In randomized controlled trials, treatment is often assigned by stratified randomization. I show that among all randomization schemes treat units with probability one half, a certain matched-pair design achieves the maximum statistical precision for estimating average effect. an important special case, optimal pairs according to baseline outcome. simulation study based on datasets from ten this...

The standard LM tests for spatial dependence in linear and panel regressions are derived under the normality and homoskedasticity assumptions of the regression disturbances. Hence, they may not be robust against non-normality or heteroskedasticity of the disturbances. Following Born and Breitung (2011), we introduce general methods to modify the standard LM tests so that they become robust agai...

The standard LM tests for spatial dependence in linear and panel regressions are derived under the normality and homoskedasticity assumptions of the regression disturbances. Hence, they may not be robust against non-normality or heteroskedasticity of the disturbances. Following Born and Breitung (2011), we introduce general methods to modify the standard LM tests so that they become robust agai...

Our research aims to determine the effect of electricity distribution and energy consumption on industrial development dynamics that occur between regions in Indonesia by adding investment inflation as control variables. The analysis tools we use are static (Fixed Effect) dynamic (GMM) panel data model with a dataset 34 provinces for 2012-2019 period. results state has significant positive indu...

Detecting and modelling structural changes in time series models have attracted great attention while relatively little effort has been paid to the test of structural changes in panel data models despite their increasing importance in economics and finance. In this paper, we propose a new approach to testing structural changes in panel data models with cross-sectional dependence. The idea is to...

From Micro Data to Causality: Forty Years of Empirical Labor Economics This overview describes the development of methods for empirical research in the field of labor economics during the past four decades. This period is characterized by the use of micro data to answer policy relevant research question. Prominent in the literature is the search for exogenous variation in treatment assignment w...

We propose structural models of investment for the econometric estimation of the real option markup. Count data models offer flexible specifications for bringing real option investment models to aggregate market data. The empirical results for oil tanker investment data are supportive for the proposed structural models, as well as the real option hypothesis. We find that the sensitivity of inve...

The evidence of the recent years in the banking network of Iran indicates the increasing trend of nonperforming loans each year; thus, the main objective of the current study is to examine the impact of bank specific factors, esp. capital adequacy ratio on the NPLs. Six years dynamic panel data (2007-2012) of 19 banks are applied to scrutinize the relationship between capital adequacy ratio as ...

the effect of business regulations on economic growth (a selection of developed and developing countries) mohammad-hossein hosseinzade bahreini assistant professor of economics,ferdowsi university of mashhad mohammad ali falahi associate professor of economics,ferdowsi university of mashhad fatemeh erfany jahanshahi m.sc. in economics abstract in this research, the relationship between business...

We explore the determinants of usage of six different types of health care services, using the Medical Expenditure Panel Survey data, years 1996-2000. We apply a number of models for univariate count data, including semiparametric, semi-nonparametric and finite mixture models. We find that the complexity of the model that is required to fit the data well depends upon the way in which the data i...