8 research outputs found

    The Economic Gains to Colorado of Amendment 66

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    The tax evasion social multiplier: Evidence from Italy

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    We estimate social externalities of tax evasion in a model where congestion of the auditing resources of local tax authorities generates a social multiplier. Identification is based on a contrast of the variance of tax evasion at different levels of aggregation. We use a unique data set that contains audits of about 80,000 small businesses and professionals in Italy and also provides an exact measure of reference groups in our model. We find a social multiplier of about 3, which means that the equilibrium response to a shock that induces an exogenous variation in mean concealed income is about 3 times the initial average response. This is a short-run effect that persists to the extent that auditing resources are not adjusted to internalize the congestion externality

    Industry vs Services: Do Enforcement Institutions Matter for Specialization Patterns? Disaggregated Evidence from Spain

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    How Well Does Learning-By-Doing Explain Cost Reductions in a Carbon-Free Energy Technology?

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    The incorporation of experience curves has enhanced the treatment of technological change in models used to evaluate the cost of climate and energy policies. However, the set of activities that experience curves are assumed to capture is much broader than the set that can be characterized by learning-by-doing, the primary connection between experience curves and economic theory. How accurately do experience curves describe observed technological change? This study examines the case of photovoltaics (PV), a potentially important climate stabilization technology with robust technology dynamics. Empirical data are assembled to populate a simple engineering-based model identifying the most important factors affecting the cost of PV over the past three decades. The results indicate that learning from experience only weakly explains change in the most important cost-reducing factors - plant size, module efficiency, and the cost of silicon. They point to other explanatory variables to include in future models. Future work might also evaluate the potential for efficiency gains from policies that rely less on riding down the learning curve and more on creating incentives for firms to make investments in the types of cost-reducing activities quantified in this study
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