Software
Open Source Software
Neer Match: NEuro-symbolic Entity Reasoning and Matching. with Liebald, M. .
Abstract:
The Neer Match package provides tools to generate and fit Artificial Neural Networks for entity/record matching using neurosymbolic learning based on customizable similarity encodings. The similarity encodings instruct the constructed models on associating multiple fields from two datasets using similarity functions. The package offers a machine learning-driven probabilistic matching process extending uni-dimensional fuzzy matching that can intrinsically reason about its matching recommendations. The matching approach can be easily adjusted and allows embedding domain knowledge for various entity-matching settings.
Keywords:
Entity matching, Entity resolution, Database linking, Machine learning, Record resolution, Similarity encoding
structural-schooling: Gender Labor Biased Technological Change with Schooling. (2023). with Reimers, P. .
Abstract:
The structural-schooling repository provides a collection of modular scripts used to calibrate an economic model of technological structural changes with households comprised of two individuals with distinct genders with endogenous schooling choices. The model is semi-analytically solvable, and the optimization procedure for approximating its solutions is nested in the calibration procedure. The model is part of the work on gender schooling differences by Karapanagiotis & Reimers (2024). It combines the structural change elements of the model of Ngai & Petrongolo (2017), the educational choice elements of Restuccia & Vandenbroucke (2014), and the seminal work of Kongsamut, Rebelo, & Xie (2001) on non-homothetic preferences.
Keywords:
Development, Education, general equilibrium, Structural change
markets: Estimation Methods for Markets in Equilibrium and Disequilibrium. In CRAN. (2021).
Abstract:
Provides estimation methods for markets in equilibrium and disequilibrium. Supports the estimation of an equilibrium and four disequilibrium models with both correlated and independent shocks. Also provides post-estimation analysis tools, such as aggregation, marginal effect, and shortage calculations. The estimation methods are based on full information maximum likelihood techniques given in Maddala and Nelson (1974) <doi:10.2307/1914215>. They are implemented using the analytic derivative expressions calculated in Karapanagiotis (2020) <doi:10.2139/ssrn.3525622>. Standard errors can be estimated by adjusting for heteroscedasticity or clustering. The equilibrium estimation constitutes a case of a system of linear, simultaneous equations. The disequilibrium models, instead, replace the market-clearing condition with a non-linear, short-side rule and allow for different specifications of price dynamics.
Keywords:
Disequilibrium, full-information-maximum-likelihood, market-clearing
rad: Radial Attention Model. (2019).
Abstract:
The code implements a simple version of the radial attention model and solves it. The solver is based on a concurrent re-formulation of the value function iteration algorithm. Further, it uses an adaptive search grid implementation to provide more accurate optimal control approximations. For more implementation details see the documentation.
Keywords:
attentional costs, endogenous choice sets, learning, radial attention, value function iteration
Proprietary Software
Resolution.
Abstract:
Database-driven Business Management Software. Budget and accounting management. Sole proprietorship and consulting solution.