Estimation of copula-based semiparametric time series models

This paper studies the estimation of a class of copula-based semiparametric stationary Markov models. These models are characterized by nonparametric marginal distributions and parametric copula functions, while the copulas capture all the scale-free temporal dependence of the processes. Simple estimators of the marginal distribution and the copula parameter are provided, and their asymptotic properties are established under easily verifiable conditions. These results are used to obtain root-n consistent and asymptotically normal estimators of important features of the transition distribution such as the (nonlinear) conditional moments and conditional quantiles. The semiparametric conditional quantile estimators are automatically monotonic across quantiles, which is attractive for portfolio conditional value-at-risk calculations.     

Quantile interval estimation in finite population using a multivariate ratio estimator

A new method to derive confidence intervals for quantiles in a finite populations is presented. This method uses multi-auxiliary information through a multi-variate ratio type estimator of the population distribution function.     

Book Reviews

Béla Greskovits, The Political Economy of Protest and Patience. East European and Latin American Transformations Compared
Roman Frydman, Kenneth Murphy and Andrzej Rapaczynski, Capitalism with a Comrade's Face
Lorand Ambrus-Lakatos and Mark Schaffer (eds), Fiscal Policy in Transition. Forum Report of the Economic Policy initiative No. 3
Michael Ellman and Vladimir Kontorovich (eds), The Destruction of the Soviet Economic System. An Insider' History
Louis Emmerij (ed.), Economic and Social Development into the XXI Century     

要素禀赋对中国地区经济发展影响的统计分析——基于30个省市的面板数据分位数回归

将环境作为一种要素纳入生产函数,以各省市2006-2013年的面板数据为样本建立分位数回归模型,研究了在低碳经济背景下中国地区要素禀赋对经济发展影响的地区差异。结果表明,劳动力、实物资本及环境投入是影响经济发展的主要因素,而人力资本由于尚未满足经济市场的需求并没有像我们预期的那样显著促进经济增长。经济相对落后地区,加大实物资本投入,带动产业升级是促进经济增长最有效手段;经济发展中位地区,劳动和实物资本投入均能明显拉动经济;经济相对发达地区,实物资本投入作用减弱,市场对于创新技术和人才的需求是经济继续增长的动力。     

How County-Level Agricultural Loans and Fiscal Expenditure Impact Rural Residents’ Income in China——An Empirical Study of the Hierarchical Effect by Quantile Regression

Using cross-sectional data from 853 counties in 11 western China provinces, we employ quantile regression (QR) and instrumental variable quantile regression (IVQR) to investigate the hierarchical effect of fiscal expenditure and agricultural loan on rural residents’ income. We find: (1) the relationship between agricultural loan and income is consistent with the inverted U-shape (Kuznets curve); (2) the coefficient of quantile regression for rural residents’ loan gradually decreases; particularly, the impact on the high-income group is insignificant (at 0.90 quantile); (3) for 0.10 and 0.50 quantile, the increase of fiscal expenditure would hinder rather than promote income growth; (4) the restraining effect becomes more pronounced for the lower groups; in contrast, there is a significant positive relationship between income and fiscal expenditure for 0.90 quantile’s income group. Implications for government policy formulation are propounded accordingly.     

Finite sample performance of specification tests for correlated random effects quantile panel regressions

We investigate the finite sample performance of the Abrevaya and Dahl (2008) test for coefficient heterogeneity for a correlated random effects ‘mean’ (CREM) panel quantile regression estimator. We assess size and power of the test over a range of sample sizes and panel dimensions. The test is undersized for small-to-moderate sample sizes and displays low power even with a high degree of heteroscedasticity. Size and power improve substantially in larger samples. Our results provide insight for applied researchers.     

The Residency Discount for Rents in Germany and the Tenancy Law Reform Act 2001: Evidence from Quantile Regressions

Most countries show a residency discount in rents for sitting tenants. In the wake of strong rent increases and housing shortages, Germany implemented a reform in 2001 to curtail rent increases. Based on linked housing‐tenant data for Germany, this paper estimates panel OLS and quantile regressions of rents within tenancies. The results show that rents deflated by the CPI increase strongly from 1984 until the reform in 2001, and there is a reversal in the trend afterwards. Before the reform, there is a significant residence discount which decreases in absolute value with tenure. The reform reduces rents, in particular for expensive apartments and for new leases. There is no residency discount after the reform.     

Who benefits most from property assessment taxes? Evidence from Los Angeles County

Assessment caps on property taxes are often assumed to benefit affluent homeowners the most with little gains for low-income households. Quantile regression results for Los Angeles County show that on average effective property tax rates decrease by $1994 per year due to length of ownership in the 50th percentile because of California’s Proposition 13 assessment cap. There is evidence of both horizontal and vertical inequity across the entire sample. Low-income households do benefit from California’s assessment cap as they are typically infrequent movers but their effective tax rates decrease over time. However, the most affluent households by market value do not gain the most and there is no evidence of horizontal inequity for these homeowners. There is also no evidence of horizontal inequity for middle-income households. Property tax savings vary between $18,000 and $40,000, depending on the assessed value decile and percentage quantile.     

Does inflation cause gold market price changes? evidence on the G7 countries from the tests of nonparametric quantile causality in mean and variance

This article utilizes the newly proposed nonparametric causality-in-quantiles test to examine the predictability of mean and variance of changes in gold prices based on inflation for G7 countries. The causality-in-quantiles approach permits us to test for not only causality in mean but also causality in variance. We start our investigation by utilizing tests for nonlinearity. These tests identify nonlinearity, showing that the linear Granger causality tests are subject to misspecification error. Unlike tests of misspecified linear models, our nonparametric causality-in-quantiles tests find causality in mean and variance from inflation to gold market price changes between the 0.20 quantile and the 0.70 quantile, implying that very low- and high-price changes in gold markets are not related to inflation. These changes should be related to other sources, such as financial shocks and exchange market shocks. We find support that gold serves as a hedge against inflation, but only in the mid-quantile ranges, i.e. quantiles from 0.20 to 0.70. Our results show that gold does not serve as a hedge against inflation during periods when gold market price changes are very low or very high, which are respectively quiet and highly volatile periods.     

Diverse twins: analysing China’s impact on Italian and German exports using a multilevel quantile regressions approach

Germany and Italy are the largest manufacturing producers in Europe and export over 70% of their products to OECD countries. While they share many characteristics, they are also diverse in term of specialization and destination markets. Italy has a productive structure largely based on labour intensive sectors, while Germany is mainly specialized in high-tech goods. We study whether these characteristics make the two countries vulnerable in different ways to the competitive pressure by emerging economies, especially China, which experienced the strongest increase in export market share during the last decades. We discuss the impact of China on the export performance of Italy and Germany on OECD markets. Using data for the period 1995–2009, we implement a novel model to account for two important data characteristics: their hierarchical hidden structure (captured by a multilevel model) and the heterogeneity of the export shares (captured by a quantile approach). Results show that Chinese competition on Italy’s and Germany’s market shares differ by sectors, but, on average, Italy is not more vulnerable than Germany. These results are relevant for policy implications and for an ex-post analysis of the ‘best response’ to the Chinese competition.