Do we need firm data to understand macroeconomic dynamics?
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- repec:ecb:ecbdps:202527 is not listed on IDEAS
- Pesce, Simone & Errico, Marco & Pollio, Luigi, 2025. "Nonlinearities and heterogeneity in firms response to aggregate fluctuations: what can we learn from machine learning?," Working Paper Series 3107, European Central Bank.
- Friederike Fourné & Lara Zarges, 2025. "Identifying Macroeconomic Shocks Using Firm-Level Data: Material Shortages in The German Manufacturing Sector," ifo Working Paper Series 418, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
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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
- C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
- C54 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Quantitative Policy Modeling
- E22 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Investment; Capital; Intangible Capital; Capacity
- E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
NEP fields
This paper has been announced in the following NEP Reports:- NEP-BEC-2024-08-19 (Business Economics)
- NEP-EEC-2024-08-19 (European Economics)
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