<abstract xmlns="http://www.w3.org/1999/xhtml">

The purpose of this paper is to explore the impact of effective teaching methods on learning outcomes in elementary schools in rural India. Particularly, this paper studies an innovative learning enhancement program called “Parrho Punjab” launched in 2007 in the Indian state of Punjab. Using cross-sectional data, the effect of the “Parrho Punjab” program on third to fifth grade children’s learning levels in basic mathematics is evaluated. This study develops combined research designs of propensity score matching technique and the difference-in-differences (DID) method. In a first step, propensity score matching technique is applied to create a synthetic control group that is as similar as possible to the treatment group in terms of pre- “Parrho Punjab” characteristics. The difference-in-differences approach is then used to estimate the effect of the program on third to fifth grade children’s learning outcomes in basic mathematics. The results indicate a positive and significant effect of the program on children’s learning outcomes in basic mathematics, underscoring the importance of effective pedagogy in enhancing learning outcomes. Combining propensity score matching with the difference-in-differences approach, this study addresses the problem of unmeasured confounding. The DID approach will produce misleading conclusions in the presence of bias due to unmeasured confounders. To the best of my knowledge, previous studies using a DID method for examining the impact of effective teaching strategies on student learning outcomes in India have not made such attempts to address the problem of confounding bias.
</abstract>

Pedagogy and Student Learning Outcomes in Elementary Schools in Rural India: A Quasi-Experimental Approach

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Migration has for a long time been a significant source of revenue for a huge number of persons in the Republic of Niger. In order to improve their families living condition, a great number of young people in Niger follow the migration path. In 2019, a total of 293 million U.S. dollars has been sent by migrants to their family members in Niger (World Bank, 2019), that is 3% of Niger GDP. The study used various time series econometric techniques including unit root test, Engle-Granger cointegration test, vector equilibrium correction method and some diagnostic tests on the residuals to inspect the connection between remittances and economic growth in Niger. The empirical results showed that there is the existence of a long run relationship between remittances and economic growth in Niger. The error correction term’s coefficient shows that about 51.62% of the discrepancy between long run and short run is corrected with a yearly data suggesting an acceptable rate of adjustment to equilibrium. Also, in the short run ceteris paribus a 10% increase in the remittances would lead to 2.03% increase in Niger Gross Domestic Product.
</abstract>

Remittances and Economic Growth in Niger: An Error Correction Mechanism Approach

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Since the smartphone market is an oligopoly market structure, consumer purchase intention is usually driven by brand preference. This research analyses the customer-to-customer market of second-hand smartphones, pointing out how the brand factor affects the consumers’ purchasing behaviour. It is found that the recovery value and life cycle of Apple smartphones are higher and longer than those of other brands. Moreover, the recovery value of other brand smartphones is significantly driven by the debut date of the Apple smartphones, implicitly forming a consumption cycle. In addition, through machine learning models, the predictability for the recovery value is able to reach 93.55%.
</abstract>

The Brand Effect: A Case Study in Taiwan Second-Hand Smartphone Market

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Immigration in Romania is a scarcely studied topic, mainly because the impact of this phenomenon is low. Romania is primarily known due to its history of emigration. This paper is a preliminary analysis of the way both temporary and permanent Romanian immigration changed at the NUTS 3 level during the 2015 migration crisis and due to COVID-19 pandemics. Internal migration was also included as the analysis was based on a component of the MASST model on in-migration, but with respect to NUTS3 level migration. The results obtained were statistically significant for the temporary migration and permanent migration. The refugees’ crisis had a direct influence on permanent migrants, while the COVID-19 pandemic left its mark on temporary migration, leading to an increase in the number of temporary migrants.
</abstract>

Immigration in Romania and Romanian in-Migration in Times of Covid-19. A Panel Data Analysis

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Accounting conservatism is necessary for more reliability and verifiability in financial reports. Studies have reported mixed results concerning the comparative level of conservatism across countries, especially the celebrated comparison between the common law and code law countries. Therefore, this study is an attempt to reinvestigate accounting conservatism in French and UK companies, using 110 French companies and 105 UK companies during the period 2011-2019. Accounting conservatism was measured depending on the asymmetric accruals-to-cash flows because it does not rely on market information and its fluctuations. The results document a greater level of conservatism in UK companies compared to French companies, which confirms the findings of several previous studies concluding that companies in common law countries are more conservative than those from code law countries. The results of this study have many implications for different parties affecting the financial information environment, especially auditors who must continuously monitor conservatism practices in financial reports to maintain an adequate level.
</abstract>

Measuring Accounting Conservatism in Financial Reports: A Comparison Between France and the United Kingdom

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The expansion of annual capital budget over the years without a corresponding increase in the volume and quality of infrastructural development in Nigeria has been attributed to those factors assumed to have great impact on the economic performance of the country. This study examined the effect of selected economic factors on the size of construction sector expenditure in Nigeria using economic data from 1981-2020. It employed econometrics statistics. The result revealed that there was a long-run co-integration among the variables with ARDL bound estimate values of F-stat. (7.40) and t-stat. (-6.56) respectively. These are higher than both the lower and upper bound critical values at 1%, 2.5%, 5% and 10% respectively. The result further revealed that exchange rate, oil prices, population, trade openness, foreign direct investment, unemployment rate, public debt and real GDP were important determinants of the size of construction sector expenditure in Nigeria. It also revealed that construction output, inflation rate, government revenue and taxation had trivial determinants due to issues relating to policy, management and execution of capital budget. The study suggested that government should make and implement apposite policies, and be diligent in allocation and management of public fund to ensure a sustainable economy through infrastructural development.
</abstract>

Estimating the Size of Construction Industry Expenditure for Economic Development and Sustainability in Nigeria: Autoregressive Distributed Lag (ARDL) Approach

AHEAD OF PRINT

Volume 12 (2023): Issue 2 (December 2023)

Volume 12 (2023): Issue 1 (July 2023)

Volume 11 (2022): Issue 1-2 (December 2022)

Volume 10 (2021): Issue 1-2 (December 2021)

Volume 9 (2020): Issue 2 (December 2020)

Volume 9 (2020): Issue 1 (August 2020)

Volume 8 (2019): Issue 2 (December 2019)

Volume 8 (2019): Issue 1 (July 2019)

Journal of Social and Economic Statistics

 The Journal of Social and Economic Statistics (JSES) is an electronic open access journal that aims to publish original papers that make interesting and novel contributions to statistical theory and its applications to real life problems.  JSES is a publication of the Department of Statistics and Econometrics of the Bucharest Academy of Economic Studies.  The journal is published two times a year (Summer and Winter issues).  The Journal is indexed in the following databases: EBSCO, RePEc, and ERIHPLUS.  As information is increasingly gaining prominence in today’s globalised society, statistical methods represent a tool of constant interest and usage. There is a multitude of issues which deserve to be studied theoretically and empirically, which are useful for researchers, managers and policy makers alike.  To gain a more comprehensive and deeper understanding on how statistical methods can be conceptualized and understood, the Journal of Social and Economic Statistics aims to present new research on the theory and practice of statistics.  The goal of JSES is to bring together articles which contribute new research ideas in all areas of statistical science, the latest theoretical and applied research in statistics. JSES calls for contributions on how statistical methods can be conceptualized, developed and applied in social and economic practical settings. We welcome empirical papers, especially papers addressing insights from case study research, which can contribute to advancing our knowledge in this important area.  Theoretical, methodological and/or empirical research papers in any sector of the economy and society, qualitative and quantitative studies, as well as conceptual approaches are invited. Suitable topics include but are not limited to:   Theoretical, applied, computational or conceptual papers related to statistics and econometrics  Modelling and simulation  Studies that focus on how statistical methods can be employed to investigate microeconomic, macroeconomic, forecasting, business, and finance related topics  Decision analysis and decision techniques  Research methods   Archiving  Sciendo archives the contents of this journal in Portico - digital long-term preservation service of scholarly books, journals and collections.  Plagiarism Policy  The editorial board is participating in a growing community of Similarity Check System's users in order to ensure that the content published is original and trustworthy. Similarity Check is a medium that allows for comprehensive manuscripts screening, aimed to eliminate plagiarism and provide a high standard and quality peer-review process. 