Audit report on the Iowa State Center Business Office of Iowa State University of Science and Technology for the year ended June 30, 2007

Audit report on the Iowa State Center Business Office of Iowa State University of Science and Technology for the year ended June 30, 2007

Iowa State University of Science and Technology (ISU) as of and for the year ended June 30, 2007

Iowa State University of Science and Technology (ISU) as of and for the year ended June 30, 2007

Technology diffusion and the spatial distribution of wages in the US

What explains the spatial distribution of wages across US counties? I find that two of the most important factors are spatial technology diffusion and externalities due to the aggregate scale of production. One empirical finding supporting the importance of spatial technology diffusion is that average wages in a county decrease with the average level of schooling in neighboring counties when employment in the county and average wages in neighboring counties are held constant. All empirical results are obtained using anovel instrument for (endogenous) employment at the county-leveland take into account other factors (e.g. productivity-differencesacross states, climate) that may determine wages.

Report on a review of selected general and application controls over the Iowa State University of Science and Technology payroll system for the period March 27 through May 11, 2007

Report on a review of selected general and application controls over the Iowa State University of Science and Technology payroll system for the period March 27 through May 11, 2007

Schumpeterian technology shocks

We analyze the labor market effects of neutral and investment-specific technologyshocks along the intensive margin (hours worked) and the extensive margin(unemployment). We characterize the dynamic response of unemploymentin terms of the job separation and the job finding rate. Labor market adjustmentsoccur along the extensive margin in response to neutral shocks, along theintensive margin in response to investment specific shocks. The job separationrate accounts for a major portion of the impact response of unemployment. Neutralshocks prompt a contemporaneous increase in unemployment because of asharp rise in the separation rate. This is prolonged by a persistent fall in thejob finding rate. Investment specific shocks rise employment and hours worked.Neutral shocks explain a substantial portion of the volatility of unemploymentand output; investment specific shocks mainly explain hours worked volatility.This suggests that neutral progress is consistent with Schumpeterian creative destruction,while investment-specific progress operates as in a neoclassical growthmodel.

Distributional equivalence and subcompositional coherence in the analysis of contingency tables, ratio-scale measurements and compositional data

We consider two fundamental properties in the analysis of two-way tables of positive data: the principle of distributional equivalence, one of the cornerstones of correspondence analysis of contingency tables, and the principle of subcompositional coherence, which forms the basis of compositional data analysis. For an analysis to be subcompositionally coherent, it suffices to analyse the ratios of the data values. The usual approach to dimension reduction in compositional data analysis is to perform principal component analysis on the logarithms of ratios, but this method does not obey the principle of distributional equivalence. We show that by introducing weights for the rows and columns, the method achieves this desirable property. This weighted log-ratio analysis is theoretically equivalent to spectral mapping , a multivariate method developed almost 30 years ago for displaying ratio-scale data from biological activity spectra. The close relationship between spectral mapping and correspondence analysis is also explained, as well as their connection with association modelling. The weighted log-ratio methodology is applied here to frequency data in linguistics and to chemical compositional data in archaeology.

Trade liberalization, exports and technology upgrading: Evidence on the impact of MERCOSUR on Argentinean firms

This paper studies the impact of a regional free trade agreement, MERCOSUR, on technologyupgrading by Argentinean firms. To guide empirical work, I introduce technology choice inMelitz s (2003) model of trade with heterogeneous firms. The joint treatment of the technologyadoption and exporting choices shows that the increase in revenues produced by trade integrationcan induce exporters to upgrade technology. An empirical test of the model reveals that firms inindustries facing higher reductions in Brazil s tariffs increase their investment in technologyfaster. The effect of tariffs on entry in the export market and technology adoption is highest inthe upper-middle range of the firm size distribution, as predicted by the model.

Report of Recommendations to Iowa State University of Science and Technology, Ames, Iowa, for the year ended June 30, 2007

Report on Iowa State University of Science and Technology, Ames, Iowa, for the year ended June 30, 2007

Composition of electricity generation portfolios, pivotal dynamics and market prices

We use a simulation model to study how the diversification of electricity generation portfoliosinfluences wholesale prices. We find that technological diversification generally leads to lower market prices but that the relationship is mediated by the supply to demand ratio. In each demand case there is a threshold where pivotal dynamics change. Pivotal dynamics pre- and post-threshold are the cause of non-linearities in the influence of diversification on market prices. The findings are robust to our choice of behavioural parameters and match close-form solutions where those are available.

Measuring subcompositional incoherence

Subcompositional coherence is a fundamental property of Aitchison s approach to compositional data analysis, and is the principal justification for using ratios of components. We maintain, however, that lack of subcompositional coherence, that is incoherence, can be measured in an attempt to evaluate whether any given technique is close enough, for all practical purposes, to being subcompositionally coherent. This opens up the field to alternative methods, which might be better suited to cope with problems such as data zeros and outliers, while being only slightly incoherent. The measure that we propose is based on the distance measure between components. We show that the two-part subcompositions, which appear to be the most sensitive to subcompositional incoherence, can be used to establish a distance matrix which can be directly compared with the pairwise distances in the full composition. The closeness of these two matrices can be quantified using a stress measure that is common in multidimensional scaling, providing a measure of subcompositional incoherence. The approach is illustrated using power-transformed correspondence analysis, which has already been shown to converge to log-ratio analysis as the power transform tends to zero.

Report on a review of selected general and application controls over the Iowa State University of Science and Technology tuition and fees system for the period of April 11 through May 2, 2008

Report on a review of selected general and application controls over the Iowa State University of Science and Technology tuition and fees system for the period of April 11 through May 2, 2008

On the robust effects of technology shocks on hours worked and output

We analyze the effects of neutral and investment-specific technology shockson hours and output. Long cycles in hours are captured in a variety of ways.Hours robustly fall in response to neutral shocks and robustly increase inresponse to investment specific shocks. The percentage of the variance ofhours (output) explained by neutral shocks is small (large); the opposite istrue for investment specific shocks. News shocks are uncorrelated with theestimated technology shocks.

Report of the Academic Building Revenue Bond Funds of Iowa State University of Science and Technology as of and for the year ended June 30, 2008

Report of the Academic Building Revenue Bond Funds of Iowa State University of Science and Technology as of and for the year ended June 30, 2008

Report of the Dormitory and Dining Services Revenue Bond Funds of Iowa State University of Science and Technology as of and for the year ended June 30, 2008

Report of the Dormitory and Dining Services Revenue Bond Funds of Iowa State University of Science and Technology as of and for the year ended June 30, 2008

Report of the Recreational Facility Revenue Bond Funds of Iowa State University of Science and Technology as of and for the year ended June 30, 2008

Report of the Recreational Facility Revenue Bond Funds of Iowa State University of Science and Technology as of and for the year ended June 30, 2008