In this paper we consider a panel data model with error components that are both spatially and time-wise correlated. The model blends specifications typically considered in the spatial literature with those considered in the error components literature. We introduce generalizations of the generalized moments estimators suggested in Kelejian and Prucha (1999. A generalized moments estimator for ...

This paper studies firms’ demand for money by developing a differential-cash-constraint framework with firms’ entire wage bills requiring cash in advance and a fraction of investment purchases being financed by credits. In addition to conventional scale and opportunity-cost factors, firms’ financial status and profitability are crucial determinants for their money demand behavior. Employing a n...

The objective of this paper is to estimate the impacts of medium and long term participation in microfinance programs. It utilises a new, large and unique panel dataset collected from treatment and control households from 1997 to 2005. The data enables us to identify continuing participants in the program as well as newcomers and leavers. We employ different estimation strategies including trip...

This paper estimates the eff ect of informal care provision on female caregiver’s health. We use data from the German Socio-economic Panel and assess eff ects up to seven years after care provision. A simulation-based sensitivity analysis scrutinizes the sensitivity of the results with respect to potential deviations from the conditional independence assumption in the regression adjusted matchi...

Early COVID-19 presence and related deaths in Turkish cities can be explained by their international trade volume. Trade with China has a higher impact on the pandemic against total of cities. The ordering between imports, exports varies depending stage pandemic. As were sealed off many countries, continuing country increasing case numbers. Key Words: COVID-19, City-level Data Analysis, Interna...

We study the effect of interview modes on estimates of economic inequality which are based on survey data. We exploit variation in interview modes in the Austrian EU-SILC panel, where between 2007 and 2008 the interview mode was switched from personal interviews to telephone interviews for some but not all participants. We combine methods from the program evaluation literature with methods from...

We consider testing the null hypothesis of no spatial correlation against the alternative of pure first order spatial autoregression. A test statistic based on the least squares estimate has good first-order asymptotic properties, but these may not be relevant in small or moderate-sized samples, especially as (depending on properties of the spatial weight matrix) the usual parametric rate of co...

In this paper, we consider sieve instrumental variable quantile regression (IVQR) estimation of functional coefficient models where the coefficients of endogenous regressors are unknown functions of some exogenous covariates. We approximate the unknown functional coefficients by some basis functions and estimate them by the IVQR technique. We establish the uniform consistency and asymptotic nor...

A range of cross-sectional models are estimated with a view to establishing the factors that determine the valuation of professional athletes in a highly-specialised sport, with an application to cricket’s Indian Premier League (IPL). We distinguish between personal characteristic and playing ability factors, and with respect to the former, between ability in different forms of the sport. We fi...

A test strategy consisting of a two-step application of a Lagrange Multiplier test was recently suggested as a device to reveal spatial nonstationarity, spurious spatial regression and spatial cointegration. The present paper generalises the test procedure by incorporating control for biased test values emerging from unobserved heteroscedasticity. Using Monte Carlo simulation, the behaviour of ...