ERN CEIS: Centre for Economic & International Studies Working Paper Series, Vol. 16 No. 7, 10/30/2018


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  • Subject: ERN CEIS: Centre for Economic & International Studies Working Paper Series, Vol. 16 No. 7, 10/30/2018
  • Date: Wed, 31 Oct 2018 12:48:07 +0100

Title: CEIS: Centre for Economic & International Studies Working Paper Series :: SSRN

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Table of Contents

Vincenzo Atella, University of Rome, Tor Vergata - Centre for International Studies on Economic Growth (CEIS), Department of Economics and Finance, University of Rome, Tor Vergata - Faculty of Economics
Joanna Kopinska, University of Rome, Tor Vergata - Faculty of Economics, University of Rome, Tor Vergata - Centre for International Studies on Economic Growth (CEIS)

Luisa Corrado, University of Rome Tor Vergata Department of Economics and Finance
Robert Waldmann, Universita di Roma Tor Vergata, National Bureau of Economic Research (NBER)
Donghoon Yoo, Korea Labor Institute

Chiara Perricone, University of Rome, Tor Vergata


CEIS: CENTRE FOR ECONOMIC & INTERNATIONAL STUDIES
Vincenzo Atella - Director

"New Technologies and Costs" Free Download
CEIS Working Paper No. 442

VINCENZO ATELLA, University of Rome, Tor Vergata - Centre for International Studies on Economic Growth (CEIS), Department of Economics and Finance, University of Rome, Tor Vergata - Faculty of Economics
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JOANNA KOPINSKA,
University of Rome, Tor Vergata - Faculty of Economics, University of Rome, Tor Vergata - Centre for International Studies on Economic Growth (CEIS)
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Recent improvements in population health have been possible thanks to advances in sanitation and health technology. Several treatments, procedures and diagnostic devices have revolutionized modern epidemiological patterns, turning once deadly diseases into curable or preventable conditions, expanded the existing cures to more patients and diseases, and simplified procedures applied to both medical and organizational practices. From diuretics, beta blockers, vaccines, ultrasounds, tomography, HIV antiretrovirals, organ transplants and implants, laser surgery and angioplasty to human genome project, the health technologies have changed all aspects of healthcare for patients, providers, and states, bearing positive impact on social welfare. The health innovation process has however become an important driver of health expenditure growth across all countries. Not only has the technological progress generated additional financial burden, but it also expanded the volume of services provided. Even with lower unit costs, this expanded volume frequently generates higher total expenditure (Cutler & Huckman 2003; Weisbrod 1991). The future of technology costs and their impact on healthcare spending is always less certain, especially in view of the arrival of utterly new technologies, such as precision medicine and genome sequencing. While the ultimate DNA sequencing may help identifying best fit of therapies for individual genotype, incrementing its effectiveness and reducing drug waste, their characteristics are likely to be associated with high costs, with very narrow potential target population and, inversely high development costs. Also health information technology poses innovative approaches to healthcare, which will certainly revolutionize healthcare delivery. According to Kvedar et al. (2014), mobile health has the potential to widen access to high-quality and cost-efficient health services. In the recent decades business models of pharmaceutical manufacturers have changed, putting an end to blockbuster medicines and welcoming biologic drugs. Also increasingly introduced generic and biosimilar drugs drive up price competition, preventing development of treatments representing only marginal refinements with respect to the already existing therapies. In this respect, the challenge for the policymakers is to discourage over-adoption of ineffective, unnecessary and inappropriate technologies. This task has been long carried out through regulation, which according to standard economic theory is the only response to market failures and socially undesirable outcomes of healthcare markets left on their own. The potential welfare loss must be confronted with the costs of regulatory activities. Overall, so far health technology evolution has delivered important value for patients and societies, nevertheless it will continue to pose important challenges for the already stringent public finances.

"Ambiguous Economic News and Heterogeneity: What Explains Asymmetric Consumption Responses?" Free Download
CEIS Working Paper No. 443

LUISA CORRADO, University of Rome Tor Vergata Department of Economics and Finance
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ROBERT WALDMANN,
Universita di Roma Tor Vergata, National Bureau of Economic Research (NBER)
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DONGHOON YOO,
Korea Labor Institute
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We study information and consumption and whether consumers respond symmetrically to good and bad news. We defi ne a news variable and show that it has explanatory power. We, then, test the hypothesis that consumers react more to bad news than to good news using the PSID to analyze the response of households' consumption to news about aggregate future income. We find that our news variable helps one predict households' consumption change and that consumption responses are larger following negative (bad) news than positive (good) news and suggest that observed asymmetric consumption responses could be due to agents' aversion to ambiguous information.

"Wavelet Analysis for Temporal Disaggregation" Free Download
CEIS Working Paper No. 444

CHIARA PERRICONE, University of Rome, Tor Vergata
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A problem often faced by economic researchers is the interpolation or distribution of economic time series observed at low frequency into compatible higher frequency data. A method based on wavelet analysis is presented to temporal disaggregate time series. A standard `plausible' method is applied, not to the original time series, but to the smooth components resulting from a discrete wavelet transformation. This fi
rst step generates a smoothed component at the desired frequency. Subsequently, a noisy component is added to the smooth series to enforce the natural constraint of the series. The method is applied to national accounts for Euro Area, to study both flow and stock variables, and it outperforms other standard methods, as Stram and Wei or low pass interpolation when the series of interest is volatile.

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