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Efficient and robust inference of models with occasionally binding constraints

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Abstract

This paper proposes a piecewise-linear Kalman filter (PKF) to estimate DSGE models with occasionally binding constraints. This method expands the set of models suitable for nonlinear estimation. It straightforwardly handles missing data, non-singularity (more shocks than observed time series), and large-scale models. We provide several applications to highlight its efficiency and robustness compared to existing methods. Our toolkit integrates the PKF into Dynare, the most popular software in DSGE modeling.

Suggested Citation

  • Giovannini, Massimo & Pfeiffer, Philipp & Ratto, Marco, 2021. "Efficient and robust inference of models with occasionally binding constraints," Working Papers 2021-03, Joint Research Centre, European Commission.
    • Handle: RePEc:jrs:wpaper:202103
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    Cited by:

    1. Cardani, Roberta & Croitorov, Olga & Giovannini, Massimo & Pfeiffer, Philipp & Ratto, Marco & Vogel, Lukas, 2022. "The euro area’s pandemic recession: A DSGE-based interpretation," Journal of Economic Dynamics and Control, Elsevier, vol. 143(C).
    2. Cardani, Roberta & Croitorov, Olga & Giovannini, Massimo & Pfeiffer, Philipp & Ratto, Marco & Vogel, Lukas, 2021. "The Euro Area's pandemic recession: A DSGE interpretation," Working Papers 2021-10, Joint Research Centre, European Commission.
    3. Dr. Matthias Burgert & Philipp Pfeiffer & Werner Roeger, 2021. "Fiscal policy in a monetary union with downward nominal wage rigidity," Working Papers 2021-16, Swiss National Bank.
    4. Croitorov, Olga & Giovannini, Massimo & Pfeiffer, Philipp & Ratto, Marco & Vogel, Lukas, 2022. "Fiscal Stabilisation in a Low-Interest and High-Debt Environment," VfS Annual Conference 2022 (Basel): Big Data in Economics 264142, Verein für Socialpolitik / German Economic Association.

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    More about this item

    Keywords

    DSGE; occasionally binding constraints; nonlinear estimation; Piecewise Kalman Filter;
    All these keywords.

    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation

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