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Considers the problems faced by the paints used in multi‐occupancy dwellings in the event of fire. Examines the importance of adhesion properties of paint films. Gives details of a range of flame retardant coatings manufactured by Bollom Fire Protection.

The Neenan Company is a construction firm based in Fort Collins, Colorado, known for their efforts in pioneering the advancement of the design/build approach to construction. With a history of industry leadership, innovative contracting methods, and ethical business practices, the company now faces management, customer relations, and financial challenges. Serious structural problems were discovered in a number of public schools and other buildings built by the company. Thrown into a whirlwind of shock, Randy Myers, President of the company, must consider how to respond to the crisis, and how to prevent these issues in the future. Written from his perspective, this case provides a platform for considering the challenges that can result from industry innovation, ethical decision-making, and crisis management.

For the development of this case, the authors interviewed the top management at the Neenan Company: Founder David Neenan, President Randy Myers, and Donna Smith, Vice President of Business Development. The authors also interviewed current employees, previous employees of Neenan, representatives of school buildings built by Neenan, stakeholders, other experts in the construction field and existing customers of the company. The company made internal documents available to the authors, including financial statements and quality control and assessment tools, which were provided by Ryan Dellos, Chief Financial Officer. The authors surveyed financial documents and business documents to analyze pertinent information and data relevant to the case. All the interviews were recorded, coded, and analyzed to include multiple perspectives. Extensive online research was conducted on the construction industry and The Neenan Company which included several news articles and interviews on David and Randy. Additionally, the authors carefully studied the news reports by The Denver Post and other related press materials. Experts from the construction field and financial field provided assistance with data analysis and interpretation. The authors used a variety of academic resources to draw connections between the issues faced by Neenan and concepts discussed in business courses.

This case has applications in entrepreneurship, small business management, business ethics, leadership, organizational structure/design, and new venture management courses at both undergraduate and graduate levels. It also contains critical areas of decision-making relevant to an advanced strategic management course. The case can be introduced at any stage of the term, and is specifically relevant to discussions focussing on innovation and growth, corporate social responsibility, ethical decision-making, stakeholder theory, entrepreneurial crisis management, and long-term venture success.

The different types of estimators of rational expectations models are surveyed. A key feature is that the model′s solution has to be taken into account when it is estimated. The two ways of doing this, the substitution and errors‐in‐variables methods, give rise to different estimators. In the former case, a generalised least‐squares or maximum‐likelihood type estimator generally gives consistent and efficient estimates. In the latter case, a generalised instrumental variable (GIV) type estimator is needed. Because the substitution method involves more complicated restrictions and because it resolves the solution indeterminacy in a more arbitary fashion, when there are forward‐looking expectations, the errors‐in‐variables solution with the GIV estimator is the recommended combination.

This article describes an experiment in a Kydland/Prescott type of environment with cheap talk. Individual evolutionary learning (IEL) acts as a policy maker that makes inflation announcements and decides on actual inflation rates. IEL evolves a set of strategies based on the evaluation of their counterfactual payoffs measured in terms of disutility of inflation and unemployment. Two types of private agents make inflation forecasts. Type 1 agents are automated and they set their forecast equal to the announced inflation rate. Type 2 agents are human subjects who submit their inflation forecast and are rewarded based on their forecast error. The fraction of each type evolves over time based on their performance. Experimental economies result in outcomes that are better than the Nash equilibrium. This article is the first to use an automated policy maker that changes and adapts its rules over time in response to the environment in which human subjects make choices.

Among the many factors fueling the inflationary tendencies in an economy such as monetary shocks, structural shocks, demand shocks, external shocks and demographic changes, the issue of inflation (INF) has also been found to be related to fiscal policy decisions of the government. The purpose of this study is to investigate the inflationary tendencies in India particularly from the fiscal point of view. The study also examines the influence of other potential determinants such as output growth rate, interest rate, trade-openness (TO) and oil price inflation (OPI).

To examine the dynamic nature of association between fiscal deficit and inflation, the study applies the Toda-Yamamoto (1995) test and Breitung and Candelon (2006) test to investigate the nature of causality in time and frequency domain frameworks. In addition, to scrutinize the possibility of a long-run association, that too from an asymmetric point of view, the study applies a Non-linear Autoregressive Distributed lag model (NARDL) given by Shin et al. (2014). Finally, non-linear cumulative dynamic multipliers are used to trace the traverse between disequilibrium position of short-run and subsequent long-run equilibrium of the system.

The authors found a unidirectional causality from fiscal deficit to inflation in case of time domain analysis and no feedback causality is reported. However, in case of frequency domain design, causality from fiscal deficit to inflation is found at low frequencies only, i.e. no short-run causality is established and hence dynamic nature of the relationship between the two variables is vindicated. Using NARDL model, the results document the existence of an asymmetric long-run direct association between fiscal deficit and inflation. However, an increase in deficit is found to be more inflationary and a decrease affects the inflation with a lower magnitude. The asymmetric impact of fiscal deficit on inflation can be explained through the existence of liquidity constraints, consumption-investment downward inflexibility and the downward price stickiness. Contractionary monetary policy action is found to be more effective than an expansionary one, signifying the asymmetric influence of monetary policy actions on the inflation of India. Similarly, in a supply-constrained economy with downward price rigidity, the authors found an asymmetric impact of output growth and output decline on inflation. As regard to the trade-openness, although an asymmetry is reported, the signs refute the validation of Romer (1993) hypothesis. Finally, the impact of oil price inflation on the inflationary pressures is according to theory but the coefficients are devoid of statistical significance.

These results indicate some important policy recommendations. Fiscal consolidation strategy should be executed in an appreciable manner to achieve the sound fiscal health and lower INF. The disciplined fiscal strategy would also be imperative for an effective monetary policy. Monetary authorities should possess noticeable credibility to manage the macroeconomic system and policy stances should be implemented according to requirements of the economy. Growth in output should be encouraged to have two-fold benefits to the economy – reducing INF on the one hand and fiscal deficits on the other.

The study contributes to the existing literature in the following ways. First, taking note of dynamic nature of the relationship between these two variables, the study examined the deficit INF nexus in a dynamic and asymmetric framework. The novelty of the study is ensured by the very nature of it is the first study in case of India to identify the fiscal INF in an asymmetric configuration. The authors applied a NARDL model, given by Shin et al. (2014) to examine the existence of any cointegrating relationship in an asymmetric paradigm. Second, the nature of causality between fiscal deficit and INF has been examined in a time domain and FD framework to portray precisely the casual interactions between these two variables in the short-run and long run. The study will, therefore, enrich the existing literature along the asymmetric lines.