This research explores whether there are systematic cross-national differences in choice-inferred risk preferences between Americans and Chinese. Study 1 found(a) that the Chinese were signi®cantly more risk seeking than the Americans, yet(b) that both nationals predicted exactly the opposite...

Many government policies affect incentives to acquire human capital. Two workhorse models dominate the literature analyzing these policies: Learning by Doing (LBD) and Ben-Porath (BP). This paper makes two novel findings related to these models. First, LBD and BP generate different predictions...

The overlapping generations (OLG) model is an important framework for analyzing any type of question in which age cohorts are affected differently by exogenous shocks. However, as the dimensions and degree of heterogeneity in these models increase, the computational burden imposed by rational...

Was the increase in income inequality in the US due to permanent shocks or merely to an increase in the variance of transitory shocks? The implications for consumption and welfare depend crucially on the answer to this question. We use CEX repeated cross-section data on consumption and income to...

Companies are increasingly adopting Artificial Intelligence (AI) today. Recently however debates started over the risk of human cognitive biases being replicated (and scaled) by AI. Research on biases in AI predicting consumer choice is incipient and focuses on observable biases. We provide a...

This research examined whether people can accurately predict the risk preferences of others.Three experiments featuring different designs revealed a systematic bias: that participants predicted others to be more risk seeking than themselves in risky choices, regardless of whether the choices...

This paper investigates the association between real estate demand and the volatility of population changes. In a financial liberalized housing market, the housing mortgage loan implies insurance function to homeowners through the default option. Larger expected volatilities in the population...

We conduct a lottery experiment to assess the predictive importance of simple choice process metrics (SCPMs) in forecasting risky 50/50 gambling decisions using different types of machine learning algorithms as well as traditional choice modeling approaches. The SCPMs are recorded during a fixed...