A DYNAMIC MODEL OF HOUSING DEMAND: ESTIMATION AND POLICY IMPLICATIONS*

Using data from the PSID, we estimate a dynamic model of housing demand with nonconvex adjustment costs, credit constraints, and uncertainty about income and home prices. We simulate how consumer behavior responds to house price and income declines as well as tightening credit. In response to a negative home price shock, households early in the life cycle climb the housing ladder more quickly and invest more in housing assets due to the lower price. With a concurrent negative income shock, however, housing demand falls among young and middle aged households who stay in smaller homes rather than to trade up.     

货币政策与公司投资研究——基于微观企业动态面板数据模型

基于动态面板数据模型,通过对我国2004--2011年的A股上市公司数据的分析,采用GMM估计方法研究了我国的货币政策调整对企业投资行为的影响。研究发现：（1）紧缩的货币政策对我国企业的投资支出有显著影响。（2）货币政策的调整对企业投资存在异质性影响,从实证的结果来看,货币政策的调整对国有企业、小规模企业、低担保能力企业的影响大于对非国有企业、大规模企业、高担保能力企业的影响。     

STOCK MARKET CRASH AND EXPECTATIONS OF AMERICAN HOUSEHOLDS

This paper utilizes data on subjective probabilities to study the impact of the stock market crash of 2008 on households' expectations about the returns on the stock market index. We use data from the Health and Retirement Study that was fielded in February 2008 through February 2009. The effect of the crash is identified from the date of the interview, which is shown to be exogenous to previous stock market expectations. We estimate the effect of the crash on the population average of expected returns, the population average of the uncertainty about returns (subjective standard deviation), and the cross-sectional heterogeneity in expected returns (disagreement). We show estimates from simple reduced-form regressions on probability answers as well as from a more structural model that focuses on the parameters of interest and separates survey noise from relevant heterogeneity. We find a temporary increase in the population average of expectations and uncertainty right after the crash. The effect on cross-sectional heterogeneity is more significant and longer lasting, which implies substantial long-term increase in disagreement. The increase in disagreement is larger among the stockholders, the more informed, and those with higher cognitive capacity, and disagreement co-moves with trading volume and volatility in the market.     

INCOME UNCERTAINTY,CONSUMER DURABLES INVESTMENTS,AND HOME PRODUCTION: EVIDENCE FROM CHINA

We investigate the effect of uncertainty on home durable purchase decisions, and empirically evaluate the efficacy of consumer durable policies under uncertainty. A model of lumpy home capital adjustment shows that elevated uncertainty leads households to adopt a cautionary perspective and postpone their capital adjustment. We test this prediction using microevidence from China where both uncertainty and home production are substantial. We exploit a wide‐scale rebate program funded by the Chinese government as a natural experiment, and examine the impact on household investment. We find strong, significant, and robust evidence that greater income uncertainty inhibits durable adjustment. Our findings highlight the impediment that income uncertainty poses to investment in home durables, which are often considered as “engines of liberation” in emerging economies. (JEL E21, E64, J22, O16, O23, D91)     

HOW CERTAIN ARE DUTCH HOUSEHOLDS ABOUT FUTURE INCOME? AN EMPIRICAL ANALYSIS

The precautionary saving literature shows that income uncertainty increases savings and wealth. To estimate the magnitude of this effect, we need a measure of income uncertainty. This paper empirically analyzes subjective income uncertainty in The Netherlands. Data come from a large Dutch household survey. We measure income uncertainty by asking questions on expected household income in the next twelve months. First, we describe the data and investigate the relationship between the measure of income uncertainty and a number of household characteristics. Controlling for information on expected income changes, we find strong relationships between labor-market characteristics and the subjective income uncertainty as reported by the heads of the households. Second, we compare income uncertainty in The Netherlands with income uncertainty in the U.S. and Italy. It becomes evident that perceived income uncertainty is smaller in The Netherlands than it is in the U.S.     

知识存量的动态量化测度研究

为解决知识异质性造成的知识存量测度复杂性问题，提高隐性知识提取率,在构建知识存量动态激活模型基础上，以自动阈值调节为手段，对知识广度与深度进行度量，实现知识动态量化。以中关村云计算产业联盟作为研究对象进行实证分析，结果表明基于动态量化改进的知识存量测度方法能够提高隐性知识提取率，证明了提高联盟知识存量水平方法的有效性。     

Determinants and dynamics of migration to OECD countries in a three-dimensional panel framework

This paper investigates the determinants of bilateral immigrant flows to 19 OECD countries between 1998 and 2007 from both advanced and developing origin countries. We pay particular attention to dynamics by including both the lagged migrant flow and the migrant stock to capture partial adjustment and network effects. To correct for the dynamic panel data bias of the fixed effects estimator we use a bootstrap algorithm. Our results indicate that immigrants are primarily attracted by better income opportunities and higher growth rates abroad. Also short-run increases in the host country’s employment rate positively affect migration from both advanced and developing countries. High public services, on the other hand, discourage migration from advanced countries but exert a pull on migration from developing sources, in line with the welfare state hypothesis. Finally, we find evidence for both partial adjustment and the presence of strong network effects. This confirms that both should be considered as crucial elements of the migration model and that a correction for their joint inclusion is required.     

Global macroeconomic uncertainty

We empirically identify global macroeconomic uncertainty using a dynamic factor model, where the conditional variances of all factors are modeled as stochastic volatility processes. Applying this methodology to OECD data, we find the early 1970s and early 1980s recessions as well as the recent Great Recession of the late 2000s to be associated with increases in uncertainty at the global level, but heightened uncertainty during the early 1990s and 2000s slowdowns to be mostly confined to the national levels. We also find that global uncertainty unambiguously lowers national growth rates and raises national inflation rates, and that key macroeconomic variables like oil, commodity and stock prices as well as global liquidity act as drivers of the global dimension of uncertainty.     

Short- and long-run heterogeneous investment dynamics

In this paper, we model the dynamics of business investment taking into account asset-specific characteristics potentially affecting the reactivity of aggregate and disaggregate capital accumulation over the business cycle. We estimate Information and Communication Technologies (ICTs) and traditional investment (non-ICT) determinants within a Vector Error Correction Model testing the assumptions of the flexible accelerator and neoclassical model as well as the role of financial constraints and uncertainty. We evaluate our model on Italian data over the period 1980–2012, and we check our results also with Spanish and UK data. Our findings support the assumption that capital is heterogeneous since short- and long-run determinants are significantly different across the assets. Traditional assets experience stock adjustment costs while ICT investment incurs flow adjustment cost. In the short run, liquidity is a key determinant of investment independently of the asset type. In the long run, uncertainty significantly affects ICT. Finally, the results of the counterfactual exercises support the idea that ICT is a key policy variable to foster economic growth.     

企业创新与杠杆率动态调整关系实证研究——创新效率视角

基于沪、深证券市场2008-2017年上市公司非平衡面板数据，从研发效率和专利产出两个维度综合分析企业创新效率与杠杆率调整的动态关系。结果表明：在调整效应上，高研发效率与高专利产出有利于企业向下调整杠杆率，企业所有权异质性不会改变这种杠杆调整效应，但具有明显的非对称性，即国有企业调整效应更为显著；在加速效应上，随着研发效率提高、专利产出增加，杠杆率下降速度加快，国有企业对研发效率加速效应更敏感，而非国有企业对专利产出加速效应更敏感。     

Exploring the existence of Kuznets curve in countries' environmental efficiency using DEA window analysis

This paper, using data envelopment (DEA) window analysis and generalized method of moments (GMM) estimators, examines the existence of a Kuznets type relationship between countries' environmental efficiency and national income. Specifically, it measures the environmental efficiency of 17 OECD countries by constructing environmental efficiency ratios for the time period 1980-2002. The analysis with the application of dynamic panel data reveals that there isn't a Kuznets type relationship between environmental efficiency and income. Allowing for dynamic effects we find that the adjustment to the target ratio is instantaneous. We also find that increased economic activity does not always ensure environmental protection and thus the path of growth is important in addition to the growth itself.     

Stock market uncertainty and interest rate behaviour: a panel GARCH approach

Using a dynamic panel GARCH model for Asian countries, we find that interest rates are significantly lower when stock market uncertainty is high. Evidence of a positive relationship between stock market uncertainty and interest rate volatility is also provided.     

Heterogeneity in the dynamic effects of uncertainty on investment

We examine how aggregate profit uncertainty influences capital investment activities, focusing on heterogeneous responses of firms. We model aggregate profit uncertainty as the conditional standard deviation of a common factor across unforecasted fluctuations in the sales growth of different industries and exploit cross‐sectional variations for its estimation. From an investment forecasting model that coherently analyzes firm‐ or group‐specific effects of uncertainty, we find that the direction and the size of investment adjustment vary considerably across firms, with a significant but small negative average impact. Our results highlight the importance of accounting for heterogeneity in the transmission of uncertainty, allowing us to reconcile different views on the effect of uncertainty in the existing literature.     

我国股票市场财富效应测度的实证研究

利用我国1991～2008年股票市场与居民消费的年度数据,建立股票市场财富效应模型,采用处理非平稳时间序列回归的协整理论,对股票市场对我国城镇居民消费性支出的影响作实证分析,并用误差修正模型得到因变量的短期调整。研究结果表明：随着我国经济增长和居民收入的增加,股票财富对居民消费的影响不断增强。无论从长期还是短期分析,我国股票市场的变动都会给居民消费带来财富效应。     

股市发展与收入分配不平等

股市发展与收入分配状况的关系是金融理论界和业界广泛关注的问题之一。本文构造全球33个国家从1988年至2013年有关股市发展和收入分配不平等的面板数据,实证研究各国股市发展及自由化改革对其收入分配不平等程度的影响及内在机理。研究发现：首先,一国股市规模越大,由于门槛效应的存在,其收入分配状况趋于恶化,而流动性的提升将在一定程度上改善其收入分配状况。其次,一国股市的发展对不同收入阶层存在不同的影响。最后,股市自由化前后,股市对收入分配状况的影响存在显著差异：股市自由化之后,股市规模的扩大和股市流动性的提升将在一定程度上改善收入分配状况。     

International Environmental Agreements under Endogenous Uncertainty

This paper explores the implications of the possibility of a shift in environmental damages on the participation in environmental treaties. Using a two‐period model where the probability of a regime shift increases in the first‐period pollution stock, we examine the issue of coalition formation under both fixed and dynamic membership. Our analysis suggests that endogenous uncertainty may increase participation. We find that full cooperation may be sustained, but only in the presence of endogenous uncertainty. Interestingly, when the shift in the environmental damage is large enough, the model provides a way to solve the “puzzle of small coalitions” found in the literature related to international environmental agreements. We also find that in period 1 (period 2) endogenous uncertainty leads to a lower (higher) pollution stock under dynamic membership as compared to the fixed membership case.     

On the ambiguous economic freedom–inequality relationship

Previous research on the relationship between economic freedom and income inequality has produced mixed results. We provide a short survey of this literature, identifying potential causes for this empirical heterogeneity. Next, we replicate the results from two significant studies using six alternative measures of income inequality for an updated dataset of up to 112 countries over the period 1970–2010. Notably, we use the latest release of the Standardized World Income Inequality Dataset, which allows us to account for the uncertainty of the estimated Gini coefficients. We find that the results of previous studies are sensitive to the choice of country sample, time period and/or inequality measure used. We conclude with suggestions for future research in the area.     

A model of attrition and income for dynamic longitudinal surveys

This paper develops a random effects model of attrition and income applicable to a dynamic longitudinal survey such as the Survey of Income and Program Participation. Based on the partial dynamic adjustment hypothsis, this study finds that the speed of adjustment of income is not instantaneous as suggeted in many past studies using annual panel data. Also, the short-run coefficients are much smaller than their long-run counterparts, and the coefficient estimates differ substantially among individuals with divergent socioeconomic characteristics. Caution should therefore be exercised when applying dynamic panel data to models with the assumption of an instantaneous speed of adjustment.     

Uncertainty assessment in socially responsible and Islamic stock markets in the short and long terms: an ARDL approach

This study measures financial uncertainty for two classes of alternative financial assets (Dow Jones Islamic and Dow Jones Sustainability Indexes) and the conventional US stock market (Dow Jones Industrial Index) for the period of 1999–2017, using an asymmetric exponential GARCH model. Using an ARDL model, we propose an intertemporal dynamic analysis of uncertainty for Islamic and socially responsible stock markets. Our findings show that, first, conventional and ethical investments present high comparable levels of uncertainty for which the dynamics is time-varying. Second, uncertainty in the conventional US stock market has a significant and positive effect on the uncertainty in alternative stock markets. Thus, uncertainty characterizes conventional and ethical stock markets both in the short and long terms. In particular, while the short-term uncertainty of ethical markets might be associated with their characteristics, the long-term aspect of uncertainty for ethical funds is rather associated with the effect of the conventional stock market environment. Although these findings show mean-reversion and uncertainty spillovers from the alternative stock markets to the conventional US one, they suggest lack of safety and certainty for investments in ethic markets, which remain fragile and closely dependent on the conventional market.     

AN EMPIRICAL EXAMINATION OF THE HANGOVER EFFECT OF IRREVERSIBILITY ON INVESTMENT

Irreversibility does not only raise the user cost of capital and discourage new investment but also hinders disinvestment because of the hangover effect. This paper derives a theoretical model that separates the impact of conventional convex adjustment costs from the impact of irreversibility, based on which we test the hangover effect of irreversibility by using a panel of Dutch listed firms during 1985–2000. We find that the sample firms cut both the capital stock and the inventory stock facing shocks to sales and cash flow, but they cut the inventory stock by a larger magnitude than they cut the capital stock. Given that fixed investment is more irreversible than inventory investment, the result suggests that the diminished impact of irreversibility provides the firm with more flexibility in responding to uncertainty, which lends support for the hangover effect of irreversibility on investment.