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References

Allaire, JJ, Yihui Xie, Christophe Dervieux, Jonathan McPherson, Javier Luraschi, Kevin Ushey, Aron Atkins, et al. 2023. rmarkdown: Dynamic Documents for R (version 2.25). https://github.com/rstudio/rmarkdown.
Bollerslev, Tim. 1986. Generalized Autoregressive Conditional Heteroskedasticity.” Journal of Econometrics 31 (3): 307–27.
Card, D. 1993. “Using Geographic Variation in College Proximity to Estimate the Return to Schooling.” National Bureau of Economic Research.
Card, D., and Alan B. Krueger. 1994. Minimum Wages and Employment: A Case Study of the Fast-Food Industry in New Jersey and Pennsylvania.” The American Economic Review 84 (4): 772–93.
Chow, Gregory C. 1960. Tests of Equality Between Sets of Coefficients in Two Linear Regressions.” Econometrica 28 (3): 591–605.
Cochrane, D., and G. H Orcutt. 1949. Application of Least Squares Regression to Relationships Containing Auto-Correlated Error Terms.” Journal of the American Statistical Association 44 (245): 32–61. https://doi.org/10.1080/01621459.1949.10483290.
Croissant, Yves, Giovanni Millo, and Kevin Tappe. 2023. plm: Linear Models for Panel Data (version 2.6-3). https://cran.r-project.org/package=plm.
Dickey, David A., and Wayne A. Fuller. 1979. Distribution of the Estimators for Autoregressive Time Series with a Unit Root.” Journal of the American Statistical Association 74 (366): pp. 427–431.
Elliott, Graham, Thomas J Rothenberg, and James H Stock. 1996. Efficient Tests for an Autoregressive Unit Root.” Econometrica 64 (4): 813–36.
Engle, Robert. 1982. “Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation.” Econometrica 50 (4): 987–1007.
Engle, Robert, and Clive Granger. 1987. Co-integration and Error Correction: Representation, Estimation and Testing.” Econometrica 55 (2): 251–76.
Genz, Alan, Frank Bretz, Tetsuhisa Miwa, Xuefei Mi, and Torsten Hothorn. 2023. mvtnorm: Multivariate Normal and t Distributions (version 1.2-3). http://mvtnorm.R-forge.R-project.org.
Granger, C. W. J. 1969. Investigating Causal Relations by Econometric Models and Cross-Spectral Methods.” Econometrica 37: 424–38.
Heiss, Florian. 2016. Using R for Introductory Econometrics. CreateSpace Independent Publishing Platform. http://www.urfie.net/.
Hlavac, Marek. 2022. Stargazer: Well-Formatted Regression and Summary Statistics Tables. Bratislava, Slovakia: Social Policy Institute. https://CRAN.R-project.org/package=stargazer.
Hyndman, Rob, George Athanasopoulos, Christoph Bergmeir, Gabriel Caceres, Leanne Chhay, Kirill Kuroptev, Mitchell O’Hara-Wild, et al. 2023. forecast: Forecasting Functions for Time Series and Linear Models (version 8.21.1). https://pkg.robjhyndman.com/forecast/.
Kleiber, Christian, and Achim Zeileis. 2008. Applied Econometrics with R. New York: Springer-Verlag. https://CRAN.R-project.org/package=AER.
Kleiber, C., and A. Zeileis. 2008. Applied Econometrics with R. Springer.
MacKinnon, James G, and Halbert White. 1985. Some heteroskedasticity-consistent covariance matrix estimators with improved finite sample properties.” Journal of Econometrics 29 (3): 305–25.
Newey, Whitney K., and Kenneth D. West. 1987. A Simple, Positive Semi-Definite, Heteroskedasticity and Autocorrelation Consistent Covariance Matrix.” Econometrica 55: 703–8.
Pfaff, B. 2008. Analysis of Integrated and Cointegrated Time Series with r. Second. New York: Springer. https://www.pfaffikus.de.
Pfaff, Bernhard. 2023. vars: VAR Modelling (version 1.5-9). https://www.pfaffikus.de.
Pinheiro, José, Douglas Bates, and R Core Team. 2023. nlme: Linear and Nonlinear Mixed Effects Models (version 3.1-162). https://svn.r-project.org/R-packages/trunk/nlme/.
Quandt, Richard E. 1960. Tests of the Hypothesis That a Linear Regression System Obeys Two Separate Regimes.” Journal of the American Statistical Association 55 (290): 324–30. https://doi.org/10.1080/01621459.1960.10482067.
R Core Team. 2023. R: A Language and Environment for Statistical Computing. Vienna, Austria: R Foundation for Statistical Computing. https://www.R-project.org/.
Ripley, Brian. 2023. MASS: Support Functions and Datasets for Venables and Ripley’s MASS (version 7.3-60). http://www.stats.ox.ac.uk/pub/MASS4/.
Ryan, Jeffrey A., and Joshua M. Ulrich. 2023. quantmod: Quantitative Financial Modelling Framework (version 0.4.25). http://www.quantmod.com.
Stefano, Spada, Matteo Quartagno, Marco Tamburini, and David Robinson. 2018. orcutt: Estimate Procedure in Case of First Order Autocorrelation. https://CRAN.R-project.org/package=orcutt.
Stigler, Matthieu, and Bastiaan Quast. 2022. rddtools: Toolbox for Regression Discontinuity Design (RDD) (version 1.6.0). https://qua.st/rddtools/.
Stock, J. H., and M. W. Watson. 2015. Introduction to Econometrics, Third Update, Global Edition. Pearson Education Limited.
Venables, W. N., and D. M. Smith. 2010. An Introduction to R. https://cran.r-project.org/doc/manuals/r-release/R-intro.pdf.
White, Halbert. 1980. A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity.” Econometrica 48 (4): pp. 817–838.
Wickham, Hadley, and Jennifer Bryan. 2023. readxl: Read Excel Files (version 1.4.3). https://readxl.tidyverse.org.
Wickham, Hadley, Romain François, Lionel Henry, Kirill Müller, and Davis Vaughan. 2023. dplyr: A Grammar of Data Manipulation (version 1.1.3). https://dplyr.tidyverse.org.
Wickham, Hadley, and Dana Seidel. 2022. scales: Scale Functions for Visualization (version 1.2.1). https://scales.r-lib.org.
Wickham, Hadley, Davis Vaughan, and Maximilian Girlich. 2023. tidyr: Tidy Messy Data (version 1.3.0). https://tidyr.tidyverse.org.
Wooldridge, Jeffrey. 2016. Introductory Econometrics. Sixth. Cengage Learning.
Wuertz, Diethelm, Yohan Chalabi, Tobias Setz, Martin Maechler, and Georgi N. Boshnakov. 2023. fGarch: Rmetrics - Autoregressive Conditional Heteroskedastic Modelling (version 4031.90). https://www.rmetrics.org.
Xie, Yihui. 2023a. bookdown: Authoring Books and Technical Documents with R Markdown (version 0.36). https://github.com/rstudio/bookdown.
———. 2023b. knitr: A General-Purpose Package for Dynamic Report Generation in R (version 1.45). https://yihui.org/knitr/.
Zeileis, Achim. 2019. dynlm: Dynamic Linear Regression. https://CRAN.R-project.org/package=dynlm.