Linear Methods are often used to compute approximate solutions to dynamic models, as these models often cannot be solved analytically. Linear methods are very popular, as they can easily be implemented. Also, they provide a useful starting point for understanding more elaborate numerical...

We develop statistical methods to detect informed trading in options markets. We apply these methods to 31 companies from various sectors over 14 years analyzing approximately 9.6 million option prices. We find that option informed trading tends to cluster prior to certain events, takes place...

This appendix extends the empirical results in Chesney, Crameri, and Mancini (2011). Informed trading activities on put and call options are analyzed for 19 companies in the banking and insurance sectors from January 1996 to September 2009. Our empirical findings suggest that certain events such...

In this paper we present two general results on the existence of a discrete zero point of a function from the n-dimensional integer lattice Zn to the n-dimensional Euclidean space Rn. Under two different boundary conditions, we give a constructive proof using a combinatorial argument based on a...

Cross-sector labor reallocation is associated with costs at the micro level ranging from the costs of geographical relocation and skill change/adaptation to unemployment. We show that monotonous reallocation paths minimize the aggregate reallocation costs in the three-sector framework (relating...

Although influenza vaccine shortage is often attributed to low supply, it has been observed that even with abundant supply, a major shortage can still occur due to late delivery. In this paper, motivated by the influenza vaccine industry, we study a supply chain contracting problem in the...

As the COVID-19 pandemic strained supply chains around the world a striking, and seeming contradictory, outcome became apparent: Surges in rates of hunger in consumers occurred simultaneously with surges in food surplus and purposeful disposal. To better understand the systemic origins of this...

This paper examines the health performance rankings of the 50 U.S. state governments (SGs), and addresses the relationship between SG performance rankings and SG environmental health, economic prosperity, and state healthcare policy. We use the data envelopment analysis (DEA) to estimate and...

This paper considers the problem of changing prices over time to maximize expected revenues in the presence of unknown demand distribution parameters. It provides and compares several methods that use the sequence of past prices and observed demands to set price in the current period. A Taylor...