Econometric software: a user's view

Article Abstract:

Econometricians need to determine the type of analysis, amount of manipulation and programming desired to decide on the kind of software needed. Seven packages of varying utility are described according to form, function and compatibility with nplatforms. These included SAS, Gauss, TSP, Stata, SST, Regression Analysis for Time Series (RATS) and Limdep. SAS is recommended for data handling, SST and Stata for one-time use, TSP for refinement of data and RATS and Limdep for more in-depth analysis. Gauss is recommended if extensive programming is desired.

Evaluation, Software, Regression Analysis for Time Series (Data analysis software), Limdep (Data analysis software), Gauss (Data analysis software), SAS Application System (Data analysis software), TSP50C10 evaluation module (Data analysis software), SST: THe Seek Stopper 2.01 (Data analysis software), Stata (Data analysis software)

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The past, present, and future of macroeconomic forecasting

Article Abstract:

Macroeconomic forecasting models continue to evolve over time. While the early macroeconomic forecasting theories failed to live up to expectations, they nevertheless paved the way for the development of more sophisticated techniques. This was evident in the case of the Keynesian theory of the 1930s and 1940s, whose decline was followed by the advent of both structural and nonstructural macroeconomic forecasting. These trends are a strong indication that macroeconomic forecasting will always be a part of economics analysis.

Forecasts and trends, Economic forecasting, Macroeconomics

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Mismeasured variables in econometric analysis: problems from the right and problems from the left

Article Abstract:

Three new developments for the effect of mismeasurement on econometric models are discussed. This work also looked at mismeasured left-hand side variables, with particular attention to issues in binary choice models and duration models. It is suggested that mismeasurement in the left-hand side variable can have a significant impact on duration models.

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