Estimating the effects of free trade agreements on international trade flows using matching econometrics

This paper provides the first cross-section estimates of long-run treatment effects of free trade agreements on members' bilateral international trade flows using (nonparametric) matching econometrics. Our nonparametric cross-section estimates of ex post long-run treatment effects are much more stable across years and have more economically plausible values than corresponding OLS cross-section estimates from typical gravity equations. We provide plausible estimates of the long-run effects of membership in the original European Economic Community (EEC) and the Central American Common Market (CACM) between 1960 and 2000 and the estimates confirm anecdotal reports of these agreements' effectiveness.     

Revisiting the effect of regional integration on African trade: evidence from meta-analysis and gravity model

Two main shortcomings flaw the estimation of gravity model in previous studies that examined the trade-creating effects of African Regional Trade Agreements (RTAs). First, these studies fail to account for the multilateral resistance term. This omission makes the estimates from standard gravity model bias and inconsistent. Second, there is a significant proportion of zero trade flows, however, these studies also fail to account for them properly. They use either the Tobit model or replace zero flows with arbitrary small values. Apart from these problems, they also exhibit considerable heterogeneity in the RTA effects on trade. In this paper, a meta-analysis of previous empirical studies is conducted to derive a combined effect size and also to explain the heterogeneity. In addition, I use the gravity model to compare the trade-creating effect of the main African RTAs. Using the gravity model, I compare the estimation methods of previous studies to the Poisson pseudo-maximum-likelihood estimator that tackles the zero flows. From the meta-analysis, I find a general positive effect of African RTAs of about 27%–32%. A comparative assessment of the RTAs using gravity model shows a striking heterogeneity.     

Solving and Testing for Regressor-Error (in)Dependence When no Instrumental Variables are Available: With New Evidence for the Effect of Education on Income

This paper has two main contributions. Firstly, we introduce a new approach, the latent instrumental variables (LIV) method, to estimate regression coefficients consistently in a simple linear regression model where regressor-error correlations (endogeneity) are likely to be present. The LIV method utilizes a discrete latent variable model that accounts for dependencies between regressors and the error term. As a result, additional ‘valid’ observed instrumental variables are not required. Furthermore, we propose a specification test based on Hausman (1978) to test for these regressor-error correlations. A simulation study demonstrates that the LIV method yields consistent estimates and the proposed test-statistic has reasonable power over a wide range of regressor-error correlations and several distributions of the instruments. Secondly, the LIV method is used to re-visit the relationship between education and income based on previously published data. Data from three studies are re-analyzed. We examine the effect of education on income, where the variable ‘education’ is potentially endogenous due to omitted ‘ability’ or other causes. In all three applications, we find an upward bias in the OLS estimates of approximately 7%. Our conclusions agree closely with recent results obtained in studies with twins that find an upward bias in OLS of about 10% (Card, 1999). We also show that for each of the three datasets the classical IV estimates for the return to education point to biases in OLS that are not consistent in terms of size and magnitude. Our conclusion is that LIV estimates are preferable to the classical IV estimates in understanding the effects of education on income. JEL Classification: C12, C13, C21, J3, M3     

Trade Costs in Bilateral Trade Flows: Heterogeneity and Zeroes in Structural Gravity Models

This paper contributes to the explanation of international trade flows with structural gravity models taking heterogeneity and excess zeroes into account. We introduce a more general hypothesis on the structure of trade costs in Helpman et al. (The Quarterly Journal of Economics, 2008; 123 , 2, 441) theoretical model that is capable of explaining over‐dispersion in trade data. Zero‐inflated negative binomial models are considered to analyse the impact of trade costs, measured in terms of geographical distance and contiguity effects. An analysis related to a sample of 37 countries' trade flows, with heterogeneous effects across sectors and trade‐integrated areas, such as APEC and EU, is presented. The size of exporting and destination economies and cultural and institutional factors are considered as influencing both the extensive and the intensive margin of trade.     

Thick and Thin Borders in the European Union: How Deep Internal Integration is Within Countries,and How Shallow Between Them

The existence of large border effects is one of the main puzzles of international macroeconomics. The seminal paper by McCallum found that trade between any two Canadian provinces was (on average) 22 times greater than trade between any Canadian province and any US state. Although various authors have estimated internal and external border effects for the whole European Union and some specific European countries, none has done so in the manner that McCallum's seminal paper, stymied by lack of data on region‐to‐region international trade flows. This study uses a novel data set that captures intra and international truck shipments between Spanish regions and regions in seven European countries during the period 2004–11. It computes internal and external border effects, offering novel results for aggregate flows and the importing countries, and estimates several specifications of the gravity equation, so as to tackle such issues as the multilateral resistance term, heteroscedasticity, and zero flows and non‐linear relation between trade and distance. The paper also adds a detailed analysis on the external border effect for each Spanish exporting region and each of the seven European countries considered. By means of this analysis, we shed new light on the relative integration between regions of these seven countries and Spanish exporting regions. Finally, we conduct an extrapolation exercise, computing the ‘trade potentials’ that would be expected in a fully integrated Europe and estimating how long full integration would take to achieve between each Spanish exporting region and each European importing country. To this regard, two alternative scenarios are considered: one using the growth rates of the Spanish exports before the crisis (2001–08) and other considering the post‐crisis growth rates (2011–13).     

Bonus vetus OLS: A simple method for approximating international trade-cost effects using the gravity equation

Using a Taylor-series expansion, we solve for a simple reduced-form gravity equation revealing a transparent theoretical relationship among bilateral trade flows, incomes, and trade costs, based upon the model in Anderson and van Wincoop [Anderson, James E., and van Wincoop, Eric. “Gravity with Gravitas: A Solution to the Border Puzzle.” American Economic Review 93, no. 1 (March 2003): 170-192.]. Monte Carlo results support that virtually identical coefficient estimates are obtained easily by estimating the reduced-form gravity equation including theoretically-motivated exogenous multilateral resistance terms. We show our methodology generalizes to many settings and delineate the economic conditions under which our approach works well for computing comparative statics and under which it does not.     

In search of WTO trade effects: Preferential trade agreements promote trade strongly, but unevenly

The literature measuring the effects of WTO membership on trade flows has produced remarkably diverse results. Rose (2004) reports a wide range of empirical specifications that produce no WTO effects. Tomz et al. (2007) use Rose's data but include de facto WTO membership, to find positive WTO trade effects. Rose (2005) also produced positive WTO trade effects after accounting for the diverse trade effects produced by individual preferential trade agreements (PTAs). When Subramanian and Wei (2007) emphasize general equilibrium trade effects by controlling for multilateral resistance, they find strong WTO trade effects only for industrialized countries. Subramanian and Wei (2007), however, account neither for unobserved heterogeneity among trading partners, nor for differences in trade effects across PTAs (which could inflate WTO estimates). We unify the Rose, Tomz et al., and Subramanian and Wei specifications in one comprehensive approach that minimizes omitted variable bias to show that all specifications produce one consistent result: WTO effects on trade flows are not statistically significant, while PTAs produce strong but uneven trade effects. Extending the gravity model to address specific avenues in which WTO may have affected trade flows, we find that WTO membership boosts trade prior to PTA formation and increases trade among proximate developing countries (at the expense of distant trade). An augmented gravity model that accounts for WTO terms-of-trade theory shows that countries with greater incentives to bargain for tariff reductions before WTO accession experience positive and significant subsequent WTO trade effects.     

The regional trade dynamics of Turkey: a panel data gravity model

This paper analyzes the Turkish export and import flows with regard to regional clusters (RCs) and bilateral trade costs (BTCs) by using a panel data gravity model. We study the role of RCs and BTCs in two complementary parts: in the first part, we use an unbalanced panel data for 180 countries over the period 1960–2012, compiled from the DOTS database. We extend these estimations by running the data at four different time intervals, each representing different economic or political regimes in Turkey. In the second part, we repeat the same exercise at sectoral level for 176 countries over the period 1994–2010, using the BACI database. Aggregate estimates show that the gravity model is very effective in explaining the export and import flows of Turkey and that all close-by regions, including EU27, have a significant impact on trade flows of Turkey. We also find that the EU Customs Union has a negative effect on Turkish exports and a positive effect on imports. Estimates at selected time intervals reinforce aggregate estimates and sectoral level analyses indicate that while some regions contribute positively in all or the majority of sectors, others contribute negatively or produce mixed results.     

Does trade raise income?: Evidence from the twentieth century

Efforts to estimate the effects of international trade on a country’s real income have been hampered by the failure to account for the endogeneity of trade. Frankel and Romer recently use a country’s geographic attributes — notably its distance from potential trading partners — to construct an instrument to identify the effects of trade on income in 1985. Using data from the pre-World War I, the interwar, and the post-war periods, we find that the main result of Frankel and Romer is confirmed throughout the whole century: countries that trade more as a proportion of their GDP have higher incomes even after controlling for the endogeneity of trade. We also find that the OLS estimate of trade’s effect on income is biased downwards in almost every sample year. However, this result is not robust to the inclusion of distance from equator (latitude).     

Does Aid Cause Trade? Evidence from an Asymmetric Gravity Model

Anderson and vanWincoop developed what has become the standard framework for framing and interpreting empirical work using the gravity model. Their framework relies heavily on an assumption of symmetry among countries. For issues related to North‐South trade, this assumption is problematic. In this paper, we develop an asymmetric extension of the Anderson–vanWincoop framework appropriate to the analysis of North‐South trade, where Northern countries produce differentiated goods and Southern countries homogenous ones. In addition, we use an appropriately extended version of Baier and Bergtrand and Taylor linear expansion – thus permitting its estimation using (good old) OLS. The result is an empirical model that (i) is better suited to the analysis of North‐South trade, (ii) is easy to estimate and compute comparative statics, not requiring a customised NLS routine and, given the way the South is included, (iii) provides a simple explanation of zero trade flows between some country pairs, a fact still not fully explained in the literature. As an illustration of its use, we examine the empirical link between foreign aid and trade.     

Trade Creation and Diversion Effects of Regional Trade Agreements: A Product‐level Analysis

This paper examines the impacts of regional trade agreements (RTAs) on trade flows at product level, with a particular focus on trade creation and diversion. Based on estimation of the gravity equation, dealing with the zero trade flows and endogeneity bias problems, we analyse the impacts of various types of RTAs involving 67 countries for 20 products during the 1980–2006 period. We find that RTAs among developing countries tend to cause trade diversion compared with RTAs among developed countries. Taking the higher external tariff rates of developing countries compared with developed countries into consideration, our results suggest trade diversion is likely to be caused by remaining high tariffs on imports from non‐members. In addition, we find the trade creation effect for many products in the cases of Customs Unions and plurilateral RTAs. These results imply that trade creation would be caused by various factors besides the reduction in tariff rates. Based on these results, we draw a policy implication that external tariff rate reduction is an important factor in avoiding trade diversion in the formation of RTAs, in particular for RTAs among developing countries, while a large number of members and the common external tariff appear to be important for generating the trade creation effect.     

Inequality and endogenous trade policy outcomes

An enduring puzzle in international economics is why trade interventions are biased in favor of import-competing rather than export sectors and therefore restrict trade. In this paper, we show that if the government's objective reflects a concern for inequality then trade policy generally exhibits an anti-trade bias. Importantly, under neutral assumptions, the mechanism that we analyze generates the anti-trade bias independently of whether factors are specific or mobile across sectors. The mechanism also generates an anti-trade bias between large countries even after they sign reciprocal trade agreements that eliminate any terms-of-trade motivation for the use of trade protection.     

Unpacking sources of comparative advantage: A quantitative approach

This paper develops an approach for quantifying the importance of different sources of comparative advantage, by extending the Eaton and Kortum (2002) model to predict industry trade flows. In this framework, comparative advantage is determined by the interaction of country and industry characteristics, with countries specializing in industries whose production needs they can best meet with their factor endowments and institutional strengths. I estimate the model parameters using: (i) OLS; and (ii) a simulated method of moments procedure that accounts for the prevalence of zeros in the bilateral trade data. I apply the model to explore various quantitative questions, such as how much distance, Ricardian productivity, factor endowments, and institutions each matter for country welfare in the global trade equilibrium.     

Do Economic Integration Agreements Actually Work? Issues in Understanding the Causes and Consequences of the Growth of Regionalism

This paper argues that the ‘competitive liberalisation’ of national governments of the past several decades has created a ‘market’ for regional economic integration agreements (EIAs). Evidence shows that countries that have selected into EIAs – such as free trade agreements – have ‘chosen well’ in the sense that the same economic characteristics that explain and predict bilateral EIAs also explain and predict bilateral trade flows. We show that previous ex post empirical evaluations of the effects of EIAs on trade have tended to underestimate the effects due to ignoring the (endogenous) self‐selection bias of country pairs into EIAs. Accounting for this bias, we find that European economic integration had a much larger impact on trade over the period 1960–2000 than previously found, and other more recent EIAs have had economically and statistically significant effects on members’ trade. The results shed further light on understanding the causes and consequences of the growth of regionalism.     

Unpacking sources of comparative advantage: A quantitative approach

This paper develops an approach for quantifying the importance of different sources of comparative advantage, by extending the Eaton and Kortum (2002) model to predict industry trade flows. In this framework, comparative advantage is determined by the interaction of country and industry characteristics, with countries specializing in industries whose production needs they can best meet with their factor endowments and institutional strengths. I estimate the model parameters using: (i) OLS; and (ii) a simulated method of moments procedure that accounts for the prevalence of zeros in the bilateral trade data. I apply the model to explore various quantitative questions, such as how much distance, Ricardian productivity, factor endowments, and institutions each matter for country welfare in the global trade equilibrium.     

Free Trade Agreements In the Americas: Are the Trade Effects Larger than Anticipated?

This paper argues that the ‘competitive liberalisation’ of national governments of the past several decades reflects national governments’ expectations of larger trade impacts from regional economic integration agreements (EIAs) than typical ex ante economic models have suggested. Moreover, we show that previous (typically cross‐section) ex post empirical evaluations of the effects of EIAs on trade have seriously over‐ or underestimated the effects, partly due to ignoring the (endogenous) self‐selection bias of country pairs into EIAs. Accounting for this bias, we find that economic integration agreements in the Americas have had much larger impacts on trade over the period 1960–2000 than previously found and the ex post estimates are less fragile than those in earlier cross‐section analyses. The results shed further light on understanding the causes and consequences of the growth of regionalism in the world.     

Regional Integration and Trade: Controlling for Varying Degrees of Heterogeneity in the Gravity Model

The proliferation of regional trade agreements (RTAs) in the 1990s prompted a renewal of interest in studying the effect of regional integration on trade. Using a panel dataset of bilateral export flows from 12 EU countries to 20 OECD trading partners over the period 1992–2003, the trade effect of European regional integration, denoted by an EU dummy, is examined across a number of fixed effects (FE) specifications, each of which has been claimed as the correct econometric specification of the gravity model. Typically parsimonious in (time‐varying) economic variables and abundant in fixed effects, the FE specifications allow for varying degrees of heterogeneity in the gravity model. Two gravity models are estimated: a gravity model of traditional trade determinants and a gravity model of new trade theory (NTT) determinants. Both gravity models provide reasonable coefficient estimates, although they vary somewhat across the FE specifications for the traditional gravity model. Both gravity models are congruent in suggesting that the coefficient of the EU dummy declines in magnitude and becomes insignificant as an increasing degree of heterogeneity is admitted into the model. This suggests the fundamental importance of the econometric specification when evaluating trade policy effects within a gravity framework.     

A Synthesis of the Effects of Exchange Rate Volatility on International Trade: A Meta-Regression Analysis

ABSTRACT

This article surveys literature that investigates the effects of exchange rate volatility on international trade. We perform meta-regression analysis on 41 studies with 807 estimates. We show that the empirical works exhibit substantial publication selection and show a significant genuine exchange rate volatility effect on trade flows after correction of publication bias. In addition, the literature reveals a pronounced heterogeneity with respect to model specifications, samples, time horizons, and countries’ characteristics. These findings are supported by separate assessment of primary studies with, respectively, total exports and sectoral exports as the dependent variable.     

Does Religious Similarity Matter in International Trade in Services?

Impacts of religion on trade in services were examined using gravity models with two estimation methods: Poisson pseudo‐maximum likelihood (PPML), to correct for heteroscedasticity and bias due to the exclusion of zero trade flow, and standard Heckman correction to compensate for sample selection bias. We found that religious similarity contributes to increased international trade in services by establishing ‘trust‐related institutions’. Second, religious pluralism (variety) fosters trade even more than religious similarity, suggesting that in facilitating trade, religious openness matters more than religious similarity. Third, a strong dominant religion discourages trade in services, whereas the presence of religious minorities encourages trade in services. A highly significant inverse Mill's ratio (IMR) result indicated the presence of sample selection bias, indicating that controls are necessary to prevent estimation bias. This study concluded that religion is an important determining factor for trade in services, positively affecting interpersonal trust and thereby reducing institutional distance between countries.     

Understanding interstate trade patterns

This paper models and estimates bilateral trade patterns of U.S. states in a CES framework and identifies the elasticity of substitution across goods, the elasticities of substitution across varieties of each good, and the good-specific elasticities of distance by using markup values obtained from the production side. Compared to the international trade literature, the elasticity of substitution estimates are lower across both goods and varieties, while the elasticity of distance estimates are higher. Although home-bias effects at the state level are significant, there is evidence for decreasing effects over time.