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Housing and the Labor Market  

Robert R. Reed III

Since the experiences of the housing boom and bust in the first decade of the 21st century, there has been growing interest in studying the connections between housing markets and labor market activity. Notably, a number of theoretical works have attempted to understand how housing tenure affects labor market outcomes. Interestingly, despite the inherent appeal of the logic that homeownership reduces worker mobility, much of this research does not predict that homeownership is associated with inferior outcomes when compared to renting. Thus, it is important to also examine the implications of homeownership empirically. Although initially focused on macroeconomic studies looking at owner-occupation rates and unemployment across countries, the empirical literature expanded by introducing microeconometric research that examines an individual’s tenure status and labor market results. To begin, it appears that unemployed homeowners may not necessarily suffer from longer unemployment durations than other workers. Further, they may also be less likely to become unemployed; however, homeownership might be associated with lower wages because homeowners are limited in their job searches. In particular, homeowners suffering from negative equity seem to approach search efforts and job acceptance rates differently from other workers. Yet, such individuals are unlikely to default on their mortgages unless they experience adverse labor market shocks.


The State of DSGE Modeling  

Paul Levine

Dynamic stochastic general equilibrium (DSGE) modeling can be structured around six key criticisms leveled at the approach. The first is fundamental and common to macroeconomics and microeconomics alike—namely, problems with rationality and expected utility maximization (EUM). The second is that DSGE models examine fluctuations about an exogenous balanced growth path and there is no role for endogenous growth. The third consists of a number of concerns associated with estimation. The fourth is another fundamental problem with any micro-founded macro-model—that of heterogeneity and aggregation. The fifth and sixth concern focus on the rudimentary nature of earlier models that lacked unemployment and a banking sector. A widely used and referenced example of DSGE modeling is the Smets-Wouters (SW) medium-sized NK model. The model features rational expectations and, in an environment of uncertainty, EUM by households and firms. Preferences are consistent with a nonstochastic exogenous balanced growth path about which the model is solved. The model can be estimated by a Bayesian systems estimation method that involves four types of representative agents (households, final goods producers, trade unions, and intermediate good producers). The latter two produce differentiated labor and goods, respectively, and, in each period of time, consist of a proportion locked into existing contracts and the rest that can reoptimize. There is underemployment but no unemployment. Finally, an arbitrage condition imposed on the return on capital and bonds rules out financial frictions. Thus the model, which has become the gold standard for DSGE macro-modeling, features all six areas of concern. The model can be used as a platform to examine how the current generation of DSGE models has developed in these six dimensions. This modeling framework has also used for macro-economic policy design.


International Trade, Wages, and Unemployment  

Priyaranjan Jha

Traditional trade theory has focused on the allocation of resources between various sectors of the economy and how it changes in response to trade liberalization while maintaining the assumption of free mobility of resources across sectors within an economy. This simplifying assumption is at odds with empirical evidence which shows considerable frictions in the movement of resources between sectors, at least in the short to medium run. Workers who lose their jobs in the import competing sector may find it hard to find a job immediately in the export sector. This has given rise to a growing literature that incorporates frictions in the mobility of factors of production in general, and labor in particular, in trade models. This article surveys the literature on trade and unemployment where unemployment is caused by search frictions or wage rigidity of some kind such as minimum wage, efficiency wage, or implicit contracts. While the focus is on unemployment, any model studying the impact of trade on labor markets features wage effects, too, and a brief discussion of wage effects is also provided. Trade affects unemployment in these multi-sector models through two main channels: sectoral unemployment rates and intersectoral reallocation of resources. In newer trade models with heterogeneous firms, trade can change unemployment by affecting the allocation of resources within a sector. While the theoretical models in this literature identify various channels through which trade liberalization affects unemployment, many of these channels have opposing implications for unemployment, rendering the net effect of trade liberalization on unemployment ambiguous in many settings. This has also given rise to an empirical literature studying the implications of trade liberalization on unemployment.


Stock-Flow Models of Market Frictions and Search  

Eric Smith

Stock-flow matching is a simple and elegant framework of dynamic trade in differentiated goods. Flows of entering traders match and exchange with the stocks of previously unsuccessful traders on the other side of the market. A buyer or seller who enters a market for a single, indivisible good such as a job or a home does not experience impediments to trade. All traders are fully informed about the available trading options; however, each of the available options in the stock on the other side of the market may or may not be suitable. If fortunate, this entering trader immediately finds a viable option in the stock of available opportunities and trade occurs straightaway. If unfortunate, none of the available opportunities suit the entrant. This buyer or seller now joins the stocks of unfulfilled traders who must wait for a new, suitable partner to enter. Three striking empirical regularities emerge from this microstructure. First, as the stock of buyers does not match with the stock of sellers, but with the flow of new sellers, the flow of new entrants becomes an important explanatory variable for aggregate trading rates. Second, the traders’ exit rates from the market are initially high, but if they fail to match quickly the exit rates become substantially slower. Third, these exit rates depend on different variables at different phases of an agent’s stay in the market. The probability that a new buyer will trade successfully depends only on the stock of sellers in the market. In contrast, the exit rate of an old buyer depends positively on the flow of new sellers, negatively on the stock of old buyers, and is independent of the stock of sellers. These three empirical relationships not only differ from those found in the familiar search literature but also conform to empirical evidence observed from unemployment outflows. Moreover, adopting the stock-flow approach enriches our understanding of output dynamics, employment flows, and aggregate economic performance. These trading mechanics generate endogenous price dispersion and price dynamics—prices depend on whether the buyer or the seller is the recent entrant, and on how many viable traders were waiting for the entrant, which varies over time. The stock-flow structure has provided insights about housing, temporary employment, and taxicab markets.


The Effects of Parental Job Loss on Children’s Outcomes  

Jenifer Ruiz-Valenzuela

Severe economic downturns are typically characterized by a high incidence of job losses. The available evidence suggests that job losers suffer short-run earning losses that persist in the long run, are more likely to remain unemployed, suffer negative health impacts, and experience an increased likelihood of divorce. Job losses have therefore the potential to generate spillover effects for other members of the household, including children. This comes about because most of the negative consequences of job loss have a direct effect on variables that enter both the production function of cognitive achievement and the health production function. Workers who lose their jobs are likely different from those who remain employed in ways that are unobserved to the researcher and that might, in turn, affect child outcomes. Omitted variable bias poses a challenge to obtaining causal estimates of parental job loss. The way the literature has tried to approximate the ideal experiment has mainly depended on whether the child outcome under analysis could be observed both before and after the shock (i.e., both before and after parental job loss), normally relying on job losses coming from plant closures or downsizes and/or individual fixed effects. A survey of the literature shows that father’s job losses seem to have a detrimental impact on outcomes measuring children’s health and school performance. The impact of mother’s job losses on these same outcomes is mixed (including negative, null, and positive impacts). The impact on more long-term outcomes is less clear, with very mixed findings when it comes to the effect of parental job loss on college enrollment, and small impacts on earnings. In many studies, though, average effects mask important differences across subgroups: the negative impact of parental job loss seems to be mostly concentrated on disadvantaged households.