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This chapter presents a unified set of estimation methods for fitting a rich array of models describing dynamic … chapter is motivated by the principle that, whenever possible, estimation methods should rely on routines available in … sampling inherent in survey longitudinal data, (3) incorporation of predetermined variables in estimation, and (4 …
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The three most popular univariate conditional volatility models are the generalized autoregressive conditional heteroskedasticity (GARCH) model of Engle (1982) and Bollerslev (1986), the GJR (or threshold GARCH) model of Glosten, Jagannathan and Runkle (1992), and the exponential GARCH (or...
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derivatives, and hence does not permit (quasi-) maximum likelihood estimation. It is shown in this paper for the non-leverage case …
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building are parameter estimation and evaluation that are also briefly considered. There are two possibilities of generating …
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We provide an overview of recent empirical research on patterns of cross-country growth. The new empirical regularities considered differ from earlier ones, e.g., the well-known Kaldor stylized facts. The new research no longer makes production function accounting a central part of the analysis....
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Economists often seek to estimate unobserved variables, representing “equilibrium” or “expected” values of economic variables, as benchmarks against which observed, realised values of these variables may be evaluated. Such comparisons are often used as economic policy indicators, for...
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