Public health spending, tax reform, and long-run growth

Public health spending is introduced into an endogenous growth model to examine the effect of a tax reform on the growth and learning time. Unlike previous studies, the calibrated model produces an increase in the learning time, consistent with the US data.     

Markov-switching models and the unit root hypothesis in real US GDP

I find that real US GDP is better characterized as a trend stationary Markov-switching process than as having a (regime-dependent) unit root. I examine the effects of both assumptions on the analysis of business cycle features and their implications for the persistence of the dynamic response of output to a random disturbance.     

On the role of social wage comparisons in gift-exchange experiments

This study extends a bilateral gift-exchange experiment by Clark et al. (2010). We investigate how the provision of either quantitative or qualitative information on the average wage paid in all worker-employer relationships impacts the wage set by employers and worker performance. We find that information on the average wage reduces (increases) both wage offers and effort levels in one-shot (repeated) relationships.     

A direct test of hyperbolic discounting using market asset data

This paper introduces a framework that generalizes exponential discounting in a net present value model by including a quasi-hyperbolic discount parameter in the asset valuation equation. Using observed market asset data, a statistically significant quasi-hyperbolic parameter is obtained, thus rejecting exponential discounting.     

A simple method for estimating unconditional heterogeneity distributions in correlated random effects models

I propose a general, simple approach to recovering an unconditional heterogeneity distribution when a conditional distribution has been estimated. The approach can be applied to cross section models and panel data models-both static and dynamic-with unobserved heterogeneity.     

A cautionary note on computing conditional from unconditional correlations

We show that some care is needed when inferring true unconditional correlations from observed conditional correlations, which is a frequent problem in empirical finance and elsewhere. We give a general formula for the relationship between the two and demonstrate its importance in the context of the bivariate t-distribution.     

Technical change and total factor productivity growth: The case of Chinese provinces

In the literature technical change (TC) is mostly assumed to be exogenous and specified as a function of the time trend or time dummies. However, some exogenous external factors other than time can also affect TC. In this paper we model TC via time trend (external non-economic) as well as other exogenous (external economic) factors (technology shifters). For this we define technology indices based on the external economic factors and the time trend. The specification of production function is then amended to accommodate these technology indices which are not necessarily separable from the traditional inputs. That is, these technology indices allow for non-neutral shift in the production function. In doing so we are able to decompose TC (a component of TFP change) into two parts. One part is driven by time and the other part is related to producer-specific external economic factors. The latter can further be decomposed into each external economic factors. The empirical model uses panel data on Chinese provinces. We identify a number of key technology shifters and their effect on technical change and TFP growth of provinces are examined.     

Valuing improved hurricane forecasts

The value to households of improved hurricane forecasts is estimated from a pilot survey using discrete choice econometric methods. Each household is willing to pay approximately $13 for improvements in forecast attributes such as landfall time and position, wind speed, and storm surge.     

Allocative efficiency measurement with endogenous prices

In the nonparametric measurement of allocative efficiency, output prices are fixed. If prices are endogenous, the overall output in the market determines the allocative efficient point. We develop an alternative semi-nonparametric model that allows prices to be endogenously determined.     

On adding over-identifying instrumental variables to simultaneous equations

Reducing the number of over-identifying instruments, or adding them to a structural equation, increases estimation dispersion. Added instruments should be insignificant under correct specification, with parameter estimates nearly unaffected, confirmed by Monte Carlo. Selecting instruments does not affect these results.