Testing structural equation models: the impact of error variances in the data generating process

Yet another paper on fit measures? To our knowledge, very few papers discuss how fit measures are affected by error variance in the Data Generating Process (DGP). The present paper deals with this. Based upon an extensive simulation study, this paper shows that the effects of increased error variance differ significantly for various fit measures. In addition to error variance the effects depend on sample size and severity of misspecification. The findings confirm the general notion that good fit as measured by the chi-square, RMSEA and GFI etc. does not necessarily mean that the model is correctly specified and reliable. One finding is that the chi square test may give support to misspecified models in situations with a high level of error variance in the DGP, for small sample sizes. Another finding is that the chi-square test looses power also for large sample sizes when the model is negligible misspecified. Other results include incremental fit indices as NFI and RFI which prove to be more informative indicators under these circumstances. At the end of the paper we formulate some guidelines for use of different fit measures.     

Who trades water allocations? Evidence of the characteristics of early adopters in the Goulburn–Murray Irrigation District,Australia 1998–1999**

This article applies a model of innovation to analyze the characteristics of irrigators within the Goulburn–Murray Irrigation District in Australia and examines the efficiency of the early water market in the late 1990s. Using multinominal and binary logit analyses we identify the factors associated with irrigators who sold or bought water allocations during 1998–1999 and irrigators who at that time had never participated in any kind of water trading. Contrary to expectations we find that early adopters of water trading were older farmers with low farm productivity, but that in line with theory they had higher levels of education, had spent less time farming, had larger irrigated area, farm operating surplus and farm assets, owned farms that were more intensively farmed, and were more progressive in their planning. There was only weak evidence to suggest that water moved from lower value uses to higher value uses, suggesting the water allocation market had limited efficiency in its’ initial years.     

Bundling and Unbundling in Public–Private Partnerships: Implications for Risk Sharing in Urban Transport Projects

Public–private partnership (PPP) projects may be organized in a variety of ways, depending on the level of integration of the so‐called Special Purpose Vehicle. Based on the analyses of four major PPP light rail projects in Spain, this article outlines two fundamentally different models of organizing the Special Purpose Vehicle in PPP projects; moreover, the article examines the central principles of these two different models of organizing the private sector Special Purpose Vehicle and their implications for risk sharing and project management in large‐scale infrastructure PPP projects.     

Fortgesetzter Aufschwung bei weltwirtschaftlichen Risiken

Der konjunkturelle Aufschwung setzt sich weltweit und auch in Deutschland fort. Wie hat sich die Immobilienkrise in den USA ausgewirkt? Welche Zins- und welche Rohstoffpreisentwicklung wird erwartet? Mit welchen Wachstumsraten wird in Deutschland gerechnet und welche Effekte hatte die Mehrwertsteuererh?hung? Wie wird sich die Situation auf dem Arbeitsmarkt entwickeln?     

Social learning and health plan choice

I use data from the University of California to empirically examine the role of social learning in employees' choices of health plans. The basic empirical strategy starts with the observation that if social learning is important, health plan selections should appear to be correlated across employees within the same department. Estimates of discrete choice models in which individuals' perceived payoffs are influenced by coworkers' decisions reveal a significant (but not dominant) social effect. The strength of the effect depends on factors such as the department's size or the employee's demographic distance from her coworkers. The estimated effects are present even when the model allows for unobserved, department-specific heterogeneity in employee preferences, so the results cannot be explained away by unobservable characteristics that are common to employees of the same department.     

On Input Market Frictions and Estimation of Factors' Demand

In this article, we explore the impact of imperfectly competitive input markets on production function estimation. First‐order profit‐maximizing conditions are altered when frictions in input markets cause the elasticity of input supply to the firm to be finite. A consequence of this is that the standard econometric model used for production function estimation will be misspecified. We prove that, in all nontrivial cases, finite elasticities of supply to the firm will lead to inconsistent estimates of production function parameters. Monte Carlo simulations show that the resulting bias can be economically significant.     

Konjunkturschlaglicht: Geldpolitik im Dilemma

Ohne Zusammenfassung