This paper evaluates the greenhouse gas emissions and economic impacts from producing biofuels in Tanzania. Sequentially-linked models capture natural resource constraints; emissions from land use change; economywide growth linkages; and household poverty. Results indicate that there are economic...

This paper investigates the trade effects of transportation infrastructure reforms funded by the Asian Development Bank (ADB) in the Central Asia Regional Economic Cooperation (CAREC) program. To do this, we applied a combination of geographic information systems (GIS), econometric, and...

Remittances are an important source of external financing in Pakistan, amounting to around 10% of gross domestic product in 2021. As such, an appropriate understanding of the key macroeconomic drivers of remittances has important policy implications. Combining a database of bilateral remittances...

This study examines the role of government pay rates in economic growth. A trend decline in government pay rates, expressed relative to what an economy can afford, is identified in many developing countries. The decline is attributed to the erosion of economic rents. Drawing on the theoretical...

Data indicate that its domestic price in Indonesia has been increasing regardless of movements in the international price of wheat. A test for asymmetric price transmission from international wheat to domestic wheat flour markets is conducted using an error correction model and find the presence...

Gauging foreign (domestic) biases as the deviation of foreign (domestic) investors' actual portfolio allocation of a bond market from the same bond market's weight in global bond market, we investigate the determinants of foreign and domestic investment biases in 41 global bond markets. We find...

The lack of suitable data is a key challenge in ex-post policy evaluations. This paper proposes a novel data to measure local economic activities using vehicle counts in each 500 meter (m) x 500 m tile. The metric is derived from high resolution satellite images using a machine learning...