Finite-State Markov Chains with Flexible Distributions

Author:

Lkhagvasuren DambaORCID,Bataa Erdenebat

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Economics, Econometrics and Finance (miscellaneous)

Reference30 articles.

1. Adda, J., & Cooper, R. (2003). Dynamic economics: Quantitative methods and applications. Cambridge, MA: MIT Press.

2. Biscarri, W., Zhao, S. D., & Brunner, R. J. (2018). A simple and fast method for computing the Poisson binomial distribution function. Computational Statistics and Data Analysis, 122, 92–100.

3. Bloom, N., Floetotto, M., Jaimovich, N., Saporta-Eksten, I., & Terry, S. J. (2010). Really uncertain business cycles. Econometrica, 86(3), 1031–1065.

4. Bonhomme, S., & Robin, J. M. (2010). Generalized non-parametric deconvolution with an application to earnings dynamics. Review of Economic Studies, 77(2), 491–533.

5. Census Bureau (2020) Annual geographic mobility rates, by type of movement: 1948–2020 (Table A-1). retrieved from CPS Historical Migration/Geographic Mobility Tables, U.S. Census Bureau, https://www.census.gov/data/tables/time-series/demo/geographic-mobility/historic.html.

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