Implementing a strategy to reduce the instrument count in panel GMM
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Cited by:
- Njamen Kengdo Arsène Aurelien & Nchofoung Tii N. & Kos A Mougnol Alice, 2023. "Determinants of Military Spending in Africa: Do Institutions Matter?," Peace Economics, Peace Science, and Public Policy, De Gruyter, vol. 29(4), pages 401-440, December.
- Joshy Easaw & Roberto Golinelli, 2022. "Professionals Inflation Forecasts: The Two Dimensions Of Forecaster Inattentiveness [“Sectoral and aggregate inflation dynamics in the euro area”]," Oxford Economic Papers, Oxford University Press, vol. 74(3), pages 701-720.
- R. Golinelli & I. Mammi & A. Musolesi, 2018. "Parameter heterogeneity, persistence and cross-sectional dependence: new insights on fiscal policy reaction functions for the Euro area," Working Papers wp1120, Dipartimento Scienze Economiche, Universita' di Bologna.
- Bayar, Omer, 2018. "Weak instruments and estimated monetary policy rules," Journal of Macroeconomics, Elsevier, vol. 58(C), pages 308-317.
- Bontempi, Maria Elena & Bottazzi, Laura & Golinelli, Roberto, 2020. "A multilevel index of heterogeneous short-term and long-term debt dynamics," Journal of Corporate Finance, Elsevier, vol. 64(C).
- Masca, Simona-Gabriela & Chis, Diana-Maria, 2023. "Distributional implications of informal economy in the EU countries: Accounting for the spread of tax evasion benefits and cultural characteristics," Socio-Economic Planning Sciences, Elsevier, vol. 87(PB).
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Keywords
pca2; proliferation of instruments; principal component analysis; panel data; generalized method of moments;All these keywords.
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