An integrated model of national HRD and critical HRD: considering new possibilities for human resource development

Though both National Human Resource Development (NHRD) and Critical Human Resource Development (CHRD) have received an increasing amount of attention, only two published works have used an explicitly critical approach to discuss NHRD norms, policies, and practices. The purpose of this article was to examine and articulate the relationship between NHRD and CHRD and make a case for the importance of that relationship to the field of HRD. We identify some commonalities between NHRD and CHRD, including the shared priorities of context, culture, and empowerment, which provide a strong foundation for future focuses on theory-sharing, global awareness, holistic and socially conscious economic development, negotiated power and performance, and emancipation in HRD research and practice.     

POPULAR SUPPORT FOR TRADE AGREEMENTS AND PARTNER COUNTRY CHARACTERISTICS: EVIDENCE FROM AN UNEXPECTED ELECTION OUTCOME

Using quasi‐experimental data from a survey that was conducted immediately before and after the November 2016 presidential election, we analyze how the election of Donald Trump affected the willingness of Europeans to sign a trade and investment agreement with the United States. We find that the election outcome lead to an immediate and sizable negative effect on Europeans' image of the United States. But we do not find that, at the same time, there was a negative reaction in the willingness of Europeans to sign an agreement with the United States. (JEL F14, F55, C26, F50)     

Time in eating and food preparation among single adults

We investigate factors affecting the duration of eating and food preparation among adults in single decision-maker households. Eating time is differentiated into primary and secondary eating time and further differentiated by location: at home versus away from home. We construct a simple theoretical model, based on Becker’s household production approach, to motivate empirical equations for eating and food preparation time. Empirical analysis is performed using data from the 2006 to 2008 Eating and Health Module of the American Time Use Survey. Higher food-at-home prices are found to be associated with more time in food preparation and primary eating at home. Higher fast food prices are associated with more time in food preparation and less time in primary eating at home. We conclude that food prices influence home production and time allocation decisions. We also find that low-income adults spend more time in food preparation and primary eating at home and are less likely to eat away from home than those with more income. The presence of children in the household is associated with more time in food preparation and less time in primary eating away from home. Public policies attempting to effect an increase in food preparation among low-income, single adult households with children may need to account for limited opportunities such households can have to acquire and prepare healthier foods when additional time is required.     

Demographic Trends in Ukraine: Past,Present, and Future

Ukraine, during the first half of the twentieth century, underwent a series of man‐made demographic catastrophes—World War I, the Bolshevik Revolution, the 1932/33 famine linked to land collectivization, the massive deportations and executions of Stalin's Great Terror, and World War II. This article assembles estimates of the demographic impact of these deadly events. In their absence, it is estimated that Ukraine's hypothetical population would have been 87 million on the eve of independence in 1991, instead of its actual 52 million. Pre‐independence demographic losses were episodic and driven by external forces. By contrast, since independence in 1991, Ukraine has experienced a sustained demographic crisis of its own making. Ukraine's population declined from 52 million in 1990 to 45 million by 2013. Fertility, while it has recovered from its lowest point, remains at a TFR of about 1.5—far below replacement. Emigration, although the greatest hemorrhage of young people in the 1990s is over, is still of concern. The loss of Crimea and the unsettled state of affairs in Southeastern Ukraine give further cause for concern.     

Regional Features and the Socio-Demographic Development of the Jews of Podilia

ABSTRACT

This article examines how the Jewish national minority of Podilia – a historical-geographical region mainly in the central part of Ukraine – formed. Considerable attention is given to the demographic processes within the Jewish environment of the region and features of formation of the social characteristics of the Jewish population that manifested themselves in its resettlement, formation of localities, self-government, and professional employment. This article shows that one of the biggest Eastern European Jewish communities was formed in Podilia before the beginning of World War II. This community was represented by the largest Jewish subethnic group – Ashkenazim. The social features of the Jews of the region were determined by the fact that the Jewish population lived in small towns of the primarily agrarian region. In addition, during this period, its social structure and professional employment were determined by both national customs and traditions and the power policy.

This study shows that after the 1940s, the Jewish community in Podilia changed. The Jews suffered from the Holocaust, which forever changed the social characteristics of the Jewish population of Podilia.

Active anti-Jewish policy during the postwar totalitarian regime, latent antisemitism during the “thaw,” and the authoritarian conservative regime in the USSR from 1964 to the mid 1980s, caused significant changes in the demographic processes of the Jewish population of the region. From the 1940s to the 1980s, the Jewish population of Podilia steadily decreased. The Jewish community before the end of the 1980s noticeably lost its influence in the region, but remained the largest ethnic community there, after Russians.     

A Test for Slope Heterogeneity in Fixed Effects Models

Typical panel data models make use of the assumption that the regression parameters are the same for each individual cross-sectional unit. We propose tests for slope heterogeneity in panel data models. Our tests are based on the conditional Gaussian likelihood function in order to avoid the incidental parameters problem induced by the inclusion of individual fixed effects for each cross-sectional unit. We derive the Conditional Lagrange Multiplier test that is valid in cases where N → ∞ and T is fixed. The test applies to both balanced and unbalanced panels. We expand the test to account for general heteroskedasticity where each cross-sectional unit has its own form of heteroskedasticity. The modification is possible if T is large enough to estimate regression coefficients for each cross-sectional unit by using the MINQUE unbiased estimator for regression variances under heteroskedasticity. All versions of the test have a standard Normal distribution under general assumptions on the error distribution as N → ∞. A Monte Carlo experiment shows that the test has very good size properties under all specifications considered, including heteroskedastic errors. In addition, power of our test is very good relative to existing tests, particularly when T is not large.