Working papers results

Do candidates use populism to maximize the impact of political campaigns? Is the supply of populism strategic? We apply automated text analysis to all available 2016 US Presidential campaign speeches and 2018 midterm campaign programs using a continuous index of populism. This novel dataset shows that the use of populist rhetoric is responsive to the level of expected demand for populism in the local audience. In particular, we provide evidence that current U.S. President Donald Trump uses more populist rhetoric in swing states and in locations where economic insecurity is prevalent. These findings were confirmed when the analysis was extended to recent legislative campaigns wherein candidates tended towards populism when campaigning in stiffly competitive districts where constituents are experiencing high levels of economic insecurity. We also show that pandering is more common for candidates who can credibly sustain anti-elite positions, such as those with shorter political careers. Finally, our results suggest that a populist strategy is rewarded by voters since higher levels of populism are associated with higher shares of the vote, precisely in competitive districts where voters are experiencing economic insecurity.

The mathematical framework of psychological game theory is useful for describing many forms of motivation where preferences depend directly on own or others beliefs. It allows for incorporating, e.g., emotions, reciprocity, image concerns, and self-esteem in economic analysis. We explain how and why, discussing basic theory, experiments, applied work, and methodology.

A randomized control trial with 945 entrepreneurs in Jamaica shows positive shortterm impacts of soft-skills training on business outcomes. The effects are concentrated among men, and disappear twelve months after the training. We argue that the main channel is increased adoption of recommended business practices, exclusively observed in the short run. We see persistent effects on an incentivized behavioral measure of perseverance after setbacks, a focus of this training. We compare a course focused only on soft-skills to one that combines soft-skills training with traditional business training. The effects of the combined training are never statistically significant.

A growing literature emphasizes that the output effect of fiscal consolidation hinges on its composition, as the choice of increasing revenues vs cutting expenditure is not neutral. Existing studies, however, underscore the role of local governments in a federal setting. Indeed, transfer cuts at the central level might translate into higher local taxes, changing the effective composition of the fiscal adjustment. We evaluate this transmission mechanism in Italy, where municipalities below the threshold of 5,000 inhabitants were exempted from (large) transfer cuts in 2012. This allows us to implement a difference-in-discontinuities design in order to estimate the causal impact of transfer cuts on the composition of fiscal adjustment, also because tight fiscal rules impose a balanced budget on Italian municipalities. We disclose a pass-through mechanism by which local governments react to the contraction of intergovernmentalrants by mainly increasing taxes rather than reducing spending. From a political economy perspective, this revenue based fiscal consolidation is driven by municipalities with low electoral competition and low party fragmentation.

We consider an expanded notion of social norms that render them belief-dependent and partial, formulate a series of related testable predictions, and design an experiment based on a variant of the dictator game that tests for empirical relevance. Main results: Normative beliefs influence generosity, as predicted. Degree of partiality leads to more dispersion in giving behavior, as predicted.

Psychological game theory (PGT), introduced by Geanakoplos, Pearce & Stacchetti (1989) and significantly generalized by Battigalli & Dufwenberg (2009), extends the standard game theoretic framework by letting players'utility at endnodes depend on their interactive beliefs. While it is understood that a host of applications that model and/or test the role of emotional and other psychological forces find their home in PGT, the framework is abstract and comprises complex mathematical objects, such as players' infinite hierarchies of beliefs. Thus, PGT provides little guidance on how to model specific belief-dependent motivations and use them in game theoretic analysis. This paper takes steps to fill this gap. Some aspects are simplified -e.g., which beliefs matter -but others are refined and brought closer to applications by providing more structure. We start with belief-dependent motivations and show how to embed them in game forms to obtain psychological games. We emphasize the role of time and of the perception of players' intentions. We take advantage of progress made on the foundations of game theory to expand and improve on PGT solution concepts.

We consider multi-stage games with incomplete information and observable actions, and we analyze strategic reasoning by means of epistemic events within a total state space made of all the profiles of behaviors (paths of play) and possibly incoherent infinite hierarchies of conditional beliefs. Thus, we do not rely on types structures, or similar epistemic models. Subjective rationality is defined by the conjunction of coherence of belief hierarchies, rational planning, and consistency between plan and on-path behavior. Since consistent hierarchies uniquely induce beliefs about behavior and belief hierarchies of others, we can define rationality and common strong belief in rationality, and analyze their behavioral and low-order beliefs implications, which are characterized by strong rationalizability. Our approach allows to extend known techniques to the epistemic analysis of psychological games where the utilities of outcomes depend on beliefs of order k or lower. This covers almost all applications of psychological game theory.

This paper shows that vertical foreclosure can have a dynamic rationale. By refusing to supply an efficient downstream rival, a vertically integrated incumbent sacrifices current profits but can exclude the rival by depriving it of the critical profits it needs to be successful. In turn, monopolising the downstream market may prevent the incumbent from losing most of its future profits because: (a) it allows the incumbent to extract more rents from an efficient upstream rival if future upstream entry cannot be discouraged; or (b) it also deters future upstream entry by weakening competition for the input and reducing the post-entry profits of the prospective upstream competitor.

We use monthly data on the US riskless yield curve for a 1982-2015 sample to show that mixing simple regime switching dynamics with Nelson-Siegel factor forecasts from time series models extended to encompass variables that summarize the state of monetary policy, leads to superior predictive accuracy. Such spread in forecasting power turns out to be statistically significant even controlling for parameter uncertainty and sample variation. Exploiting regimes, we obtain evidence that the increase in predictive accuracy is stronger during the Great Financial Crisis in 2007-2009, when monetary policy underwent a significant, sudden shift. Although more caution applies when transaction costs are accounted for, we also report that the increase in predictive power owed to the combination of regimes and of monetary variables that capture the stance of unconventional monetary policies is tradeable. We devise and test butterfly strategies that trade on the basis of the forecasts from the models and obtain evidence of riskadjusted profits both per se and in comparisons to simpler models.