Search efficiency,wage dynamics and welfare

Advances in information technology have improved the job-search process in the labor market. We analyze the effects of this improvement by constructing a search-and-matching model with two sectors: a risky sector with firm-specific productivity shocks and a risk-free sector. The risky sector is characterized by a low level of commitment between employers and workers – either party can end the employment relationship. We show that a better job-search process generates more job matches in the risky sector, and this benefits workers by improving their outside options. The effect on employers is subtle: while it is easier to fill vacancies, workers become more expensive. At the same time, the ease of finding new workers makes it harder for employers to keep their wage promises to workers and increases wage volatility. Our paper contributes to the literature by offering a novel explanation for the observed rise in wage volatility.     

Protection for sale under monopolistic competition: Beyond the CES

We extend the protection for sale model of Grossman and Helpman (1994) by introducing a general model of monopolistic competition with variable markups and incomplete pass-through. We show that the structure of protection emerging in the political equilibrium not only depends on the weight attached by the government to consumer welfare when making its policy decision, but also on the degree of market power of firms and on the terms-of-trade variations due to the degree of pass-through. Our results highlight the importance of preferences in shaping the structure of protection and are consistent with the occurring of protectionism also in unorganized industries.     

Equilibrium existence in Tullock contests with incomplete information

We prove an existence theorem for pure strategy Bayesian Nash equilibrium in Tullock contests where the information endowment of each contender is described by a countable partition.     

A dominance solvable global game with strategic substitutes

Global games emerged as an approach to equilibrium selection. For a general setting with supermodular payoffs, unique selection of equilibrium has been obtained through iterative elimination of strictly dominated strategies. For the case of global games with strategic substitutes, uniqueness of equilibrium has not been proved by iterative elimination of strictly dominated strategies, making the equilibrium less appealing. In this work we provide a condition for dominance solvability in a simple three-player binary-action global game with strategic substitutes. This opens an unexplored research agenda on the study of global games with strategic substitutes.     

Multiperiod Loans,Occasionally Binding Constraints,and Monetary Policy: A Quantitative Evaluation

We introduce multiperiod mortgage loans, fixed interest rate, a lower bound constraint on newly granted loans, and a possibly slack collateral constraint, in an otherwise standard Dynamic Stochastic General Equilibrium (DSGE) model with housing. Our nonlinear estimation shows that all those features are important to understand the evolution of mortgage debt during the recent U.S. housing market boom and bust. The transmission of monetary policy becomes dependent on the housing cycle, with weaker effects when house prices are high or start falling sharply. Higher average loan duration makes monetary policy less effective, eventually leading to asymmetric responses to positive and negative monetary shocks.     

Individual labour income,stock prices and whom it may concern

In this paper, a panel model which describes the relationship between individual labour income and stock prices in Germany is estimated. The specification allows the individuals to cluster concerning the model parameters that describe first the individual labour income dynamics and second the relationship between the individual labour income and financial markets. Methodically, a Bayesian model-based non-Gaussian panel data approach, proposed by Juarez and Steel (2010a), is used. A group of individuals with a high cluster assignment probability is found. The characteristics of this group, whose individuals share the same autoregressive dynamics and a common, relatively high dependence on financial markets, are investigated further. It can be shown that this group has a statistically significantly different partition of the major occupational groups. This leads to implications for various branches of the literature, such as the pricing of human capital contracts, the hedging of individual income risk, portfolio optimization or asset pricing.     

Earnings Instability and Tenure

We study the effect of tenure on earnings instability in Italy using the reforms of temporary employment contracts, which affected the average tenure of workers differentially across cohorts. We develop a model of earnings dynamics, and we exploit the variation of tenure and instability over time and across birth cohorts to estimate policy‐relevant parameters. Our results indicate that each year of tenure on the job reduces earnings instability by 11 percent; the drop is faster in the first three years of the match. Workers on a temporary contract have an earnings instability up to 100 percent higher than workers on a permanent contract.     

Decision-making in incomplete markets with ambiguity—a case study of a gas field acquisition

We apply utility indifference pricing to solve a contingent claim problem, valuing a connected pair of gas fields where the underlying process is not standard Geometric Brownian Motion and the assumption of complete markets is not fulfilled. First, empirical data are often characterized by time-varying volatility and fat tails; therefore, we use Gaussian generalized autoregressive score (GAS) and GARCH models, extending them to Student’s t-GARCH and t-GAS. Second, an important risk (reservoir size) is not hedgeable. As a result, markets are incomplete which makes preference free pricing impossible and thus standard option pricing methodology inapplicable. Therefore, we parametrize the investor’s risk preference and use utility indifference pricing techniques. We use Least Squares Monte Carlo simulations as a dimension reduction technique in solving the resulting stochastic dynamic programming problems. Moreover, an investor often only has an approximate idea of the true probabilistic model underlying variables, making model ambiguity a relevant problem. We show empirically how model ambiguity affects project values, and importantly, how option values change as model ambiguity gets resolved in later phases of the projects. We show that traditional valuation approaches will consistently underestimate the value of project flexibility and in general lead to overly conservative investment decisions in the presence of time-dependent stochastic structures.     

Credit risk and asymmetric information: A simplified approach

We present a simple model for risky, corporate debt. Debtholders and equityholders have incomplete information about the financial state of the debt issuing company. Information is incomplete because it is delayed for all agents, and it is asymmetrically distributed between debtholders and equityholders. We solve for the equityholders' optimal default policy and for the credit spreads required by debtholders. Delayed information accelerates the equityholders' optimal decision to default. Interestingly, this effect is small, implying only a small impact on credit spreads. Asymmetric information, however, has a major impact on credit spreads. Our model predicts high credit spreads for short-term debt, as observed empirically in credit markets.