Tax Credits Contingent Liabilities Brief July 31, 2008

The Tax Credits Contingent Liabilities Report was created by the Tax Research and Program Analysis Section of the Iowa Department of Revenue (IDR) for the benefit of the Revenue Estimating Conference (REC). This report is part of the Tax Credits Tracking and Analysis Program. The goal of the program is to provide a repository for information concerning the awarding, usage, and effectiveness of tax credits. This report forecasts tax credit claims assuming that all available awarded credits are issued and then, along with forecasted credits, are subsequently claimed.

Tax Credits Contingent Liabilities Brief, October 3, 2008

The Tax Credits Contingent Liabilities Report was created by the Tax Research and Program Analysis Section of the Iowa Department of Revenue (IDR) for the benefit of the Revenue Estimating Conference (REC). This report is part of the Tax Credits Tracking and Analysis Program. The goal of the program is to provide a repository for information concerning the awarding, usage, and effectiveness of tax credits. This report forecasts tax credit claims assuming that all available awarded credits are issued and then, along with forecasted credits, are subsequently claimed.

Iowa Leading Indicators Index September 2009

The Iowa Leading Indicators Index (ILII) is a tool for monitoring the future direction of the Iowa economy and State revenues. Its eight components include an agricultural futures price index, an Iowa stock market index, average weekly manufacturing hours in Iowa, initial unemployment claims in Iowa, an Iowa new orders index, diesel fuel consumption in Iowa, residential building permits in Iowa, and the national yield spread.

Tax Credits Contingent Liabilities Brief December 8, 2008

The Tax Credits Contingent Liabilities Report was created by the Tax Research and Program Analysis Section of the Iowa Department of Revenue (IDR) for the benefit of the Revenue Estimating Conference (REC). This report is part of the Tax Credits Tracking and Analysis Program. The goal of the program is to provide a repository for information concerning the awarding, usage, and effectiveness of tax credits. This report forecasts tax credit claims assuming that all available awarded credits are issued and then, along with forecasted credits, are subsequently claimed.

Tax Credits Contingent Liabilities Brief March 17, 2009

The Tax Credits Contingent Liabilities Report was created by the Tax Research and Program Analysis Section of the Iowa Department of Revenue (IDR) for the benefit of the Revenue Estimating Conference (REC). This report is part of the Tax Credits Tracking and Analysis Program. The goal of the program is to provide a repository for information concerning the awarding, usage, and effectiveness of tax credits. This report forecasts tax credit claims assuming that all available awarded credits are issued and then, along with forecasted credits, are subsequently claimed.

Tax Credits Contingent Liabilities Brief August 14, 2009

The Tax Credits Contingent Liabilities Report was created by the Tax Research and Program Analysis Section of the Iowa Department of Revenue (IDR) for the benefit of the Revenue Estimating Conference (REC). This report is part of the Tax Credits Tracking and Analysis Program. The goal of the program is to provide a repository for information concerning the awarding, usage, and effectiveness of tax credits. This report forecasts tax credit claims assuming that all available awarded credits are issued and then, along with forecasted credits, are subsequently claimed.

Tax Credits Contingent Liabilities Brief October 7, 2009

The Tax Credits Contingent Liabilities Report was created by the Tax Research and Program Analysis Section of the Iowa Department of Revenue (IDR) for the benefit of the Revenue Estimating Conference (REC). This report is part of the Tax Credits Tracking and Analysis Program. The goal of the program is to provide a repository for information concerning the awarding, usage, and effectiveness of tax credits. This report forecasts tax credit claims assuming that all available awarded credits are issued and then, along with forecasted credits, are subsequently claimed.

Iowa Leading Indicators Index October 2009

The Iowa Leading Indicators Index (ILII) is a tool for monitoring the future direction of the Iowa economy and State revenues. Its eight components include an agricultural futures price index, an Iowa stock market index, average weekly manufacturing hours in Iowa, initial unemployment claims in Iowa, an Iowa new orders index, diesel fuel consumption in Iowa, residential building permits in Iowa, and the national yield spread.

Iowa Efficiency Review Report to Governor Chet Culver and Lieutenant Governor Patty Judge, December 18,2009

Public Works is pleased to present the following Iowa Efficiency Review Report to Governor Chet Culver and Lieutenant Governor Patty Judge. This report is the product of a collaboration between our consulting team and very dedicated Iowa state employees who worked with us to share ideas and cost‐saving proposals under very difficult circumstances caused by the national financial crisis that is affecting state budgets throughout the country. For example, during the course of this review, Iowa departments were also asked to develop across‐the‐board cuts to achieve immediate reductions in state spending. It is a credit to Iowa state government that departmental staff continued to work on this Efficiency Review Report despite these challenges of also having to develop across‐the‐board budget cuts to achieve a balanced budget. We hope that these ideas will set the stage for further future budget improvements from achieving efficiencies, eliminating outdated practices, increasing the use of information technology solutions and finding new sources of non‐tax funding. The Efficiency Review Team faced a second challenge. Statewide Efficiency Reviews usually take from nine to 12 months to complete. In Iowa, we worked with dedicated department staff to complete our work in less than 4 months. The Governor challenged all of us to work intensely and to give him our best thinking on efficiency proposals so that he could act as quickly as possible to position state government for success over the next several years.

Green Collar Jobs Initiative Committee, January 8, 2010

A team representing Iowa Workforce Development, the Office of Energy Independence, the Department of Natural Resources, the Department of Public Safety, the Iowa Utilities Board, the Department of Economic Development and Iowa Community Colleges reviewed many reports on green jobs published by states, associations and private research companies with the purpose of determining whether the number of “green collar” jobs in Iowa’s economy can be quantified. The team found that there was no standard on definition, identifying jobs or occupations, or level of inclusion for counting green collar jobs. All reports were tailored to their own audiences, without regard to the ability to measure their results against findings made by other states or organizations. Green collar jobs can be found in construction, manufacturing, installation, maintenance, agriculture and many other sectors of the economy. While some of the green collar jobs are in new occupations and industries, most are existing jobs that demand new green collar skills.

Uncertainty Quantification with Support Vector Regression Prediction Models

Uncertainty quantification of petroleum reservoir models is one of the present challenges, which is usually approached with a wide range of geostatistical tools linked with statistical optimisation or/and inference algorithms. The paper considers a data driven approach in modelling uncertainty in spatial predictions. Proposed semi-supervised Support Vector Regression (SVR) model has demonstrated its capability to represent realistic features and describe stochastic variability and non-uniqueness of spatial properties. It is able to capture and preserve key spatial dependencies such as connectivity, which is often difficult to achieve with two-point geostatistical models. Semi-supervised SVR is designed to integrate various kinds of conditioning data and learn dependences from them. A stochastic semi-supervised SVR model is integrated into a Bayesian framework to quantify uncertainty with multiple models fitted to dynamic observations. The developed approach is illustrated with a reservoir case study. The resulting probabilistic production forecasts are described by uncertainty envelopes.

Iowa Leading Indicators Index, November 2009

The Iowa Leading Indicators Index (ILII) is a tool for monitoring the future direction of the Iowa economy and State revenues. Its eight components include an agricultural futures price index, an Iowa stock market index, average weekly manufacturing hours in Iowa, initial unemployment claims in Iowa, an Iowa new orders index, diesel fuel consumption in Iowa, residential building permits in Iowa, and the national yield spread.

Iowa Leading Indicators Index, December 2009

The Iowa Leading Indicators Index (ILII) is a tool for monitoring the future direction of the Iowa economy and State revenues. Its eight components include an agricultural futures price index, an Iowa stock market index, average weekly manufacturing hours in Iowa, initial unemployment claims in Iowa, an Iowa new orders index, diesel fuel consumption in Iowa, residential building permits in Iowa, and the national yield spread.

Tax Credits Contingent Liabilities Brief, December 11, 2009

The Tax Credits Contingent Liabilities Report was created by the Tax Research and Program Analysis Section of the Iowa Department of Revenue (IDR) for the benefit of the Revenue Estimating Conference (REC). This report is part of the Tax Credits Tracking and Analysis Program. The goal of the program is to provide a repository for information concerning the awarding, usage, and effectiveness of tax credits. This report forecasts tax credit claims assuming that all available awarded credits are issued and then, along with forecasted credits, are subsequently claimed.

Iowa Innovators, January 2007

The “Iowa Innovators” series is a joint project of the Iowa Newspaper Association and the Iowa Department of Economic Development (IDED). The series is an outgrowth of an idea from member INA publishers. “Iowa Innovators” articles describe initiatives that Iowa communities have used to improve their ability to attract business and industry and demonstrate community innovation. The articles also describe Iowa companies on the leading edge of technology, business expansion, workforce development and recycling.