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 ...

The purpose of this study is to investigate the impact of exchange rate misalignment on inflation persistence. For this purpose, Vector Auto Regression method and Markov Switching model is used for quarterly data during 1989:4 -2014:3. The results show that, the impact of liquidity growth and exchange rate misalignment on inflation persistence is positive. On the other hand, GDP growth has a ne...

One-fifth of US high school students report being bullied each year. We use internet search data for real-time tracking bullying patterns as COVID-19 disrupted in-person schooling. first show that pre-pandemic searches contain useful information about actual behavior. then and cyberbullying dropped 30–35 percent schools shifted to remote learning in spring 2020. The gradual return instruction s...

Subjective Well-Being and the Family: Results from an Ordered Probit Model with Multiple Random Effects The previous literature on the determinants of individual well-being has failed to fully account for the interdependencies in well-being at the family level. This paper develops an ordered probit model with multiple random effects that allows to identify the intrafamily correlation in well-be...

How much income would a woman living alone require to attain the same standard of living that she would have if she were married? What percentage of a married couple’s expenditures are controlled by the husband? How much money does a couple save on consumption goods by living together versus living apart? We propose and estimate a collective model of household behavior that permits identificati...

In this paper we construct a modeling for detection of banks which are experiencing serious problems. Sample and variable set of the study contains 30 banks of Iran during 2006-2014 and their financial ratios. Well known multivariate statistical technique (principal component analysis) was used to explore the basic financial characteristics of the banks, and discriminant Logit and Probit models ...

In this paper we propose a new testing procedure to detect the presence of a cointegrating relationship that follows a globally stationary smooth transition autoregressive (STAR) process. We start from a general VAR model, embed the STAR error correction mechanism (ECM) and then derive the generalised nonlinear STAR error correction model. We provide two operational versions of the tests. First...

for optimum planning, utilization, and management of lands, recognition of spatial variability of soil properties is necessary. this research was conducted to evaluate spatial variability of soil properties in 5000 ha of arsenjan plain in fars province. for this purpose, soil salinity, ph, particle size percentage, sodium, potassium, and organic carbon (oc) were measured on a systematic squared...

The life satisfaction approach has recently emerged as a new technique in the suite of options available to non-market valuation practitioners. Employing data from the Household, Income and Labour Dynamics in Australia (HILDA) survey and Geographic Information Systems (GIS), this paper examines the influence of scenic amenity on the life satisfaction of residents of South East Queensland (SEQ),...

We propose a framework to understand the distribution of individual wellbeing and its change over time with an application to the U.S. elderly population. Using data from the Health and Retirement Study, we estimate life-cycle dynamics and simulate individual outcome paths starting from age sixty. We use an expected utility framework and the simulated profiles to construct a measure of individu...