Asymmetric response of the US–India trade balance to exchange rate changes: Evidence from 68 industries

The relationship between the trade balance and the exchange rate continues to attract attention by international economists and has entered into new territory, mostly due to advances in econometric methods. The introduction of asymmetric error‐correction modelling and asymmetric cointegration using the nonlinear ARDL approach of Shin et al. (Festschrift in Honor of Peter Schmidt: Econometric methods and applications, Springer, 2014, 281) as compared to the symmetric and linear ARDL approach of Pesaran et al. (Journal of Applied Econometrics, 2001, 16, 289) has led us in a new direction to discover relatively better results. We apply these methods to the bilateral trade balance model of each of the 68 industries that trade between India and the USA. The nonlinear approach not only provides more support to the J‐curve effect, but also yields support in favour of short‐run and long‐run asymmetric effects of exchange rate changes in most of the industries.     

On the impact of financial development on income distribution: time-series evidence

Financial market development is said to have equalizing or unequalizing effects on income distribution. Previous research used cross-sectional and panel data and provided mixed results. Suspecting that they suffer from aggregation bias, we adhere to time-series data and error-correction modeling technique and address the issue one more time in each of the 17 countries for which we have time-series data. In 10 counties, short-run effects of financial market development on income distribution were found to be equalizing. In five countries, the effects were unequalizing. However, the equalizing effects lasted into the long run only in three countries of Denmark, Kenya and Turkey.     

Currency fluctuations and the French–U.S. trade balance: evidence from 118 industries

The impact of currency depreciations on trade has inspired a large body of research. Recent studies have examined industry-level trade, often using cointegration analysis, finding that a significant fraction of industries respond positively to devaluations. Oftentimes, adjustment lags result in a “J curve” effect, where devaluations hurt the trade balance temporarily. This study examines the specific case of trade between the United States and France, but finds that these flows are less sensitive than has been shown for other country pairs. Only 30 of 118 industries see increased trade balances after a dollar depreciation, and virtually none follow any type of a “J curve.” Certain industry sectors are more sensitive than others, however. Examining the SITC classifications of those 30 industries, we find that many of them are clustered in the SITC 700 (Machinery and Transport Equipment) and 800 (Miscellaneous Manufactured Articles) categories. In particular, clothing and footwear, as well as electrical equipment, are particularly affected.     

Brand Personality and Emotional Attitudes: The Case of Mobile Telephone Operators

ABSTRACT

As part of a brand image, brand personality has aroused for years the interest of scholars and marketers. This article examines this concept in the case of two mobile telephone operators in Tunisia (North Africa). An empirical investigation, based on a sample of 272 students, has shown that brand personality influences and above all is influenced by emotional attitudes within consumers. At a managerial level, this study sheds light on the main brand personality traits (agreeableness, conscientiousness, sophistication, and youth) that make successful product differentiation and communication strategies. An emotion-oriented approach is also indicated as a salient branding management key of success.     

The J-Curve: Evidence from Industry-Level Data Between the U.S. and Indonesia

Empirical studies on the impact of currency devaluation or depreciation on the trade balance still continue to occupy the literature. These studies have evolved from using aggregate to disaggregated data. The findings, however, have been mixed. Previous research using aggregate trade flows of Indonesia with the rest of the world or bilateral data between Indonesia and the U.S. as one of its major trading partners found no significant relation between rupiah-dollar rate and Indonesia’s bilateral trade balances. In this article, we disaggregate the trade flows between Indonesia and the U.S. by commodity and show that the trade balances of at least nine out of 23 industries react to exchange rate changes favorably in the long run.     

Exchange Rate Risk and Commodity Trade Between the U.S. and India

Floating exchange rates are said to introduce volatility into the foreign exchange market that could deter trade flows. Previous research employed aggregate import and export trade data and provided mixed results. In this paper we disaggregate the trade data between the U.S. and the emerging economy of India and use the bounds testing approach to cointegration and error-correction modeling to show that in 40 industries that trade between the two countries, exchange rate volatility has negative and positive effects in 40% of industries, in the short run. These short-run effects, however, do not last into the long run in many cases.

Whose policy uncertainty affects commodity trade between Australia and the United States?

Recent studies are assessing the impact of news-based policy uncertainty measure on trade flows between countries. In this paper we add to this new literature by investigating the symmetric and asymmetric effects of Australian policy uncertainty index and the U.S. index on trade flows of 63 two-digit industries that trade between the two countries. When we estimated a symmetric and linear model for each industry, we found short-run effects of both uncertainty measures on 30% of the industries' trade flows. However, this number increased to 70% when an asymmetric and nonlinear model was estimated. The long-run effects of both policy uncertainty followed similar pattern. Less than 10% of trade was affected by the estimates of the linear models. However, estimates of the nonlinear models predicted that 41.20% (26.53%) of the U.S. exports to Australia was affected by the U.S. uncertainty (Australian uncertainty). As for the Australian exports to the United States, 6.72% (5.5%) of its exports were affected by the changes in the U.S. policy uncertainty (Australian uncertainty). In almost all industries, increased uncertainty was found to hurt the trade and decreased uncertainty was found to boost it at different rate or asymmetrically. In sum, the U.S. and Australian policy uncertainty measure affects U.S. exports to Australia much more than they affect Australian exports to the United States.     

Cointegration Approach to Estimating Bilateral Trade Elasticities Between U.S. and Her Trading Partners

Almost all previous authors who estimated the trade elasticities relied upon aggregate trade data. To avoid the aggregation bias, this paper provides estimates of trade elasticities using bilateral data between the United States and her six largest trading partners. Application of cointegration analysis reveals that in many cases, bilateral trade elasticities are large enough to justify real depreciation of the dollar as a mean of improving U.S. trade balance.[F14]     

Real and nominal effective exchange rates in MENA countries: 1970–2004

The main purposes of this article are 3-fold. First, we construct measures of real and nominal effective exchange rates for 14 Middle East and North African countries over the 1970–2004 period. Second, we test the validity of the Purchasing Power Parity (PPP) by applying the ADF and KPSS tests to the real effective exchange rates. Finally, we employ the bounds testing approach to cointegration and error-correction modelling to show that nominal devaluation leads to real devaluation in the short-run as well as in the long-run in many of the countries.     

Is PPP sensitive to time-varying trade weights in constructing real effective exchange rates?

While the use of real effective exchange rates in stationarity tests of purchasing power parity (PPP) avoids the problems created using bilateral rates, these rates are often constructed using trade shares that are fixed at a single base year. This method fails to take into account the fact that trade shares can change drastically in parts of the world that are undergoing dramatic transformations. In this study, we apply linear as well as nonlinear stationarity tests to 52 currencies’ real effective rates, which were constructed using time-varying weights. Incorporating a time trend, we are also able to assess whether breakdowns in PPP are due to productivity differentials. We find that while nonlinear tests provide more evidence of “productivity bias” than do linear tests, they do not provide much more evidence of PPP. A comparison to a previous study that used fixed-weight data shows that there is somewhat more evidence of productivity bias using the new dataset, especially in Eastern Europe and Asia. We can conclude that PPP and a key cause of its breakdown are somewhat sensitive to the use of time-varying weights in these stationarity tests.