New residential construction is significantly more procyclical in emerging markets than in developed countries, although the correlation between aggregate investment and output is similar across emerging and developed countries. This paper shows that a multi-sector stochastic growth model with a...

Castro and Coen-Pirani (2008) document that aggregate skilled hours and employment both became more volatile after the mid-1980s, in contrast to the simultaneous volatility decline of most aggregates, including overall hours and employment and unskilled hours and employment. In chapter 1, I...

My thesis explores the following question: how workers of different skill are allocated across jobs and unemployment over the business cycle. I am interestedin understanding the "over-qualification" of workers that occurs during periods of high unemployment, as increased congestion in the labor...

The stylized fact of time-varying volatility in financial series is commonly accepted amongst scholars as well as practitioners. The GARCH model has been exceptionally successful in this area. Our approach, the minimally cross-entropic conditional density (MCECD) model, is a generalization of...

Motivated by the problem of setting prediction intervals in time series analysis, we suggest two new methods for conditional distribution estimation. The first method is based on locally fitting a logistic model and is in the spirit of recent work on locally parametric techniques in density...

Purpose: This paper aims to provide new evidence regarding the firm performance implications of using temporal orientation (time pacing) and information technology (IT) to align an organization with its task environment. Design/methodology/approach: Using questionnaire data provided by top...

Based on the 2008 Shaanxi Statistical Yearbook and the relevant data of Shaanxi GDP in the years 1952-2007, SPSS statistical software and time series analysis are used to establish ARIMA (1.2,1) time series model, according to the four steps, recognition rules and stationary test of time series...