Home Asymmetrical Monetary Relations and Involuntary Unemployment in a General Equilibrium Model
Article Open Access

Asymmetrical Monetary Relations and Involuntary Unemployment in a General Equilibrium Model

  • Nicolas Piluso EMAIL logo
Published/Copyright: October 16, 2024

Abstract

This article aims to model Keynesian involuntary unemployment within the framework of Walrasian general equilibrium, incorporating an additional hypothesis: the possibility of credit restrictions by banks or financial intermediaries. Keynes’s theory of involuntary unemployment is based on the rejection of the “second classical postulate,” which leads to the idea that entrepreneurs alone decide the level of employment. This is what some Keynesians call the asymmetry of the wage relationship. The result is a restriction of Walras’ law, which no longer includes the labor market. However, the problem is that entrepreneurs themselves may find themselves constrained by financial intermediaries. If there is a second type of asymmetry, i.e., between banks/financial intermediaries and entrepreneurs, Walras’ law will be doubly restricted since it will also exclude the credit market. I set out to identify the consequences of the properties of involuntary unemployment in a general equilibrium model.

JEL Classification: B22; C39; E24; D50

The various economic crises experienced by developed countries have shown the extent to which credit rationing can lead to a slowdown or even a decline in economic activity.

The neo-Keynesian literature understands this phenomenon of rationing as the consequence of asymmetric information between lenders and borrowers. The seminal articles by Stiglitz and Weiss (1981), Bernanke and Getler (1989), Blinder, 1987 and, more empirically, Kashyap et al. (1994) are just a few examples. Following this tradition, Cherif (1999) shows that in the absence of knowledge of the probability of a borrower defaulting, banks are led to raise their interest rates. In so doing, they tend to attract borrowers with high-risk projects (the phenomenon of adverse selection) or to encourage borrowers, once the credit contract has been signed, to take greater risks in order to increase the profitability of the investment in the event of success (the phenomenon of moral hazard). It is in this theoretical context of information asymmetries that Gathak et al. (2002) and Kojima (2009) identify the phenomenon of credit rationing. There are also credit-restriction models in post-Keynesian theory, but in general, all prices are considered fixed (Le Héron & Mouaki, 2008; Piluso, 2019; Toussaint Armel, 2015).

In this article, I argue that such an imbalance in the credit market can be formalized in an alternative way. The relationship between “industrial capital,” represented by non-financial companies, and “financial capital,” held by banks and financial intermediaries, can be considered asymmetrical. This asymmetry characterizes the fact that when the effective interest rate is lower than the equilibrium interest rate, it is the banks that unilaterally set the amount of credit to be granted to companies. The intuition behind this research is that taking this crucial aspect into account is decisive in Keynes’s analysis of involuntary unemployment. Indeed, we shall see that in a situation of credit rationing, the traditional wage–employment relationship is substantially amended.

Keynes builds a new theory of production and employment by rejecting the “second classical postulate,” according to which the wage-earner has the capacity to arbitrate between work and leisure in order to maximize his utility (Cartelier, 1996). According to Keynes, in a situation of involuntary unemployment, wage earners are subordinated to the decisions of entrepreneurs and have no possibility of situating themselves on their labor supply curve. This is what Cartelier (1996) calls the asymmetry hypothesis between entrepreneurs and wage-earners. On the basis of this hypothesis, Keynes presents the principle of effectiveness. Entrepreneurs set the level of production and employment that allows them to maximize their expected profits.

Our framework is that of general equilibrium theory. Indeed, it is in this context that Cartelier (1995, 2018), Glustoff (1968), and Piluso and Colletis (2021) have modeled Keynes’s theory of unemployment to demonstrate that the latter is not based on assumptions of fixed prices or imperfect competition. However, from the point of view of the Keynesian project, the four economists’ model is flawed in that it shows unemployment declining as nominal wages fall. Using an analytical framework drawing on Cartelier and Glustoff, I therefore wish to show that, under certain circumstances, unemployment does not decline, even when competition and price flexibility are perfect.

The results of numerous empirical studies demonstrate the need to theoretically demonstrate the absence of any significant effect of nominal wage variations on the volume of employment, in line with the Keynesian project. For instance, Card and Krueger (1994) show that raising the minimum wage has no negative impact on employment. To do this, they compare the situation in the fast-food sector in two American states with similar socio-economic characteristics: New Jersey (where the minimum wage increased by 18% in 1992) and Pennsylvania (where the minimum wage remained stable). They found that the increase in the minimum wage had no negative effect on employment in New Jersey. Azar’s empirical study (2024) shows that a rise in wages has a different effect depending on the level of concentration in the labor market. But in all cases, the effect is weak, whether positive or negative. The effect of wage increases on employment is also neutral in the studies of Cengiz et al. (2019) and Clemens and Wither (2019). Standard theoretical approaches are generally unable to explain these results since even in new labor market theories, unemployment is explained by a real wage or a nominal wage that is both rigid and too high (Block and Galabuzi (2022), Kara, 2024; Layard et al., 1991; Ray, 2024; Zhou, 2023).

While the problem of credit rationing is borrowed from the analysis of the neo-Keynesians, I aim to develop an alternative model in which competition is perfect. There will be no question of asymmetric information or real price rigidity. Furthermore, even if I assume that a certain number of prices are parametric, the market price of the consumer good is perfectly flexible. Consequently, if this market is considered representative of the functioning of n goods markets, this means that the prices of goods on these n markets are flexible. The analysis developed in this article is therefore neither neo-Keynesian (which assumes, among other things, imperfect information) nor disequilibrium theory (which assumes that all prices are fixed).[1] Our approach is in line with the theoretical approach taken by Glustoff (1968), Cartelier[2] (1995, 2018), and Piluso and Colletis (2021), who highlight status asymmetries between economic agents.

After reiterating the originality of Cartelier’s model, (1) the choice of credit rationing model will be explained. (2) The presentation of a new model of involuntary unemployment will show that the level of unemployment is insensitive to the fall in nominal wages. This result makes it possible to see under which conditions it is possible to answer Keynes’s problem, which is to show that an involuntary unemployment equilibrium can exist even when prices and wages are flexible.

1 Reviewing Cartelier’s Model (1995, 2018)

The purpose of this section is to reiterate that Glustoff’s result leads to the elimination of the role of real rigidities in unemployment theory. This is a particularly important result since labor market theories frequently emphasize rigidities or imperfections in the labor market (Cahuc & Zylberberg, 2004; Julien & Sanz, 2005). The general principles of Glustoff’s model will therefore be presented, following the method adopted by Cartelier in his 1995 and 2018 books.[3]

Let us consider a firm that produces a good for consumption and investment and a household that consumes the good and offers its labor. Suppose the household maximizes its utility under the constraint of the firm’s demand for labor, not its supply of labor. Its budget constraint is written as follows:

(1) C + ( 1 / i ) B d ( w / p ) L d ,

with C being the consumption of the good, B d the demand for the securities that enable it to invest its savings, i the interest rate on each security, w/p the real wage rate, and L d the demand for labor from the firm. We see here that the household budget constraint is under the control of the firm’s demand for labor. In fact, it is assumed that there is a status asymmetry between entrepreneurs and employees: the former unilaterally determines the employment level of the latter from the moment when real wages are above their equilibrium level.

Maximizing household utility under this constraint gives the following consumption and securities demand functions:

C d = C d ( 1 / i , w / p , L d ) B d = B d ( 1 / i , w / p , L d ) .

The firm’s budget constraint is written as follows:

(2) Y s + B s ( 1 / i ) = I d + ( w / p ) L d ,

with Y s being the supply of goods, I d the demand for goods for investment, and B s the supply of securities to finance the investment.

The firm’s supply and demand functions are written as follows:

I d = I d ( w / p , 1 / i ) ,

B s = B s ( w / p , 1 / i , L d ) ,

Y s = F ( L d , K ¯ ) ,

L d = L d ( w / p ) .

The general equilibrium of this economy is written as follows:

(3) L d L s = 0 C ( 1 / i , w / p , L d ) + I d ( 1 / i , w / p ) F ( L d , K ¯ ) = 0 B d ( 1 / i , w / p , L d ) B s ( 1 / i , w / p , L d ) = 0 .

This system does not fully satisfy Walras’s law, as the labor market is not part of it. This can be verified by summing budget constraints (1) and (2):

( 1 ) + ( 2 ) : C + ( 1 / i ) B d + I d + ( w / p ) L d = ( w / p ) L d + Y s + B s ( 1 / i ) ,

which gives

[ C d + I d y s ] + ( 1 / i ) [ B d ( . ) B s ( . ) ] = 0 .

As a result, the economy can be said to be in equilibrium in all markets except the labor market. This restriction of Walras’ law stems from the fact that, in the event of involuntary unemployment, the value of the supply of labor does not influence the demand for goods expressed by the worker. There is a continuum of involuntary unemployment equilibria set by the nominal wage.

The question is how price flexibility can prevent the restoration of equilibrium in the labor market. As far as the variation in the price of the good is concerned, which is likely to vary the real wage rate, the answer is contained in Walras’ restricted law. Insofar as the market for the good is perfectly balanced, there is no reason for the price to vary. Conversely, it is possible to think that a disequilibrium in the labor market could lead to a variation in nominal wages, allowing the real wage rate to return to its equilibrium value. It should be pointed out that both Glustoff and Cartelier assume that wages are rigid below a certain value. It is not wage rigidity that gives rise to the possibility of involuntary unemployment since it would be of no consequence in Walras’ model. On the contrary, it is wage rigidity that ensures the stability of such unemployment: “This is where Keynes’s assumption of nominal wage rigidity comes into its own. While the system admits the Walrasian equilibrium (without involuntary unemployment) as its only static solution, it is possible to show that adjustment towards this equilibrium can be prevented and that there are an infinite number of dynamic equilibria, only one of which corresponds to the absence of involuntary unemployment” (Cartelier, 1995, p. 51).

The models proposed by Glustoff and Cartelier (2018) thus have the merit of reminding us, as per Keynes, that no outcome of involuntary unemployment can occur as long as Walras’ law has not been violated. From the second chapter of his General Theory onwards, Keynes rejects the second classical postulate, according to which wage earners have the possibility of adjusting the marginal disutility of the volume of employment to the real wage rate. In his view, it is equivalent to positing the possibility of involuntary unemployment and rejecting Say’s law (or Walras’ law)[4] or the “second classical postulate.” Thus, in order to introduce the possibility of involuntary unemployment, it is sufficient to violate the “second classical postulate” and thus Walras’ law. There is no need to appeal to any market imperfection or invoke forecast uncertainty in order to obtain such a result. As Cartelier (2018) points out, Keynes posits such a rejection even before evoking the monetary character of the economy, the principle of effective demand, and the theory of the interest rate.[5]

The main limitation of this result, from the point of view of Keynes’s project, lies in the fact that a nominal wage cut is likely to reduce the level of unemployment. However, following the theoretical perspective opened up by Glustoff and Cartelier, it is possible to show that a situation of credit rationing makes unemployment insensitive to such a cut. It is therefore necessary to specify how credit rationing is to be modeled.

2 Modeling Credit Rationing

In this article, I model the financial relationship using Glustoff’s (1968) method applied to the wage relationship.

The first assumption adopted is that of the exogeneity of the interest rate in the banking market. This consideration has a fundamental point in common with recent models from the “new neoclassical synthesis” (Woodford, 2002) and post-Keynesian theory (Berr, 2018, Lavoie et al., 2021, Le Heron & Cottin-Euziol, 2021). In post-Keynesian theory, the interest rate is assumed to be administered by the central bank in the pure horizontalist tradition (according to which the money supply is endogenous). In dynamic and stochastic general equilibrium (DSGE) models, the interest rate is indeed endogenous, but in line with our approach, it is set by the central bank.[6] Insofar as the aim of our model is not to analyze the interaction between unemployment and central bank strategy but to account for the existence of involuntary unemployment in a flexible real wage situation, I consider the interest rate to be a parameter of the model.[7]

In general equilibrium theory, the fact that there is an a priori fixed price on the credit or financial market is not enough to generate an imbalance between supply and demand. If the nominal interest rate is fixed, the adjustment is made by the price level of the good, which leads to a change in the real interest rate. In order to account for misalignment between supply and demand for credit, we therefore need to be able to conceive that Walras’ law is no longer verified, i.e., that the imbalance in the banking market coexists with an equilibrium in all other markets, including that for goods and services. Since Keynes, we have known that this implies the existence of asymmetry between agents. In the case of the banking market, its disequilibrium implies that the firm’s budget constraint is subject to the banks’ supply of funds: I call this substitution of capital demand by supply in firms’ constraints the asymmetry between “financial capital” and entrepreneurs.

Therefore, if an imbalance in the banking market is possible, it is not so much because the interest rate is set by the Central Bank, but ultimately because it is the banks’ supply that determines the amount of investment that the firm will be able to make. The credit market, from the moment I assume asymmetry between productive and financial capital, is not the place for a confrontation of supply and demand. Banks’ investment decisions are sovereign. The amount of investment will therefore not correspond to the volume of capital that maximizes its profit, but to the value of the banks’ supply of funds.

The entrepreneur formulates a demand for capital, but this does not play a part in determining the investment. The latter is constrained by banks’ decisions.

This choice to model credit rationing is linked both to a specific theoretical position and to the aim of the article.

The theoretical position underlying the modeling is the idea that in certain markets (such as credit or labor), there is no confrontation between economic agents whose status or decision-making power is symmetrical. On the contrary, the decisions of a certain class of economic agents impose themselves on those of another. This hypothesis of asymmetrical status between agents is not simply based on that of Keynes, but also on hypotheses put forward by Marx, Smith, and Ricardo (Piluso & Cottin-Euziol, 2024). The immediate consequence of this hypothesis is that any imbalances in markets are not linked to their imperfection, but to the very nature of the economic system in which they operate. This means that certain markets are not characterized by simple exchange relations, but by subordination: between banks and entrepreneurs on the one hand and between employees and entrepreneurs on the other. The wage relationship is characterized by the subordination of employees to the decisions of entrepreneurs, who must rent out their labor factor in order to gain access to the goods market. Firms, on the other hand, are forced to take on debt in order to make the investments necessary for their production activities. When banks or financial intermediaries impose their decisions on entrepreneurs, this means that the effective interest rate is structurally lower than the equilibrium interest rate.

We find the notion of asymmetry between banks and entrepreneurs not in the General Theory, but in the Treatise on Money (1930). The latter deals with situations of credit restriction, largely ignored in General Theory. According to Keynes, banks can influence the quantity of money offered: “by varying the price and quantity of bank credits, the banking system regulates the value of investment … The banking system necessarily controls overall production expenditure” (p. 354); Keynes thus asserts that “in certain situations, the money supply of the banks ‘does not correspond to the heavy tendency of general economic activity’” (Keynes, p. 424). Investment may be “partly determined by the rationing policy of the banking system and by its lending conditions” (p. 380).

Status asymmetries between economic agents have nothing to do with information asymmetries, which are the result of imperfections in competition. The asymmetry I have highlighted distinguishes capitalism from a simple exchange economy. However, this in no way prevents information asymmetries from being added to the Keynesian ones. One does not exclude the other. On the contrary, they are complementary. Nevertheless, I do not take information asymmetries into account in my model, as my aim is to show that the relationship between wages and employment can be modified even if the main assumptions of perfect competition are maintained.

Furthermore, this article aims to enrich the initial model by Cartelier (1995), whose originality I have outlined above. It is therefore necessary, in this perspective, to adopt the same type of model. This will enable us to assess the contribution of credit rationing to the project of demonstrating involuntary unemployment with a flexible real wage.

3 Solving an Unemployment Model with Asymmetric Financial Reporting

The model is composed of three types of agents: a representative wage-earning household (of n homogeneous households) that consumes, saves, and offers its labor, a bank acting as a financial intermediary, and two representative firms belonging to two distinct sectors (the capital production sector and the consumer goods production sector).

The firm in the first sector, of the Ricardian type, does not hire employees:[8] it produces wheat (capital good) with wheat. The second firm produces barley (a consumption good) using a combination of labor (offered by households) and wheat (capital). The behaviors of the bank, the representative household, and the firms will be successively examined to finally solve the model.

The nature of the model is similar to Cartelier’s: it is an intertemporal general equilibrium model. There is a single price for each good and a market for all goods, whether present or future. Agents make their choices in the first period on all present and future goods, based on prices known today.

3.1 Bank’s Behavior

Unlike Cartelier’s model, the focus here is not on a financial market but on a bank credit market. In this model, the bank is seen as a financial intermediary that collects savings from households with financing capacity and lends them to economic agents in need of financing, i.e., businesses.

It is assumed that the interest rate on borrowing is identical to the interest rate on investment and is determined by the Central Bank. What distinguishes this bank credit market from the financial market in Cartelier’s model is that the bank has the capacity to issue an additional supply of funds proportional to the savings collected. The proportionality coefficient, exogenous as it is governed by the central bank, is noted ω . Households, for their part, receive all the interest collected from companies, because they are shareholders in the bank.[9]

3.2 Household Behavior

When the labor market is in excess supply, in other words, when there is involuntary unemployment, the labor supply is deactivated, and it is the value of the labor demand of the representative firm in sector 2 that is found in the employee’s budget constraint, taking into account the asymmetry hypothesis (Cartelier, 1995).

The consumer/worker maximization program is as follows:

Max . U ( C , B d ) = a ln C + b ln B d C , B d ,

under duress: w L d = p C + ( p / i ) ( 1 + ω ) B d ,

where C represents the consumption of the salaried household, B d is its demand for a bond, w designates the nominal wage, and L d the demand for labor. I define and model the bond as Cartelier (1995) presents it, namely as “an entitlement to a unit of good in all subsequent periods” (p. 42).[10] Parameter b measures the relationship between the level of savings offered and household utility. The greater the parameter, the more likely the household is to save. Finally, ω represents the proportion of loanable funds issued by the second-tier bank. These loanable funds are never more than a certain number of additional rights on future consumption. The household recovers the interest.

As a consequence, the utility function indicates that the household makes a choice between present consumption and savings, i.e., between present consumption and future consumption. This type of modeling can be found in Cartelier (1995, 1996) and Ludovic (2004).[11]

Solving the above program yields the following household demand functions:

(4) C = a a + b + 1 w p L d ,

(5) B d = b b + a + 1 w p ( 1 + ω ) ( i ) L d .

3.3 Behavior of the Firm in the First Sector (Capital Production)

It produces wheat with its own wheat, whose quantity is denoted by G and whose parametric price is called r. Its profit maximization program π b can be written as follows:

Max π b = r F ( G ) r G under duress: F ( G ) = λ G μ .

The wheat demand function G b of the firm in sector 1 can be deduced from the following:

(6) G b = 1 μ λ 1 μ 1 .

Its wheat supply function Y b is therefore:

(7) Y b = λ 1 μ λ μ μ 1 .

3.4 Behavior of the Firm in the Second Sector (Production of the Consumer Good)

The production function of the firm in sector 2 is written as follows:

Y s = f ( L , K ) = A L α K β with α < 1 , β < 1 ,

with Y s being the output (here, barley) and L and K the labor and capital factors (wheat), respectively, and A is the productivity parameter. In line with our double asymmetry hypothesis, I assume that the firm’s demand for capital is deactivated and that it is the value of household demand for securities that is included in firm 2’s budget and technology constraint. Furthermore, the firm expresses its demand for physical capital K to the firm in sector 1. Since the price of wheat is r, the sector 2 firm pays rK to sector 1. To finance this demand for capital, the firm submits an offer of securities on the financial market B s , which meets the bank’s offer of funds B d ( 1 + ω ) .[12] If the interest rate set by the central bank is below its equilibrium level, we have, given the assumption of financial asymmetry:

(8) r K = B d ( 1 + ω ) ,

hence

(8′) K = 1 r B d ( 1 + ω ) .

Firm 2’s maximization program is written here:

Max . π = p Y s w L d i ( r K ) L d

under duress Y s = A L α K β = A L α ( ( 1 / r ) B d ( 1 + ω ) ) β .

This gives us the following labor demand function:

(9) L d = α A ( ( 1 / r ) B d ( 1 + ω ) ) β w / p 1 1 α .

Walras’ law is now restricted to the markets for goods (barley) and physical capital (wheat). The sum of budget constraints gives

w / p ( L d L d ) + i / p ( B d ( 1 + ω ) B d ( 1 + ω ) ) + p ( Y s C ) + r ( Y b G b + K ) = 0 ,

hence, p ( Y s C ) + r ( Y b G b + K ) = 0 .

According to the corollary of Walras’ law, if the market for the good is in equilibrium, then so is the market for capital (wheat). The general equilibrium of the economy can therefore be given by the equation:

C = Y s ,

which is still written as follows:

(10) a a + b + 1 w p L d = A ( L d ) α ( ( 1 / r ) ( 1 + ω ) B d ) β .

Since the investment function (demand for capital) is deactivated, it is the demand for securities that figures in the equilibrium equation of the market for the good. The system consists of a single equation for three unknowns; the variables to be determined are the demand for securities B d , the demand for labor L d , and the real wage w / p . The demand for securities and the demand for labor are then parameterized by the interest rate, the price of physical capital r, and the nominal wage. This is what I now set out to verify.

3.5 Solving the Model: Involuntary Unemployment Equilibrium with Flexible Prices and Credit Rationing

In this model, the adjustment variable for the goods market is the real wage rate, which is therefore the model’s endogen. Replacing the consumer’s demand for securities with its expression in the labor demand function, we obtain

(11) L d = α A b a + b + 1 β ( 1 / r ) β ( 1 + ω ) β ( i ) β ( w / p ) 1 β 1 1 α β .

Let us rewrite (11), establishing that V = α A b a + b + 1 β ( 1 / r ) β ( 1 + ω ) ( i ) β . We then have

(11′) L d = V ( w / p ) 1 β 1 1 α β .

The goods supply function is obtained by substituting L and K in the production function with their respective expressions:

(12) Y s = A b a + b + 1 ( 1 / r ) ( 1 + ω ) ( i ) 2 β ( 1 α β ) + 1 1 α β × w p 2 β ( 1 α β ) + α + β 1 α β .

To simplify, let us assume that D = b a + b + 1 ( 1 / r ) ( 1 + ω ) ( i ) ) 2 β ( 1 α β ) + 1 1 α β . We can rewrite (10)

(12′) Y s = A D w p 2 β ( 1 α β ) + α + β 1 α β .

The real wage compatible with goods market equilibrium is then given by the equation:

(13) V ( w / p ) 1 β 1 1 α β w p E = A D w p 2 β ( 1 α β ) + α + β 1 α β ,

with E = a a + b + 1 . It is a function of all the model parameters: agent preference, interest rate, and production technology. Its expression can be written as follows:

(14) w p = A [ D ] 2 β ( 1 α β ) + α + β 1 α β ( V ) 1 1 α β [ E ] β ( 1 α β ) + α + β 1 α β .

4 Discussion

Equation (14) shows that the real wage is endogenous and determined by the model parameters. Instead of stimulating demand for labor, as in Glustoff and Cartelier, the nominal wage cut only affects the price of the good, which falls by the same proportion. The nominal wage cut therefore leaves the real wage unchanged, and as a result, the level of unemployment remains constant, whatever the value of production elasticities, and as a result whatever the level of factor productivity (Appendix). What we have here is a kind of “quantitative theory” of nominal wages. This does not mean, however, that the real wage is rigid: it fluctuates with price variations, in line with changes in the equilibrium of the goods market.

In terms of economic policy, the results are particularly intuitive. In a situation of credit rationing, equilibrium on the goods market is achieved by adjusting the real wage rate (equation (13)). Any positive shock to the demand for consumer goods (increase in the propensity to consume, equation (4)) leads to a rise in the price of goods and therefore a fall in the real wage (equation (13)). As the real wage falls, demand for labor rises and unemployment falls (equation (11′)). In line with Keynes’ analysis, it is necessary to stimulate consumption to address unemployment.[13]

I also need to act on the determinants of labor demand, namely the productivity parameter and the level of invested capital. Any increase in productivity (parameter A) or the proportion of loanable funds provided by the bank (parameter ω ) increases the level of investment and therefore employment (equation (11)).

The only “non-Keynesian” result of the model concerns the effect of a variation in the interest rate. In a rationing situation, a rise in the interest rate stimulates the supply of savings and increases investment by firms.[14] This result is linked to the rationing situation. However, it is possible to substitute an increase in the interest rate with a policy of credit expansion (an increase in the ω coefficient via, for example, a reduction in reserve requirements).

Consequently, in this “Cartelier-type” model, a number of Keynesian conclusions are evident from the moment credit is rationed:

  • It is ineffective to address unemployment by lowering nominal wages;

  • Unemployment can only be eliminated by stimulating consumption (e.g., by increasing the propensity to consume through redistribution) or investment (e.g., through credit development policies). By extension, we could imagine that public spending could play a part in stimulating aggregate demand.

The contrast with the model without credit rationing is therefore significant since, in the latter, a simple reduction in nominal wages is sufficient to resolve labor market imbalance (Piluso et al., 2023).

5 Conclusion

Linking unemployment to the credit market is not self-evident: it is necessary to adopt the hypothesis of asymmetry between financial and industrial capital, justified by the effective functioning of the credit market when it is rationed.

This result leads to the emergence of a further hypothesis, concerning the wage-employment relationship. The Keynesian theory of involuntary unemployment has been at a standstill since the contributions made by Cartelier (1995) and Glustoff (1968). Glustoff’s model demonstrated Keynes’s conjecture remarkably well, albeit with the caveat that the nominal wage cannot, by hypothesis, reach the value corresponding to the equilibrium level of the real wage. It is certainly possible to amend such a model by adopting the hypothesis of a decreasing link between wages and the demand price of capital, as well as a temporary equilibrium framework (Julien, 2004). Nevertheless, there is still a limit to Keynes’s result: While a fall in wages may cause effective demand to fall, entrepreneurs may also anticipate the opposite and increase the level of employment. Reading between the lines of chapter 19 of Keynes’s General Theory (1936), it appears that, in short, anything is possible with regard to the direction of the relationship between wages and employment. The same type of problem confronts L. Julien’s model, in which the result depends on an ad hoc anticipation function.

The hypothesis of asymmetry between finance and business, which characterizes the financial market economy, helps to move the debate forward. The addition of such a hypothesis to a Glustoff–Cartelier-type scheme yields a nominal wage whose variations have no effect on unemployment.


tel: +33-0631789651

Acknowledgements

Thanks to Jean Cartelier (specialist in general equilibrium models and unemployment theories) for their reading, commenting, and criticizing of the article.

  1. Funding information: The author indicates personal funding.

  2. Author contributions: The author confirms the sole responsibility for the conception of the study, presented results and manuscript preparation.

  3. Conflict of interest: The author states no conflict of interest.

  4. Data availability statement: Data sharing is not applicable (theoretical model).

  5. Article note: As part of the open assessment, reviews and the original submission are available as supplementary files on our website.

Appendix

The optimal labor demand is then:

L d = α A b a + b + 1 β ( 1 + i ) β A [ D ] 2 β ( 1 α β ) + α + β 1 α β ( C ) 1 1 α β [ E ] β ( 1 α β ) + α + β 1 α β 1 β 1 1 α β .

And involuntary unemployment U is given by the following expression (with L s the labor supply)

U = L s L d = L s α A b a + b + 1 β ( 1 + i ) β A [ D ] 2 β ( 1 α β ) + α + β 1 α β ( C ) 1 1 α β [ E ] β ( 1 α β ) + α + β 1 α β 1 β .

References

Azar, J., Huet-Vaughn, E., Marinescu, I., Taska, B., & Wachter, T. (2024). Minimum wage employment effects and labour market concentration. The Review of Economic Studies, 91(4), 1843–1883. doi: 10.1093/restud/rdad091.Search in Google Scholar

Bernanke, B., & Getler, M. (1989). Agency costs, net worth and business fluctuations. American Economic Review, 79(1), 14–31.Search in Google Scholar

Berr, E. (2018). L'économie post-keynésienne, Histoire, Théories, Politiques. Seuil.Search in Google Scholar

Blinder, A. (1987). Credit rationing and effective supply failures. Economic Journal, 97, 327–352.10.2307/2232882Search in Google Scholar

Block, S., & Galabuzi, G. E. (2022, April). Assessing the labour market impacts of Ontario’s 2018 minimum wage increase. Canadian Centre for Policy Alternatives. https://policyalternatives.ca/sites/default/files/uploads/publications/Ontario%20Office/2022/04/One%20step%20forward.pdf.Search in Google Scholar

Cahuc, P., & Zylberberg, A. (2004). Microéconomie du marché du travail, Repères.10.3917/dec.cahuc.2003.01Search in Google Scholar

Card, D., & Krueger A. B. (1994). Minimum wages and employment: A case study of the fast-food industry in New Jersey and Pennsylvania. The American Economic Review, 84(4), 772–793.10.3386/w4509Search in Google Scholar

Cartelier, J. (1995). L'économie de Keynes, Brussels, De Boek Université, Ouvertures économiques collection. Ballise Series.Search in Google Scholar

Cartelier, J. (1996). Chômage involontaire d'équilibre: Asymétrie entre salariés et non-salariés, la loi de Walras restreinte. Revue Economique, 47(3), 655–666.10.3406/reco.1996.409802Search in Google Scholar

Cartelier, J. (2018). Money, markets and capital: The case for a monetary analysis. Routledge.10.4324/9781351129244Search in Google Scholar

Cengiz, D., Dube, A., Lindner, A., & Zipperer, B. (2019). The effect of minimum wages on low-wage jobs: Evidence from the United States using a bunching estimator. Quarterly Journal of Economics, 134(3), 1405–1454.10.1093/qje/qjz014Search in Google Scholar

Cherif, M. (1999). Asymétrie d’information et financement des PME innovantes par le capital-risque. Revue d’Economie Financière, 4(54), 163–178.10.3406/ecofi.1999.4072Search in Google Scholar

Clemens, J., & Wither, M. (2019). The minimum wage and the Great Recession: Evidence of effects on the employment and income trajectories of low-skilled workers. Journal of Public Economics, 170, 53–67.10.1016/j.jpubeco.2019.01.004Search in Google Scholar

Gathak, M., Morelli, M., & Sjöström, T. (2002), Credit rationing, wealth inequality and allocation of talent. Discussion Paper, TE/02/441, The Suntory Centre.Search in Google Scholar

Glustoff, E. (1968). On the existence of a Keynesian Equilibrium. Review of Economic Studies, 3(35), 327–334.10.2307/2296665Search in Google Scholar

Julien, L. (2004). Chômage involontaire d'équilibre et flexibilité des prix dans une économie monétaire. Revue d’Economie Appliquée, 57(3), 113–140.Search in Google Scholar

Julien, L. A., & Sanz, N. (2005). Monopolistic competition, transaction costs and multiple equilibria. Economics Letters, 87(1), 21–26.10.1016/j.econlet.2004.08.010Search in Google Scholar

Kara, E. (2024). Unemployment volatility in a generalized staggered Nash wage bargaining framework. Canadian Journal of Economics, 57(2), 378–400.10.1111/caje.12709Search in Google Scholar

Kashyap, A., Stein, J., & Wilcox, D. (1994). Credit conditions and the cyclical behaviour of inventories. Quarterly Journal Of Economics, 109, 565–592.10.2307/2118414Search in Google Scholar

Keynes, J. M. (1930). A treatise on money. Classiques Garnier Edition, 2019.Search in Google Scholar

Keynes, J. M. (1936). The general theory of employment, interest and money. French translation, Payot.Search in Google Scholar

Kojima, N. (2009). Imperfect competition in differentiated credit contract markets. Annals of Finance, 5(2), 175–187.10.1007/s10436-008-0104-8Search in Google Scholar

Lavoie, M., Monvoisin, V., & Ponsot, J. F. (2021). L'économie postkeynésienne. La Découverte.Search in Google Scholar

Layard, R., Nickell, S., & Jackman, R. (1991). Unemployment: Macroeconomic performance and the labour market. Oxford.Search in Google Scholar

Le Heron, E., & Cottin-Euziol, E. (2021). Dynamique d’un modèle post-keynésien stock flux cohérent avec financement des dépenses courantes de production. Economie Appliquée, 1(2), 83–114.Search in Google Scholar

Le Héron, E., & Mouaki, T. (2008). A post-keynesian stock-flow consistent model for dynamic analysis of monetary policy shock on banking behavior. Metroeconomica, 59(3), 405–440.10.1111/j.1467-999X.2008.00313.xSearch in Google Scholar

Ludovic, J. (2004). Chômage involontaire d’équilibre et flexibilité des salaires dans une économie monétaire. Economie Appliquée, 57(3), 113–140.10.3406/ecoap.2004.3731Search in Google Scholar

Malinvaud, E. (1980). Réexamen de la théorie du chômage. Calmann Lévy.Search in Google Scholar

Piluso N. (2019). Les theories économiques de la monnaie. Ellipses.Search in Google Scholar

Piluso, N., & Colletis, G. (2021). A Keynesian reformulation of the WS-Ps model: Keynesian unemployment and Classical unemployment. Economia Politica, 38, 447–460.10.1007/s40888-021-00222-ySearch in Google Scholar

Piluso, N., & Cottin-Euziol, E. (2024). Keynes et les fondements ricardiens du marxisme. Cahiers d’Economie Politique, 1(84), 147–174.10.3917/cep1.084.0147Search in Google Scholar

Piluso, N., Le Heron, E., & Cottin-Euziol, E. (2023). Is Keynes’s involuntary unemployment only cyclical? A review of the debates on the formalization of Keynesian unemployment. Economic Interventions, Papers in Political Economy, online article. https://journals.openedition.org/interventionseconomiques/19694.Search in Google Scholar

Ray, D. (2024). Contracts, wage differentials and involuntary unemployment. Studies in Microeconomics, 12(1), 10–31. doi: 10.1177/232102222412455.Search in Google Scholar

Say, J. B. (1999). Cours d'économie politique. Flammarion.Search in Google Scholar

Stiglitz, J., & Weiss, L. (1981). Credit rationing in markets with imperfect information. American Economic Review, 71, 393–410.Search in Google Scholar

Taylor, J. B. (1993). Discretion vs policy rules in practise. Carnegie-Rochester Series on Public Policy, 39, 193–214.10.1016/0167-2231(93)90009-LSearch in Google Scholar

Toussaint Armel, B. (2015). La monnaie endogène, une critique de la théorie quantitative de la monnaie. L’Harmattan.Search in Google Scholar

Woodford, M. (2002). Interest and prices. Princeton University Press.Search in Google Scholar

Zhou, S. (2023). Relationship between minimum wage and the unemployment rate. Highlights in Business, Economics and Management, 21, 555–558. doi: 10.54097/hbem.v21i.14672.Search in Google Scholar

Received: 2024-06-26
Revised: 2024-09-14
Accepted: 2024-09-22
Published Online: 2024-10-16

© 2024 the author(s), published by De Gruyter

This work is licensed under the Creative Commons Attribution 4.0 International License.

Articles in the same Issue

  1. Regular Articles
  2. Political Turnover and Public Health Provision in Brazilian Municipalities
  3. Examining the Effects of Trade Liberalisation Using a Gravity Model Approach
  4. Operating Efficiency in the Capital-Intensive Semiconductor Industry: A Nonparametric Frontier Approach
  5. Does Health Insurance Boost Subjective Well-being? Examining the Link in China through a National Survey
  6. An Intelligent Approach for Predicting Stock Market Movements in Emerging Markets Using Optimized Technical Indicators and Neural Networks
  7. Analysis of the Effect of Digital Financial Inclusion in Promoting Inclusive Growth: Mechanism and Statistical Verification
  8. Effective Tax Rates and Firm Size under Turnover Tax: Evidence from a Natural Experiment on SMEs
  9. Re-investigating the Impact of Economic Growth, Energy Consumption, Financial Development, Institutional Quality, and Globalization on Environmental Degradation in OECD Countries
  10. A Compliance Return Method to Evaluate Different Approaches to Implementing Regulations: The Example of Food Hygiene Standards
  11. Panel Technical Efficiency of Korean Companies in the Energy Sector based on Digital Capabilities
  12. Time-varying Investment Dynamics in the USA
  13. Preferences, Institutions, and Policy Makers: The Case of the New Institutionalization of Science, Technology, and Innovation Governance in Colombia
  14. The Impact of Geographic Factors on Credit Risk: A Study of Chinese Commercial Banks
  15. The Heterogeneous Effect and Transmission Paths of Air Pollution on Housing Prices: Evidence from 30 Large- and Medium-Sized Cities in China
  16. Analysis of Demographic Variables Affecting Digital Citizenship in Turkey
  17. Green Finance, Environmental Regulations, and Green Technologies in China: Implications for Achieving Green Economic Recovery
  18. Coupled and Coordinated Development of Economic Growth and Green Sustainability in a Manufacturing Enterprise under the Context of Dual Carbon Goals: Carbon Peaking and Carbon Neutrality
  19. Revealing the New Nexus in Urban Unemployment Dynamics: The Relationship between Institutional Variables and Long-Term Unemployment in Colombia
  20. The Roles of the Terms of Trade and the Real Exchange Rate in the Current Account Balance
  21. Cleaner Production: Analysis of the Role and Path of Green Finance in Controlling Agricultural Nonpoint Source Pollution
  22. The Research on the Impact of Regional Trade Network Relationships on Value Chain Resilience in China’s Service Industry
  23. Social Support and Suicidal Ideation among Children of Cross-Border Married Couples
  24. Asymmetrical Monetary Relations and Involuntary Unemployment in a General Equilibrium Model
  25. Job Crafting among Airport Security: The Role of Organizational Support, Work Engagement and Social Courage
  26. Does the Adjustment of Industrial Structure Restrain the Income Gap between Urban and Rural Areas
  27. Optimizing Emergency Logistics Centre Locations: A Multi-Objective Robust Model
  28. Geopolitical Risks and Stock Market Volatility in the SAARC Region
  29. Trade Globalization, Overseas Investment, and Tax Revenue Growth in Sub-Saharan Africa
  30. Can Government Expenditure Improve the Efficiency of Institutional Elderly-Care Service? – Take Wuhan as an Example
  31. Media Tone and Earnings Management before the Earnings Announcement: Evidence from China
  32. Review Articles
  33. Economic Growth in the Age of Ubiquitous Threats: How Global Risks are Reshaping Growth Theory
  34. Efficiency Measurement in Healthcare: The Foundations, Variables, and Models – A Narrative Literature Review
  35. Rethinking the Theoretical Foundation of Economics I: The Multilevel Paradigm
  36. Financial Literacy as Part of Empowerment Education for Later Life: A Spectrum of Perspectives, Challenges and Implications for Individuals, Educators and Policymakers in the Modern Digital Economy
  37. Special Issue: Economic Implications of Management and Entrepreneurship - Part II
  38. Ethnic Entrepreneurship: A Qualitative Study on Entrepreneurial Tendency of Meskhetian Turks Living in the USA in the Context of the Interactive Model
  39. Bridging Brand Parity with Insights Regarding Consumer Behavior
  40. The Effect of Green Human Resources Management Practices on Corporate Sustainability from the Perspective of Employees
  41. Special Issue: Shapes of Performance Evaluation in Economics and Management Decision - Part II
  42. High-Quality Development of Sports Competition Performance Industry in Chengdu-Chongqing Region Based on Performance Evaluation Theory
  43. Analysis of Multi-Factor Dynamic Coupling and Government Intervention Level for Urbanization in China: Evidence from the Yangtze River Economic Belt
  44. The Impact of Environmental Regulation on Technological Innovation of Enterprises: Based on Empirical Evidences of the Implementation of Pollution Charges in China
  45. Environmental Social Responsibility, Local Environmental Protection Strategy, and Corporate Financial Performance – Empirical Evidence from Heavy Pollution Industry
  46. The Relationship Between Stock Performance and Money Supply Based on VAR Model in the Context of E-commerce
  47. A Novel Approach for the Assessment of Logistics Performance Index of EU Countries
  48. The Decision Behaviour Evaluation of Interrelationships among Personality, Transformational Leadership, Leadership Self-Efficacy, and Commitment for E-Commerce Administrative Managers
  49. Role of Cultural Factors on Entrepreneurship Across the Diverse Economic Stages: Insights from GEM and GLOBE Data
  50. Performance Evaluation of Economic Relocation Effect for Environmental Non-Governmental Organizations: Evidence from China
  51. Functional Analysis of English Carriers and Related Resources of Cultural Communication in Internet Media
  52. The Influences of Multi-Level Environmental Regulations on Firm Performance in China
  53. Exploring the Ethnic Cultural Integration Path of Immigrant Communities Based on Ethnic Inter-Embedding
  54. Analysis of a New Model of Economic Growth in Renewable Energy for Green Computing
  55. An Empirical Examination of Aging’s Ramifications on Large-scale Agriculture: China’s Perspective
  56. The Impact of Firm Digital Transformation on Environmental, Social, and Governance Performance: Evidence from China
  57. Accounting Comparability and Labor Productivity: Evidence from China’s A-Share Listed Firms
  58. An Empirical Study on the Impact of Tariff Reduction on China’s Textile Industry under the Background of RCEP
  59. Top Executives’ Overseas Background on Corporate Green Innovation Output: The Mediating Role of Risk Preference
  60. Neutrosophic Inventory Management: A Cost-Effective Approach
  61. Mechanism Analysis and Response of Digital Financial Inclusion to Labor Economy based on ANN and Contribution Analysis
  62. Asset Pricing and Portfolio Investment Management Using Machine Learning: Research Trend Analysis Using Scientometrics
  63. User-centric Smart City Services for People with Disabilities and the Elderly: A UN SDG Framework Approach
  64. Research on the Problems and Institutional Optimization Strategies of Rural Collective Economic Organization Governance
  65. The Impact of the Global Minimum Tax Reform on China and Its Countermeasures
  66. Sustainable Development of Low-Carbon Supply Chain Economy based on the Internet of Things and Environmental Responsibility
  67. Measurement of Higher Education Competitiveness Level and Regional Disparities in China from the Perspective of Sustainable Development
  68. Payment Clearing and Regional Economy Development Based on Panel Data of Sichuan Province
  69. Coordinated Regional Economic Development: A Study of the Relationship Between Regional Policies and Business Performance
  70. A Novel Perspective on Prioritizing Investment Projects under Future Uncertainty: Integrating Robustness Analysis with the Net Present Value Model
  71. Research on Measurement of Manufacturing Industry Chain Resilience Based on Index Contribution Model Driven by Digital Economy
  72. Special Issue: AEEFI 2023
  73. Portfolio Allocation, Risk Aversion, and Digital Literacy Among the European Elderly
  74. Exploring the Heterogeneous Impact of Trade Agreements on Trade: Depth Matters
  75. Import, Productivity, and Export Performances
  76. Government Expenditure, Education, and Productivity in the European Union: Effects on Economic Growth
  77. Replication Study
  78. Carbon Taxes and CO2 Emissions: A Replication of Andersson (American Economic Journal: Economic Policy, 2019)
Downloaded on 6.9.2025 from https://www.degruyterbrill.com/document/doi/10.1515/econ-2022-0125/html?lang=en
Scroll to top button