A HERDING-BASED MODEL OF TECHNOLOGICAL TRANSFER AND ECONOMIC CONVERGENCE: EVIDENCE FROM CENTRAL AND EASTERN EUROPE

Battle Count: 80

The paper is primarily a macroeconomic growth theory contribution. While it models long-term productivity dynamics relevant to country-level economic outlooks, it does not address short-term market dynamics, asset pricing, or trading strategies. The convergence parameters could theoretically inform long-horizon country allocation decisions, but the model operates at annual/decadal timescales far removed from typical quantitative trading horizons.

The core model is an ODE with an explicit analytical solution (Eq. 19), making it computationally simple. Fitting requires a standard nonlinear least-squares procedure (Levenberg-Marquardt). The main complexity lies in data preparation from OECD sources and understanding the herding model derivation. No specialized ML infrastructure is needed; standard numerical optimization suffices.

The model is analytically tractable with explicit solutions provided. Data source (OECD Productivity Database) is publicly available. Fitting method (Levenberg-Marquardt least squares) is standard. However, no code repository is provided, and the exact data extraction/preprocessing steps are not fully detailed. Parameter values for reference countries (Germany, US) are given, enabling partial replication.