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A counter‐example from chaos theory is used to challenge the augmented Dickey‐Fuller (ADF) test and common prewhitening techniques. The ADF test is applied to data constructed from a fully deterministic nonlinear (chaotic) process. The null hypothesis, that a unit root is present, cannot be rejected; "stationarity" is achieved by prewhitening. The largest Lyapunov exponent and the correlation dimension are estimated for the original and conditioned series in efforts to detect the nonlinearity and ascertain information regarding its specification. This is repeated in the presence of additive white noise. In no case is the procedure successful, nor is misspecification avoided. Along the way, the tests for nonlinearity provide evidence in support of the results of Nelson and Plosser (1982), that the removal of deterministic trends from time series that appear to be unit root processes can lead to spurious results.

An experiment was conducted to determine right-left preferences in apartment floor plans. Subjects presented mirror image pairs of floor plans demonstrated a strong tendency to select those floor plans with the living room in the far right, rather than the far left, corner. A theoretical interpretation and suggestions for future research are discussed.

The social dimensions of knowledge management are often overlooked when attempting to develop innovative approaches to preserve and balance the multiple values of protected natural landscapes. This oversight can hinder the incorporation of knowledge from research and experience, particularly tacit knowledge held by experts and experienced individuals. Building social connection between leaders, researchers and experienced staff within an organisation can address this challenge because it fosters knowledge incorporation and dissemination. However, this can be a slower, more costly and more challenging method of incorporating diverse knowledges. Organisations, particularly government organisations, need to demonstrate the value of building social connection and cohesion. Our work was designed to evaluate social connection and the development of deliberative knowledge networks. We tracked social connection during the formation of a research network within a state government organisation in Australia. The aim of the network was to improve the adoption of research knowledge into management of the alpine region in the state of New South Wales, Australia. Social Network Analysis (SNA) was used to evaluate the effectiveness of forming a research network, given it was a costly, time-consuming and challenging method for the organisation. SNA was used to visualise social connections and measure changes during the planning phase of the research network over 12 months, when scope of the alpine research program was being identified and priorities determined. The analysis revealed individuals in the network grew social connections over time (total ties, average degree and density increased) which is likely to lead to better knowledge sharing. The SNA also identified individuals with knowledge brokerage roles (betweenness scores) and those with the greatest reach and potential influence in the network (key players) who were targeted for future roles in the network. The majority of alpine information was sought from and shared with staff within the network, particularly those in two Groups/ Divisions, which may limit the innovation by the network. The results provided insight to the government research network that is invaluable in its transition from the planning phase to implementation of research priorities and adaptive management. Our approach provides evidence for the value of building social connections and knowledge brokerage to improve environmental outcomes.

We examine voter support in 2008 for Constitutional Amendment 1 in Florida, which modifies a Proposition 13–like property assessment growth cap by allowing homeowners to port their exempted value to a new home. Despite claims by amendment proponents that it would lower property taxes, we do not find that support was higher in precincts with a greater share of eligible property owners. Nor was support explained by the average size of existing exemptions. Instead, we find that precincts with more mobile households supported Amendment 1. In addition, we find evidence that voters understood how changing assessment methodology could affect their tax share. Under a conventional assessment cap, a homeowner who moves resets the assessed value to the market price, lowering the share of assessed value for remaining homeowners. Remarkably, we find that support for Amendment 1 falls as mobility in other parts of the city increases. This finding suggests that Amendment 1 was viewed as a way for high-mobility voters to shift the tax burden back to low-mobility homeowners. In addition, support is higher when a city has a high number of out-of-state immigrants, who have no tax exemption to port into the city, but support is lower when the city has high rates of in-state immigration. These findings suggest that voters are fairly tax savvy and as concerned with shifting the tax burden as they are with curbing absolute expenditures.