for US imports. Nonparametric tests suggest that these effects differ by sector: for both exports and imports. Manufacturing industries that enjoy a large trade share are less likely to experience this effect once external volatility is incorporated into the analysis.     

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.     

Asymmetric effects of exchange rate changes on the Malaysia-China commodity trade

Previous research that considered the response of the trade balance between Malaysia and China to exchange rate changes used a linear model and did not find any significant long-run link. Suspecting that the results suffer from aggregation bias as well as ignoring nonlinear adjustment of the exchange rate, we consider the trade balance of 59 industries that trade between the two countries and use a nonlinear ARDL model to show that almost a third of the industries are affected by ringgit depreciation against the yuan, in an asymmetric manner. The largest industry, which accounts for more than 25% of the trade, is found to benefit from ringgit depreciation while not being hurt by appreciation. In total, 15 industries that account for 40% of the trade enjoy this property.     

Gaining from disorder: Making the case for antifragility in purchasing and supply chain management

The purchasing and supply chain management (P&SCM) discipline assumes that supply chains are fragile systems, hence taking a “negative” approach toward disorder. Building on Taleb’s concept of antifragility—the ability to gain from disorder rather than avoiding it—, we challenge this traditional assumption. The COVID-19 pandemic has revealed that some companies were indeed able to gain from disorder, whereas some of those that focused too much on robustness and resilience lost ground. Building robust and resilient supply chains may no longer be enough to thrive in today’s highly volatile business world. This article sparks a new debate by introducing antifragility to the P&SCM literature and provides new directions for future research.     

Exchange‐Rate Risk and Japanese–Thai Industry Trade

Over the past decade, many papers have studied the effects of exchange‐rate volatility on international trade, particularly at the bilateral level for large numbers of individual industries. This is necessary because the underlying theory is ambiguous and because earlier papers failed to uncover significant results at a higher degree of aggregation. This paper examines the case of Japan and Thailand over the period from 1970 to 2010. We find that slightly more than half of 117 export industries and 54 import industries are affected by volatility in the short run. In the long run, 6 export and 2 import industries are affected positively, and 22 export and 9 import industries are affected negatively. Small Japanese export industries are more likely to be negatively affected, while imports show no differences regarding industry size. In a sectoral analysis, we find some evidence that Japanese exports of manufactures and certain machinery and transport equipment might be relatively more affected by the exchange‐rate risk. Raw material imports are least affected. These findings therefore suggest which industries might benefit most by a policy promoting a stable yen.