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This work examines theoretical issues, as well as practical developments in statistical inference related to econometric models and analysis. This work offers discussions on such areas as the function of statistics in aggregation, income inequality, poverty, health, spatial econometrics, panel and survey data, bootstrapping and time series.
Econometrics: A Simple Introduction offers an accessible guide to the principles and methods of econometrics, with data samples, regressions, equations and diagrams to illustrate the analysis. Examine a linear and multiple regression model, ordinary least squares method, and the Gauss-Markov conditions for a best linear unbiased estimator. Understand hypothesis testing, with a null hypothesis, t, F or chi-square test statistics and distributions, and interpret regression results. Dummy variables model qualitative data and Chow tests assess regression equivalence. Explore heteroscedasticity with the White method and with generalized least squares, Goldfeld-Quandt, Breusch-Pagan, and White tests. Assess autocorrelation with Durbin-Watson, Durbin h, and Breusch-Godfrey tests, lagged variables and auxiliary regressions. Assess the impact of omitted variables, incorrect variables or functional form, and a non-normal distribution with Ramsey RESET and Jarque-Bera tests. Model random variables with the Method of Moments’ estimators, instrumental variables and Hausman test.
Reflecting current technological capacities and analytical trends, Computational Methods in Statistics and Econometrics showcases Monte Carlo and nonparametric statistical methods for models, simulations, analyses, and interpretations of statistical and econometric data. The author explores applications of Monte Carlo methods in Bayesian estimation, state space modeling, and bias correction of ordinary least squares in autoregressive models. The book offers straightforward explanations of mathematical concepts, hundreds of figures and tables, and a range of empirical examples. A CD-ROM packaged with the book contains all of the source codes used in the text.
This book is intended to provide a somewhat more comprehensive and unified treatment of large sample theory than has been available previously and to relate the fundamental tools of asymptotic theory directly to many of the estimators of interest to econometricians. In addition, because economic data are generated in a variety of different contexts (time series, cross sections, time series--cross sections), we pay particular attention to the similarities and differences in the techniques appropriate to each of these contexts.
Coverage has been extended to include recent topics. The book again presents a unified treatment of economic theory, with the method of maximum likelihood playing a key role in both estimation and testing. Exercises are included and the book is suitable as a general text for final-year undergraduate and postgraduate students.
How to interpret and evaluate economic forecasts and the uncertainties inherent in them.
David Gleicher and Lonnie Stevans present a theory of occupational wage rates that is a classical alternative to human capital theory. They introduce the net employment reserve, a novel explanatory variable that measures the bargaining power of employees in an occupation. An econometric model which includes net reserves is designed and tested. Results suggest standard empirical tests of human capital theory are misspecified. Other topics include: the origin of the firm, screening hypothesis, wage-efficiency, internal labor markets, and labor-market segmentation. This work offers insight into the theoretical and econometric modeling of labor specialization, as well as wage-rate differentials among occupations. It addresses researchers and graduate students in labor economics, classical price theory, and general political economy. Gleicher and Stevans design an empirical study of the determination of occupational wage-rates, testing the net reserve against other hypothesized variables. Their first two chapters model relative wage rates within a broad classical conception: a simple model of relative prices is extended by incorporating relative wage rates according to occupation and training services. (The authors discuss the implications of these extensions with regard to the labor theory of value.) A testable hypothesis is put forth in Chapters 3 and 4. The fifth and final chapter presents econometric results.