Iowa Individual Income Tax Annual Statistical Report 2003

Iowa Individual Income Tax Statistical Report 2003

Iowa Individual Income Tax Annual Statistical Report 2004

Iowa Individual Income Tax Statistical Report 2004

Iowa Individual Income Tax Annual Statistical Report 2005

Iowa Individual Income Tax Statistical Report 2005

A genome-wide approach accounting for body mass index identifies genetic variants influencing fasting glycemic traits and insulin resistance.

Recent genome-wide association studies have described many loci implicated in type 2 diabetes (T2D) pathophysiology and β-cell dysfunction but have contributed little to the understanding of the genetic basis of insulin resistance. We hypothesized that genes implicated in insulin resistance pathways might be uncovered by accounting for differences in body mass index (BMI) and potential interactions between BMI and genetic variants. We applied a joint meta-analysis approach to test associations with fasting insulin and glucose on a genome-wide scale. We present six previously unknown loci associated with fasting insulin at P < 5 × 10(-8) in combined discovery and follow-up analyses of 52 studies comprising up to 96,496 non-diabetic individuals. Risk variants were associated with higher triglyceride and lower high-density lipoprotein (HDL) cholesterol levels, suggesting a role for these loci in insulin resistance pathways. The discovery of these loci will aid further characterization of the role of insulin resistance in T2D pathophysiology.

A-1 Monthly Public Assistance Statistical Report Family Investment Program, September 2007

A-1 - Monthly Public Assistance Statistical Report Family Investment Program - September 2007

A-1 - Monthly Public Assistance Statistical Report Family Investment Program - October 2007

A-1 - Monthly Public Assistance Statistical Report Family Investment Program - October 2007

A-7 Statistical Report On FIP Applications And Cases Discontinued, April 2004

Monthly statistical report on FIP by the Iowa Department of Human Services

A-7 Statistical Report On FIP Applications And Cases Discontinued, December 2004

Monthly statistical report on FIP by the Iowa Department of Human Services

A-1 Monthly Public Assistance Statistical Report Family Investment Program, November 2007

A-1 - Monthly Public Assistance Statistical Report Family Investment Program - Nov 2007

Further evidence on the statistical properties of real GNP

The well-known lack of power of unit root tests has often been attributed to the shortlength of macroeconomic variables and also to DGP s that depart from the I(1)-I(0)alternatives. This paper shows that by using long spans of annual real GNP and GNPper capita (133 years) high power can be achieved, leading to the rejection of both theunit root and the trend-stationary hypothesis. This suggests that possibly neither modelprovides a good characterization of these data. Next, more flexible representations areconsidered, namely, processes containing structural breaks (SB) and fractional ordersof integration (FI). Economic justification for the presence of these features in GNP isprovided. It is shown that the latter models (FI and SB) are in general preferred to theARIMA (I(1) or I(0)) ones. As a novelty in this literature, new techniques are appliedto discriminate between FI and SB models. It turns out that the FI specification ispreferred, implying that GNP and GNP per capita are non-stationary, highly persistentbut mean-reverting series. Finally, it is shown that the results are robust when breaksin the deterministic component are allowed for in the FI model. Some macroeconomicimplications of these findings are also discussed.

A-1 Monthly Public Assistance Statistical Report Family Investment Program, January 2008

A-1 - Monthly Public Assistance Statistical Report Family Investment Program

A-1 Monthly Public Assistance Statistical Report Family Investment Program, Februray 2008

A-1 - Monthly Public Assistance Statistical Report Family Investment Program

A-1 Monthly Public Assistance Statistical Report Family Investment Program, March 2008

A-1 - Monthly Public Assistance Statistical Report Family Investment Program

A house price index defined in the potential outcomes framework

Current methods for constructing house price indices are based on comparisons of sale prices of residential properties sold two or more times and on regression of the sale prices on the attributes of the properties and of their locations. The two methods have well recognised deficiencies, selection bias and model assumptions, respectively. We introduce a new method based on propensity score matching. The average house prices for two periods are compared by selecting pairs of properties, one sold in each period, that are as similar on a set of available attributes (covariates) as is feasible to arrange. The uncertainty associated with such matching is addressed by multiple imputation, framing the problem as involving missing values. The method is applied to aregister of transactions ofresidential properties in New Zealand and compared with the established alternatives.