IV Estimates (iv + estimate)

Distribution by Scientific Domains


Selected Abstracts


Do Firms Share their Success with Workers?

ECONOMICA, Issue 280 2003
The Response of Wages to Product Market Conditions
We provide new evidence that industry financial conditions help determine wages in the US manufacturing sector. Ordinary least squares estimates of the effect of rents per worker on wages are significantly positive, but quite small. We show that this may stem from econometric difficulties that plague the OLS estimates. Using the US input,output tables to isolate demand shocks, we overcome these issues and identify the effects of the industry financial situation on wages. Our IV estimates reveal substantial rent sharing,much more than is consistent with a purely competitive labour market. [source]


Use of instrumental variables in the presence of heterogeneity and self-selection: an application to treatments of breast cancer patients

HEALTH ECONOMICS, Issue 11 2007
Anirban Basu
Abstract Instrumental variable (IV) methods are widely used in the health economics literature to adjust for hidden selection biases in observational studies when estimating treatment effects. Less attention has been paid in the applied literature to the proper use of IVs if treatment effects are heterogeneous across subjects and individuals select treatments based on expected idiosyncratic gains or losses from treatments. In this paper we compare conventional IV analysis with alternative approaches that use IVs to estimate treatment effects in models with response heterogeneity and self-selection. Instead of interpreting IV estimates as the effect of treatment at an unknown margin of patients, we identify the marginal patients and we apply the method of local IVs to estimate the average treatment effect and the effect on the treated on 5-year direct costs of breast-conserving surgery and radiation therapy compared with mastectomy in breast cancer patients. We use a sample from the Outcomes and Preferences in Older Women, Nationwide Survey which is designed to be representative of all female Medicare beneficiaries (aged 67 or older) with newly diagnosed breast cancer between 1992 and 1994. Our results reveal some of the advantages and limitations of conventional and alternative IV methods in estimating mean treatment effect parameters. Copyright 2007 John Wiley & Sons, Ltd. [source]


Effect of Evidence-Based Acute Pain Management Practices on Inpatient Costs

HEALTH SERVICES RESEARCH, Issue 1 2009
John M. Brooks
Objectives. To estimate hospital cost changes associated with a behavioral intervention designed to increase the use of evidence-based acute pain management practices in an inpatient setting and to estimate the direct effect that changes in evidence-based acute pain management practices have on inpatient cost. Data Sources/Study Setting. Data from a randomized "translating research into practice" (TRIP) behavioral intervention designed to increase the use of evidence-based acute pain management practices for patients hospitalized with hip fractures. Study Design. Experimental design and observational "as-treated" and instrumental variable (IV) methods. Data Collection/Extraction Methods. Abstraction from medical records and Uniform Billing 1992 (UB92) discharge abstracts. Principal Findings. The TRIP intervention cost on average $17,714 to implement within a hospital but led to cost savings per inpatient stay of more than $1,500. The intervention increased the cost of nursing services, special operating rooms, and therapy services per inpatient stay, but these costs were more than offset by cost reductions within other cost categories. "As-treated" estimates of the effect of changes in evidence-based acute pain management practices on inpatient cost appear significantly underestimated, whereas IV estimates are statistically significant and are distinct from, but consistent with, estimates associated with the intervention. Conclusions. A hospital treating more that 12 patients with acute hip fractures can expect to lower overall cost by implementing the TRIP intervention. We also demonstrated the advantages of using IV methods over "as-treated" methods to assess the direct effect of practice changes on cost. [source]


Dragon Children: Identifying the Causal Effect of the First Child on Female Labour Supply with the Chinese Lunar Calendar,

OXFORD BULLETIN OF ECONOMICS & STATISTICS, Issue 3 2008
James P. Vere
Abstract Instrumental variables (IV) estimates of the effect of fertility on female labour supply have only been able to identify the causal effect of second and higher parity children. This study uses exogenous variation in fertility caused by the Chinese lunar calendar to identify the effect of the first child. Additionally, weighting formulas are presented to interpret IV estimates as weighted average treatment effects in the case of multiple endogenous variables, which are useful when children vary in intensity by both number and age. The effect of the first child is found to be much greater than that of other children. [source]