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Articles 1 - 6 of 6
Full-Text Articles in Econometrics
The Chow Test With Time Series-Cross Section Data, James K. Binkley, Jeffrey Young
The Chow Test With Time Series-Cross Section Data, James K. Binkley, Jeffrey Young
Faculty & Staff Research and Creative Activity
The Chow test is a standard method to test for differences in regression response across groups. In some cases, the groups being tested are composed of a time series of cross sections. If the individual units within the groups have systematic differences, the Chow test is compromised: individual and group effects become confounded. This can cause rejections in the absence of the group effect of interest. We illustrate the problem with Monte Carlo analyses, and propose an alternative bootstrap-like testing procedure that helps eliminate excessive Type I errors.
Data Driven Value-At-Risk Forecasting Using A Svr-Garch-Kde Hybrid, Marius Lux, Wolfgang Karl Hardle, Stefan Lessmann
Data Driven Value-At-Risk Forecasting Using A Svr-Garch-Kde Hybrid, Marius Lux, Wolfgang Karl Hardle, Stefan Lessmann
Sim Kee Boon Institute for Financial Economics
Appropriate risk management is crucial to ensure the competitiveness of financial institutions and the stability of the economy. One widely used financial risk measure is value-at-risk (VaR). VaR estimates based on linear and parametric models can lead to biased results or even underestimation of risk due to time varying volatility, skewness and leptokurtosis of financial return series. The paper proposes a nonlinear and nonparametric framework to forecast VaR that is motivated by overcoming the disadvantages of parametric models with a purely data driven approach. Mean and volatility are modeled via support vector regression (SVR) where the volatility model is motivated …
Commodities Are Not Industries! A Value Chain Example, Randall W. Jackson, Patricio Aroca
Commodities Are Not Industries! A Value Chain Example, Randall W. Jackson, Patricio Aroca
Regional Research Institute Working Papers
Leontief and Stone both received Nobel Prizes in Economics for development and extension of input-output (IO) analysis, a framework that has gained little traction in mainstream U.S. economics. Although IO modeling has gained renewed focus in several problem domains, many contemporary economists eschew Stone's enhancements, resulting in inconsistent analytics, even in top economics journals. In this paper, we use an increasingly common approach to value chain analysis as one example that demonstrates such conceptual misunderstandings and by presenting properly formulated alternatives, we demonstrate the extent of the consequences of neglecting the Stone enhancements and important role of reproducing results.
Regional Household Economic Stress And Retail Sales Fluctuations, Thomas M. Fullerton Jr., Ana P. Gutierrez-Zubiate
Regional Household Economic Stress And Retail Sales Fluctuations, Thomas M. Fullerton Jr., Ana P. Gutierrez-Zubiate
Departmental Papers (E & F)
Economic stress indices are used to monitor business cycle conditions in several regions.Although the deployment of these tools is spreading, there have been relatively few efforts to empirically assess the performance of these gauges, especially at the regional level.This study takes advantage of one such index that is published monthly and has more than 15 years of historical data.Results obtained confirm an inverse relationship between household economic duress and retail sales activity, but it is not found to be statistically reliable over the long-run.Deviations from equilibrium are found to last for 142 months.More relevantly, a 1-point increase in the index …
Analyzing Competitive Balance In Professional Sport, Kevin Alwell
Analyzing Competitive Balance In Professional Sport, Kevin Alwell
Honors Scholar Theses
In this paper we review several measures to statistically analyze competitive balance and report which leagues have a wider variance of performance amongst its competitors. Each league seeks to maintain high levels of parity, making matches and overall season more unpredictable and appealing to the general audience. Here we quantify competitive advantage across major sports leagues in numbers using several statistical methods in order for leagues to optimize their revenue.
Unconditional Quantile Regression Analysis Of Uk Inbound Tourist Expenditures, Abhijit Sharma, Richard Woodward, Stefano Grillini
Unconditional Quantile Regression Analysis Of Uk Inbound Tourist Expenditures, Abhijit Sharma, Richard Woodward, Stefano Grillini
Articles
Using International Passenger Survey (2017) data, this paper employs unconditional quantile regression (UQR) to analyse the determinants of tourist expenditure amongst inbound tourists to the United Kingdom. UQR allows us to estimate heterogeneous effects at any quantile of the distribution of the dependent variable. It overcomes the econometric limitations of ordinary least squares and quantile regression based estimates typically used to investigate tourism expenditures. However, our results reveal that the effects of our explanatory variables change across the distribution of tourist expenditure. This has important implications for those tasked with devising policies to enhance the UK’s tourist flows and expenditures.