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1.
Prior work has examined how, in the pursuit of long‐term goals, past goal behavior influences present goal choices. Instead, the present work focuses on how anticipating future goal behavior, specifically future goal‐inconsistent behavior, influences present goal choices. For example, how anticipating overspending on an upcoming vacation influences current spending behavior. The authors propose that the effect of anticipated goal‐inconsistent behavior on present goal choice is moderated by the perceived changeability of the future behavior. When future goal‐inconsistent behavior is perceived as changeable, consumers tend to imagine it away, and it has no systematic effect on present goal choices. However, when future goal‐inconsistent behavior is perceived as unchangeable, consumers accept it as a matter of fact, and systematic effects occur. Specifically, some consumers not only fail to buffer against future goal‐inconsistent behavior's negative consequences, but tend to exacerbate those consequences by increasing their goal‐inconsistent behavior in the present. Four studies examine this surprising behavior, using an individual difference (the response‐to‐failure scale) to identify when and for whom it occurs. The studies demonstrate the role of perceived changeability using various manipulations across multiple critical goal domains such as spending, eating, and academics.  相似文献   
2.
In this article, we account for the first time for long memory, regime switching and the conditional time-varying volatility of volatility (heteroscedasticity) to model and forecast market volatility using the heterogeneous autoregressive model of realized volatility (HAR-RV) and its extensions. We present several interesting and notable findings. First, existing models exhibit significant nonlinearity and clustering, which provide empirical evidence on the benefit of introducing regime switching and heteroscedasticity. Second, out-of-sample results indicate that combining regime switching and heteroscedasticity can substantially improve predictive power from a statistical viewpoint. More specifically, our proposed models generally exhibit higher forecasting accuracy. Third, these results are widely consistent across a variety of robustness tests such as different forecasting windows, forecasting models, realized measures, and stock markets. Consequently, this study sheds new light on forecasting future volatility.  相似文献   
3.
本文界定了金融“脱实向虚”的内涵,设计了研判金融“脱实向虚”的挂钩变量和标准。本文以1990—2019年78个国家为样本的实证研究显示:2012年我国金融出现“脱实向虚”,2012—2014年处于低度“脱实向虚”状态,2015—2018年出现了中度“脱实向虚”,2019年又回落到低度“脱实向虚”,但未来5年金融杠杆会回升。这意味着未来经济运行仍将面临高杠杆带来的系统性金融风险,以及金融杠杆波动性不断加剧给经济增长带来更大的负面冲击。宏观调控的政策取向和首要任务仍是“降杠杆”和“稳增长”。针对该形势,本文提出:一是亟须建立金融“脱实向虚”的审慎监管机制,将金融杠杆作为金融“脱实向虚”的审慎监管政策工具,将均衡金融杠杆作为研判金融“脱实向虚”的标准,前瞻性地引导金融回归服务实体经济的本位职能。二是改革现有存款基准利率的“双轨制”,实施货币政策“锁短放长”的创新性操作来消除导致金融“脱实向虚”的政策诱因。  相似文献   
4.
Medicaid provides a critical source of insurance for long‐term care, and individuals may strategically offload assets (typically to children) to meet the means‐tested eligibility requirement. In this article, we quantify the extent of such behavior using variation in the penalty for improper parent‐to‐child transfers induced by the Deficit Reduction Act of 2005. We estimate difference‐in‐differences models based on the hypothesis that only individuals with high levels of nursing home risk (high risk) will alter transfers because of the Act. We find that over a 2‐year horizon, high‐risk individuals reduced transfers to children on the extensive margin by 11 percent and that the average total amount of transfers decreased by $4,860. The results hold only for coupled respondents. We also conduct a triple‐differences analysis to examine heterogeneity with financial literacy and find that even those with a low level of financial literacy responded to the penalty.  相似文献   
5.
This study investigates the impact of terrorist attacks and political violence on the number of tourist arrivals and overnight stays in Tunisia. The dataset employed consists of monthly data that covers the period from January 2000 to September 2016, which includes several political and terrorist attacks in Tunisia and the region. Empirically, we investigate the true data generating process (DGP) of these two proxies of tourism activity by accounting for four statistical properties that characterize these series: (1) seasonality, (2) unit roots, (3) breaks, and (4) long memory behavior.Our empirical findings show strong evidence of stationarity, five breaks in the tourist arrival time series and spurious long memory behavior. By estimating a 3-state Markov switching model consisting of the mean, trend, and variance, we find that the Tunisian Jasmine revolution and two recent terrorist attacks, one at the Bardo National Museum on March 18, 2015 and the other at the tourist resort at Port El Kantaoui, Sousse on June 26, 2015, played an important role in influencing the tourism activity of the country. Our empirical findings show also that local shocks have a more important impact than international shocks in influencing tourism activity. Interestingly, we find that the effects of terrorist shocks have a long duration compared to political violence shocks. Several security, marketing, and economic policies have been proposed and discussed in the paper.  相似文献   
6.
Using high-frequency data for major volatility indexes, we compute the volatility of volatility and show that its logarithm follows a fractional Brownian motion with Hurst parameter smaller than 1/2 thereby extending to the volatility asset class the recent findings obtained for the equity index markets. The results confirm that the volatility of volatility is a rough process and it possesses the long memory property. We also show that the correlation between the volatility and the volatility of volatility is positive, consistent with observations in the volatility option market. Lastly, a robustness check using volatility futures confirms the findings.  相似文献   
7.
高速移动环境下,无线信道具有时频双选性衰落的特性,使得滤波器组多载波(Filter Bank Multi-carrier,FBMC)系统产生长突发差错。将一种基于Baker映射的混沌交织算法应用在滤波器组多载波系统中,根据混沌密钥对发送数据进行分块和重新排列,按照Baker映射规则完成数据交织。此方法可以将长突发差错变为单突发差错,结合卷积编码能有效地纠正双选信道产生的长突发差错。仿真结果表明,在双选择信道中,基于混沌交织的滤波器组多载波系统误比特率性能优于传统基于块交织的滤波器组多载波系统。  相似文献   
8.
We investigate the predictability of several range‐based stock volatility estimates and compare them with the standard close‐to‐close estimate, which is most commonly acknowledged as the volatility. The patterns of volatility changes are analysed using long short‐term memory recurrent neural networks, which are a state‐of‐the‐art method of sequence learning. We implement the analysis on all current constituents of the Dow Jones Industrial Average index and report averaged evaluation results. We find that the direction of changes in the values of range‐based estimates are more predictable than that of the estimate from daily closing values only.  相似文献   
9.
Abstract

The article discusses the Sraffian Supermultiplier (SSM) approach to growth and distribution. It makes 5 points. First, in the short run, the role of autonomous expenditure can be appreciated within a standard post Keynesian framework (Kaleckian, Kaldorian, Robinsonian, etc.). Second, and related to the first, the SSM model is a model of the long run and has to be evaluated as such. Third, in the long run, one way that capacity adjusts to demand is through an endogenous adjustment of the rate of utilization. Fourth, the SSM model is a peculiar way to reach what Garegnani called the “second Keynesian position.” Although, it respects the letter of the “Keynesian hypothesis,” it makes investment quasi-endogenous and subjects it to the growth of autonomous expenditure. Fifth, in the long run it is unlikely that “autonomous expenditure” is really autonomous. From a stock-flow consistent point of view this implies unrealistic adjustments after periods of changes in stock-flow ratios. Moreover, if we were to take this kind of adjustment at face value, there would be no space for Minskyan financial cycles. This also creates serious problems for the empirical validation of the model.  相似文献   
10.
Given that the United States is an engine of global stock market while China is the largest emerging market with a cornucopia of anomalies in particular, it is vital to investigate the risk-return relationship in the two markets. This paper brings new insights not only into risk-return tradeoff, but also to the leverage effect, with the application of the fractionally co-integrated vector auto-regression (FCVAR) model capturing the fractional cointegrated relationship and long memory property. Results show that China stock markets own the property of double long memory but the US markets don’t. Most of all, in the US market, a positive risk-return tradeoff exists for the whole sample while after the crisis, even we find the negative relation, it’s not a volatility feedback effect but low risk and high returns. However, there is only a volatility feedback effect in China stock markets. Besides, there is a leverage effect in the US market, while Chinese market exhibits a reverse one, another anomaly, indicating significant difference in the two markets again.  相似文献   
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