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  • Stan: A Probabilistic Progr... Stan: A Probabilistic Programming Language for Bayesian Inference and Optimization
    Gelman, Andrew; Lee, Daniel; Guo, Jiqiang Journal of educational and behavioral statistics, 10/2015, Letnik: 40, Številka: 5
    Journal Article
    Recenzirano

    Stan is a free and open-source C++ program that performs Bayesian inference or optimization for arbitrary user-specified models and can be called from the command line, R, Python, Matlab, or Julia ...
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  • The individual Laffer curve... The individual Laffer curve: evidence from the Spanish income tax
    Gamarra Rondine, Ana; Sanz-Sanz, José Félix; Arrazola, María Empirical economics, 07/2024
    Journal Article
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    Abstract This paper characterises the Laffer curve of each individual taxpayer in a schedular multi-rate income tax with income shifting. Analytical expressions for the revenue-maximising tax rate ...
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484.
  • QUANTIFYING CONFIDENCE QUANTIFYING CONFIDENCE
    Angeletos, George-Marios; Collard, Fabrice; Dellas, Harris Econometrica, September 2018, Letnik: 86, Številka: 5
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    We develop a tractable method for augmenting macroeconomic models with autonomous variation in higher-order beliefs. We use this to accommodate a certain type of waves of optimism and pessimism that ...
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485.
  • Capturing the science behin... Capturing the science behind the craft: a reporting framework to improve quality and confidence in nonsimulated models
    Turner, Benjamin L.; Goodman, Michael System dynamics review, 11/2023
    Journal Article
    Recenzirano

    Abstract Qualitative nonsimulated models (causal loop diagrams, stock‐flow diagrams, or hybrids of both) have been used since within a decade after the inception of system dynamics (SD). In this ...
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  • This must be the place: loc... This must be the place: local amenities and superstars’ wages
    Filomena, Mattia; Principe, Francesco Empirical economics, 07/2024
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    Abstract We investigate the role of local amenities in shaping compensating wage differentials in labor market populated by high-skilled workers. Using 10 years of longitudinal data on workers ...
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