Exchange Rates and Casualties During the First World War

I estimate two factor models of Swiss exchange rates during the FirstWorldWar. I have data for five of the primary belligerents: Britain, France, Italy, Germany, and Austria-Hungary. At the outbreak of the war, these nations suspended convertibility of their currencies into gold with the promise that after the war each would restore convertibility at the old par. However, once convertibility was suspended, the value of each currency depended on the outcome of the war. I decompose exchange rate movements into a common trend, a common factor, and country-specific factors. Movements in the common trend are consistent with the quantity theory of money. The common factor contains information on contemporaries' expectations about the war's resolution. Innovations to this common factor are correlated with time series on soldiers killed, wounded, and taken prisoner.

The impact of synthetic biology in chemical engineering - Educational issues

This paper describes the development of syntheticbiology as a distinct entity from current industrial biotechnology and the implications for a future based on its concepts. The role of the engineering design cycle, in syntheticbiology is established and the difficulties in making and exact analogy between the two emphasised. It is suggested that process engineers can offer experience in the application of syntheticbiology to the manufacture of products which should influence the approach of the synthetic biologist. The style of teaching for syntheticbiology appears to offer a new approach at undergraduate level and the challenges to the education of process engineers in this technology are raised. Possible routes to the development of syntheticbiology teaching are suggested

Econometric Methods for Endogenously Sampled Time Series: The Case of Commodity Price Speculation in the Steel Market

This paper studies the econometric problems associated with estimation of a stochastic process that is endogenously sampled. Our interest is to infer the law of motion of a discrete-time stochastic process {p_t} that is observed only at a subset of times {t_1,...,t_n} that depend on the outcome of a probabilistic sampling rule that depends on the history of the process as well as other observed covariates x_t. We focus on a particular example where p_t denotes the daily wholesale price of a standardized steel product. However there are no formal exchanges or centralized markets where steel is traded and pt can be observed. Instead nearly all steel transaction prices are a result of private bilateral negotiations between buyers and sellers, typically intermediated by middlemen known as steel service centers. Even though there is no central record of daily transactions prices in the steel market, we do observe transaction prices for a particular firm -- a steel service center that purchases large quantities of steel in the wholesale market for subsequent resale in the retail market. The endogenous sampling problem arises from the fact that the firm only records p_t on the days that it purchases steel. We present a parametric analysis of this problem under the assumption that the timing of steel purchases is part of an optimal trading strategy that maximizes the firm's expected discounted trading profits. We derive a parametric partial information maximum likelihood (PIML) estimator that solves the endogenous sampling problem and efficiently estimates the unknown parameters of a Markov transition probability that determines the law of motion for the underlying {p_t} process. The PIML estimator also yields estimates of the structural parameters that determine the optimal trading rule. We also introduce an alternative consistent, less efficient, but computationally simpler simulated minimum distance (SMD) estimator that avoids high dimensional numerical integrations required by the PIML estimator. Using the SMD estimator, we provide estimates of a truncated lognormal AR(1) model of the wholesale price processes for particular types of steel plate. We use this to infer the share of the middleman's discounted profits that are due to markups paid by its retail customers, and the share due to price speculation. The latter measures the firm's success in forecasting steel prices and in timing its purchases in order to "buy low and sell high'." The more successful the firm is in speculation (i.e., in strategically timing its purchases), the more serious are the potential biases that would result from failing to account for the endogeneity of the sampling process.Endogenous sampling, Markov processes, Maximum likelihood, Simulation estimation

Econometric Methods for Endogenously Sampled Time Series: The Case of Commodity Price Speculation in the Steel Market

This paper studies the econometric problems associated with estimation of a stochastic process that is endogenously sampled. Our interest is to infer the law of motion of a discrete-time stochastic process {pt} that is observed only at a subset of times {t1,..., tn} that depend on the outcome of a probabilistic sampling rule that depends on the history of the process as well as other observed covariates xt . We focus on a particular example where pt denotes the daily wholesale price of a standardized steel product. However there are no formal exchanges or centralized markets where steel is traded and pt can be observed. Instead nearly all steel transaction prices are a result of private bilateral negotiations between buyers and sellers, typically intermediated by middlemen known as steel service centers. Even though there is no central record of daily transactions prices in the steel market, we do observe transaction prices for a particular firm -- a steel service center that purchases large quantities of steel in the wholesale market for subsequent resale in the retail market. The endogenous sampling problem arises from the fact that the firm only records pt on the days that it purchases steel. We present a parametric analysis of this problem under the assumption that the timing of steel purchases is part of an optimal trading strategy that maximizes the firm's expected discounted trading profits. We derive a parametric partial information maximum likelihood (PIML) estimator that solves the endogenous sampling problem and efficiently estimates the unknown parameters of a Markov transition probability that determines the law of motion for the underlying {pt} process. The PIML estimator also yields estimates of the structural parameters that determine the optimal trading rule. We also introduce an alternative consistent, less efficient, but computationally simpler simulated minimum distance (SMD) estimator that avoids high dimensional numerical integrations required by the PIML estimator. Using the SMD estimator, we provide estimates of a truncated lognormal AR(1) model of the wholesale price processes for particular types of steel plate. We use this to infer the share of the middleman's discounted profits that are due to markups paid by its retail customers, and the share due to price speculation. The latter measures the firm's success in forecasting steel prices and in timing its purchases in order to buy low and sell high'. The more successful the firm is in speculation (i.e. in strategically timing its purchases), the more serious are the potential biases that would result from failing to account for the endogeneity of the sampling process.

Middlemen versus Market Makers: A Theory of Competitive Exchange

We present a model in which the microstructure of trade in a commodity or asset is endogenously determined. Producers and consumers of a commodity (or buyers and sellers of an asset) who wish to trade can choose between two competing types of intermediaries: 'middlemen' (dealer/brokers) and 'market makers' (specialists). Market makers post publicly observable bid and ask prices, whereas the prices quoted by different middlemen are private information that can only be obtained through a costly search process. We consider an initial equilibrium where there are no market makers but there is free entry of middlemen with heterogeneous transactions costs. We characterize conditions under which entry of a single market maker can be profitable even though it is common knowledge that all surviving middlemen will undercut the market maker's publicly posted bid and ask prices in the post-entry equilibrium. The market maker's entry induces the surviving middlemen to reduce their bid-ask spreads, and as a result, all producers and consumers who choose to participate in the market enjoy a strict increase in their expected gains from trade. We show that strict Pareto improvements occur even in cases where the market maker's entry drives all middlemen out of business, monopolizing the intermediation of trade in the market.

The Response of Prices, Sales, and Output to Temporary Changes in Demand

We determine empirically how the Big Three automakers accommodate shocks to demand. They have the capability to change prices, alter labor inputs through temporary layoffs and overtime, or adjust inventories. These adjustments are interrelated, non-convex, and dynamic in nature. Combining weekly plant-level data on production schedules and output with monthly data on sales and transaction prices, we estimate a dynamic profit-maximization model of the firm. Using impulse response functions, we demonstrate that when an automaker is hit with a demand shock sales respond immediately, prices respond gradually, and production responds only after a delay. The size of the immediate sales response is linear in the size of the shock, but the delayed production response is non-convex in the size of the shock. For sufficiently large shocks the cumulative production response over the product cycle is an order of magnitude larger than the cumulative price response. We examine two recent demand shocks: the Ford Explorer/Firestone tire recall of 2000, and the September 11, 2001 terrorist attacks.

The Response of Prices, Sales, and Output to Temporary Changes in Demand

We determine empirically how the Big Three automakers accommodate shocks to demand. They have the capability to change prices, alter labor inputs through temporary layoffs and overtime, or adjust inventories. These adjustments are interrelated, non-convex, and dynamic in nature. Combining weekly plant-level data on production schedules and output with monthly data on sales and transaction prices, we estimate a dynamic profit-maximization model of the firm. Using impulse response functions, we demonstrate that when an automaker is hit with a demand shock sales respond immediately, prices respond gradually, and production responds only after a delay. The size of the immediate sales response is linear in the size of the shock, but the delayed production response is non-convex in the size of the shock. For sufficiently large shocks the cumulative production response over the product cycle is an order of magnitude larger than the cumulative price response. We examine two recent demand shocks: the Ford Explorer/Firestone tire recall of 2000, and the September 11, 2001 terrorist attacks.automobile pricing, inventories, revenue management, indirect inference

Bretton-Woods systems, old and new, and the rotation of exchange-rate regimes

A recent contribution to the literature argues that the present international monetary system in many ways operates like the Bretton-Woods system. Asia is the new periphery of the system and pursues an export-led development strategy based on undervalued exchange rates and accumulated foreign reserves. The United States remains the centre country, pursuing a monetary-policy strategy that overlooks the exchange rate. Under both regimes the United States does not take external factors into account in conducting monetary policy while the periphery does take external factors into account. We provide results of a test of this hypothesis. Then, we present a new method for decomposition of a seasonally adjusted series the business cycle and other components using a time-varying-coefficient technique that allows us to test the relationship between the cycle and macroeconomic policies under both regimes.Revived Bretton-Woods system, asymmetry hypothesis, time-series, decomposition, time-varying-coefficient estimation

The Debate about the Revived Bretton-Woods Regime: A Survey and Extension of the Literature*

This paper surveys the literature dealing with the thesis put forward by Dooley, Folkerts-Landau and Garber (DFG) that the present constellation of global exchange-rate arrangements constitutes a revived Bretton-Woods regime. DFG also argue that the revived regime will be sustainable, despite its large global imbalances. While much of the literature generated by DFG’s thesis points to specific differences between the earlier regime and revived regime that render the latter unstable, we argue that an underlying similarity between the two regimes renders the revived regime unstable. Specifically, to the extent that the present system constitutes a revived Bretton-Woods system, it is vulnerable to the same set of destabilizing forces -- including asset price bubbles and global financial crises -- that marked the latter years of the earlier regime, leading to its breakdown. We extend the Markov switching model to examine the relation between global liquidity and commodity prices. We find evidence of commodity-price bubbles in both the latter stages of the earlier Bretton-Woods regime and the revived regime.Bretton-Woods regime, international liquidity, price bubbles, Markov switching model

Tax Smoothing Implications of the Federal Debt Paydown

Tax, Tax Smoothing Implications, Federal Debt, Federal Debt Paydown, macroeconomics