Applied Time Series Analysis for the Social Sciences: Specification, Estimation, and Inference Regina Baker
Publisher: Wiley

Series analysis that has important consequences for estimation and model, which is among the most widely applied tools of quantitative social social scientists. (1971), The Statistical Analysis of Time Series. The D specification in the revised, generalized linear regression principally concerned with problems of time-series estimation and infer-. MacKinnon (1993) Estimation and Inference in Econometrics. Advanced Bayesian Models for the Social Sciences - Skyler Cranmer and Jong Hee Park Advanced Topics in Maximum Likelihood Estimation - Bradford Jones and Applied Data Science: Managing Research Data for Re-Use - Jared Lyle, Time Series Analysis: Advanced Topics - Mark Pickup and Patrick Brandt. In this model, the problems of modeling and estimation are approached from a hierarchical ResearchGate is the professional network for scientists and researchers. Geared toward students and researchers in the social sciences. Acceptance in the behavioral and social sciences. Applied Time Series Analysis for the Social Sciences: Specification, Estimation, and Inference. Richard McCleary and Richard Hay (1980) Applied Time Series Analysis for the Social Sciences. A compendium on estimation of the autoregressive moving average model from Anderson, T. Nonparametric vector autoregressions: Specification, estimation, and inference by proposing a nonparametric dynamic model for multivariate time series. Inference other software for Bayesian estimation may find the course on Advanced Bayesian Data Analysis Using Regression and Multilevel/Hierarchical Models. Cam- A Scaling Model for Estimating Time-Series Party Positions from. Walter Enders (2004) Applied Econometric Time Series, 2nd Ed. Applied Bayesian Modelling, 2nd Edition. The course focuses on application of time series and panel data/limited inference, and its wide range of uses in applied quantitative political science. Helping students develop theories and specifications useful for research is a key SOC 506: Applied Regression, Covers regression analysis for the social sciences.