INVENTORY ACCOUNTING AND PROFIT EVALUATION

In an inventory model with exogenous sales, FIFO and LIFO criteria are formalized and compared with national account estimates for intermediate and finished good products. The model is simulated by utilizing manufacturing input and output prices for Italy (1970–88). LIFO and national account estimates of inventory are usually close and also imply reliable measures of output level and changes which can be shown by solving the quantity model. Conversely, FIFO exhibits larger profits and leads in real terms to unsatisfactory estimates of output changes.     

On linking microsimulation and computable general equilibrium models using exact aggregation of heterogeneous discrete-choice making agents

Our paper contributes by bridging the gap between the (partial equilibrium) microsimulation and the computable general equilibrium (CGE) approaches, by making use of exact aggregation results from the discrete choice literature: heterogeneous individuals choosing within a set of discrete alternatives may be aggregated into a representative agent with (possibly multiple-level) constant elasticity-of-substitution/transformation preferences/technologies. These results therefore provide a natural link between the two policy evaluation approaches. We illustrate the usefulness of these results by evaluating potential effects of population ageing on the dynamics of income distribution and inequalities, using a simple overlapping generations model where individuals make leisure/work decisions, and choose a profession among a discrete set of alternatives.     

Forecasting inflation and tracking monetary policy in the euro area: does national information help?

The ECB target is set in terms of the year on year growth rate of the euro area Harmonized Index of Consumer Prices. Nonetheless, a good deal of attention is given to national data by market analysts when they try to anticipate monetary policy moves. In this paper we use the Generalized Dynamic Factor Model to develop a set of core inflation indicators that, combining national data with area wide information, allow us to answer two related questions. The first is whether country specific data actually bear any relevance for the future path of area wide price growth, over and above that already contained in area wide data. The second is whether to track ECB monetary policy decisions it is useful to take into account national information and not only area wide statistics. Within our empirical framework we find that once area wide information is properly taken into account the contribution of national idiosyncratic developments is negligible.     

The anatomy of the aggregate labor supply elasticity

We show that the aggregate Frisch elasticity of labor supply can greatly exceed the corresponding individual-level parameter, and we illustrate the “anatomy” of the former in terms of intensive and extensive margins. The methodology consists of using micro data from the PSID to construct a panel of individuals and an aggregate time series obtained by aggregating these individuals each year. These two data sets represent exactly the same sample at different levels of aggregation, and we use them to identify the parameters of two distinct MaCurdy-type micro and macro equations. We find a micro elasticity of about 0.1 and a much larger macro elasticity that ranges from 1.1 to 1.7. There is no conflict between the two estimates: the micro one reflects only the intensive margin while the macro one reflects, in addition, the much more volatile extensive margin. Furthermore, aggregation of only continuously employed individuals allows us to provide a reliable estimate of the intensive margin elasticity in the range 0.3–0.4. This implies an extensive margin elasticity in the range 0.8–1.4. These findings suggest that micro evidence is not a benchmark for assessing how large the Frisch elasticity of labor supply should be in a model of the aggregate economy.     

The Italian financial cycle: 1861–2011

In this paper, we investigate the main features of the Italian financial cycle, extracted by means of a structural trend-cycle decomposition of the credit-to-GDP ratio, using annual observations from 1861 to 2011. In order to draw conclusions based on solid historical data, we provide a thorough reconstruction of the key balance sheet time series of Italian banks, considering all the main assets and liabilities over the last 150 years. We come to three main conclusions. First, while there was close correlation between loans and deposits (relative to GDP) until the mid-1970s, over the last 30 years, this link became more tenuous and the volume of loans has increased in relation to deposits. The banks covered this “funding gap” mainly by issuing new debt securities. Second, the Italian financial cycle has a much longer duration than traditional business cycles. Third, taking into account the deviation of the credit-to-GDP ratio from its trend, an acceleration of credit preceded or accompanied a banking crisis in 8 out of the 12 episodes listed by Reinhart and Rogoff (This time is different: eight centuries of financial folly. Princeton University Press, Princeton, 2009). A Logit regression confirms a positive association between the probability of a banking crisis and a previous acceleration of the credit-to-GDP gap. However, there were also periods—such as the early 1970s—in which the growth of the credit-to-GDP ratio was not followed by a banking crisis.     

Functions and failures: how to manage technological promises for societal challenges

Technological promises are becoming part of the way in which scientific and technological communities try to attract the attention of stakeholders, aiming at legitimation, reputation, and funding. Not all promises, however, become reality. With the increase in the use of promises comes the risk of disillusion and cynicism, which may affect negatively policy-makers and the public opinion. The paper suggests that the introduction in the field of S&T and innovation policy of a tool commonly used in engineering fields aimed at identifying and measuring all possible failures of a proposed technology. Instead of focusing on the magnitude of promises, it suggests that a useful perspective can be gained by placing systematic attention to the negative side, i.e. all reasons why a given technology may fail to deliver the promises. The paper develops the methodology, presents a case study, and illustrates the benefits of using it in policy-making.