Two‐sample nonparametric estimation of intergenerational income mobility in the United States and Sweden

We estimate intergenerational income mobility in the US and Sweden, using a new nonparametric approach. The approach addresses several empirical issues raised in the literature and applies when other estimators are infeasible. We argue that previous estimates of income mobility conceal the heterogeneous nature of the transmission mechanism by keeping mobility constant across families. The striking differences we find between mobility patterns across family backgrounds, captured by father's education, lead us to question the conventional result that intergenerational transmission of earnings is weaker in Sweden than in the United States, for important parts of the population.     

Governance of shale gas development: Insights from the Bloomington school of institutional analysis

The Review of Austrian Economics - The boom in shale gas production has been accompanied by concerns that polycentricity, whereby multiple levels of government share regulatory authority, has...     

The political economy of legal titling

The libertarian case for legal titling is that formalization of the economic (de facto) rights of those who own land and buildings improves prospects for capitalism and, ultimately, development. Although all rich countries have private property rights, we argue that the success of legal titling depends on a certain kind of state—what we call a property-protecting state—that is often missing in developing countries. We use insights from Austrian economics, public choice, and institutional economics to clarify the political basis for legal titling to improve land tenure security. Evidence from Afghanistan shows that legal titling has not worked because the country does not have a property-protecting state. We suggest focusing on improving political institutions before investing in legal titling. In the meantime, it makes more sense to register land ownership at the community level, without the state.

     

Does past unemployment experience explain the transition happiness gap?

The profound economic and political changes of the 1990s had detrimental social effects in many domains of life in post-socialist countries, including diminishing life expectancy and growing unhappiness. Despite economic improvements in the second decade of transition, research has documented that happiness lagged behind. We test whether past unemployment experience can explain this “transition happiness gap in the context of Ukraine”, a country with a painful delayed transition from planned to market economy. We analyze unique longitudinal data for the period 2003–2012. Current unemployment substantially reduces subjective wellbeing, and the effect is roughly 50% larger for men than for women. The effect of past unemployment is significant, but small in magnitude compared to the effect of current unemployment. However, it does correspond to around 8% of the ‘’transition happiness gap” found by Guriev and Melnikov (2017), suggesting that past unemployment experience can be considered as a partial explanation.     

Fixed effects instrumental variables estimation in correlated random coefficient panel data models

We provide a set of conditions sufficient for consistency of a general class of fixed effects instrumental variables (FE-IV) estimators in the context of a correlated random coefficient panel data model, where one ignores the presence of individual-specific slopes. We discuss cases where the assumptions are met and violated. Monte Carlo simulations verify that the FE-IV estimator of the population averaged effect performs notably better than other standard estimators, provided a full set of period dummies is included. We also propose a simple test of selection bias in unbalanced panels when we suspect the slopes may vary by individual.     

The role of data limitations,seasonality and frequency in asset pricing models

We demonstrate that the estimates of the Capital Asset Pricing Model (CAPM) parameters significantly differ across samples, which are based on different days of the week (representing different seasons). Our evidence suggests that the “noise” in the data is not an issue. We also show that parameter differences for mixed samples, which contain information on different seasons, are too small to distort statistical analysis. This is so because parameter estimates converge to some values (but not necessarily to the true values) for high frequencies or as the sample size becomes large. Our evidence suggests a possibility that the CAPM may hold empirically if seasonality in the parameters of the population model are taken into consideration.     

Does past unemployment experience explain the transition happiness gap?

The profound economic and political changes of the 1990s had detrimental social effects in many domains of life in post-socialist countries, including diminishing life expectancy and growing unhappiness. Despite economic improvements in the second decade of transition, research has documented that happiness lagged behind. We test whether past unemployment experience can explain this ”transition happiness gap in the context of Ukraine”, a country with a painful delayed transition from planned to market economy. We analyze unique longitudinal data for the period 2003–2012. Current unemployment substantially reduces subjective wellbeing, and the effect is roughly 50% larger for men than for women. The effect of past unemployment is significant, but small in magnitude compared to the effect of current unemployment. However, it does correspond to around 8% of the “transition happiness gap” found by Guriev and Melnikov (2017), suggesting that past unemployment experience can be considered as a partial explanation.     

The performance of cross-sectional regression tests of the CAPM with non-zero pricing errors

We show that in the presence of non-zero pricing errors, the Fama–MacBeth (FM) cross-sectional regression test is very likely to either reject the Capital Asset Pricing Model (CAPM) when it (almost) holds or accept the model when it grossly fails. We investigate the case when pricing errors are correlated with betas and demonstrate that the test performance depends crucially on the correlation, cross-sectional distribution of betas, and several other parameter values. Even when the CAPM holds exactly (pricing errors are zero) the FM test is equally likely to either reject or accept the model when typical sample sizes are used.     

An alternative measure of intergenerational income mobility based on a random coefficient model

We propose an alternative measure of the degree to which income status is transmitted from one generation to another. Our indicator of intergenerational income mobility is based on a random coefficient model, which allows for variation in intergenerational mobility across families due to multiplicative unobserved family‐specific characteristics. This alternative measure suggests that intergenerational income persistence is typically stronger than when intergenerational income mobility is measured using the standard elasticity of sons' income with respect to fathers' income. Copyright © 2011 John Wiley & Sons, Ltd.