Growth, convergence and public investment : a bayesian model averaging approach

The aim of this paper is twofold. First, we study the determinants of economic growth among a wide set of potential variables for the Spanish provinces (NUTS3). Among others, we include various types of private, public and human capital in the group of growth factors. Also,we analyse whether Spanish provinces have converged in economic terms in recent decades. Thesecond objective is to obtain cross-section and panel data parameter estimates that are robustto model speci¯cation. For this purpose, we use a Bayesian Model Averaging (BMA) approach.Bayesian methodology constructs parameter estimates as a weighted average of linear regression estimates for every possible combination of included variables. The weight of each regression estimate is given by the posterior probability of each model.

Testing the bivariate distribution of daily equity returns using copulas: an application to the Spanish stock market

In this paper we deal with the identification of dependencies between time series of equity returns. Marginal distribution functions are assumed to be known, and a bivariate chi-square test of fit is applied in a fully parametric copula approach. Several families of copulas are fitted and compared with Spanish stock market data. The results show that the t-copula generally outperforms other dependence structures, and highlight the difficulty in adjusting a significant number of bivariate data series

Willigness to pay for long-term care coverage: the role of private information and self-insurance

Both public and private insurance for long-term care is undeveloped in some European countries such as in Spain and empirical evidence is still limited. This paper aims at exmining the determinants of the demand for Long Term Care (LTC) coverage in Spain using contingent valuation techniques. Our findings indicate that only one-fifth of the population is willing to pay to assure coverage decisions are significantly affected by private information asymmetry and housing tenure in giving rise to self-insurance reduces the probability of insurance being hypothetically purchased.

Modelling non-industrial private forest landowners' strategic decision making by using logistic regression and neural networks: case of predicting the choice of forest taxation basis

Summary

Infrastructure Plan for Iowa’s Future Economy A Strategic Direction, May 2010

Iowa’s infrastructure is at a crossroads. A stalwart collection of Iowans dared to consider Iowa’s future economy, the way ahead for future generations, and what infrastructure will be required – and what will not be required – for Iowa to excel. The findings are full of opportunity and challenge. The Infrastructure Plan for Iowa’s Future Economy: A Strategic Direction tells the story and points the way to a strong economy and quality of life for our children and our children’s children. This plan is different from most in that the motivation for its development came not from a requirement to comply or achieve a particular milestone, but, rather, from a recognition that infrastructure, in order to ensure a globally-competitive future economy, must transform from that of past generations. It is not news that all infrastructure – from our rich soil to our bridges – is a challenge to maintain. Prior to the natural disasters of 2008 and the national economic crisis, Iowa was tested in its capacity to sustain not only the infrastructure, but to anticipate future needs. It is imperative that wise investments and planning guide Iowa’s infrastructure development. This plan reflects Iowa’s collective assessment of its infrastructure– buildings, energy, natural resources, telecommunications, and transportation – as, literally, interdependent building blocks of our future. Over the months of planning, more than 200 Iowans participated as part of committees, a task force, or in community meetings. The plan is for all of Iowa, reflected in private, nonprofit, and public interests and involvement throughout the process. Iowa’s success depends on all of Iowa, in all sectors and interests, to engage in its implementation. The Infrastructure Plan for Iowa’s Future Economy: A Strategic Direction sets a clear and bold direction for all stakeholders, making it clear all have a responsibility and an opportunity to contribute to Iowa’s success.

Statewide Economic Impacts of Disaster-Related Payments to Support Household and Private and Public Sector Recovery in Iowa, January 2010

There have been a multitude of programs providing assistance to the state of Iowa in the past 18 months. Springtime 2008 disasters resulted in tornado damage and widespread flood damage to large fractions of the state. In consequence, there was a very large flow of federal and state resources dedicated to assisting community and statewide recovery efforts. The nation was in recession as well and continued to be in recession through much of 2009. A sizeable amount of assistance found its way to Iowa under the American Recovery and Reinvestment Act of 2009 in the forms of infrastructure stimulus spending, income supports and other safety net spending for households, and stabilization assistance for essential public services like education. On top of that, the state of Iowa authorized the I Jobs program as an additional infrastructure development program, and as a jobs stimulus program. The total amount of spending for all types of programs, disaster or economic recovery related, is perhaps as high as $7.5 billion over the next few years.

Iowa Private Sector Prison Employment Works, Data Download, Iowa Department of Corrections, November 2006

This issue of the ICON Data Download describes highlights from the findings for the Iowa sample, which tracked 1,091 inmates who worked in private sector prison industries jobs and were released from prison between 1999 and 2001, and compared their results with similar offenders who had worked in either traditional prison industries, or other institutional jobs. All offenders were tracked through mid-2003. This results in a follow-up period of slightly less than two years up to four and one-half years.

2013 - 2017 Iowa Transportation Improvement Program,

This document describes planned investments in Iowa’s multimodal transportation system including aviation, transit, railroads, trails, and highways. A large part of funding available for highway programming comes from the federal government. Accurately estimating future federal funding levels is dependent on having a multiyear federal transportation authorization bill in place. The most recent authorization, Safe, Accountable, Flexible, Efficient Transportation Equity Act: A Legacy for Users (SAFETEA-LU), expired September 30, 2009, and to date it has been extended nine times because a new authorization has not yet been enacted. The current extension will expire June 30, 2012.

2013-2018 Highway Program Summary, 2012

The Iowa Transportation Commission (Commission) and the Iowa Department of Transportation (DOT) develop Iowa’s Five Year Highway Program (Program) to inform you of planned investments in our state’s primary and interstate highway system. This brochure summarizes the FY 2013-2017 Program. $2.6 billion is forecast for highway right of way and construction. The Program is updated and approved in June of each year. A large part of funding available for highway programming comes from the federal government. Accurately estimating future federal funding levels is dependent on having a multiyear federal transportation authorization bill in place. The most recent authorization, Safe, Accountable, Flexible, Efficient Transportation Equity Act: A Legacy for Users (SAFETEA-LU), expired September 30, 2009, and to date it has been extended nine times because a new authorization has not yet been enacted. The current extension will expire June 30, 2012.

Testing the bivariate distribution of daily equity returns using copulas: an application to the Spanish stock market

In this paper we deal with the identification of dependencies between time series of equity returns. Marginal distribution functions are assumed to be known, and a bivariate chi-square test of fit is applied in a fully parametric copula approach. Several families of copulas are fitted and compared with Spanish stock market data. The results show that the t-copula generally outperforms other dependence structures, and highlight the difficulty in adjusting a significant number of bivariate data series

A comment on the cost of capital for investments with non-homogeneous components

In this paper, the expression for the cost of capital is derived when net and replacement investments exhibit differences in their effective prices due to a different fiscal treatment. It is shown that, contrary to previous results in the literature, the cost of capital should be constructed under an opportunity cost criterion rather than a historical one. This result has some important economic consequences, since the optimizing firm will take into account not only the effective price for the new investments but also consider the opportunity cost of replacing them.