北京文化创意产业集聚区建设研究

近年来,北京文化创意产业发展态势良好,成效显著,形成了一批特色鲜明的文化创意产业集聚区。本文在介绍北京文化创意产业集聚区总体发展情况的基础上,着重分析总结出北京文化创意产业集聚区建设发展的四种典型模式,并提出了进一步推进文化创意产业集聚区发展的对策与思路。     

Modified efficient importance sampling for partially non‐Gaussian state space models

The construction of an importance density for partially non‐Gaussian state space models is crucial when simulation methods are used for likelihood evaluation, signal extraction, and forecasting. The method of efficient importance sampling is successful in this respect, but we show that it can be implemented in a computationally more efficient manner using standard Kalman filter and smoothing methods. Efficient importance sampling is generally applicable for a wide range of models, but it is typically a custom‐built procedure. For the class of partially non‐Gaussian state space models, we present a general method for efficient importance sampling. Our novel method makes the efficient importance sampling methodology more accessible because it does not require the computation of a (possibly) complicated density kernel that needs to be tracked for each time period. The new method is illustrated for a stochastic volatility model with a Student's t distribution.     

Macroeconomic impacts of fiscal policy shocks in the UK: A DSGE analysis

This paper develops and estimates a new-Keynesian dynamic stochastic general equilibrium (DSGE) model for the analysis of fiscal policy in the UK. We find that government consumption and investment yield the highest GDP multipliers in the short-run, whereas capital income tax and public investment have dominating effect on GDP in the long-run. When nominal interest rate is at the zero lower bound, consumption taxes and public consumption and investment are found to be the most effective fiscal instruments throughout the analysed horizon, and capital and labour income taxes are established to be the least effective. The paper also shows that the effectiveness of fiscal policy decreases in a small open-economy scenario and that nominal rigidities improve effectiveness of public spending and consumption taxes, whereas decrease that of income taxes.     

Forecasting UK house prices: A time varying coefficient approach

Previous studies of UK house prices, developed from the demand and supply ofhousing or from the asset market approach have been poor in terms of robustness and ex-post forecasting ability. The UK housing market has suffered a number of structural changes, particularly since the early 1980s with substantial house price increases, financial market deregulation and the removal of mortgage market constraints through competition. Consequently, models which assume that the underlying data-generating process is stable and apply constant parameter techniques tend to suffer in terms of parameter instability. This article uses the Time Varying Coefficient (TVC) methodology where the underlying data-generating process in the UK housing market is treated as unstable. The estimation results of the TVC regression of UK house prices is compared with those obtained from three alternative constant parameter regressions. Comparisons of forecasting performance suggest the TVC regression out-performs forecasts from an Error Correction Mechanism (ECM), Vector Autoregressive (VAR) and an Autoregressive Time Series regression.     

The effects of public spending externalities

We conduct a positive analysis on the effects of ‘externalities’ produced by government spending. To this effect, we estimate, using U.S. data, an RBC model with two salient features. First, we allow government consumption to directly affect the marginal utility of consumption. Second, we allow public capital to shift the productivity of private factors. We provide an identification analysis that supports the strategy adopted for estimating the parameters governing these two channels. On one hand, private and government consumption are robustly estimated to be substitute goods. Because of substitutability, labor supply reacts little to a government consumption shock, so the estimated output multiplier is much lower than in models with separabilities. On the other hand, our results point towards public investment being ‘unproductive’.     

The economic costs of biological predation

This paper developes a bioeconomic model to analyse the economic losses from the reduced harvesting of prey species resulting from an increase in the stock of a natural predator. Examples of large mammals creating economic damage are whales and African elephants. The economic losses depend critically on the actual management of the prey stock, although the three measures we develop are equal when the stock is managed so as to maximize the sustained economic rent from the prey species. Predation losses are illustrated by the case of the Northeastern Atlantic Minke whale, where the estimate of the average predation cost per whale in 1991–1992 is between $US 1780 and $US 2370, using Norwegian cost and earnings data. A ten percent stock increase is estimated to cause a loss of almost $US 19 million to the fishers of the prey species. If half of this cost were assigned to Norway it would be equivalent to 2.8 and 6.7 percent of the gross profits of the Norwegian cod and herring fisheries, respectively.     

The Significance of Credit Rationing on Real Investment Activity – A Test for the Significance of Capital-Market Imperfection in Japan

Does bank credit matter to the real investment finance of firms? If so, to what kind of firms does it matter, and why? Despite the progress of research in this field, there is still little empirical consensus on these problems. This paper contributes to the understanding of capital-market imperfection in Japan by answering these questions. I introduce new methods to test the significance of credit rationing and show that bank credit is indeed a very important determinant of real investment activity of small firms. The availability of long-term loans has particularly significant effects on the investment opportunities of small firms, although large firms with capital of more than 1 billion yen are free from credit rationing. JEL Classification Numbers: C51, E44, G21.     

An Agenda for Reforming Economic Theory

In this article, Nobel Prize Laureate Joseph Stiglitz argues that the standard macro-economic paradigm has failed not only to predict the crisis but also to provide insights into the design of a regulatory framework that would make a recurrence less likely. He points out that many of the underlying assumptions of the standard paradigm always seemed implausible and many of its predictions, such as those concerning the micro-economic behavior of the constituents (firms and households), are inconsistent with the empirical evidence. He then identifies a number of key modeling challenges, what he views as key ingredients that have to be incorporated in any model that is going to describe economic fluctuations or be the basis of a well-designed regulatory or monetary framework.     

Optimization of Harvesting Return from Age-Structured Population

Synopsis Maximization of the net profit from harvesting in a one-species age-structured population is analyzed. One of the control functions is the age of harvested individuals. The constructed mathematical model is similar to vintage capital models used in economics for optimal capital replacement. The optimization technique developed by authors for the capital replacement is disseminated to the formulated problem. A qualitative analysis of the problem is provided and the interpretation of results is given. Such economic topics as a zero-investment period, optimal balanced growth, and turnpike properties are discussed.     

Equity market neutral hedge funds and the stock market: an application of score-driven copula models

In this article, we study the time-varying market neutrality of equity market neutral hedge funds. We use data from the Hedge Fund Research? Equity Market Neutral Index (HFRX EH), which represents the performance of a portfolio of individual equity market neutral hedge funds. For each day, we measure different levels of association of the Standard and Poor’s 500 (S&;P 500) index and the HFRX EH. We use non-linear dynamic conditional score models of location, scale and copula that, to the best of our knowledge, have not yet been applied in the body of literature on hedge funds. We study whether the neutrality of the HFRX EH that is evidenced in the body of literature for the period of April 1993–April 2003 also holds for the following decade, for the period of May 2003–December 2016. We estimate different average levels of association for the pre-, during- and post-periods of the US financial crisis of 2008. We find that the association of the S&;P 500 and the HFRX EH, on average, is significantly positive for the pre- and post-periods of the financial crisis, and it is significantly negative for the period during the financial crisis.