Quantitative methods for the economic valuation of a cultural tourism destination: case study of the Pisa Charterhouse

Quality & Quantity - This paper aims to provide an economic valuation of the Pisa Charterhouse, a renowned monastic complex built in the fourteenth century, located in the Tuscany region of...     

An agent-based model of innovation diffusion: network structure and coexistence under different information regimes

The paper analyzes how the structure of social networks affects innovation diffusion and competition under different information regimes. Diffusion is modeled as the result of idiosyncratic adoption thresholds, local network effects and information diffusion (broadcasting and demonstration effect from previous adopters). A high social cohesion decreases the probability of one innovation cornering the market. Nonetheless, with imperfect information, in small-world networks the higher speed of diffusion produced by the low average distance increases this probability. A low social cohesion also increases the probability of falling into traps of under-adoption. However, such probability is significantly lower with imperfect information, because such regime is characterized by higher levels of market concentrations and this reduces the frictions due to the coexistence of non-compatible product innovations.     

Hospital economic impact from hemostatic matrix usage in cardiac surgery

Objective:

Improved health outcomes can result in economic savings for hospitals and payers. While effectiveness of topical hemostatic agents in cardiac surgery has been demonstrated, evaluations of their economic benefit are limited. This study quantifies the cost consequences to hospitals, based on clinical outcomes, from using a flowable hemostatic matrix vs non-flowable topical hemostatic agents in cardiac surgery.

Research design and methods:

Applying clinical outcomes from a prospective randomized clinical trial, a cost consequence framework was utilized to model the economic impact of comparator groups. From that study, clinical outcomes were obtained and analyzed for a flowable hemostatic matrix (FLOSEAL, Baxter Healthcare Corporation) vs non-flowable topical hemostats (SURGICEL Nu-Knit, Ethicon–Johnson &; Johnson; GELFOAM, Pfizer). Costing analyses focused on the following outcomes: complications, blood transfusions, surgical revisions, and operating room (OR) time. Cardiac surgery costs were analyzed and expressed in 2012 US dollars based on available literature searches and US data. Comparator group variability in cost consequences (i.e., cost savings) was calculated based on annualized impact and scenario testing.

Results:

Results suggest that if a flowable hemostatic matrix (rather than a non-flowable hemostat) was utilized exclusively in 600 mixed cardiac surgeries annually, a hospital could improve patient outcomes by a reduction of 33 major complications, 76 minor complications, 54 surgical revisions, 194 transfusions, and 242?h of OR time. These outcomes correspond to a net annualized cost consequence savings of $5.38 million, with complication avoidance as the largest contributor.

Conclusions:

This cost consequence framework and supportive modeling was used to evaluate the hospital economic impact of outcomes resulting from the usage of various hemostatic agents. These analyses support that cost savings can be achieved from routine use of a flowable hemostatic matrix, rather than a non-flowable topical hemostat, in cardiac surgery.     

Business cycles in Italy: A statistical investigation

This paper conducts a statistical analysis of post-war economic fluctuations in Italy. It is argued that business cycles in this country qualitatively conform to the general character of the phenomenon, a result which confirms existing evidence. A temporal stability analysis of stylized facts shows that some statistically significant changes in the empirical regularities occurred after 1973, but they did not alter the main qualitative features of the business cycle. The evidence thus supports interpretative models of the Italian business cycle which incorporate a stable propagation mechanism.     

An investment-function-based measure of capacity utilisation.: Potential output and utilised capacity in the Bank of Italy's quarterly model

Measures of potential output and the output gap are increasingly being developed and used to concisely quantify and monitor the risk of price accelerations stemming from rises in aggregate demand that are not met by a corresponding increase in supply. They often play a prominent role in the price determination mechanisms of macroeconometric models. In this paper we build a measure of potential private-sector value added for the Italian economy that is consistent with the capital accumulation process in the Banca d'Italia's Quarterly Model — and more generally with the rest of the supply-side block of that model. More specifically, we exploit the fact that the investment function can be thought of as a relationship transforming desired gross additions to capacity output into capital accumulation by means of a conversion factor (the optimal capital/output ratio). Thus, if one removes the component of investment decisions that stems from changes in the relative price of the production factors, (i.e. in the optimal capital/output ratio), then a measure of the desired gross addition to capacity may be constructed. The results draw a cyclical picture of the degree of capacity utilisation for the period 1970–1997 that is roughly in line with those produced by the Wharton and Hodrick–Prescott filter approaches, as well as with the pictures resulting from the ISAE, IMF, European Commission and OECD measures of the output gap. Our investment-function-based measure appears to be a promising indicator of the pressure exerted on prices by demand accelerations. Its empirical properties are, on the whole, acceptable and plausible.     

Monetary Policy in Austria–Hungary, 1876–1913: An Econometric Analysis of the Determinants of the Central Bank’s Discount Rate and the Liquidity Ratio

This paper presents a model to explain the official discount rate of the Central Bank of Austria–Hungary from 1876 to 1913. The discount rate is assumed to depend on the liquidity ratio of the Bank, defined as the ratio of its stock of metals to banknotes issued, and on changes in foreign discount rates. The paper also presents an equation explaining the liquidity ratio. We use “not equally spaced chronologically ordered data” referring to the 50 discount rate changes enacted. The regressions confirm that the liquidity ratio was the main determinant of the discount rate and that Germany (and not Great Britain) played a significant role in determining the Austro–Hungarian discount rate and the liquidity ratios, supporting the view that the classical gold standard was a decentralized multipolar system rather than a system fully dominated by London as suggested by Keynes. The regressions also suggest that, although Austria–Hungary had an inconvertible paper currency (1879–1892) and fluctuating exchange rates (1876–1895) and formally joined the gold standard only in 1902, it “shadowed” the behaviour of gold standard Central Banks with such consistency that the stability of the estimated regressions was relatively unaffected by the frequent institutional changes.

Finance, governments, and trade

We study how financial transactions may respond to exogenous variation in trade opportunities not only directly, but also through policy channels. In more open economies, governments may find it more difficult to fund and enforce public policies that substitute private financial transactions, and more appealing to deregulate financial markets. We propose a simple theoretical model of such policy-mediated relationships between trade and financial development. Empirically, we document in a country panel dataset that, before the 2007–2008 crisis, financial market volumes were robustly and negatively related to the share of government consumption in GDP in regressions that also include indicators of financial regulation and trade openness, and we seek support for a causal interpretation of this result in instrumental variable specifications.     

Climate change shocks and socially responsible investments

Climate change's impact on investor behavior is a scantly investigated area in finance. This paper examines the performance of socially responsible exchange trade funds (ETFs) concerning conventional ETFs, in response to climate change events. We proxy climate change signals with a list of natural disaster events that NASA scientists relate to climate change. We contribute to existing literature, by using a very extensive information set of ETF strategies, not influenced by rating agencies' subjective evaluation policies, and covering almost 90% of the universe of worldwide sustainability thematic-oriented ETFs. This sample allows us to identify the socially responsible investment behavior in response to unpredictable climate change shocks. Our identification strategy accounts for endogeneity concerns and relies on two-stage least square (2SLS) approach finding that responsible investors react to climate change events by purchasing socially responsible investments. The relationship between climate change signals and return of investment in themes linked to the development of sustainability is positive. Interestingly enough, the sign of this relationship is different, when we disentangle the empirical results according to the asset type, confirming that investors shift their investments from equity funds to bond funds when market sentiment worsens. Our results indicate that policymakers should increase the support of firms adopting environmentally conscious business practices, while managers should boost a sustainable business strategy.