Exporter Dynamics Database

Cebeci, Tolga; Fernandes, Ana M.; Freund, Caroline; Pierola, Martha Denisse

doi:10.1596/1813-9450-6229

Cited by 67 publications

(72 citation statements)

References 41 publications

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“…The source of the data is SUNAT and it was collected by the Trade and Integration Unit of the World Bank Research Department as part of the effort to build the Exporter Dynamics Database (see Cebeci, Fernandes, Freund, and Pierola (2012)). Although we have daily information on all shipments between years 1992 and 2009, we aggregate the data to the monthly level before any of our analyses.…”

Section: Datamentioning

confidence: 99%

Exporter Dynamics, Firm Size and Growth, and Partial Year Effects

Bernard

Massari²,

Reyes³

et al. 2014

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Two otherwise identical firms that enter the same market in different months, one in January and one in December, will report dramatically different annual sales for the first calendar year of operations. This partial year effect in annual data leads to downward biased observations of the level of activity upon entry and upward biased growth rates between the year of entry and the following year. This paper examines the implications of partial year effects using Peruvian export data. The partial year bias is very large: the average level of first-year exports of new exporters is understated by 65 percent and the average growth rate between the first and second year of exporting is overstated by 112 percentage points. This paper re-examines a number of stylized facts about firm size and growth that have motivated rapidly expanding theoretical and empirical literatures on firm export dynamics. Correcting the partial year effect eliminates unusually high growth rates in the first year of exporting, raises initial export levels, and shifts 10 percent of market entrants from below to above the median size. Revisiting an older set of facts on firm size and growth, the paper finds that correcting for partial year biases reduces the number of small firms in the firm size distribution and weakens the negative relationship between firm growth and firm size.

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Section: Datamentioning

confidence: 99%

Exporter Dynamics, Firm Size and Growth, and Partial Year Effects

Bernard

Massari²,

Reyes³

et al. 2014

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“…According to Canals et al (2007), in Japan the top 10 exporters account for about 30%, and the top 50 exporters for more than half of total exports. Cebeci et al (2012) report that in a sample of 45 developed and developing countries, the top 1% of exporters account for 55% of total exports on average. In a number of countries (Chile, Peru, South Africa) the top 1% of exporters are responsible for 80% or so of total exports.…”

mentioning

confidence: 99%

Country Size, International Trade, and Aggregate Fluctuations in Granular Economies

Giovanni

Levchenko

2012

Journal of Political Economy

203

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This paper proposes a new mechanism by which country size and international trade affect macroeconomic volatility. We study a multi-country, multi-sector model with heterogeneous firms that are subject to idiosyncratic firm-specific shocks. When the distribution of firm sizes follows a power law with an exponent close to −1, the idiosyncratic shocks to large firms have an impact on aggregate output volatility. We explore the quantitative properties of the model calibrated to data for the 50 largest economies in the world. Smaller countries have fewer firms, and thus higher volatility. The model performs well in matching this pattern both qualitatively and quantitatively: the rate at which macroeconomic volatility decreases in country size in the model is very close to what is found in the data. Opening to trade increases the importance of large firms to the economy, thus raising macroeconomic volatility. Our simulation exercise shows that the contribution of trade to aggregate fluctuations depends strongly on country size: in the largest economies in the world, such as the U.S. or Japan, international trade increases volatility by only 1.5-3.5%. By contrast, trade increases aggregate volatility by some 15-20% in a small open economy, such as Denmark or Romania.JEL Classifications: F12, F15, F41

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“…We use the World Bank's public-use Exporter Dynamics Database (EDD) that contains destination-specific information on exporting firms for 70 countries between 1997 through 2014 (Cebeci et al (2012)). The source of the underlying micro data, which is not publicly available, varies from national government statistics (such as in Peru) to figures collected by private companies (such as in Chile) and are thus wholly different sources than the U.S. customs data.…”

Section: Comparisons With Foreign Export Datamentioning

confidence: 99%

Identifying Foreign Suppliers in U.S. Import Data

Kamal

Monarch

2017

internationalfinance

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Relationships between firms and their foreign suppliers are the foundation of international trade, but data limitations and reliability concerns make studying such relationships challenging. We evaluate and enhance supplier information in U.S. import data and present new facts about importer-exporter relationships. Count of foreign exporters from U.S. import data tends to exceed those from source country data, especially from China. The pattern of U.S. imports from origin countries changes substantially by tracing trade back to the supplier's location instead. Related-party relationships trade more, while larger countries have more relationships.

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Exporter Dynamics Database

Cited by 67 publications

References 41 publications

Exporter Dynamics, Firm Size and Growth, and Partial Year Effects

Exporter Dynamics, Firm Size and Growth, and Partial Year Effects

Country Size, International Trade, and Aggregate Fluctuations in Granular Economies

Identifying Foreign Suppliers in U.S. Import Data

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