This file was generated on 2026-1-6 by Mengistu Alamneh Wassie A. GENERAL INFORMATION 1. Title of the dataset Supporting data and code for doctoral dissertation analyses 2. Brief description of the research project and its aims: This dataset contains documentation, processed outputs, and analytical materials supporting a doctoral research project that investigates trade integration, climate change, and economy-wide policy responses in African economies. It provides the structured outputs of the empirical analyses together with detailed documentation of data sources, classifications, transformations, and modeling approaches. The dataset presents the organization and structure of the analytical workflow, including descriptions of data sources, data harmonization and cleaning procedures, and the key terms and classifications used in the analysis, such as Harmonized System two-digit (HS2) product classifications and country-year identifiers. For the trade analysis, it documents the estimation of trade costs using a structural gravity framework and the derivation of ad valorem tariff equivalents (AVEs), and provides the resulting estimated trade cost measures and counterfactual simulation outputs. For the economy-wide analysis, the dataset includes calibrated model inputs and simulation results from a recursive dynamic computable general equilibrium (CGE) model, capturing macroeconomic, sectoral, trade, and household-level outcomes under alternative climate change and trade policy scenarios. Overall, the dataset is designed to document the empirical structure, assumptions, and results of the analyses, and to support transparency and reuse of the reported outputs in related economic and policy research. The dataset supports three main analytical components: * Structural gravity analysis of trade facilitation and trade costs * Climate change induced agricultural productivity shocks * Recursive dynamic computable general equilibrium (CGE) simulations for Ethiopia. 3. Author Information I. Dataset creator Name: Mengistu Alalmneh Wassie Institution: Center for Development Research (ZEF), University of Bonn Address: Genscherallee 3, 53113 Bonn, Germany Email: (mengistuaaau@gmail.com/s72mwass@uni-bonn.de) II. In case of questions related to this dataset, please contact: Name: Mengistu Alalmneh Wassie Institution: Center for Development Research (ZEF), University of Bonn III. Project Supervisor (PhD supervisor) Contact Information Name: Prof. Dr. Joachim von Braun Institution: Center for Development Research (ZEF), University of Bonn Address: Genscherallee 3, 53113 Bonn, Germany Email: jvonbraun@uni-bonn.de IV. Project second supervisor Name: Lukas Kornher Institution: Center for Development Research (ZEF), University of Bonn Address: Genscherallee 3, 53113 Bonn, Germany Email: lkornher@uni-bonn.de 4. Date of data collection / processing 2022-07-20 to 2025-01-21 (data collection from secondary sources; processing and simulations conducted during this period). 5. Language of the dataset: English B. DATA & FILE OVERVIEW 1. Repository structure Mengistu_Wassie_replicationdata/ A_trade_facilitation_gravity/ data_clean/ code/ output/AVEs/ B_CGE_Ethiopia_climate_shocks/ data/ documentation/ mapping/Productivity_shocks/ C_CGE_model_Ethiopia_climateshock&AfCFTA_Ethiopia/ sam/ETHIO_SAM/ parameters/ simulations/ outputs/Key-results/ D_licenses_and_citation/ Each top-level folder corresponds to a distinct empirical chapter and can be used independently, subject to licensing restrictions. 2. Description of folders and files I_trade_facilitation_gravity/ Description: Data processing for the bilateral trade data with scripts used to estimate structural gravity models and compute ad valorem tariff equivalents (AVEs) of trade facilitation measures. Contents: data_raw: Raw bilateral trade and trade-facilitation indicators obtained from international databases data_clean: Harmonized and analysis-ready datasets code: STATA code for gravity estimation, AVE computation, and counterfactual simulations output/AVEs: Estimated AVEs expressed as percents (the tariff equivalent values in percents) and simulated trade impact results as percent changes from the original trade volumes. Main variables include bilateral trade flows, trade time indicators, tariff rates, country and year identifiers. II_CGE_climate_shocks Description: Crop-level agricultural productivity shock data used as inputs for climate change simulations. Contents: data: Annual productivity shock factors under RCP 4.5 and RCP 8.5 scenarios documentation: Notes describing the construction and interpretation of shocks mapping/Productivity_shocks: Concordance between crops and CGE model sectors Only processed productivity shocks are provided. Underlying climate model outputs are not redistributed. III_CGE_model_ethiopia Description: Inputs and outputs related to a recursive dynamic CGE model for Ethiopia. Contents: parameters: Model parameters and macroeconomic closure settings model_code: Scenario definitions and auxiliary files (core IFPRI CGE source code not included, but publicly available) simulations_results: Scenario-specific model runs Key-results: Simulation outputs (GDP, sectoral output, trade, welfare, household consumption) Only processed inputs and simulation results are included. C. SHARING / ACCESS INFORMATION All underlying inputs originate from secondary data sources. 1. Licenses / restrictions placed on the data Original data processing scripts, documentation, and derived datasets are released under: Creative Commons Attribution 4.0 International (CC BY 4.0) Third-party data remain subject to the licensing conditions of their original providers and are not redistributed where restrictions apply. 2. Links to related publications The dataset supports a doctoral dissertation archived in the University of Bonn repository: BonnDoc identifier: https://orcid.org/0000-0002-3356-1686 D. METHODOLOGICAL INFORMATION Data collection and processing Trade and trade facilitation indicators were sourced from international databases (e.g., World Bank, UN Comtrade, CEPII, World Economic Forum, Kee metal (2009), Fontagne et al, (2020)) and harmonized for analysis. Climate change impacts were introduced through externally derived crop-level productivity shocks based on peer-reviewed climate-agriculture projections. Economic impacts were simulated using a recursive dynamic CGE model calibrated to the Ethiopian economy. Data transformations Raw data were cleaned, harmonized, and aggregated as required for econometric and CGE analysis. No proprietary raw datasets are redistributed. Transformations are fully documented through scripts and metadata included in the repository. People involved in the processing, analysis and/or submission: all authors File formats: XLSX, TXT, GAMS, STATA E. DATA-SPECIFIC INFORMATION FOR: DATASET FILES I. Folder: 1_trade_facilitation_gravity Subfolder: data_raw/ Description: This subfolder contains raw bilateral trade and trade facilitation indicators, which are sourced from various international databases, including the World Bank, UN Comtrade, CEPII, the World Economic Forum, Kee et al. (2009), and Font gne et al. (2020). Variables and Descriptions: time: Year of observation (format: YYYY) countryname: Name of the country (text format) countrycode: ISO 3-digit country code (text format) tradeflow: Bilateral trade flow between countries, measured in USD millions tariff: Applied tariff rate, expressed as a percentage (%) hs2: Harmonized System 2-digit product code (text format) tradefac_indicator: Trade facilitation indicator (units may vary by data source) Units: Number of days, and index as a combined of different indicators. Missing Data Codes: NA or . indicates missing or unavailable data. Subfolder: data_clean/ Description: This subfolder provides harmonized datasets. Variables and Descriptions: time: Year of observation (YYYY) countryname: Country name (text) countrycode: ISO 3-digit country code (text) tradeflow: Bilateral trade flow (USD millions) tariff: Applied tariff rate (percent %) ave_tradefac: Ad valorem tariff equivalent of trade facilitation (percent %) hs2: Harmonized System 2-digit product code (text) scenario: Simulation scenario (e.g., baseline, counterfactual) Units: USD millions and percent (%) Missing Data Codes: NA or . for missing or unavailable values. Subfolder: code/ Description: Contains STATA scripts used for gravity estimation, ad valorem equivalent (AVE) computation, and counterfactual simulations. These scripts reference the datasets described above; no variables are stored within the scripts themselves. Subfolder: output/AVEs/ Description: This folder holds the estimated ad valorem equivalents of trade facilitation along with simulated trade impact results. Variables and Descriptions: country_pair: Exporter-importer country combination year: Year of observation (YYYY) ave_tradefac: Ad valorem tariff equivalent of trade facilitation (percent %) trade_change_pct: Percent change in trade flow from the baseline scenario (%) Units: Percent (%) Missing Data Codes: NA or . signify missing or unavailable information. II. Folder: 2_CGE_climate_shocks Subfolder: data/ Description: Contains crop-level agricultural productivity shocks, which serve as inputs for climate change simulations. Only processed shocks are included in this folder. Variables and Descriptions: crop_code: Crop identifier (text) year: Year of observation (YYYY) scenario: RCP scenario (RCP4.5 or RCP8.5) productivity_shock: Productivity shock factor, expressed as percent change Units: Percent (%) Missing Data Codes: NA or . for missing or unavailable data. Subfolder: documentation/ Description: Contains notes that describe the construction, interpretation, and use of crop productivity shocks. This folder does not contain dataset variables; it is informational only. Subfolder: mapping/Productivity_shocks/ Description: Provides concordance information linking crops to sectors in the Computable General Equilibrium (CGE) model. Variables: crop_code: Crop identifier CGE_sector: Corresponding CGE model sector (text) III. Folder: 3_CGE_model_climate_change and AfCFTA_Ethiopia Subfolder: parameters/ Description: Contains CGE model parameters and macroeconomic closure settings. Variables: parameter_name: Name of the parameter (text) value: Parameter value (numeric) Units: Unit of measurement (percent, USD, ratio) Description: Description of the parameter (text) Subfolder: model_code/ Description: Includes scenario definitions, auxiliary files, and instructions for running CGE simulations. These files contain GAMS code and do not include explicit dataset variables. Subfolder: simulations_results/ Description: Contains scenario-specific model output data. Variables and Descriptions: scenario: Simulation scenario (e.g., baseline, RCP4.5, RCP8.5, trade policy variants) year: Year of observation (YYYY) GDP: Gross Domestic Product (in USD millions or local currency units) sector_output: Sectoral output (in USD millions or local currency units) trade: Aggregate trade flows (USD millions) household_consumption: Household consumption (USD millions) Units: USD millions and percent (%) for relative changes. Missing Data Codes: NA or . indicates missing or unavailable data. Subfolder: Key-results/ Description: This folder contains aggregated outputs of particular interest for reporting purposes. Variables: scenario: Simulation scenario year: Year GDP: Gross Domestic Product sector_output: Output by sector trade: Trade flows welfare: Welfare indicators (e.g., equivalent variation, percent)household_consumption: Household-level consumption Units: USD millions, percent (%) Missing Data Codes: NA or . for missing/unavailable data. Specialized Formats and Abbreviations Used Across Dataset: HS2: Harmonized System 2-digit product code AVE: Ad valorem equivalent of trade facilitation measure RCP4.5 / RCP8.5: Climate change representative concentration pathways used for productivity shocks CGE: Computable General Equilibrium model SAM: Social Accounting Matrix (Ethiopia) NA or .: Missing or unavailable data