Pooled Mean Group Estimation of the Bilateral Trade Balance Equation: USA vis‐à‐vis her Trading Partners

The autoregressive distributed lag model (ARDL), even though it distinguishes between the short run and the long run effect, allows both the intercepts and slopes to vary across countries. Static panel estimations, such as fixed‐effects estimation (FE), cannot distinguish between the short run and the long run behavior. To address the issue of short run heterogeneity as well as long run homogeneity of the estimated coefficients in a panel framework, the pooled mean group (PMG) estimator has gained popularity since 1999. In this paper, we estimate the bilateral trade balance model for the USA vis‐à‐vis her 19 OECD trading partners for the period 1973q1–2004q4 using the PMG estimator and find that PMG performs better than ARDL, FE, and MG estimators and provides significant and theoretically consistent results.     

Estimating the effects of non‐discriminatory trade policies within structural gravity models

We propose a simple method to identify the effects of unilateral and non‐discriminatory trade policies on bilateral trade within a theoretically consistent empirical gravity model. Specifically, we argue that structural gravity estimations should be performed with data that include not only international trade flows but also intra‐national trade flows. The use of intra‐national sales allows identification of the effects of non‐discriminatory trade policies such as most favoured nation tariffs, even in the presence of exporter and importer fixed effects. A byproduct of our approach is that it can be used to recover estimates of the trade elasticity, a key parameter for quantitative trade models. We demonstrate the effectiveness of our techniques in the case of most favoured nation tariffs and “time to export” as representative non‐discriminatory determinants of trade on the importer and on the exporter side, respectively. Our methods can be extended to quantify the impact on trade of any country‐specific characteristics as well as any non‐trade policies.     

Trade between symmetric countries,heterogeneous firms,and the skill premium

Abstract This paper examines the effects of trade liberalization between symmetric countries on the skill premium. I introduce skilled and unskilled labour in a model of trade with heterogeneous firms à la Melitz (2003) and assume a production technology such that more productive firms are more skill intensive. I show that the effects of trade liberalization on wage inequality crucially depend on the type of trade costs considered and on their initial size. While fixed costs of trade have a potentially non‐monotonic effect on the skill premium, a drop in variable trade costs unambiguously and substantially raises wage inequality.     

Deconstructing gravity: trade costs and extensive and intensive margins

Abstract This paper uses data on US exports to decompose exports into the number of exporting firms (the extensive margin) and average export sales (the intensive margin). We show how a range of proxies for trade costs has different impacts on the two margins. Distance has a negative effect on both margins, but the magnitude is considerably larger for the extensive margin. Most of the variables capturing language, internal geography, infrastructure and import cost barriers work through the extensive margin. We show that these results are consistent with a Melitz‐style model of trade with heterogeneous firm productivity and fixed costs.     

Second thoughts on the exporter productivity premium

Abstract Contrary to the prevailing interpretation, this paper shows that the central models of trade with heterogeneous firms ( Melitz 2003 ; Bernard et al. 2003 ) exhibit ambiguous predictions for the exporter productivity premium. This prospect arises because of differences between theoretical and empirical representations of firm productivity. Instead of marginal productivity, we examine in both models the theoretical equivalent of empirically observable productivity (value‐added per employee). Given the presence of fixed export costs or heterogeneous mark‐ups and trade costs, the observable productivity of exporters in proximity to the export‐indifferent firm turns out to be lower than that of non‐exporters; that is, the productivity distributions overlap. The paper reviews empirical literature that reports non‐positive exporter productivity premia in firm‐level data and discusses implications for empirical research on exporter performance, including learning and the role of non‐parametric regressions (stochastic dominance, quantile regressions), fixed costs, and productivity distributions.     

The trade creation effect of immigrants: evidence from the remarkable case of Spain

Abstract This paper investigates the immigration‐trade link using data on individual exporting transactions and immigrants in Spanish provinces between 1995 and 2008. We quantify the impact of new immigrants on the extensive margin (number of transactions) and intensive margin (average value per transaction) of exports. We find that immigrants significantly increase exports and that the effect is almost entirely due to an increase in the extensive margin. Consistent with the idea that immigrants reduce the fixed cost of exporting, we find stronger effects for differentiated goods and for countries that are culturally distant from Spain.     

Capital adjustment cost and inconsistency in income‐based dynamic panel models with fixed effects

After the seminal work of Nickell (1981), a vast literature demonstrates the inconsistency of ‘conditional convergence’ estimator in income‐based dynamic panel models with fixed effects when the time horizon (T) is short but the sample of countries (N) is large. Less attention is given to the economic root of inconsistency of the fixed effects estimator when T is also large. Using a variant of the Ramsey growth model with long‐run adjustment cost of capital, we demonstrate that the fixed effects estimator of such models could be inconsistent when T is large. This inconsistency arises because of the long‐run adjustment cost of capital which gives rise to a negative moving average coefficient in the error term. Income convergence will be thus overestimated. We theoretically characterize the order of this inconsistency. Our Monte Carlo simulation demonstrates that the size of the bias is substantial and it is greater in economies with higher capital adjustment costs. We show that the use of instrumental variables that take into account the presence of the negative moving average term in the error will overcome this bias.     

Do trade missions increase trade?

Abstract In an effort to stimulate trade, Canada has conducted regular trade missions starting in 1994, often led by the Prime Minister. According to the Canadian government, these missions generated tens of billions of dollars in new business deals. This paper uses bilateral trade data to assess this claim. We find that Canada exports and imports above‐normal amounts to the countries to which it sent trade missions. However, the missions do not seem to have caused an increase in trade. In the preferred specification, incorporating country‐pair fixed effects, trade missions have small, negative, and mainly insignificant effects.     

An Improved Two‐step Regularization Scheme for Spot Volatility Estimation

We are concerned with the problem of spot volatility estimation in the presence of microstructure noise. We introduce an estimator based on the technique of multi‐step regularization. A preliminary form for such an estimator was proposed in Ogawa (2008) and was shown to work in a real‐time manner. However, the main drawback of this scheme is that it needs a lot of observation data. The aim of the present paper is to introduce an improvement to this scheme, such that the modified estimator can work more efficiently and with a data set of smaller size. The technical aspects of implementation of the proposed scheme and its performance on simulated data are analysed. The scheme is tested against other spot volatility estimators, namely a realized volatility type estimator, the Fourier estimator and three kernel estimators.     

Internet Technology and the Extensive Margin of Trade: Evidence from eBay in Emerging Economies

Online platforms such as eBay offer technologies that make it easier for firms to export. This paper dissects a new firm‐level dataset that covers sales made through eBay by sellers based in 21 emerging economies to provide a new lens through which to look at the effect of trade costs on the extensive margin of trade. Comparing eBay sellers with “offline” firm‐level data from the World Bank's Exporter Dynamics Database allows us to test whether the observed trade patterns on eBay fit with the trade‐liberalization predictions of heterogeneous‐firm models. We find that eBay firms export to more destinations, suggesting low destination‐specific fixed costs on eBay. We then show that the distribution of export destinations across eBay sellers is well approximated by a balls‐and‐bins model of frictionless trade, suggesting eBay indeed lowers fixed export costs. Finally, we compare the gravity of eBay with that of offline trade and find geographic distance, languages, and trade agreements to matter less for online trade.     

TRADE,STRUCTURAL REFORM,AND INSTITUTIONS IN SUB‐SAHARAN AFRICA

Sub‐Saharan African countries have traditionally lagged the rest of the developing world in terms of overall trade relative to gross domestic product. But, there is growing interest among these countries to initiate trade policies and improve quality of institutions as a way to promote trade and boost foreign direct investment. This article extends the gravity model of trade to include proxies for trade reform policy and institutional quality among the 15 countries of the Economic Community of West African States (ECOWAS) for data spanning 1984–2006. Alternative methods of estimation based on ordinary least squares, Heckman two‐step procedure, and Poisson pseudo‐maximum likelihood produce predictions that are consistent with the standard gravity model. They further highlight the evidence of restrictive trade policies and weak institutions that contribute to the failure of ECOWAS countries to boost bilateral trade. (JEL F13, F15, O19, O55)     

A Welfare Ranking of Multilateral Reductions in Real and Tariff Trade Barriers when Firms are Heterogenous

Trade liberalization comes about through reductions in various types of trade barriers. This paper introduces, apart from the customary real trade costs (i.e. iceberg and fixed export costs), two revenue generating trade barriers (i.e. an ad valorem tariff and a trade license) into a standard heterogeneous‐firms‐trade model with Pareto distributed productivities. We derive analytical welfare rankings of all four liberalization channels for an equal effect on two openness measures, for any trade cost level and while all four barriers are simultaneously present, i.e. for any initial equilibrium. We show that when openness is measured at retail prices, not border prices, the welfare rankings are sensitive to the degree of efficiency in revenue redistribution, e.g. the share of tariff revenues wasted on rent‐seeking activities. As a result, multilateral tariff reductions can switch from the least to the most preferred mode of liberalization. Among the other three barriers we establish a universal welfare ranking for any strictly positive level of revenue redistribution and for either measure of openness.     

The Trade Effects of Indian Antidumping Actions

Antidumping (AD) has emerged as the most widespread policy impediment to trade in the last 25 years. One of the surprise proliferators of AD in the lesser developed world has been India, which has filed an outstanding number of 285 cases between 1992 and 2002. In this paper, I study empirically the effect of Indian AD cases on trade flows from other countries. I also look at the effect of AD cases on trade diversion from countries subject to or “named” in AD investigations to non‐subject or “non‐named” countries and conclude that Indian AD policy is effective. I use a unique dataset combining AD data from the World Trade Organization with trade data from Comtrade. The empirical model is estimated via the Arellano–Bond procedure.     

Microstructure and asset pricing: An insight on African frontier stock markets

This article investigates the impact of microstructure factors on asset pricing in some African stock markets. We use data on stocks listed on the Johannesburg Stock Exchange, the “Bourse Régionale des Valeurs Mobilières,” and the Nigeria Stock Exchange, and we consider international portfolio management from 2000 to 2014. Generalized least square and fixed effect are estimation methods used to highlight the effect of microstructure variables on expected return. At the same time, panel smooth transition regression (PSTR) modeling is considered to identify the thresholds in this effect. The results show that liquidity and to a lesser extent the number of trading days are the most common significant microstructure variables for all the studied markets. However, other variables’ effects on the return are specific to the considered stock markets. Furthermore, the PSTR estimator reveals that the impact of indicated factors on asset pricing is not linear because it produces a double threshold between return and microstructure.     

Estimation of Binary Response Models With Endogenous Regressors

This paper reviews six approaches to binary response (y₁) structural forms with an endogenous regressor y₂: (i) the two‐stage least squares estimator‐like substitution approach, (ii) the control function approach, (iii) the system reduced‐form approach, (iv) the artificial instrumental regressor approach, (v) the transformed‐response instrumental variable estimator approach and (vi) the classical maximum likelihood estimator approach. The applicability of the six methods differs greatly, depending on whether y₂ is a continuously distributed random variable or a discrete transformation of a latent . We conduct a real‐data‐based simulation study, and provide an empirical illustration. Our overall recommendation is using (i) and (ii), as the others have undesirable features such as analytic complexity in (iii), computational difficulty in (iv) and (vi), and poor finite‐sample performance in (v).     

Two Tales on the Returns to Education: The Impact of Trade on Wages

This paper uses micro data from the Current Population Survey combined with data from the US International Trade Commission and Bureau of Economic Analysis to evaluate the impacts of international trade (import penetration and export intensiveness) on wages with a special focus on the returns to education. Consistent with the literature, our empirical analysis provides evidence that the wage rates of similarly skilled workers differ across net‐exporting, net‐importing, and nontradable industries. Our results add to the literature by showing that the wage gap usually found across importing and exporting industries vanishes for highly skilled workers (workers with college degree and beyond) when we control for the cross‐effect between international trade and education, but the wage gap due to international trade still persists for low‐skilled workers. This finding supports the view that education serves as an equalizer and counterbalances the adverse impact from import penetration on wages of highly skilled workers.     

Does time difference between countries reduce bilateral trade? An application of the correlated random effects method using panel data

This article implements the correlated random effects (CRE) panel data technique in a gravity framework to analyse the effect of time difference between countries on bilateral trade. One major advantage of the CRE approach over the fixed-effects approach is that it is able to estimate the effect of variables that remain unchanged within panel clusters (e.g. time difference between countries), while these variables get dropped from regressions that use fixed-effects methods. Regression results based on the CRE Poisson pseudo-maximum likelihood estimator indicate statistically significant negative effect of time difference between countries on bilateral trade. An additional hour of time difference between countries is found to reduce bilateral merchandise exports by approximately 8%, even after controlling for the effect of distance in the regressions.     

Intra-tourism trade,income distribution and tourism endowment: an econometric investigation

Empirical investigation (Nowak et al., 2012) points out that vertical intra-industry trade (VIIT) in Europe is the dominant type of intra-industry trade (IIT) in the tourism sector. This article is the first in tourism literature to test separately the determinants of vertically and horizontally differentiated services, using the most recent models in the theory of IIT. We examine bilateral trade among all trading partners of the sample of European countries, covering the period from 2000 to 2008. We show that differences in gross domestic product per capita and the income-distribution overlap, as well as cultural proximity, are the most significant driving forces behind VIIT for European countries. Geographic distance has a negative effect, whereas specific tourism endowments and relative size of the economies are less conclusive. These results confirm theory predictions and most of the empirical findings related to the pattern of VIIT for the manufacturing sector. As expected, we find that determinants of VIIT cannot explain horizontal intra-industry trade in tourism. We suggest two alternative methods of estimation: generalized least squares logistic function and the fractional logit estimator. We conclude that there are common factors explaining IIT in the manufacturing and tourism trades.     

External Imbalances and the Extensive Margin of Trade

We quantify the role of the extensive margin in the recent trade dynamics of selected countries that are running large and persistent trade imbalances. We find that the role of the extensive margin is quite substantial, although it varies in significance across the countries in the sample. Finally, we highlight differences in behaviour between the fixed‐varieties and varieties‐adjusted terms of trade.     

Moment Estimation of the Probit Model with an Endogenous Continuous Regressor

We propose a generalized method of moments (GMM) estimator with optimal instruments for a probit model that includes a continuous endogenous regressor. This GMM estimator incorporates the probit error and the heteroscedasticity of the error term in the first‐stage equation in order to construct the optimal instruments. The estimator estimates the structural equation and the first‐stage equation jointly and, based on this joint moment condition, is efficient within the class of GMM estimators. To estimate the heteroscedasticity of the error term of the first‐stage equation, we use the k‐nearest neighbour (k‐nn) non‐parametric estimation procedure. Our Monte Carlo simulation shows that in the presence of heteroscedasticity and endogeneity, our GMM estimator outperforms the two‐stage conditional maximum likelihood estimator. Our results suggest that in the presence of heteroscedasticity in the first‐stage equation, the proposed GMM estimator with optimal instruments is a useful option for researchers.