Several policies or interventions have been implemented in developing countries with the ultimate goal of improving educational outcomes and human capital. Although many empirical studies have pointed to mixed results of these interventions, the role of uncertainty arising from the state of nature about the educational environment and household characteristics in the efficiency of these interventions still lacks an economic mechanism. This paper aims at developing a theoretical framework that links policy interventions to educational outcomes. We characterize optimal policies and determine the conditions for enhancing social welfare.

This paper presents a simple model of an economy with heterogeneous agents to show that the redistribution of wealth among such agents can play a significant role in the propagation mechanism of financial crises. In an economy where firms with heterogeneous productivity operate under borrowing constraints, the redistribution reproduces hump-shaped responses for output and labor and procyclicality in observed productivity. In this model, a financial shock generates a persistent and hump-shaped response, whereas a productivity shock does not. Further, the redistribution of wealth significantly amplifies the persistence and hump shape of these responses following a financial shock. This model suggests that redistribution may thus be a key driving force behind the transmission of financial crises.

This paper investigates the link between consumer pessimism and U.S. economic recessions empirically. First we use structural vector autoregressive models to identify negative structural shocks to consumer confidence, which are used as a proxy for recession fear. We then apply probit models and time-varying-transition-probability Markov-switching autoregressive models to investigate how the lack of consumer confidence affects the probability of recession. We find that recession fear leads to a higher probability of economic downturns. Furthermore, strong evidence exists that an increase in market pessimism may push the economy from an expansion state to a recession state. We also find weaker evidence suggesting that a lack of consumer confidence may trap the economy in the depressed regime longer. We conclude that a lack of confidence can push the economy into recession.

This paper distinguishes two kinds of endogenous business cycle models: EBC1 models, which display dynamic indeterminacy, and EBC2 models, which display steady-state indeterminacy. Both strands of the literature have their origins in the sunspot literature that developed at the University of Pennsylvania in the 1980s. I argue that EBC1 models are part of the evolution of modern macroeconomics that has classical roots dating back to the 1920s. EBC2 models provide a microfoundation for one of the most important ideas to emerge from Keynes's (1936) General Theory of Employment, Interest and Money: that high involuntary unemployment can persist as part of the steady-state equilibrium of a market economy.

We propose a simple incomplete-markets small-open-economy model that is amenable to analytical dissection of its policy-relevant mechanisms. In contrast to its complete-markets limit, the equilibrium real exchange rate is irreducible from the incomplete-markets equilibrium. Market incompleteness exacerbates the domestic-inflation and output-gap monetary-policy trade-off in two ways: its steepness and its resulting endogenous cost-push to the trade-off. The latter depends on an equilibrium combination of structural shocks and on agents' beliefs of future events. Thus, in comparison to its complete-markets and closed-economy limits, standard Taylor-type rules are less capable of inducing determinate rational expectations equilibrium in our environment. Despite the larger policy trade-off under incomplete markets, simple policies that also respond to exchange-rate growth are able to manage expectations that drive the endogenous cost-push term. However, policies that respond directly to expectations may turn out to exacerbate the cost-push trade-off further, and thus, to be more likely to fuel self-fulfilling multiple or unstable equilibria.

This paper develops an overlapping-generations model in which agents make educational and fertility decisions under life-cycle considerations and retirement from work is distinguished from death. Gains in adult longevity induce agents to decrease fertility, invest in education, and achieve higher income in order to save more for retirement. Even if working life is shortened by early retirement, this mechanism works as long as adult longevity increases sufficiently. Our model can explain the positive effect of life expectancy on education without contradicting the fact that working life length has not substantially increased, because of retirement. We also provide new insights into the interaction between fertility and retirement decisions.

Because they ignore the household-level and macroeconomic adjustments associated with longevity improvements, the actuarial projections of the Social Security Administration overestimate the Social Security crisis. Using a general-equilibrium model with heterogeneous households and incomplete markets, I show that with these adjustments accounted for, a significantly smaller decline in benefits is needed to balance the Social Security budget. Households respond by delaying retirement and Social Security benefit collection, by working more hours, and by also saving more. In general equilibrium, these effects lead to a natural expansion of Social Security's tax base and generate significant delayed retirement credits, which the actuarial estimates completely overlook.

The New Keynesian Phillips curve (NKPC) driven by unit labor costs has been criticized for failing to match inflation dynamics and for failing to explain the duration of price contracts. This paper extends recent attempts in the literature to improve the fit of the NKPC, by introducing a fuller marginal cost proxy, unit total costs, that is derived from both labor and nonlabor unit costs; the latter include capital-related costs and production taxes. Borrowing costs are examined separately, as in the cost channel literature. Unit total costs are shown to improve the fit of the short-run variation in inflation and strengthen the empirical support for the role of expectations-based inflation persistence. They also imply a duration of fixed nominal contracts that is closer to those suggested by firm-level surveys. The cost channel becomes relatively less important when unit total costs, rather than unit labor costs, are used as a marginal cost proxy.

Time inconsistency is an essential feature of many policy problems. This paper presents and compares three methods for computing Markov-perfect optimal policies in stochastic nonlinear business cycle models. The methods considered include value function iteration, generalized Euler equations, and parameterized shadow prices. In the context of a business cycle model in which a fiscal authority chooses government spending and income taxation optimally, although lacking the ability to commit, we show that the solutions obtained using value function iteration and generalized Euler equations are somewhat more accurate than that obtained using parameterized shadow prices. Among these three methods, we show that value function iteration can be applied easily, even to environments that include a risk-sensitive fiscal authority and/or inequality constraints on government spending. We show that the risk-sensitive fiscal authority lowers government spending and income taxation, reducing the disincentive to accumulate wealth that households face.

We propose an endogenous growth model incorporating social capital. Social capital serves only as an input in the production of human capital and it involves a cost in terms of the final good. In contrast to alternative specifications, this model ensures that social capital enhances productivity gains by playing the role of a timing belt that drives the transmission and propagation of all productivity shocks. We find that, depending on the measure of social capital, the elasticity of human capital with respect to social capital varies from 6% to 10%. Finally, we investigate the short-term dynamics and imbalance effect properties of the model, depending on the value of this elasticity. In particular, we show that when the substitutability of social capital for human capital increases, the economy is better equipped to surmount initial imbalances, as individuals may allocate more working time to the final good sector without impeding economic growth.

In this paper, we investigate real-time behavior of constant-gain stochastic gradient (SG) learning, using the Phelps model of monetary policy as a testing ground. We find that whereas the self-confirming equilibrium is stable under the mean dynamics in a very large region, real-time learning diverges for all but the very smallest gain values. We employ a stochastic Lyapunov function approach to demonstrate that the SG mean dynamics is easily destabilized by the noise associated with real-time learning, because its Jacobian contains stable but very small eigenvalues. We also express caution on usage of perpetual learning algorithms with such small eigenvalues, as the real-time dynamics might diverge from the equilibrium that is stable under the mean dynamics.

This paper investigates whether temporary agency employment complements or substitutes for regular employment. We use unique administrative data that provide information on the overall size of the German market for temporary agency workers for the period 1991–2010. To take into account the interaction between the two employment forms, we identify a SVAR model with correlated innovations by volatility regimes. We find that a positive shock to temporary agency employment increases overall employment, but also leads to substitution for regular jobs.

This paper investigates patterns of variation in economic growth across and within countries using a time-varying transition matrix Markov-switching approach. The model developed here explains the dynamics of growth based on a collection of different states that countries pass into and out of over time; in addition, these states are characterized by their own submodels and growth patterns. The transition matrix among the different states varies over time—depending on the conditioning variables of each country—with a linear dynamic for each state. We develop a generalization of Diebold's EM algorithm and estimate a sample model in a panel with a transition matrix conditioned on institutional quality and the investment level. We find three states of growth: stable growth, miraculous growth, and stagnation. The results show that institutional quality is an important determinant of long-term growth, whereas the investment level plays a variety of roles: it contributes positively in countries with high-quality institutions but is of little relevance in countries with medium- or low-quality institutions.

We use an agent-based computational approach to show how inflation can worsen macroeconomic performance by disrupting the mechanism of exchange in a decentralized market economy. We find that, in our model economy, increasing the trend rate of inflation above 3% has a substantial deleterious effect, but lowering it below 3% has no significant macroeconomic consequences. Our finding remains qualitatively robust to changes in parameter values and to modifications to our model that partly address the Lucas critique. Finally, we contribute a novel explanation for why cross-country regressions may fail to detect a significant negative effect of trend inflation on output even when such an effect exists in reality.

This study examines the influence of foreign direct investment (FDI), overseas development aid (ODA), and remittances on the enrollment of girls and boys in 103 countries over the years 1970–2011. The results suggest that remittances have a contemporaneous robust significant influence on enrollment, with the positive effect being slightly higher for girls than for boys. FDI and ODA have an influence on the enrollment of girls and boys only after a significant time lag. The results also suggest that the impact of remittances on enrollment is increased through income and a well-developed financial sector; FDI through better institutions and a well-developed financial sector; and ODA through better government policy.

We study the dynamics of poverty and health in a model of endogenous growth and rational health behavior. Population health depends on the prevalence of infectious diseases that can be avoided through costly prevention. The incentive to do so comes from the negative effects of ill health on the quality and quantity of life. The model can generate a poverty trap where infectious diseases cycle between high and low prevalence. These cycles originate from the rationality of preventive behavior in contrast to the predator–prey dynamics of epidemiological models. We calibrate the model to reflect sub-Saharan Africa's recent economic recovery and analyze policy alternatives. Unconditional transfers are found to improve welfare relative to conditional health-based transfers: at low income levels, income growth (quality of life) is valued more than improvements to health (quantity of life).

This work shows the asymmetric effect of the reduction in transportation costs across different sectors in the process of the Great Divergence. Specifically, the analysis indicates that reductions in transportation costs of industrial goods enhance convergence of the growth rates of trading economies. In contrast, reductions in transportation costs of nonindustrial goods contribute to a further divergence across countries.

This paper examines the long-run relationship between trade openness and government size in a two-country dynamic general equilibrium model. We analytically show that different factor intensities in the production of tradable and nontradable sectors affect the government's response to changes in trade openness. Specifically, if the production of the nontradable sector is more capital-intensive, a positive relationship between trade openness and government size will be observed. In contrast, if the production of the tradable sector is more capital-intensive, a negative correlation between trade openness and government size will arise. This theoretical prediction is robust to both utility-enhancing and productive government expenditures. The differentiated factor intensities therefore provide a potential explanation to the mixed empirical findings in the literature about the long-run relation of trade openness and government size.

We model agents' endogenous updating of information sets over time under changing macroeconomic conditions. Building on sticky information models, the degree of inattentiveness is endogenized by allowing agents to choose between a costly full-information predictor and a costless sticky-information predictor. This is modeled as a choice between discrete alternatives under rational inattention. Recursive simulation shows that the dynamic equilibrium paths of aggregate variables are highly persistent and match the moments of U.S. data better than a model with fixed sticky information or with sticky prices, especially with regard to higher moments and the degree of persistence. Predictors are chosen in line with the predictions from rational inattention models, as the aggregate degree of attentiveness increases with rising variance of the forecast variable. Moreover, the model can generate hump-shaped impulse responses of inflation to a monetary policy shock if the degree of inattentiveness is sufficiently high.

In this paper, I explore the dynamics of real estate market fluctuations and business cycle co-movements in a neoclassical setting. Applying a dynamic stochastic general equilibrium model of collateral constraints with asset reallocation to Japan, I find that public policy shocks account well for the business cycle dynamics. In particular, taxes on land holdings of households mimic the impact of a housing preference shock, and if volatile enough, can trigger large asset price fluctuations. However, in the absence of volatility, the impact on prices is intrinsically linked to the persistence of shocks. Dependence on fixed assets such as real estate to secure collateral-based financing significantly amplifies the effect of initial shocks on the real macro aggregates. The financial accelerator works through the “redistribution channel,” shifting a large fraction of the collateral between constrained and unconstrained agents in response to an external stimuli.