Incorporating risk in a positive mathematical programming framework: a dual approach

In this study we develop a new methodological proposal to incorporate risk into a farm‐level positive mathematical programming (PMP) model. We estimate simultaneously the farm nonlinear cost function and a farmer‐specific coefficient of absolute risk aversion as well as the resource shadow prices. The model is applied to a sample of representative arable crop farms from the Emilia‐Romagna region in Italy. The estimation results confirm the calibration ability of the model and reveal the values of the individual risk aversion coefficients. We use the model to simulate different scenarios of crop price volatility, in order to explore the potential risk management role of an agri‐environmental scheme.     

HOW TO MEASURE THE ECONOMIC IMPACT OF VECTOR‐BORNE DISEASES AT COUNTRY LEVEL

Vector‐borne diseases (VBDs) are widespread in less developed countries and reemerging in developed ones. Available economic studies agree that VBDs have significant effects on countries' economic outcomes, and affirm that a systematic evaluation of such effects is crucial for the efficient allocation of resources to health‐related priorities. This paper provides a comparative assessment of available methodologies for measuring the economic impact of VBDs at national level. We review both macroeconometric and micro‐based approaches, and examine advantages and disadvantages of current methods. We conclude by suggesting possible areas for future research.     

Trade shocks,product mix adjustment and productivity growth in Italian manufacturing

In this paper, we use firm-level data on the universe of Italian manufacturing multi-product exporters to test whether demand shocks in export markets lead multi-product exporters to increase their productivity. The main mechanism behind the documented productivity gains is the reallocation of resources across products within firms (American Economic Review, 104, 2014 and 495; National Bureau of Economic Research Working Paper Series No. 22433, 2016). Intuitively, the increased demand stemming from foreign markets will induce firms to adjust their product mix by moving inputs from low to high productive/profitable uses. We find that these productivity gains are significant and can explain between 1/10 and 1/2 of aggregate productivity growth in the manufacturing sector.     

CHOOSING THE VARIABLES TO ESTIMATE SINGULAR DSGE MODELS

We propose two methods to choose the variables to be used in the estimation of the structural parameters of a singular DSGE model. The first selects the vector of observables that optimizes parameter identification; the second selects the vector that minimizes the informational discrepancy between the singular and non‐singular model. An application to a standard model is discussed and the estimation properties of different setups compared. Practical suggestions for applied researchers are provided. Copyright © 2014 John Wiley & Sons, Ltd.     

The Zonal and Seasonal CO2 Marginal Emissions Factors for the Italian Power Market

Environmental and Resource Economics - This paper estimates the seasonal and zonal $${\mathrm{CO}}_{2}$$ marginal emissions factors (MEFs) from electricity production in the Italian electricity...     

The political determinants of liberalization: do ideological cleavages still matter?

We investigate the political determinants of liberalization in OECD network industries, performing a panel estimation over 30 years, through the largest and most updated sample available. Our results contrast with the traditional wisdom according to which right-wing governments do promote market-oriented policies more intensively than left-wing ones. Our findings reveal a neglected role of the so-called neoliberalism in promoting left-wing market-oriented policy. As a result, we claim that ideological cleavages ceased to act as determinants of the liberalization wave observed in network industries. This result is confirmed when controlling for the existing regulatory conditions that executives find when elected. Furthermore, we find that the country’s exposure to other countries’ policy initiatives acts as a positive stimulus for liberalization policies.     

Exchange Rate Regimes and Reserve Policy: The Italian Lira, 1883–1911

The three exchange rate regimes adopted by Italy from 1883 up to the eve of World War I — the gold standard (1883–1893), floating rates (1894–1902), and “gold shadowing” (1903–1911)—produced a puzzling result: formal adherence to the gold standard ended in failure while shadowing the gold standard proved very successful. This paper discusses the main policies underlying Italy’s performance particularly focusing on the strategy of reserve accumulation. It presents a cointegration analysis identifying a distinct co-movement between exchange rate, reserves, and banknotes that holds over the three sub-periods of the sample. Given this long-run relationship, the different performance in each regime is explained by the diversity of policy measures, reflected in the different variables adjusting the system in the various regimes. Italy’s variegated experience during the gold standard provides a valuable lesson about current developments in the international scenario, showing the central role of fundamentals and consistent policies.