Markov-switching dynamic factor models in real time

We extend the Markov-switching dynamic factor model to account for some of the specificities of the day-to-day monitoring of economic developments from macroeconomic indicators, such as mixed sampling frequencies and ragged-edge data. First, we evaluate the theoretical gains of using data that are available promptly for computing probabilities of recession in real time. Second, we show how to estimate the model that deals with unbalanced panels of data and mixed frequencies, and examine the benefits of this extension through several Monte Carlo simulations. Finally, we assess its empirical reliability for the computation of real-time inferences of the US business cycle, and compare it with the alternative method of forecasting the probabilities of recession from balanced panels.     

基于MSP430单片机的流量显示表硬件CPU设计

随着计算机的发展,工业自动化水平的提高,在工程中流量显示表已得到了广泛的使用。显示仪表精确度的高低,直接影响着企业的经济效益。在我国现有经济水平下,使用单片机开发的流量显示表,在工程中是非常适用的。该表是用MSP430F135为主芯片,并辅以其他的外围模块构成的具有串行通讯功能,满足流量检测显示的嵌入式最小系统。     

Interpoint Distance Test of Homogeneity for Multivariate Mixture Models

Finite mixtures offer a rich class of distributions for modelling of a variety of random phenomena in numerous fields of study. Using the sample interpoint distances (IPDs), we propose the IPD‐test statistic for testing the hypothesis of homogeneity of mixture of multivariate power series distribution or multivariate normal distribution. We derive the distribution of the IPDs that are drawn from a finite mixture of the multivariate power series distribution and multivariate normal distribution. Based on the empirical distribution of the IPDs, we construct a bootstrap test of homogeneity for other multivariate finite mixture models. The IPD test is applied to mixture models for matrix‐valued distributions and a test of homogeneity for Wishart mixture is presented. Numerical comparisons show that IPD test has accurate type I errors and is more powerful in most multivariate cases than the expectation–maximization (EM) test and modified likelihood ratio test.     

Updating Input–Output Tables with Benchmark Table Series

Numerous methods have been proposed to update input–output (I–O) tables. They rely on the assumption that the economic structure will not change significantly during the interpolation period. However, this assumption may not always hold, particularly for countries experiencing rapid development. This study attempts to combine forecasting with a matrix transformation technique (MTT) to provide a new perspective on updating I–O tables. Under the assumption that changes in the trend of an economic structure are statistically significant, the method extrapolates I–O tables by combining time series models with an MTT and proceeds with only the total value added during the target years. A simulation study and empirical analysis are conducted to compare the forecasting performance of the MTT to the Generalized RAS (GRAS) and Kuroda methods. The results show that the comprehensive performance of the MTT is better than the performance of the GRAS and Kuroda methods, as measured by the Standardized Total Percentage Error, Theil's U and Mean Absolute Percentage Error indices.     

An empirical investigation of water consumption forecasting methods

Many regions on earth face daily limitations in the quantity and quality of the water resources available. As a result, it is necessary to implement reliable methodologies for water consumption forecasting that will enable the better management and planning of water resources. This research analyses, for the first time, a large database containing data from 2 million water meters in 274 unique postal codes, in one of the most densely populated areas of Europe, which faces issues of droughts and overconsumption in the hot summer months. Using the R programming language, we built and tested three alternative forecasting methodologies, employing univariate forecasting techniques including a machine-learning algorithm, with very promising results.     

Non-stationary additive utility and time consistency

Within a continuous time life cycle model of consumption and savings, I study the properties of the most general class of additive intertemporal utility functionals. They are not necessarily stationary, and do not necessarily multiplicatively separate a discount factor from “per-period utility”. I prove rigorously that time consistency holds if and only if the per-period felicity function is multiplicatively separable in $t$, the date of decision and in $s$, the date of consumption, or equivalently, if the Fisherian instantaneous subjective discount rate does not depend on $t$. The model allows to explain “anomalies in intertemporal choice” even when the agents are time consistent and various empirical regularities. On the other hand, the model allows to characterize mathematically the “effective consumption profile” of naive, time-inconsistent agents.     

Early labor market outcomes of university graduates: Does time to degree matter?

Using university administrative and survey data drawn from the AlmaLaurea Consortium, we analyze the effect of time to degree on the early labor market performance of Italian graduates. The empirical strategy allows identifying separately the impact of elapsed time to degree on the transition from university to work and on earnings from other determinants specific to the academic path completed. Findings suggest that delayed graduation reduces the employment probability (0.8% points for each year of delay), and this effect is still persistent five years after graduation. Once employed, graduates not completing their degree within the minimum period are also penalized in their net monthly earnings, even five years after graduation. The most penalized groups are women and graduates in non-scientific fields.     

A quantitative analysis of optimal sustainable monetary policies

This study examines the quantitative properties of optimal sustainable monetary policies using a monetary model with a stabilization bias. As in Kurozumi (2008), the optimal sustainable policy is a strategy considered in the absence of commitment technologies; however it is implemented following an optimal quasi-sustainable policy derived by assuming that the commitment technologies are present. This study finds that solving for the policy function of the optimal quasi-sustainable policy yields a result basically identical to the Ramsey-optimal commitment policy under a set of parameters commonly used in the literature. The simulation shows two further results: policymakers have incentive to deviate from the Ramsey-optimal commitment policy when the lagged output gap is large and the optimal quasi-sustainable policy endogenously diminishes the steadfastness of policymakers׳ commitment.     

Revisiting the matching function

There is strong empirical evidence for Cobb–Douglas matching functions. We show in this paper that this widely found relation between matches on the one hand and unemployment and vacancies on the other hand can be the result of different underlying mechanisms. Obviously, it can be generated by assuming a Cobb–Douglas matching function. Less obvious, the same relationship results from a vacancy free-entry condition and idiosyncratic productivity shocks. A positive aggregate productivity shock leads to more vacancy posting, a shift of the idiosyncratic selection cutoff and thereby more hiring. We calibrate a model with both mechanisms to administrative German labor market data and show that idiosyncratic productivity for new contacts is an important driver of the elasticity of the job-finding rate with respect to the market tightness. Accounting for idiosyncratic productivity can explain the observed negative time trend in estimated matching efficiency and asymmetric business cycle responses to large aggregate shocks.     

Do time constraint and emergency purchase situation exert same influence on shopping? A study under haptic touch influence

Marketing literature has identified emergency purchase situation and time constraint as important situational influences. However, both of them are often equated with each other as both require shopping to be done in a short time. This study makes an attempt to eliminate the confusion by studying the impact of two situation variables on product evaluation and purchase intention under the influence of haptic touch. Two studies conducted to test the hypotheses show that while emergency purchase situation has a significant impact under no-touch influence, the same can not be said for time constraint situation.