October 21, 2015
By Carlos da Costa and Marcelo Santos
We calculate optimal age-dependent labor income taxes in an environment for which the age efficiency profile is endogenously determined by human capital investment. Heterogeneous individuals are exposed to idiosyncratic shocks to their human capital investments, a key element, along with the endogeneity of human capital itself in the determination of optimal age-dependent taxes. Our results highlight the complementary role of capital income taxation when human capital is endogenous. The nature of human capital accumulation is quantitatively relevant for determining the age dependence of income taxes. We assess the cost of ignoring the endogenous nature of age-efficiency profiles.
There is a growing literature on age-dependent taxation that was initially not taken too seriously. But there are really good reasons to look at it, in particular because not all generations have have been treated equally by economic events and policies in the past. And there are also life-cycle effects that matter a lot. Also, age-dependent taxation can help overcome issues with the financing of retirement pensions. This paper adds to the literature by showing that human capital accumulation considerations are important.
October 2, 2015
A few days late, and some deadlines are tight. Send them early to avoid the crunch.
Workshop of the Australasian Macroeconomic Society, Sydney (Australia), 11-13 December 2015.
Workshop on Macroeconomic Dynamics, Milano (Italy), 21 December 2015.
Workshop on Employment Policies and Heterogeneity in the Labor Market, Bonn (Germany), 4-5 March 2015.
September 30, 2015
By Ricard Evans and Kirk Phillips
This paper presents an adjustment to commonly used approximation methods for dynamic stochastic general equilibrium (DSGE) models. Policy functions approximated around the steady state will be inaccurate away from the steady state. In some cases, this does not lead to substantial inaccuracies. In other cases, however, the model may not have a well-defined steady state, or the nature of the steady state may be at odds with its off-steady-state dynamics. We show how to simulate a DSGE model by approximating about the current state. Our method introduces an approximation error, but minimizes the error associated with a finite-order Taylor-series expansion of the model’s characterizing equations. This method is easily implemented using available simulation software and has the advantage of mimicking highly non-linear behavior. We illustrate this with a variety of simple models. We compare our technique with other simulation techniques and show that the approximation errors are approximately the same for stable, well-defined models. We also illustrate how this method can solve and simulate models that are not tractable with standard approximation methods.
(Log-)linearization clearly does not apply in some situations, and this paper details a relatively simple method that should help out those who want to stick with their standard solution tools. If you research question deals with large shocks or your model has an undefined steady-state, this paper is likely for you.
September 25, 2015
By William Zame and Jean-Paul L’Huillier
We propose a microfoundation for sticky prices. We consider a an environment in which a monopolistic firm has better information than its consumers about the nominal aggregate state. We show that, when many consumers are uninformed (and for some ranges of parameters), it is optimal for the firm to offer contracts/prices that do not depend on the state of the world; i.e. optimal contracts/prices are sticky. We establish this result first in a general mechanism design framework that allows for non-linear pricing and screening, and then show implementation under both contract-setting and price-setting. A virtue of our microfoundation is that it is compatible with a dynamic general equilibrium model with money. We analyze whether money is neutral in this framework, and discuss the implications of this microfounded friction for welfare.
Very ambitious and much needed work. Whether this model will stick or not will unfortunately depend on how easy it is to stick it in standard models…
September 22, 2015
By Amedeo Argentiero, Maurizio Bovi and Roy Cerqueti
Standard dynamic stochastic general equilibrium (DSGE) models are populated by fully-informed-optimising Muth-rational agents. This kind of agent is at odds with well-known psychological biases, not to mention real life people. In particular, there are strong theoretical and empirical reasons to believe that consumers are overly optimistic. Also, the size of over optimism is likely to show cyclical features. In this paper we simulate two DSGE models, one standard with Muth-rational consumers, the other different just because agents are allowed to over consume. We then compare them throughout different cyclical phases. Results show that taking into account psychological biases allows the DSGE to fit better actual data in the long-run and in an economic boom scenario. Recessions are instead characterized by pessimism. We also find that over consumption is a structural trait. Moreover, booms enlarge significantly the magnitude of the bias. These findings are in line with – and enrich – both the economic and psychological literature, implying i) that the business cycle has a non trivial psychological content, and ii) that the size of psychological biases is affected by macroeconomic evolutions.
This is interesting, but I would be careful before stating that such psychological biases are of macroeconomic importance. Indeed, the exercise here is to estimate a standard RE model, then re-estimate it with a bias parameter. The latter may be capturing any other model miss-specification, and to be honest it is difficult to get a worse fit when you add a parameter. Also, the result could also be consistent with self-fulfilling expectation, which may not be observationally different, and the latter can assume perfectly rational and unbiased agents.
September 18, 2015
By Gabriel Chodorow-Reich and Johannes Wieland
We study the effect of mean-preserving idiosyncratic industry shocks on business cycle outcomes. We develop an empirical methodology using a local area’s exposure to industry reallocation based on the area’s initial industry composition and employment trends in the rest of the country over a full employment cycle. Using confidential employment data by local area and industry over the period 1980-2014, we find sharp evidence of reallocation contributing to worse employment outcomes during national recessions but not during national expansions. We repeat our empirical exercise in a multi-area, multi-sector search and matching model of the labor market. The model reproduces the empirical results subject to inclusion of two key, empirically plausible frictions: imperfect mobility across industries, and downward nominal wage rigidity. Combining the empirical and model results, we conclude that reallocation can generate substantial amplification and persistence of business cycles at both the local and the aggregate level.
The paper also shows that it is not sufficient to look at broad aggregates to determines the status of an economy. You also need to look at industry level data. Now the dilemma. Suppose there is some structural imbalance generating substantial unemployment. Higher inflation can then take care of the downward nominal rigidity friction in the affected industries and make the unemployed employable in those industries. But this does not solve the structural imbalance and just pushes the can down the road. Thus, should one inflate or not?
September 16, 2015
By Hippolyte D’Albis and Eleni Iliopulos
We study a benchmark model with collateral constraints and heterogeneous discounting. Contrarily to a rich literature on borrowing limits, we allow for rental markets. By incorporating this missing market, we show that impatient agents choose to rent rather than to own the collateral in the neighborhood of the deterministic steady state. Consequently, impatient agents are not indebted and borrowing constraints play no role in local dynamics.
This short paper makes a very simple point that merits highlighting. Indeed, only few models include rental markets, and as this paper shows, this can have important implications on the results.