How do the different elements in the standard bundle of property rights – such as the right of possession or the right of transfer – differentially impact outcomes, such as urban development? This paper incorporates insecure property rights into a standard model of urban land prices and density, and makes predictions about investment in land and property, informality, and the efficiency of land use. Our empirical analysis links data on institutions related to land titling and transfer with multiple urban outcomes, from 190 countries. The evidence is generally consistent with the model’s predictions, and more broadly with the Demsetz’s (1967) approach to property rights institutions. Indeed, we document world-wide improvements in the quality of institutions facilitating property transfer over time.
We revisit several leading puzzles about the aggregate stock market by incorporating into a standard dividend discount model survey expectations of earnings of S&P 500 firms. Using survey expectations, while keeping discount rates constant, explains a significant part of “excess” stock price volatility, price-earnings ratio variation, and return predictability. The evidence is consistent with a mechanism in which good news about fundamentals leads to excessively optimistic forecasts of earnings, especially at long horizons, which inflate stock prices and lead to subsequent low returns. Relaxing rational expectations of fundamentals in a standard asset pricing model accounts for stock market anomalies in a parsimonious way.
We examine a new data set of laws and practices governing public procurement, as well as procurement outcomes, in 187 countries. We measure regulation as restrictions on discretion of the procuring agents. We find that laws and practices are highly correlated with each other across countries, better practices are correlated with better outcomes, but laws themselves are not correlated with outcomes. To shed light on this puzzle, we present a model of procurement in which both regulation and public sector capacity determine the efficiency of procurement. In the model, regulation is effective in countries with low public sector capacity, and detrimental in countries with high public sector capacity because it inhibits the socially optimal exercise of discretion. We find evidence broadly consistent with this prediction: regulation of procurement improves outcomes, but only in countries with low public sector capacity.
We assemble and analyze a new data set of homeowner insurance claims from 28 independently operated country subsidiaries of a multinational insurance company. A fundamental feature of the data is that such claims are often disputed, and lead to rejections or lower payments. We propose a new model of insurance, in which consumers can make invalid claims and firms can deny valid claims. In this environment, trust and honesty are critical factors that shape insurance contracts and the payment of claims, especially when the disputed amounts are too small for courts. We characterize equilibrium insurance contracts, and show how they depend on the quality of the legal system and the level of trust. We then investigate the incidence of claims, disputes and rejections of claims, and payment of claims in our data, as well as the cost and pricing of insurance. The evidence is consistent with the centrality of trust for insurance markets, as predicted by the model.
Recent empirical work has revived the Minsky hypothesis of boom-bust credit cycles driven by uctuations in investor optimism. To quantitatively assess this hypothesis, we incorporate diagnostic expectations into an otherwise standard business cycle model with heterogeneous firms and risky debt. Diagnostic expectations are a psychologically founded, forward-looking model of belief formation that captures over-reaction to news. We calibrate the diagnosticity parameter using microdata on the forecast errors of managers of listed firms in the US. The model generates countercyclical credit spreads and default rates, while the rational expectations version generates the opposite pattern. Diagnostic expectations also offer a good fit of three patterns that have been empirically documented: systematic reversals of credit spreads, systematic reversals of aggregate investment, and predictability of future bond returns. Crucially, diagnostic expectations also generate a strong fragility or sensitivity to small bad news after steady expansions. The rational expectations version of the model can account for the rst pattern but not the others. Diagnostic expectations offer a parsimonious account of major credit cycles facts, underscoring the promise of realistic expectation formation for applied business cycle modeling.