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11.
西方产业组织学作为现代经济学的一个重要组成部分,有其稳定的分析框架和研究方法。本文从研究方法角度对其进行了梳理,分析了推理学派与实证学派各自研究方法的最新进展,研究表明:在推理学派中,其静态模型已普遍使用了推测变差方法,而其动态博弈模型已成为主流推导方法;在实证学派中,非参数检验、非线性回归以及实验经济学的广泛使用是其新特点。 相似文献
12.
Repeated dichotomous choice contingent valuation data are generated from responses to a succession of binary questions regarding
alternative prices for an environmental good. In this paper we propose a simultaneous equation model that allows for endogeneity
and error correlation across the responses at each stage of the bidding process. The model allows us to study the evolution
of anchoring effects after the second dichotomous choice question. Estimation involves the Bayesian techniques of Gibbs sampling
and data augmentation, and the application focuses on the preservation value of a natural area. The results for a data set
involving up to four successive dichotomous choice questions show that restricted multiple-bounded models are rejected by
the data with the general model. In addition, willingness to pay tends to stabilize after the second stage in the elicitation
process for the general unrestricted model. When taking anchoring effects into consideration, it is revealed that individuals’
responses in the latter stages are influenced by the sequence of bid prices offered in earlier questions. Nevertheless, they
do not have a significant effect on welfare estimates.
相似文献
13.
为研究中国商品期货市场假日效应的存在性及其特征,本文从收益和波动出发,在构建学生分布随机波动模型的基础上采用贝叶斯MCMC模拟技术对中国铜、铝、橡胶、大豆、豆粕和小麦期货市场的假日效应进行了实证分析,研究结果显示:假日前和假日后信息对商品期货交易收益及其波动均具有显著的影响,对不同交易品种而言,其影响方向及影响程度均存在一定差异;更具体地,对各类假日分别进行分析发现,元旦、春节、劳动节和国庆节的假日前和假日后信息对商品期货收益及其波动均具有显著的影响,且比分类之前假日前和假日后信息的影响能力明显增强,其个性特征也更加突出。 相似文献
14.
Anthony D. Hall Soosung Hwang Stephen E. Satchell 《Journal of Banking & Finance》2002,26(12):2301-2325
This paper investigates the presence of global style factors in global equity investment. To this end, we apply Bayesian variable selection methods from the statistics literature to give guidance in the decision to include/omit factors in a global (linear factor) stock return model. Once we have accounted for country and sector, it is possible to see which style or styles best explains current asset returns. This study does not find compelling evidence for global styles as useful explanatory factors in a fixed parameter regression model, once country and sector have been accounted for. 相似文献
15.
Ersin Ancel Ann T. Shih Sharon M. Jones Mary S. Reveley James T. Luxhøj Joni K. Evans 《Journal of Risk Research》2013,16(4):428-451
This paper illustrates the development of an object-oriented Bayesian network (OOBN) to integrate the safety risks contributing to an in-flight loss-of-control aviation accident. With the creation of a probabilistic model, inferences about changes to the states of the accident shaping or causal factors can be drawn quantitatively. These predictive safety inferences derive from qualitative reasoning to conclusions based on data, assumptions, and/or premises, and enable an analyst to identify the most prominent causal factors leading to a risk factor prioritization. Such an approach facilitates a mitigation portfolio study and assessment. The model also facilitates the computation of sensitivity values based on perturbations to the estimates in the conditional probability tables. Such computations lead to identifying the most sensitive causal factors with respect to an accident probability. This approach may lead to vulnerability discovery of emerging causal factors for which mitigations do not yet exist that then informs possible future R&D efforts. To illustrate the benefits of an OOBN in a large and complex aviation accident model, the in-flight loss-of-control accident framework model is presented. 相似文献
16.
George Chang 《Quantitative Finance》2013,13(7):723-738
Log-periodic precursors have been identified before most and perhaps all financial crashes of the Twentieth Century, but efforts to statistically validate the leading model of log-periodicity, the Johansen–Ledoit–Sornette (JLS) model, have generally failed. The main feature of this model is that log-harmonic fluctuations in financial prices are driven by similar fluctuations in expected daily returns. Here we search more broadly for evidence of any log-periodic variation in expected daily returns by estimating a regime-switching model of stock returns in which the mean return fluctuates between a high and a low value. We find such evidence prior to the two largest drawdowns in the S&P 500 since 1950. However, if we estimate a log-harmonic specification for the stock index for the same time periods, fixing the frequency and critical time according to the results of the regime-switching model, the parameters do not satisfy restrictions imposed by the JLS model. 相似文献
17.
We investigate the impact of fiscal stimuli at different levels of the government debt‐to‐GDP ratio for a sample of 17 European countries from 1970 to 2010. This is implemented in an interacted panel VAR framework in which all coefficient parameters are allowed to change continuously with the debt‐to‐GDP ratio. We find that responses to government spending shocks exhibit strong nonlinear behavior. While the overall cumulative effect of a spending shock on real GDP is positive and significant at moderate debt‐to‐GDP ratios, this effect turns negative as the ratio increases. The total cumulative effect on the trade balance as a share of GDP is negative at first but switches sign at higher levels of debt. Consequently, depending on the degree of public indebtedness, our results accommodate long‐run fiscal multipliers that are greater and smaller than one or even negative as well as twin deficit and twin divergence behavior within one sample and time period. From a policy perspective, these results lend additional support to increased prudence at high public debt ratios because the effectiveness of fiscal stimuli to boost economic activity or resolve external imbalances may not be guaranteed. 相似文献
18.
《Asia-Pacific Journal of Financial Studies》2017,46(1):32-63
One of the most important challenges for startup companies is securing financing. Indeed, it is crucial for startups to demonstrate their projects’ profitability to potential investors. We develop a model of single‐stage startup financing with signaling under ambiguity. Nature determines the ability of a technology entrepreneur (startup), who strategically chooses a costly patent level to signal his ability to potential investors. Because the project undertaken by a startup may involve highly innovative technology and may not be well known to agents, they might face ambiguity about the value of the project. To examine ambiguity effects on startup financing, we provide three different financing models in view of the degree of ambiguity: (i) no ambiguity; (ii) only investors face ambiguity; (iii) all agents face ambiguity. In each model, we derive perfect Bayesian equilibria and refine them into a unique equilibrium by imposing the Intuitive Criterion of Cho and Kreps (Quarterly Journal of Economics, 102, 1987, 179) or its extension. We analyze the refined equilibria from the perspectives of agents’ equity shares and expected profits, and equilibrium patent levels. 相似文献
19.
《International Journal of Forecasting》2014,30(4):963-980
We extend the recently introduced latent threshold dynamic models to include dependencies among the dynamic latent factors which underlie multivariate volatility. With an ability to induce time-varying sparsity in factor loadings, these models now also allow time-varying correlations among factors, which may be exploited in order to improve volatility forecasts. We couple multi-period, out-of-sample forecasting with portfolio analysis using standard and novel benchmark neutral portfolios. Detailed studies of stock index and FX time series include: multi-period, out-of-sample forecasting, statistical model comparisons, and portfolio performance testing using raw returns, risk-adjusted returns and portfolio volatility. We find uniform improvements on all measures relative to standard dynamic factor models. This is due to the parsimony of latent threshold models and their ability to exploit between-factor correlations so as to improve the characterization and prediction of volatility. These advances will be of interest to financial analysts, investors and practitioners, as well as to modeling researchers. 相似文献
20.
In the analysis of clustered and longitudinal data, which includes a covariate that varies both between and within clusters, a Hausman pretest is commonly used to decide whether subsequent inference is made using the linear random intercept model or the fixed effects model. We assess the effect of this pretest on the coverage probability and expected length of a confidence interval for the slope, conditional on the observed values of the covariate. This assessment has the advantages that it (i) relates to the values of this covariate at hand, (ii) is valid irrespective of how this covariate is generated, (iii) uses exact finite sample results, and (iv) results in an assessment that is determined by the values of this covariate and only two unknown parameters. For two real data sets, our conditional analysis shows that the confidence interval constructed after a Hausman pretest should not be used. 相似文献