Data Revisions in the Estimation of DSGE Models

Revisions of US macroeconomic data are not white-noise. They are persistent, correlated with real-time data, and with high variability (around 80% of volatility observed in US real-time data). Their business cycle effects are examined in an estimated DSGE model extended with both real-time and final data. After implementing a Bayesian estimation approach, the role of both habit formation and price indexation fall significantly in the extended model. The results show how revision shocks of both output and inflation are expansionary because they occur when real-time published data are too low and the Fed reacts by cutting interest rates. Consumption revisions, by contrast, are countercyclical as consumption habits mirror the observed reduction in real-time consumption. In turn, revisions of the three variables explain 9.3% of changes of output in its long-run variance decomposition.

Report on Knowledge Exchange workshop Price of keeping knowledge: financial streams for digital preservation

In contrast to cost modeling activities, the pricing of services must be simple and transparent. Calculating and thus knowing price structures, would not only help identify the level of detail required for cost modeling of individual instititutions, but also help develop a ”public” market for services as well as clarify the division of task and the modeling of funding and revenue streams for data preservation of public institutions. This workshop has built on the results from the workshop ”The Costs and Benefits of Keeping Knowledge” which took place 11 June 2012 in Copenhagen. This expert workshop aimed at: •Identifying ways for data repositories to abstract from their complicated cost structures and arrive at one transparent pricing structure which can be aligned with available and plausible funding schemes. Those repositories will probably need a stable institutional funding stream for data management and preservation. Are there any estimates for this, absolute or as percentage of overall cost? Part of the revenue will probably have to come through data management fees upon ingest. How could that be priced? Per dataset, per GB or as a percentage of research cost? Will it be necessary to charge access prices, as they contradict the open science paradigm? •What are the price components for pricing individual services, which prices are currently being paid e.g. to commercial providers? What are the description and conditions of the service(s) delivered and guaranteed? •What types of risks are inherent in these pricing schemes? •How can services and prices be defined in an all-inclusive and simple manner, so as to enable researchers to apply for specific amount when asking for funding of data-intensive projects?Please

Monopoly price discrimination with constant elasticity demand

This paper presents new results on the welfare e¤ects of third-degree price discrimination under constant elasticity demand. We show that when both the share of the strong market under uniform pricing and the elasticity di¤erence between markets are high enough,then price discrimination not only can increase social welfare but also consumer surplus.

The Economics of Gasification: A Market-Based Approach

This paper deals with the economics of gasification facilities in general and IGCC power plants in particular. Regarding the prospects of these systems, passing the technological test is one thing, passing the economic test can be quite another. In this respect, traditional valuations assume constant input and/or output prices. Since this is hardly realistic, we allow for uncertainty in prices. We naturally look at the markets where many of the products involved are regularly traded. Futures markets on commodities are particularly useful for valuing uncertain future cash flows. Thus, revenues and variable costs can be assessed by means of sound financial concepts and actual market data. On the other hand, these complex systems provide a number of flexibility options (e.g., to choose among several inputs, outputs, modes of operation, etc.). Typically, flexibility contributes significantly to the overall value of real assets. Indeed, maximization of the asset value requires the optimal exercise of any flexibility option available. Yet the economic value of flexibility is elusive, the more so under (price) uncertainty. And the right choice of input fuels and/or output products is a main concern for the facility managers. As a particular application, we deal with the valuation of input flexibility. We follow the Real Options approach. In addition to economic variables, we also address technical and environmental issues such as energy efficiency, utility performance characteristics and emissions (note that carbon constraints are looming). Lastly, a brief introduction to some stochastic processes suitable for valuation purposes is provided.

An Alternative View of the US Price-Dividend Ratio Dynamics

As a necessary condition for the validity of the present value model, the price-dividend ratio must be stationary. However, significant market episodes seem to provide evidence of prices significantly drifting apart from dividends while other episodes show prices anchoring back to dividends. This paper investigates the stationarity of this ratio in the context of a Markov- switching model à la Hamilton (1989) where an asymmetric speed of adjustment towards a unique attractor is introduced. A three-regime model displays the best regime identification and reveals that the first part of the 90’s boom (1985-1995) and the post-war period are characterized by a stationary state featuring a slow reverting process to a relatively high attractor. Interestingly, the latter part of the 90’s boom (1996-2000), characterized by a growing price-dividend ratio, is entirely attributed to a stationary regime featuring a highly reverting process to the attractor. Finally, the post-Lehman Brothers episode of the subprime crisis can be classified into a temporary nonstationary regime.

Long Run Trends in the Price of Energy and Energy Services

4 p.

Optimal Investment in Energy Efficiency under Uncertainty

41 p.

Divergences in the Long Run Trends in the Price of Energy and of Energy Services

32 p.

Price Premium for High-Efficiency Refrigerators and Calculation of Price-Elasticities for Close-Substitutes: Combining Hedonic Pricing and Demand Systems

21 p.

Trends in Income and Price Elasticities of Transport Demand (1850-2010)

40 p.

Evaluation of Two Alternative Carbon Capture and Storage Technologies: A Stochastic Model

30 p.

Análisis de precios del mercado diario de electricidad español

El trabajo analiza los precios de la electricidad del mercado diario español. En el mismo se realiza un estudio del mercado eléctrico español y sus componentes junto con un análisis de los cambios regulatorios más significativos durante el periodo muestral. A partir de allí, se analiza la muestra a través de los estadísticos descriptivos principales. Luego se presenta un modelo general que es analizado a partir de los resultados empíricos principales obtenidos con su estimación. Finalmente, se realizan ajustes al mismo para obtener un modelo simplificado que se ajuste mejor a lo que se quiere conseguir, que es analizar la evolución de los precios de la electricidad. Los resultados del ajuste arrojan que los precios horarios dependen en su mayor parte de los precios de las horas anteriores. También que el modelo recoge muy bien la estacionalidad mensual y horaria que presenta la muestra. Por otro lado, características de la serie de precios como son la volatilidad y los saltos no quedan bien recogidos por el modelo, lo que lleva a plantearse la búsqueda de modelos alternativos.

Análisis de precios del mercado diario de electricidad español

El trabajo analiza los precios de la electricidad del mercado diario español. En el mismo se realiza un estudio del mercado eléctrico español y sus componentes junto con un análisis de los cambios regulatorios más significativos durante el periodo muestral. A partir de allí, se analiza la muestra a través de los estadísticos descriptivos principales. Luego se presenta un modelo general que es analizado a partir de los resultados empíricos principales obtenidos con su estimación. Finalmente, se realizan ajustes al mismo para obtener un modelo simplificado que se ajuste mejor a lo que se quiere conseguir, que es analizar la evolución de los precios de la electricidad. Los resultados del ajuste arrojan que los precios horarios dependen en su mayor parte de los precios de las horas anteriores. También que el modelo recoge muy bien la estacionalidad mensual y horaria que presenta la muestra. Por otro lado, características de la serie de precios como son la volatilidad y los saltos no quedan bien recogidos por el modelo, lo que lleva a plantearse la búsqueda de modelos alternativos.

Analysis of the differences between the rates of inflation associated with two aggregate price level: The case of the euro area and the United States

Idioma: Inglés Abstract: This project focuses on two indicators of prices, the GDP deflator and the consumer price index (CPI), and analyzes the differences and similarities they present. These price indexes have been chosen taking into account its great representativeness and importance to economic and social level, and its direct relationship to the overall functioning of the economy and, in particular, inflation. It should be also mentioned that this study was conducted for cases of the euro area and the United States, as the impact of these economies in the economic and social situation at international level is very significant.