PRONTO Data Work

Data work of the PRONTO team focusses on (a) consolidation and improvement of existing information, and (b) construction of new indicators. All datasets can be downloaded from here.

Data consolidation & Improvement

Imputed WTO Notifications

These data are based on notifications of measures by WTO Members. There has been a large amount of processing, using text-based analysis, to map these NTM notifications to NTM categories as well as to affected products. For more information see Ghodsi, Reiter, Stehrer (2015).

Original source data: WTO Notifications

Border Rejection

Similar to the imputed WTO Notifications, here, product categories of the EU Rapid Alert System for Food and Feed (RASFF) border rejection data have been mapped to HS codes using text and string matching techniques. For more information see Beestermoller, Disdier, Fontagne (2015).

Original source data: EU RASFF

Environmental Taxes

This dataset provides national environment-related taxes for 34 OECD countries. The data covers a range of environmental taxes in place as of December 2014. Due to the variety of tax instruments, the database aims to make the policies as comparable as possible by converting them to 2014 US dollars in taxes per kilogram of pollutant. To preserve the nuance of the various instruments, it maintains four broad policy categories: (a) pollution taxes; (b) energy taxes; (c) transport taxes; and (d) taxes on natural resources. For details on the sources and the conversions used in the data construction, see Hatzipanayotou, et. al (2015).

Original source data: OECD database on instruments for environmental policy and natural resources management

Special Economic Zones

This dataset provides an indicator for whether a country has a special economic zone (SEZ) in place. As SEZs comprise many possible forms, the database provides information on three types of SEZs, (a) an export processing zone (EPZs are where import duties are waived on intermediates used in the production of exports), (b) export and import processing zones (and EPZ that also waives duties on imports that are sold domestically), and (c) a final classification that covers incentives beyond the waivers of duties (e.g. preferential taxation or lower regulation). The data covers 125 WTO member countries for 2011. For details on the sources and descriptive statistics for the data, see Davies and Francois (2015).

Original source data: WTO Trade Policy Review Mechanism

Crisis-era policy response measures

This dataset compiles crisis-era response measures in the Global Trade Alert Database. Especially, the focus of is on public purchasing policies. For more information see the background paper by Evenett and Shingal (2016).

Original source data: Global Trade Alert

Public procurement and trade flows

This database matches the Global Trade Alert public procurement related measures with BACI trade flow data. Information is on the HS 6-digit product level. For a description of the database, as well as an application see Disdier, Fontagne & Tresa (2018) .

Original source data: Global Trade Alert and BACI

Indicators

NTM GVC AVEs

This database provides two measures of ad-valorem equivalences (AVE) from a combined set of nine different NTMS (including SPS, TBT, specific trade concerns for these, and other NTMs). The coverage matches the WIOD database in terms of sectors (35 sectors), country coverage (41 importers), and time (2002-2011). In addition to the direct AVE, the database reports indirect AVEs which are accumulated via the global value chain (where the weighted averages are constructed via input/output tables). For details see Ghodsi, Gruebler, Reiter & Stehrer (2017) .

Original source data: WTO Notifications

Import demand elasticities

The databases contains import demand elasticities for 167 countries over 5124 products at the 6-digit level of the Harmonized System. The estimates cover the period of 1996 to 2014. For details see Ghodsi, Gruebler & Stehrer (2016) .

Original source data: WTO Notifications

Importer-specific ad-valorem equivalents

Ghodsi, Gruebler & Stehrer (2016) estimate ad valorem equivalents of NTMs over the period of 2002-2011 at the 6-digit product level of the Harmonized System. The data is based on a gravity approach and covers about 100 WTO member countries. Estimates are differentiated in accordance to the the NTMs notified to the WTO.

Original source data: WTO Notifications

WIOD & STRIs

This database links the World Bank Services Trade Restrictiveness Index (STRI), OECD STRI, and the OECD FDI Restrictiveness index to the WIOD database. This then covers 40 countries (plus the rest of the world) for the 22 services industries. The STRI measures are cross-sectional only (2007-2008 for the World Bank, 2014-2015 for the OECD); the FDI restrictiveness index covers multiple years (1997, 2003, 2006, and 2014). For details on their construction see Pindyuk and Stehrer (2016).

Original source data: World Bank STRI and OECD STRI

Extended STRI

This database provides an index drawing from the World Bank's Services Trade Restrictions Project. The measure ranges from 0 (fully open) to 100 (fully closed) for modes 1, 3 and 4 (under the GATS classification system) as well as a combined index. The data cover 103 countries and consider policies in place during 2007-2009. Further details can be found in Francois and Manchin (2016).

Original source data: World Bank STRI

NTM-MAP

NTM-MAP (Non-Tariff Measures MAP) contains indicators measuring the incidence of Non-Tariff Measures by using different methodologies and the UNCTAD TRAINS Database as source data. Three indexes are proposed as proxies for NTMs occurrence: (a) a frequency index, (b) the coverage ratio, and (c) the prevalence score.

These indices are systematically computed for 71 countries (as well a(including the EU28) and is done globally and for two level of products aggregation (HS2 or HS-Section). The NTMs covered include for five different categories of NTMs: (a) SPS; (b) TBT; (c) PSI; (d) Contingent trade-protective measures, and (e) Non-automatic licensing, quotas, prohibitions and quantity-control measures. The indexes are provided in three distinct files, for the most recent year over the period 2009-2015. Details can be found in NTM Map (2016).

Original source data: UNCTAD NTM TRAINS

PCA-based NTM indexes

Francois et al .(2018) run a principal component analysis on different subsets of a combined NTM dataset (GTA, NTM TRAINS, and wiiw's WTO Notifications) to generate different NTM indexes.

Original source data: Global Trade Alert, WTO Notifications, and UNCTAD NTM TRAINS