Trade diversion effects of the US–China trade war on Vietnam

This paper empirically examines the US–China trade war that began in mid-2018, focusing on the impact on a third country, Vietnam. Using regression analysis, we found that while the trade war had a negative impact on US imports from China for all targeted products, there was a partial offset from increased imports from other countries. Notably, US imports from Vietnam experienced a sharp increase, particularly after the third round of US import tariffs on Chinese goods. Additionally, our research reveals that the four rounds of tariff escalation affected US imports from China differently depending on their end-use and technology intensity.     

On the asymmetric impact of macro–variables on volatility

We extend the GARCH–MIDAS model to take into account possible different impacts from positive and negative macroeconomic variations on financial market volatility: a Monte Carlo simulation which shows good properties of the estimator with realistic sample sizes. The empirical application is performed on the daily S&P500 volatility dynamics with the U.S. monthly industrial production and national activity index as additional (signed) determinants. We estimate the Relative Marginal Effect of macro variable movements on volatility at different lags. In the out-of-sample analysis, our proposed GARCH–MIDAS model not only statistically outperforms the competing specifications (GARCH, GJR-GARCH and GARCH–MIDAS models), but shows significant utility gains for a mean-variance investor under different risk aversion parameters. Attention to robustness is given by choosing different samples and estimating the model in an international context (six different stock markets).     

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.     

Third-country exchange rate volatility and Japanese–US trade: evidence from industry-level data

As an important economic power globally as well as within Asia, Japan is susceptible to fluctuations in the yen versus both the dollar and its neighbours’ currencies. The resulting risk, from both sources, might, therefore, have important effects on Japanese trade. This study incorporates third-country exchange rate volatility (both yen-renminbi and dollar-renminbi) into a reduced form trade model for industry trade between the US and Japan. As was the case with a previous study that did not include these effects, our cointegration analysis finds that most industries are unaffected by risk. Third-country effects are, however, significant in a number of cases. Interestingly, a large share of US industries find that exports increase due to third-country risk, suggesting that this volatility is encouraging traders to reorient their trade markets by substitution.     

Commodity trade between Pakistan and the US: is there evidence of the J-curve?

A few studies that have attempted to estimate the short-run (J-curve) and long-run impact of exchange rate depreciation on Pakistan’s trade balance are either based on aggregate trade data between Pakistan and the rest of the world or between Pakistan and her bilateral trading partners. The findings are mixed at best. Considering the trade balance between Pakistan and the US, as one of its major partners, no significant effects have been discovered. Suspecting that the trade flows between the two countries could suffer from another aggregation bias, we disaggregate their trade flows by commodity and consider the trade balance of 45 industries that trade between the two countries. We find significant short-run effects of currency depreciation on the trade balance of 17 industries. The short-run effects last into the long run in 15 cases. The largest industry that account for more than 10% of the trade seems to benefit from real depreciation in the long run.     

Do trade flows respond to nudges? Evidence from the WTO’s Trade Policy Review Mechanism

Relatively little is known about the economic effects of WTO members’ communications outside of official negotiations and dispute proceedings. This paper considers whether interactions between members through the Trade Policy Review Mechanism, the WTO’s prime transparency institution, lead to subsequent changes in bilateral trade flows. Trade policy concern submissions are more likely to lead to positive trade responses when (i) the receiving country is less concerned about terms‐of‐trade losses, (ii) the submitter is more willing to engage in WTO disputes with the reviewed member to challenge controversial trade policies, and (iii) the submitting country challenges trade policies in the nonchemical manufacturing sector. Nudges through the TPR process are not successful in raising agricultural trade.     

The effects of the GSTP on trade flow: mission accomplished?

This paper investigates whether the Global System of Trade Preferences among developing countries (GSTP) achieves its intent to increase the trade of capital goods between member countries. For this purpose, trade data disaggregated by the degree of commodity differentiation and various GSTP regional dummies are employed in a gravity equation. Estimation results say that the value of trade between GSTP member countries has increased significantly since the formation of the GSTP in 1989, and the trade of differentiated commodities has increased remarkably compared with other commodities. Therefore, it can be asserted that the mission of the GSTP has been accomplished successfully.     

Does tax policy affect credit spreads? Evidence from the US and UK

This paper studies how exogenous tax changes affect credit market conditions in the US and UK. Using both structural VAR and structural factor-augmented VAR (FAVAR) model, we find that tax-policy shocks have significant effects on the credit spread. Specifically, the credit spread responds first positively and then negatively to an exogenous tax increase in the two countries. Moreover, the impulse responses of the credit spread to tax-policy shocks do not always accord well with the impulse responses of the output. This indicates that there are channels of tax policy transmission to the credit spread other than through its impact on the business cycle.     

Do exchange rate changes have symmetric or asymmetric effects on the trade balances of Asian countries?

Recently the linear ARDL approach was modified and a non-linear version of the same approach that is used mostly to assess asymmetric effects of some exogenous variables on the dependent variable was introduced. The non-linear model was recently used by one study to show that indeed exchange rate changes have asymmetric effects on the trade balance of a few advanced countries. The same was demonstrated for transition economies by another study. In this article, we provide additional asymmetric effects from seven Asian economies by showing that in most cases we find evidence of short-run and long-run asymmetric effects of exchange rate changes on the trade balance. Like other studies, our findings are country specific.     

The US–China Phase One trade deal: An economic analysis of the managed trade agreement

In light of the recent tit-for-tat trade dispute between China and the US, interest in quantifying the effects of the so-called Phase One agreement has risen. To this end, this paper quantifies the impact of the asymmetric managed trade agreement using such a multi-country open-economy dynamic general equilibrium model. Besides assessing the direct implications for China and the US, this paper analyzes trade diversion effects. The model-based analysis finds noticeable positive (negative) impacts of the agreement for the US (China) as well as negative spillover effects for countries not directly affected by the managed trade deal due to trade diversion. The impact of possible future trade agreements is also examined.     

The economic and trade effects of the UK–Korea free trade agreement on the United Kingdom,Korea, Japan,China, and the European Union

We explored a comparative static computable general equilibrium model with six regions and 12 sectors to estimate the impacts of the recent UK–Korea free trade agreement (FTA) along with the European Union (EU)–Korea FTA. The empirical results provide quantitative evidence of the impact on national GDP, national exports and imports by sector, and the changes in exports or imports among the United Kingdom, Korea, Japan, China, and the EU. The UK–Korea FTA, along with the EU–Korea FTA, increases GDP and welfare for the United Kingdom and Korea; moreover, there is a large increase in automobiles, transport equipment, and machinery exports between Korea and the United Kingdom. The GDP and welfare level of non-member countries such as Japan and China will slightly decline. Exports from the United Kingdom and Korea to non-member countries are also expected to decrease in most manufacturing sectors. The UK–Korea FTA will lead to increases in imports between the United Kingdom and Korea due to mutual trade creation effects and trade diversion effects. However, non-member countries such as Japan's exports are expected to experience a large decline in automobiles to the United Kingdom and in most manufacturing products to Korea due to the negative impact of the UK–Korea FTA.     

Do changes in the fundamentals have symmetric or asymmetric effects on house prices? Evidence from 52 states of the United States of America

Time-series studies that have tried to establish the long-run relationship between house prices and economic fundamentals have been criticized due to low power of their cointegration tests. On the other hand, those who have used panel data and panel tests to increase the power have found mixed results. Both groups have assumed that changes in the fundamentals have symmetric effects on house prices. In this article, we use nonlinear ARDL approach to cointegration and error-correction modelling and quarterly data from each of the states in the US to show that changes in the fundamentals have asymmetric effects on house prices, in the short run as well as in the long run. Cointegration between house prices and fundamentals is established in 30 states and in District of Columbia.     

Regime changes and the impact of currency depreciations: the case of Spanish–US industry trade

Over the past half century, Western Europe has been part of varying currency regimes. Yet, whether under Bretton Woods, the European Monetary System, or the Euro, exchange-rate fluctuations have had an influence on these countries’ trade flows with the United States at the national and the industry level. This study looks at the case of Spain, examining the role of real exchange-rate fluctuations on trade with the United States for 74 industries. We find that the trade balances of only 40 industries are cointegrated with their macroeconomic determinants, but that 26 of these respond positively in the long run to a real depreciation. While industry characteristics do not seem to explain which industries are more likely to do this, we find that a relatively large share of industries in the Machinery sector see their trade balances improve after a depreciation.     

Environmental and economic impacts of trade barriers: The example of China–US trade friction

The new age of trade wars could simultaneously affect the worldwide distribution pattern of the economy and environmental emissions. However, previous studies have focused on economic impacts, and on trade liberalization, while little is known about the equilibrium effects of trade barriers on the environment. Using a global computable general equilibrium model and taking the recent anti-trade policies of the Trump administration as an example, this study investigates the possible socio-economic and environmental effects of trade friction. Specifically, this study explores how the implemented six rounds of China–US trade friction and its different long-term development trends affect regional economic output, GHG and air pollutant emissions. Results show that trade barriers harm both countries’ economies and such losses have a certain permanence, while non-participants can benefit indirectly. Trade friction decreases participants’ GHG emissions, modifies global GHG emission distribution patterns, and leads to improved air quality in most countries. If governments continue to impose tariffs, global GHG emissions could counterfactually decrease by up to 5%. However, the change in trade patterns is not conducive to clean energy development in the less-developed regions, including the Middle East, Africa, and Latin America, and emission reductions from trade friction are insufficient to avoid catastrophic climate change.     

Enlarging the EMU to the east: what effects on trade?

The purpose of this article is to assess the implications of the Economic and Monetary Union (EMU) accession of eight Central and Eastern European Countries (CEECs) on their share of EMU-12 imports. Overcoming biases related to endogeneity, omitted variables and sample selection, our results indicate that the common currency has boosted intra-EMU imports by 7%. Under the assumption that the same relationship between the explanatory variables and imports will hold for EMU-CEEC trade, we intend to predict the future impact of the Euro. Our findings suggest that except for the least integrated countries, Poland, Latvia and Lithuania, all CEECs can expect increases in the EMU-12 import share.

On the incentive effects of monitoring: evidence from the lab and the field

Several experimental studies have shown that the crowding-out effect of monitoring may outweigh its disciplining effect through intrinsic motivation destruction, thereby reducing effort. However, most of these experiments use numeric effort tasks that subjects may not be intrinsically motivated to complete. This paper aims to analyze the incentive effects of monitoring using a real-effort task for which intrinsic motivation is more likely to exist. We conducted two similar experiments, in the lab in Montreal and in the field in Ouagadougou. In contrast to the lab, subjects in the field are unaware they are taking part in an experiment.     

Malaysia-EU trade at the industry level: Is there an asymmetric response to exchange rate volatility?

Aftab et al. (Empirica 43:461–485, 2016) in this journal assessed the impact of exchange rate volatility on Malaysia-EU trade at commodity level using the linear ARDL approach of Pesaran et al. (J Appl Econom 16:289–326, 2001) and did not find significant effects in most of the 81 Malaysian exporting and 66 importing industries. In this paper, we argue for asymmetric effects of exchange rate volatility on the same industries’ trades which implies using Shin et al.’s (Festschrift in Honor of Peter Schmidt, Springer, New York, 2014) nonlinear ARDL approach. While we find short-run asymmetric effects of volatility in almost all industries, we find evidence of adjustment asymmetry in 17 exporting and nine importing industries. We also find significant impact or short-run cumulative asymmetry in 12 exporting and six importing industries. The most important finding is significant long-run asymmetric effects in 36 Malaysian exporting industries and 25 Malaysian importing industries. Clearly, trade flows react to an increased exchange rate volatility differently than to a decreased volatility.     

Trade and Global Income Inequality with Frictional Labor Markets: A Lesson from the Canada–US Free Trade Agreement

This paper develops a two-country trade model with frictional labor market structures to investigate the link between increased openness to trade and cross-country income inequality. Calibrated to US–Canadian data, the model simulation results show that the Canada–US Free Trade Agreement benefited Canada, the country with relatively higher capital intensity, more due to its capacity to flexibly expand in response to an increase in product demand. The results from counterfactual experiments indicate that increased capital intensity in the US is expected to increase gains from trade in both countries while making the distribution of gains less unequal.     

US–Indonesia trade at commodity level and the role of the exchange rate

Previous studies that assessed the impact of currency depreciation on inpayments and outpayments of Indonesia with her major trading partners did not find much significant results, especially in the trade with the United States. We wonder whether insignificant link between the real rupiah-dollar rate and Indonesia’s inpayments and outpayments with the United States is due to aggregation bias. To answer this question, we disaggregate the trade flows between the two countries by commodity and consider the sensitivity of inpayments of 108 US exporting industries and outpayments of 32 US importing industries from Indonesia. We find that most industries respond to exchange rate changes in the short run. In the long run, however, 32 inpayments schedule and 17 outpayments schedule are significantly affected. A 1% real depreciation of the dollar was found to improve US trade balance by 1.8%.     

Employer size–wage effects: evidence from matched employer–employee survey data in the UK

This paper employs a random sample of matched employer–employee data from the UK to test seven possible explanations for the positive relationship between employer size and pay. Individual wage equations show a large employer size–wage premium. We then control for a range of establishment-level variables, based on seven hypotheses typically advanced to explain this premium. Each establishment-level factor reduces the wage premium, but a sizeable premium nonetheless remains. In adjudicating on these hypotheses, we find a strong association between the internal labour market and the employer size–wage premium. This finding supports the theory that the employer size–wage effect may be due to the higher costs of turnover or monitoring in larger firms. However, we find contrasting effects for public versus private sector establishments.