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Management Sciences and Quantitative Methods

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Full-Text Articles in Econometrics

Empirical Methods-A Review: With An Introduction To Data Mining And Machine Learning, Matt Bogard May 2011

Empirical Methods-A Review: With An Introduction To Data Mining And Machine Learning, Matt Bogard

Economics Faculty Publications

This presentation was part of a staff workshop focused on empirical methods and applied research. This includes a basic overview of regression with matrix algebra, maximum likelihood, inference, and model assumptions. Distinctions are made between paradigms related to classical statistical methods and algorithmic approaches. The presentation concludes with a brief discussion of generalization error, data partitioning, decision trees, and neural networks.


The Relationship Between Poverty And Economic Growth Revisited, Lonnie K. Stevans, David N. Sessions Mar 2008

The Relationship Between Poverty And Economic Growth Revisited, Lonnie K. Stevans, David N. Sessions

Lonnie K. Stevans

It has been shown in prior research that increased economic growth reduces poverty. Authors have also found that the effect of growth in GDP on poverty growth has either diminished or remained unchanged over time and the 1980s economic expansion in the U.S. had no affect on poverty. Using a formal error-correction model, we find that increases in economic growth are significantly related to reductions in the poverty rate for all families. Specifically, GDP growth was found to have a more pronounced effect on poverty during the expansionary periods of the 1960s, 1970s, 1980s, 1990s, and 2000s. Other findings include …


Aggregate Consumption Spending, The Stock Market, And Asymmetric Error Correction, Lonnie K. Stevans Jan 2004

Aggregate Consumption Spending, The Stock Market, And Asymmetric Error Correction, Lonnie K. Stevans

Lonnie K. Stevans

In this study, we show how changes in wealth resulting from unanticipated changes in the value of equity holdings begin a process whereby households alter consumption growth in order to close the gap between actual and target spending. Because of changing uncertainty or equity price volatility over the stock market cycle, we found the time path of this adjustment to exhibit near random walk behavior during stock market downturns. Conversely, during “boom” periods, e.g. when the value of equities held by households was greater than the threshold, the growth in consumer spending was quick to eliminate the disparity between actual …