Population aging in middle-income economies produces macroeconomic and distributional consequences that aggregate frameworks cannot detect. This paper develops a multi-household CGE model calibrated to a 26-sector Social Accounting Matrix for Thailand (2024) and traces the labor, saving, and...

This paper shows how changes in labor market mismatch can be attributed to the components unemployment, vacancies and matching efficiency. We find that unemployment is the most important factor and also drives the cyclical fluctuations, while the vacancy contributions are smaller and...

This paper examines how suppliers adjust their decarbonization choices when major customers obtain validated emission-reduction targets. Using global supplier-customer links matched to firm-level emissions and project-level data from voluntary carbon registries, the analysis shows that...

Financial risk early warning systems are essential for proactive risk management in volatile markets, particularly for emerging economies such as China. This study develops a hybrid deep learning model integrating Convolutional Neural Networks (CNNs), Long Short-Term Memory (LSTM), and Gated...

Projecting the effects of proposed policy reforms is challenging because no outcome data exist for regulations that governments have not yet implemented. We propose an ex ante deep learning framework that can project effects of proposed reforms by mapping outcomes observed under past regulations...

Canada's strategy for its commitment to substantially increasing defence spending over the period to 2035 will face challenges; its ability to have its defence industrial base to fill that demand is impacted by Canada's existing capacity; in an innovation-intensive era defined by machine...