Dealing with endogeneity in a time‐varying parameter model: joint estimation and two‐step estimation procedures
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DOI: j.1368-423X.2011.00353.x
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Cited by:
- Ruben Hipp, 2020. "On Causal Networks of Financial Firms: Structural Identification via Non-parametric Heteroskedasticity," Staff Working Papers 20-42, Bank of Canada.
- Paniagua, Jordi & Sapena, Juan & Tamarit, Cecilio, 2017.
"Fiscal sustainability in EMU countries: A continued fiscal commitment?,"
Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 50(C), pages 85-97.
- Jordi Paniagua & Juan Sapena & Cecilio Tamarit, 2016. "Fiscal Sustainability in EMU contries: A continued Fiscal commitment?," Working Papers 1608, Department of Applied Economics II, Universidad de Valencia.
- Baik, Hyeoncheol & Han, Sumin & Joo, Sunghoon & Lee, Kangbok, 2022. "A bank's optimal capital ratio: A time-varying parameter model to the partial adjustment framework," Journal of Banking & Finance, Elsevier, vol. 142(C).
- Guhl, Daniel, 2019. "Addressing endogeneity in aggregate logit models with time-varying parameters for optimal retail-pricing," European Journal of Operational Research, Elsevier, vol. 277(2), pages 684-698.
- Meryem Duygun & Levent Kutlu & Robin C. Sickles, 2016. "Measuring productivity and efficiency: a Kalman filter approach," Journal of Productivity Analysis, Springer, vol. 46(2), pages 155-167, December.
- Gilles Dufrénot & Aurélia Jambois & Laurine Jambois & Guillaume Khayat, 2016.
"Regime-Dependent Fiscal Multipliers in the United States,"
Open Economies Review, Springer, vol. 27(5), pages 923-944, November.
- Gilles Dufrénot & Aurélia Jambois & Laurine Jambois & Guillaume Khayat, 2016. "Regime-Dependent Fiscal Multipliers in the United States," Post-Print hal-01447865, HAL.
- Bhatt, Vipul & Kishor, Kundan & Marfatia, Hardik, 2017. "Estimating excess sensitivity and habit persistence in consumption using Greenbook forecast as an instrument," MPRA Paper 79748, University Library of Munich, Germany.
- Kutlu, Levent, 2017. "A constrained state space approach for estimating firm efficiency," Economics Letters, Elsevier, vol. 152(C), pages 54-56.
- Vipul Bhatt & N. Kundan Kishor & Hardik Marfatia, 2020. "Estimating Excess Sensitivity and Habit Persistence in Consumption Using Greenbook Forecasts," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 82(2), pages 257-284, April.
- Gerdie Everaert & Lorenzo Pozzi & Ruben Schoonackers, 2017.
"On the Stability of the Excess Sensitivity of Aggregate Consumption Growth in the USA,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(4), pages 819-840, June.
- Gerdie Everaert & Lorenzo Pozzi & Ruben Schoonackers, 2016. "On The Stability Of The Excess Sensitivity Of Aggregate Consumption Growth In The Us," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 16/917, Ghent University, Faculty of Economics and Business Administration.
- Duygun, Meryem & Kutlu, Levent & Sickles, Robin C., 2014. "Measuring Productivity and Efficiency: A Kalman," Working Papers 15-010, Rice University, Department of Economics.
- Tore Dubbert, 2022. "Stochastic debt sustainability analysis using time-varying fiscal reaction functions. An agnostic approach to fiscal forecasting," CQE Working Papers 10422, Center for Quantitative Economics (CQE), University of Muenster.
- Naveedullah Mulaessa & Lefen Lin, 2021. "How Do Proactive Environmental Strategies Affect Green Innovation? The Moderating Role of Environmental Regulations and Firm Performance," IJERPH, MDPI, vol. 18(17), pages 1-19, August.
- Malin Gardberg & Lorenzo (L.C.G.) Pozzi, 2018. "Consumption and wealth in the long run: an integrated unobserved component approach," Tinbergen Institute Discussion Papers 18-046/VI, Tinbergen Institute, revised 13 Sep 2018.
- Gießler, Stefan, 2020. "The evolution of monetary policy in Latin American economies: Responsiveness to inflation under different degrees of credibility," IWH Discussion Papers 9/2020, Halle Institute for Economic Research (IWH).
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