A model that jointly explains aggregate asset price and macroeconomic dynamics has been elusive. The literature in macrofinance has evolved significantly since the early efforts of, e.g., Jermann (1998), Tallarini (2000), and Boldrin et al. (2001), but we still have not arrived at an agreed uponworkhorse macro-finance model: fitting onemoment better often leads to fitting other moments worse, calibrations are typically quite aggressive in order to quantitatively account for the data, and parsimony is increasingly giving way to parameter proliferation and ‘black-box’ models where it is harder to fully understand all the mechanisms at play. Relative to this, Liu and Miao (2015) take a more classic, parsimonious approach. They consider a standard real business cycle model with a representative firm and a representative agent, where the technology process is estimated in a straightforward way from the data. While the firm has a standard Cobb–Douglas production function with convex capital adjustment costs, the agent is endowed with generalized disappointment aversion (GDA) preferences and the exogenous technology growth process has timevarying mean and volatility. Introducing GDA preferences into a standard production-based model is the marginal contribution of the paper. Like Epstein and Zin (1989) preferences, GDA preferences allow for a preference for early resolution of uncertainty, and so endogenous long-run consumption risks are priced (see Kaltenbrunner and Lochstoer 2010). Time-varying mean and volatility in the technology process under Epstein–Zin (EZ) utility has been considered in prior literature (e.g., Croce 2014, Malkhozov 2014), as has disappointment aversion (DA) preferences (Campanale et al., 2010). Relative to the latter, which also features first-order risk aversion, GDA preferences can generate endogenously counter-cyclical risk aversion (Routledge and Zin 2010), which typically generates counter-cyclical risk premiums. Time-varying discount rates can in turn help to increase the volatility of the aggregate dividend claim, which is a sticking point in the literature. Liu and Miao have three main results. The first mirrors that of Tallarini (2000) and subsequent studies using EZ or DA preferences: increasing agents' sensitivity to risk (through higher firstand/or second-order risk aversion) has quantitatively
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